JP2005158025A - Soil contamination risk diagnosis apparatus and method, and program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a soil contamination risk diagnosis apparatus or the like diagnosing the risk of soil contamination on land. <P>SOLUTION: The control section 12 of the soil contamination risk diagnosis apparatus 1receives the input of data on the land of evaluation of interest, including an address, a land register, a code on a type of business of a land owner or the like, retrieves an inputted contamination type/degree DB (database) 113, reads associated contamination type data or the like, reads data on a unit price for a contamination disposal expense corresponding to the read contamination type data from the contamination type/degree DB 113 and a DB 114 for a contamination disposal expense for a standard value and the like, reads a contamination depth parameter corresponding to the inputted address data from a map information DB 116, calculates a contaminated soil amount by multiplying the inputted land register by the read contamination depth parameter, and calculates the contamination disposal expense for output by multiplying the calculated contaminated soil amount by the read unit price for the contamination disposal expense. <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

  The present invention relates to a soil contamination risk diagnosis apparatus, method, and program for determining a risk related to soil contamination for land evaluation.

  Conventionally, in banking operations such as corporate loans, the valuation price of land used as collateral is calculated, and the loan amount is determined based on this. On the other hand, in recent years, the problem of soil contamination has been regarded as important. However, as for soil contamination, the assessment method has not been established among many risks related to corporate financing. For example, there are cases where the collateral evaluation for land with soil contamination is zero. Banks are also beginning to look at a mechanism to dispose of large-scale land at risk of soil contamination after the survey.

For example, there is a method for assessing the value of land contaminated with soil (see, for example, Patent Document 1).
JP 2002-140463 A (pages 4-6, FIGS. 3, 4)

  Measures for determining the risk of soil contamination are particularly necessary in banking operations, etc., in financing and collateral for land where soil contamination is not clear, such as manufacturing industries, gas stations, and laundry stores that have soil contamination as a risk. It is risk judgment. A mechanism that can quantitatively determine the risks related to soil contamination has not been realized yet for such land where the presence or absence of soil contamination is unclear, and an immediate response is desired.

The present invention has been made in view of the above circumstances, and an object thereof is to provide a soil contamination risk diagnosis apparatus and method for performing a risk diagnosis regarding soil contamination of land.
It is another object of the present invention to provide a soil contamination risk diagnosis apparatus and method capable of obtaining a comprehensive risk that combines individual risks held by financial institutions.
It is another object of the present invention to provide a soil contamination risk diagnosis apparatus and method that can improve the processing efficiency of the risk diagnosis processing related to soil contamination of land.

In order to achieve the above object, a soil contamination risk diagnosis apparatus according to the first aspect of the present invention includes:
A first database in which an industry code and pollution type data indicating the type of soil contamination are associated;
A second database in which the pollution type data and the pollution treatment cost unit price indicating the unit price of the soil pollution treatment cost according to the pollution type are associated with each other;
A third database in which the address data and the pollution depth parameter are associated;
For the land to be evaluated, an input data receiving means for receiving input of data of an address, a land area, and an industry code of the owner of the land;
Contamination type data acquisition means for searching the first database for the input industry code and reading the contamination type data when the pollution type data corresponding to the industry code is registered in the first database. When,
Means for reading from the second database the data of the pollution processing cost unit price corresponding to the pollution type data read out by the pollution type data acquisition means;
Means for reading a contamination depth parameter corresponding to the input address data from the third database;
Means for calculating the amount of contaminated soil by multiplying the input land area and the read contamination depth parameter;
A contamination treatment cost calculation means for calculating a soil contamination treatment cost by multiplying the calculated amount of contaminated soil and the read contamination treatment cost unit price,
Output means for outputting data of the calculated soil contamination treatment cost;
It is characterized by providing.

A fourth database in which addresses and past owner business codes are associated with land,
A past business type code acquisition unit that reads the business type code of the past owner of the land, which is associated with the input address data,
The contamination type data acquisition means includes means for reading out the contamination type data when the contamination type data corresponding to the industry code read by the past industry code acquisition means is registered in the first database. Further, it may be provided.

A fifth database in which the industry code and the risk factor indicating the probability of occurrence of soil contamination purification work are associated;
Means for reading from the fifth database a risk factor corresponding to the industry code used for reading the pollution type data by the pollution type data acquisition means;
The output means may further output the read risk factor data.

A sixth database in which an industry code and image data of a risk curve, which is a curve indicating a relationship between the occurrence probability of soil contamination purification work and a soil contamination treatment cost, are associated;
Means for reading out image data of a risk curve corresponding to the industry code used for reading out the pollution type data by the pollution type data acquisition means, from a fifth database;
The output means may further output image data of the read risk curve.

A sixth database for storing land information related to the land to be evaluated may be further provided.
The input data receiving means uses the input data, and includes a registration ID, an address, a land area, an industry code of the land owner, a flag indicating the presence / absence of soil contamination purification work, and a purification cost. It may further comprise means for generating land information having data items and registering it in the sixth database,
The pollution treatment cost calculation means may further comprise means for setting the pollution treatment cost data calculated for the evaluation target land in the land information registered in the sixth database,
Of the land information registered in the sixth database, the input of specifying the land information related to the soil pollution accident and the input of the pollution processing cost are accepted, and the data of the contamination processing cost input for the specified land information. And setting the flag on,
In the sixth database, summing means for reading out and summing up the pollution treatment cost set in the land information for which the flag is set to ON,
Of the land information registered in the sixth database, for land information for which the flag is not set on, first calculation means for reading the pollution treatment cost for each industry code and calculating the total value;
The total value of the calculated pollution treatment cost for each business code is read out from the corresponding database for each industry code and multiplied by the risk factor, and the multiplied value is added up for all industry codes. A calculation means;
Means for calculating the total risk by adding the total value of the contamination treatment costs calculated by the first calculation means to the total value calculated by the second calculation means;
Means for outputting the calculated total risk data;
May be further provided.

In addition, the soil contamination risk diagnosis apparatus according to the second aspect of the present invention,
A pollution type database associated with an industry code and pollution type data indicating the type of soil pollution;
A land use database in which the address data and the industry code of the owner of the land specified by the address data are associated with each address data every predetermined period;
For the land to be evaluated, an input data receiving means for receiving the data of the address and the land owner's business type code;
First determination means for determining whether the input industry code is associated with pollution type data and registered in the pollution type database;
Reads the current business code of the owner of the land at the address around the input address from the land use database, and determines whether the read business code is registered in the pollution type database in association with the pollution type data Second discriminating means for
A business type code of a past owner of the land of the input address is read from the land use database, and it is determined whether the read business type code is associated with the pollution type data and registered in the pollution type database. Discrimination means;
Read out the business code of the past owner of the land at the address around the input address from the land use database, and determine whether the read business code is registered in the pollution type database in association with the pollution type data A fourth discriminating means;
In at least one of the first, second, third and fourth discriminating means, it is discriminated that the input or read type of business code is registered in the pollution type database in association with the pollution type data. A determination means for determining the land to be evaluated as a target for calculating the soil contamination treatment cost,
It is characterized by providing.

A treatment cost database associated with the pollution type data and a pollution treatment cost unit price indicating a unit price of soil pollution treatment cost according to the pollution type;
A contamination depth database associated with address data and a contamination depth parameter;
In the determination means, in at least one of the first, second, third and fourth determination means, the inputted or read type of business code is registered in the pollution type database in association with the pollution type data. If it is determined that the contamination type data is present, the contamination processing cost unit price data corresponding to the contamination type data is read from the treatment cost database, and the contamination depth parameter corresponding to the input address data is read from the contamination depth database and input. And a means for calculating and outputting the soil contamination treatment cost by multiplying the soil volume, the contamination depth parameter, and the contamination treatment cost unit price,
It is characterized by that.

Moreover, the soil contamination risk diagnosis method according to the third aspect of the present invention includes:
A soil contamination risk diagnosis method for performing a risk diagnosis on soil contamination using a computer,
An input step for receiving data of an address, a land area, and an industry code of a land owner for the land to be evaluated;
For the input industry code, the first database in which the industry code and the pollution type data indicating the type of soil contamination are associated is searched, and the pollution type data corresponding to the industry code is stored in the first database. If registered, reading the contamination type data;
The step of reading the data of the pollution processing cost unit price corresponding to the read pollution type data from the second database in which the pollution type data and the pollution processing cost unit price indicating the unit price of the contamination processing cost of the soil contamination are associated with each other. When,
Reading a contamination depth parameter corresponding to the input address data from a third database in which the address data and the contamination depth parameter are associated;
Multiplying the input land area and the read pollution depth parameter to calculate the amount of contaminated soil;
Multiplying the calculated amount of contaminated soil and the read unit cost of contamination processing to calculate a contamination processing cost;
Outputting the calculated contamination treatment cost data;
It is characterized by providing.

Moreover, the soil contamination risk diagnosis method according to the fourth aspect of the present invention includes:
A soil contamination risk diagnosis method for performing a risk diagnosis on soil contamination using a computer,
For the land to be evaluated, an input step for receiving input of data of the address and the type of business of the land owner,
A first determination step of determining whether the input industry code corresponds to an industry with a high probability of soil contamination;
From the land use database in which the address data of the land and the business type code of the owner of the land specified by the address data are associated with each address data every predetermined time, the current address of the land of the surrounding address of the input address A second discriminating step of reading out the business type code of the owner of the vehicle and determining whether the read out business type code corresponds to a business type having a high probability of soil contamination;
A third discriminating step of reading out a business code of a past owner of the land of the input address from the land use database, and discriminating whether the read business code corresponds to a business having a high probability of soil contamination;
A fourth determination for reading out the business code of the past owner of the land at the address around the input address from the first land use database and determining whether the read business code corresponds to a business with a high probability of soil contamination Steps,
In at least one of the first, second, third, and fourth determination steps, if it is determined that the industry code corresponds to an industry with a high probability of soil contamination, the land to be evaluated is determined for the cost of soil contamination treatment. A determination step of determining a calculation target;
It is characterized by providing.

A program according to the fifth aspect of the present invention is:
On the computer,
An input step for receiving data of an address, a land area, and an industry code of a land owner for the land to be evaluated,
For the input industry code, the first database in which the industry code and the pollution type data indicating the type of soil contamination are associated is searched, and the pollution type data corresponding to the industry code is stored in the first database. If registered, reading the contamination type data;
The step of reading the data of the pollution processing cost unit price corresponding to the read pollution type data from the second database in which the pollution type data and the pollution processing cost unit price indicating the unit price of the contamination processing cost of the soil contamination are associated with each other. ,
Reading a contamination depth parameter corresponding to the input address data from a third database in which the address data and the contamination depth parameter are associated;
Multiplying the input land area and the read pollution depth parameter to calculate the amount of contaminated soil;
Multiplying the calculated amount of contaminated soil and the read unit cost of contamination treatment to calculate a contamination treatment cost,
Outputting the calculated contamination treatment cost data;
Is executed.

  ADVANTAGE OF THE INVENTION According to this invention, the soil contamination risk diagnostic apparatus etc. for performing the risk diagnosis regarding the soil contamination of land can be provided.

(First embodiment)
Hereinafter, a soil contamination risk diagnosis apparatus according to a first embodiment of the present invention will be described with reference to the drawings.
FIG. 1 is a diagram illustrating a configuration example of a soil contamination risk diagnosis apparatus 1 according to the first embodiment of the present invention. The soil contamination risk diagnosis apparatus 1 is installed in a financial institution that provides financing with land as a collateral, a consulting company that performs risk assessment, and the like, as shown in the figure, a storage unit 11, a control unit 12, an input unit 13, The computer includes an output unit 14 and a communication unit 15. The soil contamination risk diagnosis apparatus 1 is connected to a terminal such as a personal computer via a network such as the Internet.

The storage unit 11 is composed of a rewritable storage device such as a hard disk device, for example. The storage unit 11 stores an operation program and various data for the control unit 12 to execute various processes.
Further, the storage unit 11 includes a registration DB 111, a land history DB 112, a contamination type / degree DB 113, a standard value contamination processing cost DB 114, a guaranteed value contamination processing cost DB 115, a map information DB 116, a risk factor DB 117, a risk curve DB 118, and the like. .

  The registration DB 111 stores land information related to the land to be evaluated. For example, as shown in FIG. 2, the land information includes a registration ID, an owner (in FIG. 2, the case where the corporation is the owner is illustrated as the corporation name), the business type, and the business type code (in this embodiment). , Industrial classification code), address, latitude and longitude (not shown) of the representative location of the land and surrounding location (not shown), land area, use area classification in the City Planning Act, within a predetermined period from now (for example, 3 years) Land use method, purchase ownership period, soil pollution treatment results information (presence / absence of soil contamination investigation, investigation contents, investigation results, presence / absence of purification treatment, presence / absence of monitoring, etc.), soil contamination treatment costs, past contamination information (past industry) Medium classification code), exclusion flag, accident information, etc. The representative position of the land indicates, for example, the position of the center of gravity of the land (the position where the least square sum of the distances from the outer periphery of the land is the lowest), the entrance, and the like, and the latitude and longitude are used as representative position information. The location to identify the surroundings is classified into basic landforms such as triangles, quadrilaterals, pentagons, and other basic terrain. For squares, each corner is located. It refers to the outer peripheral portion located at every predetermined angle such as 30 degrees or 45 degrees from the outer peripheral position intersecting with the straight line (toward the North Pole). Information related to such latitude and longitude includes (1) basic terrain, (2) latitude and longitude of the center of gravity position, (3) latitude and longitude of other representative positions such as the entrance, and (4) position of specifying the surroundings. Latitude, longitude, etc. are recorded in advance in the registration DB 111 as part of the land information shown in the figure.

The land history DB 112 stores use history information indicating the use history of each land in a predetermined area (for example, the whole country). The usage history information includes, for example, the address, the latitude and longitude that specify the representative position and surroundings of the land (see the land information), the type of the land owner of the past (for example, yearly), for example. Is associated with the information of the industry code (industry classification code, etc.) indicating.
In the pollution type / degree DB 113, for example, as shown in FIG. 3, pollution indicating an industrial classification code and pollution type (for example, VOC (Volatile Organic Compound) pollution, heavy metal pollution, complex pollution, etc.) A contamination type / degree table is stored that associates type data with contamination degree data (for example, divided into three levels) indicating the contamination degree of each contamination type.

The standard value contamination processing cost DB 114 stores a table that associates the contamination type data with the unit price data of the contamination processing cost for the standard value corresponding to the contamination type.
The guaranteed value contamination processing cost DB 115 stores a table that associates the contamination type data with the unit price data of the contamination processing cost for the guaranteed value according to the contamination type.
The map information DB 116 stores regional map data, regional address data, and groundwater level data (contamination depth parameter) indicating the groundwater level of the region in association with each other. In addition, the latitude and longitude information of each point on the map is recorded in the map information DB 116 as data at predetermined intervals such as 1 meter intervals. Also, the map information DB stores direction information so that the direction viewed from each point can be determined. For example, assuming the parallel direction toward the north pole as the north direction, the directions such as south and east-west are discriminated based on the parallel direction.
The risk factor DB 117 contains data on the probability of occurrence of soil contamination purification work, that is, the probability (risk factor) that soil contamination investigation and contamination purification processing will be performed on the land in a predetermined period (for example, one year). It is stored in association with the industrial classification code. Probability (risk factor) data to be subjected to contamination purification processing and the classifications in each industry are generated based on statistical data on past contamination and stored in the risk factor DB 117 in advance.
In the risk curve DB 118, image data of a curve (risk curve) indicating the relationship between the occurrence probability of soil contamination purification work (contamination investigation, purification treatment) and the cost of soil contamination treatment, and numerical data based on the data are classified into each industry classification code. Is stored in association with. Data regarding these risk curves is also generated based on statistical data regarding past contamination and stored in the risk curve DB 118 in advance. Note that these risk curve data may be recorded together with the risk factor data in the risk factor DB 117 without providing the risk curve DB 118 specially.

  The control unit 12 includes a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), and the like, and controls the entire soil contamination risk diagnosis apparatus 1. Specifically, the control unit 12 reads out and executes a predetermined program or the like stored in advance in the storage unit 11 to thereby execute a data reception unit 121, an individual risk evaluation unit 122, an overall risk evaluation unit 123, an accident data registration unit. 124, the registration data management unit 125 and the like are logically realized.

  The data reception unit 121 receives input of predetermined information (interview data) regarding the land to be evaluated as loan collateral, generates land information using the input data, and stores it in the registration DB 111 in the storage unit 11. The inquiry data can be input, for example, from predetermined data items (for example, corporate name, industry, industry code (in this example, the industrial classification code), address, land area, use area classification in the City Planning Act, and current Land use method within specified period (for example, 3 years), purchase ownership period, soil contamination survey / purification processing results information (presence / absence of soil contamination survey, survey contents, survey results, presence / absence of purification processing, monitoring / etc.) ) May be given to a land-owning corporation, etc., and a person in charge at the financial institution may input the contents entered from the input unit 13. Further, a web page having an input field for each data item may be transmitted to the land-owning corporation terminal via the network, and input data for the web page may be received from the terminal.

The individual risk evaluation unit 122 obtains the soil contamination treatment cost, risk factor, risk curve, etc. of the land to be evaluated for the land information registered in the registration DB 111, and creates the form data of the diagnosis sheet indicating these. Output etc. For example, the data reception unit 121 passes the land information registration ID to the individual risk evaluation unit 122 after the land information is generated and registered, and the individual risk evaluation unit 122 performs various processes on the land information specified by the registration ID. You may do it.
In addition, the soil contamination processing expense in a present Example includes soil contamination investigation expense, soil contamination purification expense, etc., for example.

  Regarding the calculation of the soil contamination treatment cost, the individual risk evaluation unit 122 calculates the standard value (standard price) of the soil contamination treatment cost and the guaranteed value (guaranteed price) guaranteed when the soil contamination treatment is performed by a predetermined organization. Is calculated. In the calculation process of soil contamination treatment costs, parameter values such as pollution type, degree of contamination, contamination depth, unit cost of contamination treatment, and amount of contaminated soil are obtained when there is a possibility of contamination of the land at present or in the past. Using these parameter values, the standard value and guaranteed value of the soil contamination treatment cost are finally calculated.

  Specifically, the individual risk evaluation unit 122 searches the land history DB 112 of the storage unit 11 and performs a predetermined period (for example, 10 years ago) corresponding to the address data included in the land information of the land to be evaluated. Read the industrial classification code of the land owner. Then, the pollution type / degree DB 113 in the storage unit 11 is searched using the current industrial classification code included in the land information of the evaluation target land and the past industrial classification code read from the land history DB 112 as search conditions. . If the contamination type data corresponding to the industrial classification code of any of the search conditions is registered in the contamination type / degree DB 113, it is determined that there is a possibility of contamination in the evaluation target land, Corresponding contamination type data and contamination degree data are read from the contamination type / degree DB 113. Then, the standard value pollution processing cost unit price and the guaranteed value pollution processing cost unit price corresponding to the read pollution type data are retrieved from the standard value pollution processing cost DB 114 and the guaranteed value pollution processing cost DB 115, respectively, and read out. .

  Then, the individual risk evaluation unit 122 reads out the map data and the like stored in the map information DB 116, specifies the position on the map data corresponding to the address data included in the land information to be evaluated, and near the position. For example, the position of three points is selected, and the groundwater level corresponding to the selected three positions (the depth of the aquifer, that is, the depth of the aquifer, the depth of the subsurface soil layer, and the estimated thickness of the clay layer) Depth added) is read out and averaged to calculate the average groundwater level. The underground part of the land is roughly divided into (1) underground soil layer (approximately 3-5 meters), (2) first aquifer (approximately 5-10 meters), and (3) clay layer. Depending on the degree of contamination, how many meters underground is polluted is statistically measured. And the pollution which reached | attained the 1st aquifer has the tendency for pollution to penetrate | invade easily to a clay layer because water penetrate | infiltrate. Therefore, identification of the depth at which the first aquifer begins is important information for calculating the contaminated depth. The depth of the aquifer (groundwater level data) and the thickness to the clay layer are stored in advance in the map DB 116 for each point in the map information. The method of selecting three points in the vicinity of the address position is arbitrary. For example, the position of each vertex of an equilateral triangle (one side is a predetermined short distance (for example, 20 meters)) centered on the address position, etc. You may choose. And the value which made the value of the pollution degree acquired previously act on the calculated average groundwater level is calculated as a contamination depth. For example, 30% of the average groundwater level when the pollution level is "1", 60% of the average groundwater level when the pollution level is "2", and the average groundwater level when the pollution level is "3". A value of 90% may be calculated as the contamination depth, or another calculation formula using the average groundwater level and the degree of contamination as variables may be used. The individual risk evaluation unit 122 is located at a predetermined distance (for example, 20 meters) toward a predetermined direction (for example, the north direction) using the latitude and longitude information of the representative position of the land recorded in the registration DB 111, for example. Select. Further, a circle having a radius that is the distance to the specified point with the representative position of the land as the center is created, and two other points that are equidistant from the specified point on the circle are selected. By doing so, the individual risk evaluation unit 122 selects three points near the address.

Note that a distance in units of latitude and longitude (or a unit of latitude and longitude smaller than that) is stored in advance in a predetermined area of the storage unit 11, and the individual risk evaluation unit 122 determines from the latitude and longitude information. A point-to-point distance is calculated to identify a point at a predetermined distance. When latitude and longitude information is recorded in the storage unit 11 as data at 1-meter intervals, a point that is closest to a predetermined distance is selected as the point. Also, the number of nearby points is not limited to three points, and the individual risk evaluation unit 122 selects another point on the straight line connecting the selected point on the circle and the representative position of the land, and the straight line. It is also possible to select four points in the vicinity by selecting other two points where the circle intersects with another straight line passing through the representative position of the land. As described above, the way of selecting a nearby point is arbitrary, and the individual risk evaluation unit 122 selects information for selecting a neighborhood recorded in advance in a predetermined area of the storage unit 11 (from the representative position of the land). ), The number of points to be selected, various selection means such as geometric means for selecting the points, etc.) to select a position near the address position.
Furthermore, the number of nearby points can be changed according to the degree of contamination previously identified by the individual risk evaluation unit 122. When the degree of contamination is high, increasing the number of neighboring points enables more accurate contamination depth. For example, when the individual risk evaluation unit 122 evaluates the degree of contamination as “1”, the individual risk evaluation unit 122 selects two nearby points. Further, when the degree of contamination is evaluated as “2”, a point near three points is selected. Further, when the degree of contamination is “3”, such as four neighboring points are selected. The degree of contamination and the number of neighboring points corresponding thereto are stored in advance in the storage unit 11 together with information for specifying the previous neighborhood. It is stored in the area, and the individual risk evaluation unit 122 refers to it when selecting a nearby point.
This selection of the neighboring points can be applied as it is when calculating the contamination depth in the second embodiment described later.

  Then, the individual risk evaluation unit 122 calculates the contaminated soil amount for the guaranteed value by multiplying the calculated contamination depth and the land area included in the land information, and calculates the contamination depth and the land area included in the land information. The amount of contaminated soil for the standard value is calculated by multiplying a predetermined ratio area (for example, 60% of the land area). Then, the standard value of the soil contamination treatment cost is calculated by multiplying the calculated contaminated soil amount for the standard value and the contamination treatment cost unit price for the standard value. In addition, the guaranteed amount of contaminated soil for the guaranteed value is multiplied by the contamination treatment cost unit price for the guaranteed value to calculate the guaranteed value of the soil contamination treatment cost, and the calculated result is registered based on the registration ID etc. It is set and stored in the data item of the pollution processing cost of the land information specified in the DB 111. When the pollution processing cost is calculated based on the past industrial classification code read from the land history DB 112, for example, the industrial classification code is also set in the data item of the past pollution information of the land information. Remember.

For example, when the individual risk evaluation unit 122 does not detect the corresponding pollution type data when searching the pollution type / degree DB 113 for the industrial classification code included in the land information, the individual risk evaluation unit 122 (standard charge) (Value and guaranteed value) may not be calculated.
Further, for example, when the individual risk evaluation unit 122 detects a plurality of corresponding contamination type data as a result of searching the contamination type / degree DB 113, the individual risk evaluation unit 122 may calculate the contamination processing cost for each contamination type.

  For the risk factor, the individual risk evaluation unit 122 uses the industrial classification code used for calculating the soil contamination treatment cost, that is, the industrial classification code used for reading the contamination type data from the contamination type / degree DB 113. The risk factor DB 117 is searched and the corresponding risk factor value is read out.

  In addition, the individual risk evaluation unit 122 uses the risk curve DB 118 for the industrial classification code used for calculating the soil contamination treatment cost, that is, the industrial classification code used for reading the pollution type data from the pollution type / degree DB 113. To retrieve the image data of the corresponding risk curve.

  Then, the individual risk evaluation unit 122, for example, risk factor data read from the risk factor DB 117, calculated soil contamination treatment cost (standard value, guaranteed value) data, and risk curve image read from the risk curve DB 118 Diagnosis by combining data and data indicating industrial classification used for calculation of pollution treatment costs (ie, used to read pollution type data etc. from the pollution type / degree DB 113) with predetermined form format data Form image data of the form is generated and output to a printer or the like. An example of the generated form image data is shown in FIG. Moreover, you may transmit the produced | generated form image data via the communication part 15 to the other computer connected with the soil contamination risk diagnostic apparatus 1 via networks, such as LAN.

  For example, the individual risk evaluation unit 122 determines whether the data item “presence / absence of soil contamination survey” included in the land information is set to “present”. For land information, the process of reading the risk factor from the risk factor DB 117 and the process of calculating the pollution processing cost are not performed. In this case, for example, the individual risk evaluation unit 122 regards the land information as an object to be excluded from the calculation processing of the contamination processing cost, and individually receives and inputs risk factor and contamination processing cost data by a person in charge or the like. The pollution processing cost data is set and registered in the land information pollution processing cost, and the exclusion flag in the land information is set to “ON”. In addition, when the contamination treatment cost is input later, the input of the contamination treatment cost data and the information (registration ID, address, etc.) specifying the land information is accepted, and the land information specified in the registration DB 111 is input. Contaminated disposal costs may be set.

  The total risk evaluation unit 123 calculates a total risk as a sum of individual collateral risks (individual risks) held by the financial institution according to the formula (1), and outputs the calculation result. Specifically, for land information registered in the registration DB 111 (excluding those for which the exclusion flag is set to ON), the data value of the pollution treatment cost is read and summed for each industrial classification. Also, for the land information (that is, the land information for which the exclusion flag is set to ON) that is the exclusion target (exclusion individual case) of the calculation processing of the pollution processing cost, the data value of the pollution processing cost is read and added up. . Then, as shown in (Equation 1), the total pollution treatment cost for each industrial category is multiplied by the risk factor for the corresponding industrial category, and the multiplied value is added up for all industrial categories. To do. Then, the total risk is calculated by adding the sum of the contamination treatment costs of the excluded individual cases to the total value. The total risk evaluation unit 123 outputs the calculated total risk to the output unit 14 (screen display, printing, etc.).

(Equation 1)
Total risk = Σ (Risk factor × (ΣIndividual risk by industry)) + Excluded individual risk (purification cost)

  The accident data registration unit 124 accepts input of data related to accidents such as the discovery of soil contamination regarding the land information registered in the registration DB 111, and sets and registers it in the corresponding land information. Specifically, input of information (for example, address, corporate name, registration ID, etc.) specifying the land information of the land where the soil pollution accident occurred and data relating to the accident (actual pollution processing cost, etc.) are input from the input unit 13. Accepts and identifies land information in the registration DB 111 based on the input information, sets and stores accident information (detected pollution type, pollution processing cost, etc.) for the land information, and sets an exclusion flag to ON To do.

The registered data management unit 125 performs a process of calculating and updating the risk factor of each industrial category periodically (for example, every six months).
Specifically, the risk evaluation unit 122 searches the registration DB 111 for each industrial category risk factor for each predetermined period (for example, every six months) using the industrial classification code as a search key. , Semi-annual), the number of registered land information including the industrial classification code, and the number of cases where pollution investigation or purification processing was performed (for example, the industrial classification code is included and the exclusion flag is set to “ON”) The number of registered land information) is counted. Then, using the calculation result based on the counting result (the number of registered land information and the number of pollution investigations and purification processes for each industrial classification for each predetermined period) and the predetermined statistical method stored in the storage unit 11, The rate of occurrence of soil contamination purification work (risk factor) of the land to be evaluated is calculated, and the calculated value is stored (updated) in the risk factor DB 117. For example, the maximum value, minimum value, recommended value, probability distribution, etc. of the occurrence rate may be calculated and registered in the risk factor DB 117. The statistical method to be used is arbitrary. For example, a calculation formula based on Poisson distribution may be used. In this case, for example, the above-mentioned counting results (the number of registered land information and the number of contamination surveys and purification processes performed for each industry classification for a given period) are used as the average value of the incidence of soil contamination surveys. May be.

The input unit 13 includes an input device such as a keyboard or a pointing device, for example. The input unit 13 is operated by a person in charge at a financial institution or the like.
The output unit 14 includes an output device such as a display device or a printer, and outputs various screens according to instructions from the control unit 12.
The communication unit 15 controls transmission / reception of data via a network with another computer (terminal or the like).

Next, the individual risk evaluation process executed in the soil contamination risk diagnosis apparatus 1 according to the first embodiment will be described with reference to the flowchart of FIG.
For example, a person in charge of a financial institution receives a loan request from a land-owning corporation, etc., and operates the input unit 13 to select “individual risk evaluation processing” from the processing menu in order to evaluate the land as collateral. To do.
In response to this input operation, the control unit 12 of the soil contamination risk diagnosis apparatus 1 accepts input of inquiry data (step S1). In this example, the person in charge of the financial institution inputs the inquiry data based on the document entered by the person in charge of the land-owning corporation.
When the input is completed, the control unit 12 generates land information based on the input inquiry data and stores it in the registration DB 111 (step S2).
Next, the control unit 12 performs a contamination treatment cost calculation process for calculating a standard value and a guaranteed value of the soil contamination treatment cost based on the evaluation target land information (step S3).

Here, the contamination processing cost calculation processing will be described in detail with reference to the flowchart of FIG.
First, based on the address data included in the land information to be evaluated, the control unit 12 reads out the industrial classification code corresponding to the address data before a predetermined period (for example, 10 years ago) from the land history DB 112 (step) S11). Then, the pollution type / degree DB 113 is searched using the industrial classification code indicating the current business type included in the evaluation target land information and the industrial classification code indicating the past business type acquired in step S11. (Step S12), it is determined whether or not the contamination type data corresponding to the industrial classification code of the search condition has been detected (step S13), and when the contamination type data corresponding to any of the industrial classification codes is detected (Step S13: YES), contamination type data and contamination degree data corresponding to the industrial classification code are read (Step S14).

Next, the control unit 12 sets the contamination processing cost unit price for standard values and the contamination processing cost unit price for guaranteed values corresponding to the read contamination type data, the contamination processing cost DB 114 for standard values, and the contamination processing cost DB 115 for guaranteed values. Are respectively retrieved and read out (step S15).
Next, the control unit 12 refers to the map data and the like stored in the map information DB 116, specifies the position on the map corresponding to the address data included in the land information to be evaluated, and a plurality of the vicinity of the position. The groundwater level data (contamination depth parameter) at the location of the point is read out, and an average groundwater level value obtained by averaging them is calculated (step S16). In this case, although not shown, the control unit 12 specifies the number of neighboring points according to the degree of contamination determined in step S12, and selects the neighboring points based on a predetermined selection method.
Next, the control part 12 calculates the value which made the value of the pollution degree acquired at step S14 act on the value of the average groundwater level calculated at step S16 as a contamination depth (step S17).

Next, the control unit 12 multiplies the contamination depth calculated in step S17 by the land area in the evaluation target land information to calculate the amount of contaminated soil for the guarantee value, and the contamination depth and the land information The amount of contaminated soil for the standard value is calculated by multiplying a predetermined area of the land area (for example, 60% of the land area) (step S18).
Then, the standard value of the soil contamination treatment cost is calculated by multiplying the amount of contaminated soil for the standard value calculated in step S18 by the contamination treatment cost unit price for the standard value acquired in step S15. The guaranteed value of the soil contamination treatment cost is calculated by multiplying the contaminated soil amount for the guarantee value calculated in S18 and the contamination treatment cost unit price for the guarantee value acquired in Step S15 (Step S19). Then, the calculation result is set and stored in the data item of the contamination processing cost in the corresponding land information of the registration DB 111 specified by the registration ID or the like (step S20), and the process returns to the main flow. If no contamination type data corresponding to the search condition is detected in step S13 (step S13: NO), for example, a message indicating that there is no possibility of contamination is output (displayed and printed) for the land to be evaluated. An end process for ending the process is performed (step S21).

  Returning to the main flow, the control unit 12 reads out the industrial classification code used for calculating the contamination processing cost, that is, the contamination type data from the contamination type / degree DB 113 in step S14 of the contamination processing cost calculation processing. The risk factor corresponding to the used industry classification code is read from the risk factor DB 117 (step S4). For example, when the pollution processing cost is calculated for the industrial classification code of the current industry, the risk factor corresponding to the industrial classification code included in the land information is read. Further, when the pollution processing cost is calculated for the industrial classification code of the past business type of the land, the risk factor corresponding to the industrial classification code read from the land history DB 112 is read from the risk factor DB 117.

Next, the control unit 12 reads out image data of the risk curve corresponding to the industrial classification code used for calculating the pollution treatment cost from the risk curve DB 118 (step S5).
Then, the control unit 12 calculates the read risk factor data, the calculated soil contamination treatment cost (standard value, guaranteed value) data, the risk curve image data read from the risk curve DB 118, and the contamination treatment cost. The data indicating the industrial classification used in the above is synthesized with the predetermined form format data to generate the form image data of the diagnosis form (step S6), and the generated form image data is output to the printer or the like (step S7). .

  As described above, according to the soil contamination risk diagnosis apparatus 1 according to the first embodiment, the risk of soil contamination can be calculated by obtaining and outputting the risk factor, the soil contamination treatment cost, etc. for the evaluation target land. Diagnosis can be made. In addition, the information used for risk diagnosis among the information acquired from land owners is only the address, land area, and current industry type, so objective diagnosis results that do not depend on the land owner's self-declaration, etc. should be obtained. Can do. In addition, the total risk that is the sum of individual risks held by financial institutions can be obtained.

(Second Embodiment)
Next, a soil contamination risk diagnosis apparatus according to the second embodiment of the present invention will be described. The soil contamination risk diagnosis apparatus 2 according to the second embodiment includes a storage unit 21, a control unit 22, an input unit 23, an output unit 24, and a communication unit 25, for example, as shown in FIG. Consists of a computer. Since the soil contamination risk diagnosis apparatus 2 has the same function and configuration as the soil contamination risk diagnosis apparatus 1 according to the first embodiment, differences from the first embodiment will be mainly described below.

  The storage unit 21 is composed of a rewritable storage device such as a hard disk device, for example, and stores an operation program and various data for the control unit 22 to execute various processes.

  The storage unit 21 includes a registration DB 211, a land use DB 212, a pollution type / degree DB 213, a pollution processing cost DB 214, an address conversion DB 215, a map information DB 216, a risk factor DB 217, a risk curve DB 218, a factory location information DB 219, and the like. Among these, regarding the registration DB 211, the contamination type / degree DB 213, the map information DB 216, the risk factor DB 217, and the risk curve DB 218, the registration DB 111, the contamination type / degree DB 113, the map information DB 116, the risk factor DB 117 in the first embodiment, This is the same as each risk curve DB 118.

  For example, as illustrated in FIG. 8, the land use DB 212 stores land use information related to land use status at each time point. The land use information includes, for example, address data of each land, a business type code indicating the business type of the owner of the land (classification code in the industry, etc.), and a change in the mode of land use (change of the owner and the business type accompanying it or Date) corresponding to the change in the industry code). Note that the land use DB 212 may store, for example, land use information related to the land use status for each year, and the current and past predetermined time points (in the present embodiment, “ The land use information in “1973” and “1988” as the second time point in the past) may be stored at a minimum. When the land use information related to the land use situation for each year is stored, the use situation on a predetermined date of each year is stored.

The contamination processing cost DB 214 is a database that stores a table associating the contamination type data with the unit price data of the contamination processing cost according to the contamination type, and is substantially the same as the standard value contamination processing cost DB 114 in the first embodiment. The same. Further, the map information DB 216 includes map data for each year, position address information in which position information indicating a position on the map in the map data for each year and address data indicating an address corresponding to the position are associated, Groundwater level data (contamination depth parameter information) in which the position on the map in the current map data and the groundwater level corresponding to the position are associated with each other are stored. For example, a year code is assigned to the map data and the location address information, and each may be associated using this year code. Further, the position information in the position address information may be, for example, data indicating latitude / longitude or data indicating a lot number. The latitude and longitude information sets at least one representative position latitude and longitude for the land address, and is recorded in advance in the map information DB 216 in association with the address.
Note that the map information DB 216 may be configured to store, at a minimum, map data, related location address information, and contamination depth parameter information at the first time point and the second time point in the past, for example. In addition, the information recorded in the map information DB 216 may be substantially the same as the contents in the map information DB 116 in the first embodiment.

  In the address conversion DB 215, in the same land, address data indicating notation of the current address, address data indicating notation of the address at a past predetermined time point (first past time point and past second time point), The address conversion information associated with is stored. As shown in FIG. 9, for example, the address conversion information includes position information, current address data, and address data at a predetermined point in the past. The address conversion DB 215 associates and stores the date of the current time (year, month, year, etc.) and the address data indicating the current and past addresses each time the address is converted. May be. The address conversion DB 215 is generated by an address conversion DB generation unit 226 described later.

  The factory location information DB 219 stores factory location information related to each factory location area in the past predetermined age (for example, 1945-30). The factory location information includes, for example, data such as a place name (place number) converted into a current address notation (current address), an industrial classification code corresponding to the business contents of the factory, and the like for each factory location area.

  The control part 22 is comprised from CPU, ROM, RAM, etc., and controls the soil contamination risk diagnostic apparatus 2 whole. Specifically, the control unit 22 reads and executes a predetermined program or the like stored in advance in the storage unit 21, thereby executing a data reception unit 221, an individual risk evaluation unit 222, an overall risk evaluation unit 223, an accident data registration unit. 224, registration data management unit 225, address conversion DB generation unit 226, etc. are logically realized. Among these, the data reception unit 221, the accident data registration unit 224, and the registration data management unit 225 have the same functions as the data reception unit 121, the accident data registration unit 124, and the registration data management unit 125 in the first embodiment, respectively. Have.

  The individual risk evaluation unit 222 acquires the soil contamination treatment cost, risk factor, risk curve, etc. for the land to be evaluated only for the land information corresponding to the predetermined condition among the land information registered in the registration DB 211. An individual risk evaluation process is performed to create and output form data of a diagnosis form indicating For example, the data reception unit 221 passes the land information registration ID to the individual risk evaluation unit 222 after the land information is generated and registered, and the individual risk evaluation unit 222 performs individual risk evaluation processing on the land information specified by the registration ID. May be performed.

  In this individual risk evaluation process, the individual risk evaluation unit 222 determines whether or not there is a high possibility of soil contamination based on the current land use situation and surrounding situation for the evaluation target land information. And the third to fifth discrimination processes for judging whether or not the possibility of soil contamination is high based on the past land use situation (geographical history) and the surrounding situation. The soil contamination treatment cost is calculated only for the land information that is determined to have a high possibility of soil contamination in any one of the discrimination processes of 5.

  In the first discrimination process, the individual risk evaluation unit 222 searches the contamination type / degree DB 213 for the industrial classification code of the land information to be evaluated, and whether the contamination degree data is set (or the contamination degree is predetermined). By determining whether or not it is higher than the standard), the degree of possibility of soil contamination is determined from the industry of the current landowner, and it is determined whether or not there is a high possibility of soil contamination for the evaluation target land To do. In addition, when it is determined that the contamination level does not satisfy the predetermined standard, for example, the contamination type data is not set in the contamination type / level DB 213 (or whether the contamination level is equal to or higher than a predetermined standard). 2 is performed. The individual risk evaluation unit 222 refers to reference data for performing the first discrimination processing (that is, whether contamination level data is set or whether the contamination level is equal to or higher than a predetermined standard). When it is determined that it does not correspond to the reference, the following second determination process is performed. The reference data for performing the first determination process is stored in advance in a predetermined area of the storage unit 21, and the individual risk evaluation unit 222 refers to the reference data and performs determination on the land to be determined.

In the second determination process, the individual risk evaluation unit 222 specifies, for example, the address of the surrounding land (including the location, that is, latitude and longitude) from the address of the land information to be evaluated, and the industry corresponding to the specified address. By acquiring the middle classification code from the current land use information in the land use DB 212, searching the pollution type / degree DB 213 for the acquired industrial middle classification code, and determining whether the pollution type data is set, the current surrounding area The degree of possibility of soil contamination is determined from the type of business of the land owner at the address, and it is determined whether or not there is a high possibility of soil contamination in the current surroundings of the land to be evaluated. The method of specifying the address of the surrounding land from the address of the land to be evaluated is arbitrary. For example, a predetermined part of the address of the land to be evaluated (for example, “XX city, XX city, XX town”) The address including the extracted character string (partially matching) may be specified as the address of the surrounding land. In addition, using the latitude and longitude information of the land for which the input has been accepted, the surrounding land can be specified using the latitude and longitude information of the representative position of the land described in the first embodiment. The method for identifying the surrounding land can be the same as that described in the first embodiment. The individual risk evaluation unit 222 reads latitude and longitude information as representative positions from the address data of the land that has received the input from the map information DB 216, and a predetermined distance from the representative position in a predetermined direction (for example, the north direction). Select a position in (eg 500 meters). Further, the other two points are selected on a circle centered on the representative position of the land, the radius of which is the distance to the selected point, and equidistant from the selected point. By doing so, the individual risk evaluation unit 222 selects three points around the land address.
Note that a distance in units of latitude and longitude (or units of latitude and longitude that are smaller than that) is stored in advance in a predetermined area of the storage unit 21, and the individual risk evaluation unit 222 calculates the latitude and longitude information. A point-to-point distance is calculated to identify a point at a predetermined distance. When latitude and longitude information is recorded in the storage unit 21 as data at 1-meter intervals, a point that is closest to a predetermined distance is selected as the peripheral point. Further, the number of surrounding points is not limited to three points, and the individual risk assessment unit 222 selects another point on the straight line connecting the selected point on the circle and the representative position of the land, and the straight line The other four points may be selected by selecting two other points that intersect with a straight line passing through the representative position of the land and a circle. As described above, the way of selecting the surrounding points is arbitrary, and the individual risk evaluation unit 222 selects the information (from the representative position of the land) for selecting the surroundings recorded in the predetermined area of the storage unit 21 in advance. The distance around the address position is selected with reference to the distance, the number of points to be selected, and various selection means such as geometric means for selecting the points.

Furthermore, the number of surrounding points can be changed according to the degree of contamination previously identified by the individual risk evaluation unit 222. When the degree of contamination is high, increasing the number of surrounding points enables more accurate contamination depth. For example, when the individual risk evaluation unit 222 evaluates the degree of contamination as “1”, the individual risk evaluation unit 222 selects two surrounding points. In addition, when the degree of contamination is evaluated as “2”, three neighboring points are selected. Further, when the pollution degree is “3”, the surrounding points of four spots are selected. The degree of pollution and the number of surrounding points corresponding thereto are preliminarily determined in advance in the storage unit 21 along with information for specifying the surroundings. It is stored in the area, and the individual risk evaluation unit 222 refers to it when selecting a peripheral point.
The individual risk assessment unit 222 obtains the industrial classification code corresponding to the specified address of the selected surrounding land from the current land use information in the land use information DB 212, and stores the pollution type / degree DB 213 for the acquired industrial classification code. Search to determine whether pollution type data is set.
When it is not determined that there is a high possibility of soil contamination around the evaluation target land, the individual risk evaluation unit 222 performs a third determination process. The individual risk evaluation unit 222 refers to the reference data for performing the second determination process (that is, whether or not the contamination type data is set for the surrounding land), The third discrimination process is performed. The reference data for performing the second determination process is stored in advance in a predetermined area of the storage unit 21, and the individual risk evaluation unit 222 refers to this reference data and performs determination on the land to be determined.

In the third discrimination process, the individual risk evaluation unit 222 performs part or all of the evaluation target land at the past first time point and the second time point (or all the time points, the same applies hereinafter). Determine the possibility of soil contamination based on the landowner's industry. Specifically, the first and second past time data corresponding to the current address set in the land information is read from the address conversion DB 215, and the first past time and the second The industrial classification code corresponding to the address data at time 2 is read from the land use DB 212. Then, the pollution type / degree DB 213 is searched for each industrial classification code that has been read out, and the degree of possibility of soil contamination is determined from the past land owner's type of business by determining whether the pollution type data is set. Discriminate and determine whether there is a high possibility of soil contamination for the land to be evaluated. In this determination, when the contamination type data is set for at least one of the industrial classification codes, it is determined that there is a high possibility of soil contamination in the evaluation target land. When it is determined that it does not meet the standard by referring to the standard data for implementing the third discrimination process (that is, whether the pollution type data is set based on the business type of the past land owner) The following fourth discrimination process is performed. The reference data for performing the third discrimination process is stored in advance in a predetermined area of the storage unit 21, and the individual risk evaluation unit 222 refers to the reference data and performs discrimination on the discrimination target land.
When it is not determined that the possibility of soil contamination is high for the evaluation target land, the individual risk evaluation unit 222 performs a fourth determination process.

In the fourth determination process, the individual risk evaluation unit 222 determines the possibility of soil contamination in the vicinity of the evaluation target land based on the land owner's business type at the first time point and the second time point in the past. To do. Specifically, the past first time point and the second time point address data corresponding to the peripheral addresses acquired in the second determination process are read from the address conversion DB 215, and the read past first time point is read. And the industrial classification code corresponding to the address data at the second time point are respectively read from the land use DB 212. The method of selecting the surrounding land here can be the same as the method of selecting the current surrounding address described above. Then, by searching the pollution type / degree DB 213 for each industrial classification code read out and determining whether the pollution type data has been set, the possibility of soil contamination from the land owner's type of business in the past surrounding address And determine whether the soil to be evaluated has a high possibility of soil contamination. In this determination, when the contamination type data is set for at least one of the industrial classification codes, it is determined that there is a high possibility of soil contamination in the evaluation target land. Referring to the standard data for implementing the fourth discrimination process (that is, whether or not the pollution type data is set based on the past land owner's industry of the surrounding land), it is determined that it does not meet the standard Then, the following fifth discrimination process is performed. The reference data for performing the fourth determination process is stored in advance in a predetermined area of the storage unit 21, and the individual risk evaluation unit 222 refers to the reference data and performs determination on the land to be determined.
When it is not determined that the possibility of soil contamination is high for the evaluation target land, the individual risk evaluation unit 222 performs a fifth determination process.

  In the fifth discrimination process, the individual risk assessment unit 222 discriminates whether the land to be evaluated corresponds to each factory location area in the past predetermined age (for example, 1950 to 30). Determine possible soil contamination. Specifically, the factory location information DB 219 is searched for the address in the land information to be evaluated, and it is determined whether there is corresponding factory location information. In this determination, when the corresponding factory location information is searched, it is determined that the possibility of soil contamination is high for the land to be evaluated. The contents of the search conditions used in this search process are arbitrary. For example, a character string of a predetermined part (for example, “XX prefecture XX city XX town”) in the address of the land to be evaluated is extracted. Then, it is also possible to search for factory location information in which place names including (partially matching) the extracted character string are set. Then, for example, it is determined whether or not the same address as the address of the land to be evaluated is included in the searched factory location information, and if it is included, the individual risk evaluation unit 222 is capable of soil contamination of the evaluation target land. Judgment is high.

In the first to fourth determination processes, if it is determined that the contamination level data corresponding to the industrial classification code is set in the contamination type / degree DB 213, the industrial classification code is calculated as a cost. It is stored in a work storage area such as a RAM as an industrial class code.
Further, in the fifth determination process, when it is determined that there is the corresponding factory location information from the factory location information DB 219, the industrial classification code in the factory location information is stored as RAM as the industrial calculation classification code for cost calculation. Is stored in the work storage area.

In the calculation processing of the soil contamination treatment cost, the individual risk evaluation unit 222 obtains parameter values such as the contamination type, the degree of contamination, the contamination depth, the contamination treatment cost unit price, and the amount of contaminated soil, and finally uses these parameter values. Calculate the upper limit, standard value, and lower limit of the soil contamination treatment cost.
Specifically, the individual risk evaluation unit 222 reads the industrial classification code for cost calculation from a work storage area such as a RAM, and reads pollution type data and pollution degree data corresponding thereto from the pollution type / degree DB 113. Then, the pollution processing cost unit price corresponding to the read pollution type data is read from the pollution processing cost DB 214. And the individual risk evaluation part 222 reads the present map data memorize | stored in map information DB216, the related location address information, and contamination depth parameter information, for example, and average groundwater level by the calculation method similar to 1st Embodiment Is calculated. Then, the individual risk evaluation unit 222 multiplies the amount of contaminated soil obtained by multiplying the calculated contamination depth and the land area included in the land information by the unit cost of the contamination treatment cost to calculate the upper limit value of the soil contamination treatment cost. To do. Further, the individual risk evaluation unit 222 sets the amount of contaminated soil for the standard value by multiplying the contamination depth, the land area, and the predetermined rate, and multiplies this by the contamination treatment cost unit price, thereby standardizing the soil contamination treatment cost. Calculate the value. Here, for example, a building coverage ratio may be used as the predetermined ratio. The occupancy rate data may be read from the land information, or input may be received from the input unit 23 separately. When reading the data of the occupancy rate from the land information, an input about the occupancy rate may be accepted as part of the inquiry data and included in the land information. In addition, the individual risk evaluation unit 222 calculates a value obtained by multiplying the contamination depth by the predetermined area as a lower limit value of the soil contamination treatment cost. Here, as the predetermined area, for example, an area of a facility part that handles hazardous substances in the evaluation target land (hazardous substance handling facility area) may be used. Data on the area for handling hazardous substances may be read from the land information, or input may be received from the input unit 23 separately. When reading the data on the area of hazardous substance handling facilities from the land information, input about the area of hazardous substance handling facilities may be accepted as part of the inquiry data and included in the land information.

For the risk factor, the individual risk evaluation unit 222 searches the risk factor DB 217 for the cost calculation industrial classification code used to calculate the soil contamination treatment cost, and reads the value of the corresponding risk factor.
For the risk curve, the individual risk evaluation unit 222 searches the risk curve DB 118 for the cost calculation industrial classification code used to calculate the soil contamination treatment cost, and reads the image data of the corresponding risk curve.

Then, the individual risk evaluation unit 222, for example, risk factor data read from the risk factor DB 217, calculated soil contamination treatment cost (upper limit, standard value, lower limit) data, and risk read from the risk curve DB 218 The image data of the curve and the industrial classification code for cost calculation used for calculating the pollution treatment cost are combined with the predetermined form format data to generate the form image data of the diagnosis form and output it to the printer or the like. Moreover, you may transmit the produced | generated form image data via the communication part 25 to the other computer connected with the soil contamination risk diagnostic apparatus 2 via networks, such as LAN.
The individual risk evaluation unit 222 sets and stores the calculated soil contamination processing cost (upper limit value, standard value, lower limit value) data in the corresponding land information in the registration DB 211.

  The total risk evaluation unit 223 calculates a total risk as a sum of individual collateral risks (individual risk) held by the financial institution according to the formula (2), and outputs the calculated total risk to the output unit 24 (screen display) , Printing, etc.).

(Equation 2)
Total risk = Σ (Probability of individual soil contamination (F) × (Soil contamination cost (D))

  Specifically, the overall risk evaluation unit 223 calculates (probability of individual soil contamination (F) × (soil contamination cost (D)) for each piece of land information registered in the registration DB 211. The total risk is calculated by totaling the calculated values, where “probability of individual soil contamination (F)” is the probability that soil contamination will occur when individual collateral is surveyed ( (Probability of occurrence) multiplied by “bankruptcy probability” for each creditor category, for example, for each land information, the value estimated using past soil contamination excess case data It may be input from the input unit 23, or the risk factor value corresponding to the industrial classification code for cost calculation used for calculating the soil contamination treatment cost for each land information may be used. For example, for each piece of land information, a value may be input from the input unit 23, and a creditor (land owner) using land information and / or other information related to land information. Are classified into the first to third groups based on the reliability, the bankruptcy probability is set to 0.5% for the first group, the bankruptcy probability is set to 10% for the second group, The bankruptcy probability may be set to 100% for the group 3. The classification processing method to the first to third groups is arbitrary, for example, for each land information using multiple regression analysis, neural network, etc. The bankruptcy rate may be calculated and classified into one of the groups based on the calculation result, in which case the first group is 80% of the total, the second group is 15% of the total, 3 The group may be sorted so as to be 5% of the total.

  The address conversion DB generation unit 226 generates address conversion information in which current address data and past address data are associated, and performs processing of registering in the address conversion DB 215. Specifically, for example, data indicating the address of each land at the present, data indicating the address of each land at the first time in the past, and data indicating the address of each land at the second time in the past, Acquired from the location address information and the like stored in the map information DB 216, the data of each current address is data indicating the address of each land at the first time in the past, and the data of each land at the second time in the past It is determined whether or not the data indicates an address. For the address determined not to exist at the past time, the fact is displayed on the output unit 24, and the past (first time in the past and / or second time in the past) should be linked to the address. An address or the like is designated and input from the input unit 23 by an operator or the like. Then, the address conversion DB 215 is generated by generating address conversion information (see FIG. 9) in which the current address and the past address are associated with each other and storing it in a predetermined file. The address conversion DB generation unit 226 may acquire position information (latitude / longitude, lot number, etc.) corresponding to each address from the map information DB 216 and include it in the address conversion information.

The input unit 23 includes an input device such as a keyboard or a pointing device, for example. The input unit 23 is operated by a person in charge of a financial institution or the like.
The output unit 24 includes an output device such as a display device or a printer, and outputs various screens according to instructions from the control unit 22.
The communication unit 25 controls data transmission / reception via a network with another computer (terminal or the like).

Next, address conversion DB generation processing by the soil contamination risk diagnosis apparatus 2 according to the second embodiment will be described with reference to the flowchart of FIG.
The control unit 22 of the soil contamination risk diagnosis device 2 responds to a predetermined input operation (for example, input of a request for generating address conversion information) and data indicating the current address of each land and the past first time point. The data which shows the address of each land in and the data which shows the address of each land in the past 2nd time are acquired from the position address information etc. which are memorize | stored in map information DB216 (step S31).
Next, the control part 22 takes out the data of one address as a process target from the data which show the address of each land now (step S32).

  Next, the control unit 22 determines whether the address data extracted in step S32 exists in the data indicating the address of each land at the past first time point (step S33). (YES), the address data is determined as address data at the first past time associated with the address data to be processed (step S34), and when it is determined that it does not exist (NO), the address to be processed is A message indicating that the message does not exist at the first past time point is displayed on the output unit 24, and an input for designating address data to be associated with the address to be processed is selected from the address data of each land at the first past time point. The received and designated address data is set as address data at a first past time point associated with the address data to be processed (step S35).

  Next, the control unit 22 determines whether the address data extracted in step S32 exists in the data indicating the address of each land at the past second time point (step S36). (YES), the address data is determined as the address data of the past second time to be associated with the address data to be processed (step S37), and when it is determined that it does not exist (NO), the address to be processed is A message to the effect that the message does not exist at the second time point in the past is displayed on the output unit 24, and an input for specifying an address to be associated with the address to be processed is received from the address data of each land at the second time point in the past. The designated address data is set as address data at the second time point in the past, which is associated with the address data to be processed (step S38).

  Next, the control unit 22 generates address conversion information in which the current address, the past first time point, and the past second time point address are associated, and the storage destination file in the storage unit 22 Store in (address conversion DB 215) (step S39). And the control part 22 discriminate | determines whether the process was completed about all the data which show the address of each land now (step S40), and when not completed (NO), it transfers to step S32, and is completed If yes (YES), this process is terminated. Thereby, address conversion DB215 is produced | generated.

Next, the individual risk evaluation process by the soil contamination risk diagnosis apparatus 2 according to the second embodiment will be described with reference to the flowchart of FIG.
The control unit 22 of the soil contamination risk diagnosis apparatus 2 accepts input of inquiry data including the location of the land and the type of business in response to a predetermined input operation (for example, input of an execution request for the individual risk evaluation process) (step S41). ). The inquiry data can be all or part of the land information shown in FIG. 2 in the first embodiment.
When the input is completed, the control unit 22 generates land information based on the input inquiry data and stores it in the registration DB 211 (step S42).
Next, the control unit 22 determines whether or not contamination level data is set in the contamination type / degree DB 213 for the industrial classification code in the land information to be evaluated (first determination process) (step S43). Instead of determining whether the contamination level data is set, it may be determined whether the contamination level is a certain level or higher (for example, whether the contamination level in FIG. 3 is “2” or higher). Data of contents to be determined by the control unit 22, such as whether contamination level data is set or whether the contamination level is a certain level or more, is stored in a predetermined area of the storage unit 21 in advance. Reference numeral 22 refers to the stored data to be determined, and determines the degree of contamination.

  In this first discrimination process, for the industrial classification code in the land information to be evaluated, the pollution degree data is not set in the pollution type / degree DB 213 (or the pollution degree is below or below a certain level), etc. Is determined not to satisfy the predetermined standard (step S43: NO), the control unit 22 identifies the address of the surrounding land from the address (location) of the land information to be evaluated, and the industry corresponding to the identified address The middle classification code is acquired from the current land use information in the land use DB 212, and it is determined whether or not the pollution type data is set in the pollution type / degree DB 213 for the acquired industrial middle classification code (second discrimination process) (step) S44).

  In this second determination process, when it is determined that no contamination level data is set in the contamination type / degree DB 213 for the industrial classification code corresponding to the peripheral address of the land to be evaluated (step S44: NO), The control unit 22 reads the address data of the past first time point and the second time point corresponding to the current address set in the land information to be evaluated from the address conversion DB 215, and uses the read address data as the read address data. The corresponding industrial classification code is read from the land use DB 212, and it is determined whether or not the contamination type / degree DB 213 is set with the contamination type data for each industrial classification code read (third determination process) (step S45). .

  In this third discrimination process, pollution degree data is set in the pollution type / degree DB 213 for the industrial classification codes corresponding to the land owner's type of business in the past at the first time point and the second time point of the evaluation target land. When it is determined that it has not been performed (step S45: NO), the control unit 22 stores the data of the addresses at the past first time point and the second time point corresponding to the peripheral addresses of the land to be evaluated identified at step S42. Is read from the address conversion DB 215, the industrial classification code corresponding to the read address data is read from the land use DB 212, and is the contamination type / degree DB 213 set with the contamination type data for each industrial classification code read out? Is determined (fourth determination process) (step S46).

  In this fourth discrimination process, the pollution type / degree DB 213 indicates the degree of contamination in the industrial classification code corresponding to the land owner's type of business in the past at the first and second points of time around the evaluation target land. When it is determined that the data is not set (step S46: NO), the control unit 22 determines whether the factory location information corresponding to the address in the land information to be evaluated exists in the factory location information DB 219 (first). 5) (step S47).

  In step S43, when it is determined that the contamination type / degree DB 213 has the contamination degree data set for the industrial classification code in the evaluation target land information (YES), or in step S44, the evaluation target land For the industrial classification code corresponding to the surrounding address, if it is determined that the pollution degree data is set in the pollution type / degree DB 213 (YES), or in step S45, the past first of the land to be evaluated If it is determined that the contamination type / degree DB 213 has the contamination degree data set for the industrial classification code corresponding to the landowner's business type at the time point and the second time point (YES), or in step S46, In-industrial classification codes corresponding to the landowner's industry at the first and second points in time in the surrounding addresses of the land to be evaluated If it is determined that the contamination degree data is set in the contamination type / degree DB 213 (YES), the control unit 22 uses the industrial classification code as an industrial classification code for cost calculation and a work storage area such as a RAM. Then, the pollution processing cost calculation process is performed for the land to be evaluated (step S48).

  Further, when it is determined in step S47 that the factory location information corresponding to the address in the land information to be evaluated exists in the factory location information DB 219 (YES), the control unit 22 sets the industrial classification code in the factory location information. After being stored in the work storage area such as RAM as an industrial classification code for cost calculation, pollution processing cost calculation processing is performed for the land to be evaluated (step S48). When it is determined that the factory location information corresponding to the address in the land information to be evaluated does not exist in the factory location information DB 219 (NO), the individual risk evaluation process is terminated.

Here, the contamination processing cost calculation processing will be described in detail with reference to the flowchart of FIG.
First, the control unit 22 reads the cost calculation industrial classification code from a work storage area such as a RAM, and reads the contamination type data and the contamination degree data corresponding to the cost calculation industrial classification code (step S61).

Next, the control unit 22 retrieves and reads out the pollution processing cost unit price corresponding to the read pollution type data from the pollution processing cost DB 114 (step S62).
Next, the control unit 22 refers to the current map data stored in the map information DB 216, the corresponding location address information, and the contamination depth parameter information, to the address data included in the evaluation target land information. The corresponding position on the map is specified, the groundwater level data (contamination depth parameter) at the three points in the vicinity of the position is read, and the average groundwater level value obtained by averaging them is calculated (step S63).
Next, the control unit 22 calculates, as the contamination depth, a value obtained by applying the value of the degree of contamination obtained in Step S61 to the value of the average groundwater level calculated in Step S63 (Step S64).

Next, the control unit 22 calculates the upper limit value of the soil contamination treatment cost by multiplying the contamination depth calculated in step S64 by the land area in the evaluation target land information and the contamination treatment cost unit price, and the contamination depth. The standard value of the soil pollution treatment cost is calculated by multiplying the land area, the predetermined rate (building coverage ratio, etc.) and the pollution treatment cost unit price, and multiplying the contamination depth by the prescribed area (hazardous substance handling facility area, etc.) pollution treatment cost unit price. In addition, a lower limit value of the soil contamination treatment cost is calculated (step S65).
Then, the calculation result is set and stored in the data item of the contamination processing cost in the corresponding land information of the registration DB 211 specified by the registration ID or the like (step S66), and the process returns to the main flow.

Returning to the main flow, the control unit 22 reads out the risk factor corresponding to the industrial category code for cost calculation from the risk factor DB 217 (step S49).
Next, the control unit 22 reads out image data of the risk curve corresponding to the industrial category code for cost calculation from the risk curve DB 118 (step S50).
Then, the control unit 22 reads the risk factor data, the calculated soil contamination treatment cost (upper limit value, standard value, lower limit value) data, the risk curve image data read from the risk curve DB 118, and the cost calculation. The industrial middle classification code data and the like are combined with predetermined form format data to generate a form image data of a diagnosis form (step S51), and the generated form image data is output to a printer or the like (step S52).

  As described above, according to the second embodiment, since the soil contamination processing cost is calculated only for the collateral property having a high possibility of soil contamination, the processing efficiency of the individual risk evaluation can be improved.

The present invention is not limited to the above embodiment, and various modifications and applications are possible.
For example, in the first embodiment, the contamination processing cost is calculated when there is a possibility of contamination at the present and past time points. However, the present invention is not limited to this. If the contamination type / degree DB is searched for only the code) and there is a possibility of contamination, the contamination processing cost may be calculated. In addition, the industrial classification code corresponding to the land is read from the land history DB for a plurality of past time points (for example, 3 years ago, 5 years ago, and 10 years ago, etc.), and the pollution classification / If the degree DB is searched and the corresponding contamination type data is registered, the contamination processing cost may be calculated.

  In addition, the method for obtaining the contamination depth is not limited to the above description. For example, the average value of the groundwater level may be used as it is without affecting the degree of contamination, and the groundwater level corresponding to the address position may be used. May be used as the contamination depth as it is.

  In addition, the flow of the individual risk evaluation process in the first and second embodiments is an example. For example, the first process until receiving the inquiry data and generating / registering the land information and the registered land For information, it is necessary to input information for specifying land information such as address and registration ID by the person in charge of the financial institution, and to generate and output the form data of the diagnosis form for the land information specified by the input data The processing of 2 may be executed independently.

  Moreover, although the industrial classification code is used as the code indicating the business type, the code to be used is not limited to this, and other various codes indicating the business type are applicable.

  In the second embodiment, 1973 and 1988 are used as an example for the past first time point and the second past time point, but the present invention is not limited to this, and other years may be used. . Further, the number of past time points to be used is also arbitrary.

  In the second embodiment, the past address corresponding to the current address is acquired from the address conversion DB 215, and then the past location address information is searched for the past address. However, the present invention is not limited to this. For example, the past location address information is searched for the current address, and when the corresponding information (record) does not exist, the address conversion DB 215 is accessed to obtain the past address, and the past location is based on the obtained address. You may make it search address information.

The system of the present invention can be realized using a normal computer system, not a dedicated system. For example, a program for executing the above operation is stored in a computer-readable recording medium (FD, CD-ROM, DVD, etc.) and distributed, and the program is installed in the computer to execute the above processing. The soil contamination risk diagnosis device 1 or the like may be configured. Alternatively, it may be stored in a disk device of a server device on a network such as the Internet and downloaded to a computer, for example.
In addition, when the OS realizes the above functions by sharing the OS or jointly of the OS and the application, only the part other than the OS may be stored and distributed in the medium, or may be downloaded to the computer. Good.

It is a schematic diagram which shows an example of a structure of the soil contamination risk diagnostic apparatus which concerns on the 1st Embodiment of this invention. It is a figure which shows an example of the data structure of land information. It is a figure which shows an example of the data memorize | stored in pollution type and grade DB. It is a figure which shows an example of the form image data of a diagnostic form. It is a flowchart of the individual risk evaluation process in 1st Embodiment. It is a flowchart of the contamination process expense calculation process in 1st Embodiment. It is a schematic diagram which shows an example of a structure of the soil contamination risk diagnostic apparatus which concerns on the 2nd Embodiment of this invention. It is a figure which shows an example of the data structure of land use information. It is a figure which shows an example of the data structure of address conversion information. It is a flowchart of an address conversion DB generation process. It is a flowchart of the individual risk evaluation process in 2nd Embodiment. It is a flowchart of the contamination process expense calculation process in 2nd Embodiment.

Explanation of symbols

1, 2, Soil contamination risk diagnosis device 11, 21 Storage unit 111, 211 Registration DB
112 Land History DB
113, 213 Contamination type / degree DB
114 Standard value pollution treatment DB
115 Contamination processing cost DB for guaranteed values
116, 216 Map information DB
117, 217 Risk factor DB
118, 218 Risk curve DB
12, 22 Control unit 121, 221 Data receiving unit 122, 222 Individual risk evaluation unit 123, 223 Total risk evaluation unit 124, 224 Accident data registration unit 125, 225 Registration data management unit 226 Address conversion DB generation unit 13, 23 Input unit 14, 24 Output unit 15, 25 Communication unit 212 Land use DB
214 Contamination processing cost DB
215 Address conversion DB
219 Factory Location Information DB

Claims (10)

A first database in which an industry code and pollution type data indicating the type of soil contamination are associated;
A second database in which the pollution type data and the pollution treatment cost unit price indicating the unit price of the soil pollution treatment cost according to the pollution type are associated with each other;
A third database in which the address data and the pollution depth parameter are associated;
For the land to be evaluated, an input data receiving means for receiving input of data of an address, a land area, and an industry code of the owner of the land;
Contamination type data acquisition means for searching the first database for the input industry code and reading the contamination type data when the pollution type data corresponding to the industry code is registered in the first database. When,
Means for reading from the second database the data of the pollution processing cost unit price corresponding to the pollution type data read out by the pollution type data acquisition means;
Means for reading a contamination depth parameter corresponding to the input address data from the third database;
Means for calculating the amount of contaminated soil by multiplying the input land area and the read contamination depth parameter;
A contamination treatment cost calculation means for calculating a soil contamination treatment cost by multiplying the calculated amount of contaminated soil and the read contamination treatment cost unit price,
Output means for outputting data of the calculated soil contamination treatment cost;
A soil contamination risk diagnosis apparatus comprising: A fourth database in which addresses and past owner business codes are associated with land,
A past industry code acquisition means for reading out the industry code of the past owner of the land, which is associated with the input address data,
The contamination type data acquisition means includes means for reading out the contamination type data when the contamination type data corresponding to the industry code read by the past industry code acquisition means is registered in the first database. In addition,
The soil contamination risk diagnosis apparatus according to claim 1, wherein: A fifth database in which the industry code and the risk factor indicating the probability of occurrence of soil contamination purification work are associated;
Means for reading from the fifth database a risk factor corresponding to the industry code used to read the pollution type data by the pollution type data acquisition means;
The output means further outputs the read risk factor data.
The soil contamination risk diagnosis apparatus according to claim 1 or 2, characterized in that. A sixth database in which an industry code and image data of a risk curve, which is a curve indicating a relationship between the occurrence probability of soil contamination purification work and a soil contamination treatment cost, are associated;
Means for reading out image data of a risk curve corresponding to the industry code used for reading out the pollution type data by the pollution type data acquisition means, from a fifth database;
The output means further outputs image data of the read risk curve;
The soil contamination risk diagnosis apparatus according to any one of claims 1 to 3. A sixth database for storing land information on the land to be evaluated;
The input data receiving means uses the input data, and includes a registration ID, an address, a land area, an industry code of the land owner, a flag indicating the presence / absence of soil contamination purification work, and a purification cost. Means for generating land information having data items and registering it in the sixth database;
The pollution treatment cost calculation means further comprises means for setting the pollution treatment cost data calculated for the land to be evaluated in the land information registered in the sixth database,
Of the land information registered in the sixth database, the input of specifying the land information related to the soil pollution accident and the input of the pollution processing cost are accepted, and the data of the contamination processing cost input for the specified land information. And setting the flag on,
In the sixth database, summing means for reading out and summing up the pollution treatment cost set in the land information for which the flag is set to ON,
Of the land information registered in the sixth database, for land information for which the flag is not set on, first calculation means for reading the pollution treatment cost for each industry code and calculating the total value;
The total value of the calculated pollution treatment cost for each business code is read out from the corresponding database for each industry code and multiplied by the risk factor, and the multiplied value is added up for all industry codes. A calculation means;
Means for calculating the total risk by adding the total value of the contamination treatment costs calculated by the first calculation means to the total value calculated by the second calculation means;
Means for outputting the calculated total risk data;
The soil contamination risk diagnosis apparatus according to any one of claims 1 to 4, further comprising: A pollution type database associated with an industry code and pollution type data indicating the type of soil pollution;
A land use database in which the address data and the industry code of the owner of the land specified by the address data are associated with each address data every predetermined period;
For the land to be evaluated, an input data receiving means for receiving the data of the address and the land owner's business type code;
First determination means for determining whether the input industry code is associated with pollution type data and registered in the pollution type database;
Reads the current business code of the owner of the land at the address around the input address from the land use database, and determines whether the read business code is registered in the pollution type database in association with the pollution type data Second discriminating means for
A business type code of a past owner of the land of the input address is read from the land use database, and it is determined whether the read business type code is associated with the pollution type data and registered in the pollution type database. Discrimination means;
Read out the business code of the past owner of the land at the address around the input address from the land use database, and determine whether the read business code is registered in the pollution type database in association with the pollution type data A fourth discriminating means;
In at least one of the first, second, third and fourth discriminating means, it is discriminated that the input or read type of business code is registered in the pollution type database in association with the pollution type data. A determination means for determining the land to be evaluated as a target for calculating the soil contamination treatment cost,
A soil contamination risk diagnosis apparatus comprising: A treatment cost database associated with the pollution type data and a pollution treatment cost unit price indicating a unit price of soil pollution treatment cost according to the pollution type;
A pollution depth database associated with address data and a pollution depth parameter;
The input data receiving means receives an input of a land area corresponding to an address,
In the determination means, in at least one of the first, second, third and fourth determination means, the inputted or read type of business code is registered in the pollution type database in association with the pollution type data. If it is determined that there is a contamination type data, the contamination processing cost unit price data corresponding to the contamination type data is read from the processing cost database, the contamination depth parameter corresponding to the input address data is read from the contamination depth database, and the input A means for calculating and outputting a soil contamination treatment cost by multiplying the calculated land area, the contamination depth parameter, and the contamination treatment cost unit price,
A soil contamination risk diagnostic apparatus characterized by that. A soil contamination risk diagnosis method for performing a risk diagnosis on soil contamination using a computer,
An input step for receiving data of an address, a land area, and an industry code of a land owner for the land to be evaluated;
For the input industry code, the first database in which the industry code and the pollution type data indicating the type of soil contamination are associated is searched, and the pollution type data corresponding to the industry code is stored in the first database. If registered, reading the contamination type data;
The step of reading the data of the pollution processing cost unit price corresponding to the read pollution type data from the second database in which the pollution type data and the pollution processing cost unit price indicating the unit price of the contamination processing cost of the soil contamination are associated with each other. When,
Reading a contamination depth parameter corresponding to the input address data from a third database in which the address data and the contamination depth parameter are associated;
Multiplying the input land area and the read pollution depth parameter to calculate the amount of contaminated soil;
Multiplying the calculated amount of contaminated soil and the read unit cost of contamination processing to calculate a contamination processing cost;
Outputting the calculated contamination treatment cost data;
A soil contamination risk diagnosis method comprising: A soil contamination risk diagnosis method for performing a risk diagnosis on soil contamination using a computer,
For the land to be evaluated, an input step for receiving input of data of the address and the type of business of the land owner,
A first determination step of determining whether the input industry code corresponds to an industry with a high probability of soil contamination;
From the land use database in which the address data of the land and the business type code of the owner of the land specified by the address data are associated with each address data every predetermined time, the current address of the land of the surrounding address of the input address A second discriminating step of reading out the business type code of the owner of the vehicle and determining whether the read out business type code corresponds to a business type having a high probability of soil contamination;
A third discriminating step of reading out a business code of a past owner of the land of the input address from the land use database, and discriminating whether the read business code corresponds to a business having a high probability of soil contamination;
A fourth determination for reading out the business code of the past owner of the land at the address around the input address from the first land use database and determining whether the read business code corresponds to a business with a high probability of soil contamination Steps,
In at least one of the first, second, third, and fourth determination steps, if it is determined that the industry code corresponds to an industry with a high probability of soil contamination, the land to be evaluated is determined for the cost of soil contamination treatment. A determination step of determining a calculation target;
A soil contamination risk diagnosis method comprising: On the computer,
An input step for receiving data of an address, a land area, and an industry code of a land owner for the land to be evaluated,
For the input industry code, the first database in which the industry code and the pollution type data indicating the type of soil contamination are associated is searched, and the pollution type data corresponding to the industry code is stored in the first database. If registered, reading the contamination type data;
The step of reading the data of the pollution processing cost unit price corresponding to the read pollution type data from the second database in which the pollution type data and the pollution processing cost unit price indicating the unit price of the contamination processing cost of the soil contamination are associated with each other. ,
Reading a contamination depth parameter corresponding to the input address data from a third database in which the address data and the contamination depth parameter are associated;
Multiplying the input land area and the read pollution depth parameter to calculate the amount of contaminated soil;
Multiplying the calculated amount of contaminated soil and the read unit cost of contamination treatment to calculate a contamination treatment cost,
Outputting the calculated contamination treatment cost data;
A program for running

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