KR101968712B1 - Climate change vulnerability evaluation system based on web - Google Patents

Abstract

The present invention relates to a web-based climate change vulnerability assessment system that improves user friendliness and improves reliability. To this end, the present invention provides an information processing apparatus comprising: an interface unit for transmitting and receiving data to and from an external source data providing unit; A source DB for storing source data provided through the interface unit, an indicator DB for storing indicator data processed based on the source data DB, And an evaluation item DB in which climate change vulnerability evaluation items are stored; A presentation unit having a query unit for receiving input from a user and a result display unit for displaying a query result; And a vulnerability index calculation unit for calculating a climate change vulnerability evaluation index using the index DB and the evaluation item DB based on the condition inputted through the inquiry unit and transmitting the result to the presentation unit .
Therefore, according to the present invention, it is possible to easily set a query condition without searching for complicated index items individually, to generate a user-specific vulnerability index by providing a user-customized query condition, There is an advantage that information can be inquired according to requirements.

Description

Web-based climate change vulnerability assessment system

The present invention relates to a web-based climate change vulnerability assessment system, and more particularly to a web-based climate change vulnerability assessment system that improves user friendliness and improves reliability.

Climate change impacts and vulnerabilities are the extent to which the system is unlikely to be able to cope with the extent to which the system is susceptible to the continuing damage caused by climate change or the adverse impacts of climate change, CCGIS (Climate Change Adaptation Toolkit based on GIS) and LCCGIS (Local Government Climate Change Adaptation Toolkit based on GIS) have been developed and used.

The CCGIS has been developed for wide-area local governments and is designed to maximize the accessibility of the essential baseline data for comprehensive and systematic impact assessment and adaptation measures for climate change. In addition, the LCCGIS was developed to support the establishment of a detailed implementation plan for basic local governments' climate change adaptation.

As a related patent, referring to Patent No. 10-1200368, a climate change vulnerability assessment system according to the prior art has a climate exposure, sensitivity, and adaptability variable storage, and stores an administrative area storing administrative boundary data A city / state / village data conversion unit, a weight storage unit, a vulnerability index calculation unit, and a vulnerability standardization value comparison unit.

However, in the prior art described above, when searching for vulnerability index, the user must individually find and input an index item using conditions such as the climate parameter selection window of FIG. 1, so that the user who is not familiar with the index item or the untrained user is difficult to use There were disadvantages. In addition, there was no way to properly handle the reliability of the data even if it was questioned because the origin of the indicator data could not be known.

In addition, it shows vulnerability results by using preset indicator data, etc., and can not satisfy other users' various needs of different kinds of data.

In addition, there are disadvantages when it is divided into CCGIS for the wide-area local government and LCCGIS for the basic local government, and it is a disadvantage that it is used as a separate program and it is inconvenient to change the administrative district.

SUMMARY OF THE INVENTION The present invention has been made to solve the above-mentioned problems, and it is an object of the present invention to provide a climate change vulnerability assessment system that can easily use a user without knowing a large number of index items and can trace raw data.

It is also intended to provide a customized vulnerability index to meet various needs of users.

It also provides a linkage system with wide-area municipalities and basic municipalities, so that it is possible to inquire climate change vulnerability conveniently.

According to an aspect of the present invention, there is provided an image processing apparatus including an interface unit for transmitting / receiving data to / from an external source data providing unit; A source DB for storing source data provided through the interface unit, an indicator DB for storing indicator data processed based on the source data DB, And an evaluation item DB in which climate change vulnerability evaluation items are stored; A presentation unit having a query unit for receiving input from a user and a result display unit for displaying a query result; And a vulnerability index calculation unit for calculating a climate change vulnerability evaluation index using the index DB and the evaluation item DB based on the condition inputted through the inquiry unit and transmitting the result to the presentation unit .

The evaluation item DB includes an administrative zone storage unit for storing boundary data of the administrative zone; An item section for storing the vulnerability field and the detail item; A substitution variable storage for storing climate exposure variables, sensitivity variables, and adaptive capacity variables by administrative district; And a weight storage unit for storing weights of the climate exposure parameter, the sensitivity variable, and the adaptive capacity variable.

Wherein the database unit includes a user DB in which user information is stored and a user item DB corresponding to the user information, the user item DB includes a user evaluation item DB and a user indicator database, .

The database unit may include a scenario DB stored in a time-series manner, and the scenario DB preferably includes at least a climate DB and an air quality DB.

Wherein the index DB includes an index DB to be constructed and an index DB that is matched with the index DB to be structured. When the contents of the index DB are not transmitted through the interface, It is preferable that the data be transmitted.

The database unit assigns a primitive data ID and an index ID to the primitive data and the index data, respectively, to match the primitive data with the primitive data ID and the index ID, and stores the index DB matching table .

Here, the raw data DB includes a raw data metadata table including a source data ID, a source data name, a unit, a provider name, and a source data information location, and the index DB matching table includes a source data metadata table It is preferable to match using a raw data ID.

For example, in the case of the basic municipality vulnerability evaluation, A is data constructed from actual data of a town / village / town, B is city / village, / Data constructed from the actual data of the district unit through the machining process including the GIS operation, C is the data constructed from the actual data of the city / province unit through the processing including the GIS operation, D is the data of the city / It can be a mixture of old data and state data.

The presentation unit may include a field selection unit for selecting a field to be searched; A variable type inquiry selection unit that selects one of the fields from the user and detects and displays the inquiry condition corresponding to the selected field from the database unit; And a vulnerability evaluation result display unit for transmitting the condition selected by the inquiry selecting unit to the vulnerability index calculating unit and for processing and displaying the result transmitted from the vulnerability index calculating unit.

The vulnerability index calculating unit calculates a vulnerability rating index for the stored administrative area by referring to the user DB of the logged-in user, , And the presentation unit processes and displays the result of the vulnerability index calculation unit.

The presentation unit may display a municipality selection unit that can be selected from a wide area municipality or a basic municipality, and may display a wide area vulnerability assessment result report or a basic vulnerability assessment result report by selecting one of a wide area municipality or a basic municipality from a user.

Here, if the administrative area to be searched in the wide area vulnerability assessment result report is selected, the presentation part may display a basic vulnerability assessment result report for the zone.

According to the present invention, it is possible to easily set a query condition without searching for complicated index items, and to provide a user-tailored query condition to generate a user-specific vulnerability index.

In addition, there is an advantage that information can be retrieved according to the user's requirements by utilizing the information of the matching table.

And it has the merit of being able to change the administrative area conveniently by linking the metropolitan municipality with the basic municipality.

1 is an exemplary view showing a screen configuration of a climate change vulnerability assessment system according to the related art;
FIG. 2 is a block diagram showing a configuration of a climate change vulnerability evaluation system according to the present invention; FIG.
FIG. 3 and FIG. 4 are exemplary views showing an example of a method of processing indicator data according to the present invention;
5 is an exemplary view showing an example of data reliability display;
FIGS. 6 and 7 are explanatory diagrams for explaining an index DB matching table; FIG.
8 is an exemplary diagram for explaining a scenario DB;
9 is an exemplary view for explaining a user defined DB;
10 is an exemplary view showing a field selection unit of the presentation unit, an inquiry selection unit, and a vulnerability evaluation result display unit;
11 is an exemplary view showing an example of a presentation part;
12 is an exemplary view showing an example of displaying a connection relation between the index data and the raw data;
13 is an exemplary view showing a vulnerability evaluation result report;
FIG. 14 is a diagram showing an example of a link between a wide area local vulnerability evaluation result and a basic local government vulnerability evaluation result.

The configuration and operation of the embodiment of the present invention will be described in detail with reference to the accompanying drawings.

2, the climate change vulnerability assessment system according to the present invention includes an interface unit 110, a database unit 200, a vulnerability index calculation unit 300, and a presentation unit 400, The database 200 includes a raw data DB 210, an indicator DB 240, an indicator DB matching table 230, a scenario DB 250, an evaluation item DB 260 and a user definition DB 270.

The interface unit 110 includes a wired or wireless communication module as a part for receiving original data from an external organization or transmitting result data to the outside.

The database unit 200 is a part in which raw data collected from an external organization or data separately input is stored.

The raw data DB 210 includes various statistical data and survey data prepared by an external organization and may include demographic data such as household statistics, basic statistics of forests, statistics on agriculture and forestry fisheries, maps of land cover,

The raw data DB 210 includes raw metadata 212 and raw data 214. The raw metadata is a part in which auxiliary data such as source data or standard data is stored. In the database unit, a raw data ID is generated and stored in the raw metadata.

The raw metadata includes at least one of a source name, a unit, a provider name, a provider name, a providing system name, a source data location, a source data unit, a source data unit, a source data type, Source URL, and so on.

The raw data refers to actual data such as the number of the population and the number of households according to the administrative district, and the raw data ID is set to the raw data and is connected to the raw metadata.

The index DB 240 includes index metadata 242 and index data 244. The index metadata is a portion in which data such as classification and description of the index data is stored. In the database, the index data ID is generated and stored in the index metadata.

The index metadata may include an indicator name, an indicator unit, an indicator group, an IPCC major classification, an IPCC sub classification, an indicator description, an indicator construction / processing method, and an indicator data construction classification.

The indicator data is data for numerically calculating climate change vulnerability by sector, such as health, disaster / disaster, agriculture, forestry, marine / fisheries, water management, ecosystem, industry / energy and monitoring / forecasting.

An example of the indicator data is as follows.

NO.

Indicator Item
Remarks
01

Number of health workers
02

Number of daily malaria deaths
03

Percentage of population covered by health insurance
04

Percent of basic living recipients
05

Percentage of elderly living alone (65 years old or older)
06

Cardiovascular deaths
07

Public health center personnel per population

These index data can be classified according to substitution variables to be described later. Specifically, they can be classified into index data on climate exposure, index data on sensitivity, and index data on adaptive capacity. In the present invention, 455 items of index data are constructed.

On the other hand, there are many materials in which primitive data are written in trial or municipality units, but there are many cases where detailed data are not available. In the present invention, in this case, referring to the administrative zone boundary information, the area and population ratio of the towns and villages are calculated, and the ratio of the urbanization area, agricultural area, forest area, industrial area, And generates index data based on this result.

For example, referring to FIG. 3, when the coniferous forest area is in the unit of the municipal district, if the coniferous forest area in Pocheon-si, Gyeonggi-do is 18,576 hectares, the database department calculates the forest ratios of the eup- . Using these results, the area of coniferous forests in Pocheon is multiplied by the calculated ratio of forests, and the area of coniferous forests is calculated.

Referring to FIG. 4, if the number of disabled persons in Dongdaemun-gu, Seoul is 16,584, the database unit calculates the population ratio based on the Dongdaemun-gu unit population data. Using this result, the number of people with disabilities in Dongdaemun-gu, Seoul, Korea is multiplied by the ratio of the population by age,

The index data thus calculated can be displayed by the presentation unit, and the data reliability is divided and displayed according to the machining method or the machining amount as shown in Fig. In other words, A is data constructed from actual data of towns / villages / towns, B is data constructed from actual data of towns / villages / towns through processing including GIS operations, C is actual city / Data constructed from data through processing including GIS operations, and D is classified into data in which raw data is a mixture of city / district / province data and city / province data.

The index DB includes an index DB to be constructed and an alternative index DB matched with the index DB. The construction target index DB is a portion in which the construction target indicator to be constructed as the indicator data is stored. The replacement indicator DB is a portion in which the replacement indicator is stored when there is no item stored in the construction target indicator DB or when data reliability is low. These target indicators are matched with alternative indicators, and one alternative indicator may be matched with a plurality of target indicators.

Field

Target index
Alternative index
Remarks
Agriculture

Korea Rural Community Corporation budget amount
Farm household annual income





Build an alternative indicator

Water management

Specific water source maximum dependence
Number of agricultural reservoirs compared to land area
Agricultural land disaster prevention area
Annual change in agricultural land area

Forest

Number of landslide management officials
Landslide hazard rating
Pest and Disaster Employment Personnel
Pine tree ration ratio
Marine fishery industry

Zhengzhou location
Within 1 km from the coast
ecosystem

Whether technology is used to detect climate change using insects
-
delete
Monitoring / Forecasting

-
Number of days in which the maximum temperature in April and October exceed 30 ℃
Add
Disaster / Disaster

Flood control ability of reservoir
Reservoir Reservoir
Term change

For example, referring to Table 2, the alternative index, which corresponds to the budget of the Korea Rural Community Corporation, is the annual income of farm households, and the database department searches the index data on the budget of the Korea Rural Community Corporation, If there is no indicator data, an alternative indicator that matches the budget of the Korea Rural Community is searched in the alternative indicator DB. Since the replacement index, which is matched to the budget of the Korea Rural Community Corporation, is the annual income of the farm household, the database department replaces the data on the farm household annual income with the index data.

In addition, when the target indicator is the number of landslide management officials and the indicator data is set to the data reliability C or more, the database department uses only the data with the data reliability of C or higher among the indicator data on the number of landslide management officials in each administrative district, If there is no indicator data on the number of management officials or the data reliability is D, the alternative indicator is searched.

As the alternative indicator of the number of landslide management officials is the landslide risk level, the database department will replace the landslide risk level with the land surface data if there is no indicator data on the number of landslide management officials or if the data reliability is D.

The index DB matching table 230 is a table that defines the relationship between the raw data and the index data as shown in FIG. 6 and FIG. In the database section, the indicator DB ID generated in the raw data metadata and the indicator database ID generated in the indicator metadata are used to match the indicator DB including the matching serial number, the raw material ID, the data classification (field) The table is saved. By using this index DB matching table, it is possible to know where specific raw data has been used, and on the contrary, it can trace back to where the specific indicator data originated.

In this manner, an index / scenario DB matching table that defines the relationship between the indicator data and the scenario data, and a scenario DB matching table that defines the relationship between the raw data and the scenario data can be provided.

The scenario DB 250 is predictive data stored in a time-series manner, and is data obtained through a scientific method. The scenario DB includes a climate DB, which is weather forecast data, and an air quality database, which is air quality prediction data.

For example, the above-mentioned scenario DB includes day, month data (average temperature, maximum temperature, minimum temperature and precipitation) of the detailed (1 km) scenarios (RCP 4.5 and 8.5) Data constructed with monthly data for the administrative districts (towns, villages, and villages) for the period from 2020 to 2030, 2030 to 2040, and 2050 to 2060 ,

Monthly data (snowfall, radiation, temperature and humidity) of day, month data (wind speed, relative humidity) and application information (12.5km) scenario (RCP 4.5 and 8.5) of the Korean peninsula data (12.5 km) (Eup, myeon, and dong) based on the climate exposure index field index DB based on the data (index, pressure, evapotranspiration, cumulative temperature, sensation temperature, etc.).

Such a scenario DB can be constructed as shown in FIG. 8 so that scenarios according to administrative districts and periods can be inquired.

The scenario DB 250 includes scenario metadata 252 and scenario data 254. The scenario metadata is a portion in which data such as a description or description of scenario data is stored. In the database unit, a scenario data ID is generated and stored in the scenario metadata.

The scenario metadata may include a scenario name, a scenario unit, a scenario group, an IPCC major classification, an IPCC sub classification, a scenario description, a scenario construction / processing method, and a scenario data construction classification.

The evaluation item DB 260 is a part in which a climate change vulnerability evaluation item is stored, and includes an administrative storage section, an item section, a substitution variable storage section, and a weight storage section.

In the administrative zone storage unit, boundary data of the administrative zone is stored, and information such as the area and location of each administrative zone can be stored.

In the item section, vulnerability fields and detailed items are stored as shown in Table 3.

Vulnerability field

Details








health
Infectious diseases caused by insects and rodents
Health vulnerability due to other air pollutants
Health vulnerability due to fine dust
Health vulnerability to waterborne mediated diseases
Health vulnerability due to increased ozone concentration
Health vulnerability by typhoon
Health vulnerability due to heat
Health vulnerability caused by cold waves
Health vulnerability due to flood


Disaster / Disaster
Infrastructure vulnerability to heavy snowfall
Infrastructure vulnerability to heat
Infrastructure vulnerability to sea level rise
Infrastructure vulnerability to floods



Agriculture
Vulnerability of livestock productivity
Vulnerability to agricultural soil erosion
Rice plant productivity vulnerability
Vulnerability of apple productivity
Vulnerability of cultivation, collapse of breeding facility





Forest
Vulnerability of forest vegetation due to drought
Vulnerability of pine trees due to pests
Vulnerability of forest productivity
Vulnerability to wildfires
Vulnerability of forests due to landslides
Vulnerability of pine and pine mushroom
Landslide vulnerability due to heavy rainfall
Marine / Fishery
Vulnerability of fisheries (aquaculture) due to changes in water temperature

Water management
Vulnerability to water quality and water ecology
Vulnerability to completion
Dimensional vulnerability

ecosystem
Insect Vulnerability
Vulnerability of National Parks
Softwood vulnerability

The substitution variable storage unit stores climate exposure variables, sensitivity variables, and adaptive capacity variables for each administrative area. Substitution variables are aggregated indicator data for calculating vulnerability to climate change for each subdivision and are divided into variables related to climate exposure, sensitivity, and adaptive capacity as shown in Table 4.

Details

Substitution variable
Variable list











By typhoon
Health vulnerability





Climate exposure
Maximum daily precipitation (mm)
Number of times of day when precipitation is 80mm or more (times)
Number of days when the maximum wind speed is 14 m / s or more (times)





responsiveness
Population under 14 years of age (persons)
Population over 65 years of age (persons)
Percentage of basic living recipients (%)
Percentage of elderly people aged 65 and over (%)
Number of persons with water-related diseases (persons)
10m or less low-lying furniture (furniture)
Less than 10m Area of lowland (ha)




Adaptability
GRDP health and social welfare services (KRW million)
Percentage of population covered by health insurance (%)
Population of public health center (population / 10,000)
Number of Emergency Medical Institutions per Population (100,000)
Financial independence (%)
Gross Domestic Product (GRDP) (million won)

The weight storage unit stores weights for the climate exposure variable, the sensitivity variable, and the adaptive capacity variable. These weights are used in the vulnerability index calculation section to calculate the vulnerability rating index.

The user-defined DB 270 includes a user DB and a user item DB. The user DB includes a user ID, a password, an area, an institution name, and the like. The user item DB includes a user indicator DB, a user scenario DB, a user evaluation item DB, and the like.

The user index DB, the user scenario DB, the user evaluation item DB, and the user weight are all data specific to a specific user.

The user index DB includes user index metadata and user index data, and the database unit assigns a user index ID to the user index metadata to match the user index data.

The user scenario DB includes user scenario metadata and user scenario data, and the database unit assigns a user scenario ID to the user scenario metadata to match the user scenario data.

The user evaluation item DB stores detailed items and user weights generated by a specific user.

The presentation unit 400 includes an inquiry unit for receiving input from a user and displaying a result, and a result display unit for displaying an inquiry result.

The vulnerability index calculating unit 300 calculates a vulnerability evaluation index using the index DB and the evaluation item DB based on the conditions input through the inquiry unit, and transmits the result to the presentation unit.

That is, the vulnerability index calculating unit calculates the vulnerability index using the climate exposure parameter, the sensitivity variable, and the adaptability variable and the weight. At this time, the vulnerability index is calculated as follows.

Vulnerability index = α × Climate exposure variable + β × Sensitivity variable - γ × Adaptive capacity variable

(α, β, γ are weights)

Referring to FIG. 10, the presentation unit includes a field selection unit, an inquiry selection unit, and a vulnerability evaluation result display unit.

The field selector is configured to select one of health, disaster / disaster, agriculture, forest, marine / fisheries, water management, and ecosystem.

In the present embodiment, the inquiry selecting unit is provided with a variable inquiry selecting unit. That is, when one of the field selection units is selected, the variable type inquiry selection unit refers to the evaluation item DB of the database unit, detects only the evaluation items corresponding to the selected field, and generates a corresponding evaluation item list. Then, the evaluation item list is displayed on the selection button. Then, the user can press the selection button to view the evaluation item corresponding to the selected field, and select one of them.

In addition, if the administrative district is selected as either a "city / county / district" condition or a "town / village / province" condition,

When such a query condition is set, the vulnerability index calculation unit calculates the vulnerability index according to the query conditions, and transmits the result to the presentation unit. Then, the presentation unit processes the results calculated by the vulnerability index calculation unit into various forms such as a map, a graph, and a table, and displays the result on the vulnerability result display unit.

On the other hand, when a specific user logs in by inputting an ID and a password, the vulnerability index calculation unit refers to the user DB and calculates a vulnerability evaluation index for the administrative area stored in the user DB, and the presentation unit processes the result of the vulnerability index calculation unit And displays it on the vulnerability evaluation result display section.

In addition, the presentation unit displays a municipality selection unit that can select a wide area municipality or a basic municipality on a login screen. If the municipality selection unit selects the wide area local government, the wide area vulnerability result report such as CCGIS is displayed. If the basic local government is selected, the basic vulnerability evaluation result report such as LCCGIS is displayed.

Then, when the administrative area to be inquired is selected from the wide-area vulnerability assessment result report, the basic vulnerability evaluation result report for the selected administrative area is displayed.

In the conventional CCGIS and LCCGIS, only the results of one selected administrative district are provided, which makes it difficult to compare with other administrative districts. In the present embodiment, as shown in FIG. 11, the presentation unit generates and displays the vulnerability index and various substitution variables for various administrative areas as a table. In addition, the user can set the range of the administrative zone, and can arrange in a specific order such as alphabetical order or ascending order, descending order, and the like.

The presentation unit displays a radial graph on the basis of the climate exposure parameter, the sensitivity variable, and the adaptive capacity parameter of the corresponding administrative district when the "radial graph view" is selected for each administrative district.

In the prior art, there is no linkage between the index data and the data linking to the source data, so that there is a fear of additional duplication of data and the data reliability can not be grasped. However, in this embodiment, the indicator data used in the vulnerability evaluation result report window The presentation unit displays a link to display a detailed view of the index data. Also, if you select specific raw data from the detailed view screen, you can link and display the raw data detail view screen.

In the present embodiment, the presentation unit displays a vulnerability evaluation result report as shown in FIG. 13 so that the vulnerability evaluation inquiry result information can be seen at a glance. The vulnerability evaluation result report uses vertical scrolling to calculate the vulnerability evaluation result value and the result value And the indicator data used at the same time.

In the prior art, the wide-area vulnerability assessment and the basic vulnerability assessment have been performed in an independent system. However, in the present invention, when the administrative area to be inquired is selected in the wide-area vulnerability assessment result report as shown in FIG. 14, The result report is linked and displayed.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, and variations and modifications may be made without departing from the scope of the invention. It will be understood that the present invention can be changed.

110: interface unit 210: raw data DB
230: index DB matching table 240: index DB
250: scenario DB 260: evaluation item DB
270: user-defined DB 300: vulnerability index calculating section
400: Presentation section

Claims (12)

An interface unit for transmitting / receiving data to / from an external raw data providing unit;
A raw data DB for storing raw data provided through the interface unit,
An indicator DB for storing the processed indicator data based on the original data DB; And
A database part having an evaluation item DB storing a climate change vulnerability evaluation item;
A presentation unit having a query unit for receiving input from a user and a result display unit for displaying a query result;
And a vulnerability index calculating unit for calculating a climate change vulnerability evaluation index using the index DB and the evaluation item DB based on the conditions input through the inquiry unit and transmitting the result to the presentation unit,
The database unit assigns a primitive data ID and an index ID to the primitive data and the index data, respectively, to match the primitive data with the primitive data ID and the index ID, and stores the index DB matching table / RTI >
The raw data DB includes a raw data metadata table including a source data ID, a source data name, a unit, a provider name, and a source data location,
The index DB matching table is matched using a raw data ID generated in the raw data metadata table,
The index data is divided into data reliability of A to D according to the amount of data processed,
A is data constructed from real data of town / village /
B is the data constructed from actual data in city / county / district through processing including GIS operation,
C is the data constructed from the actual data of the city / province unit through the processing including the GIS operation,
D is the data in which the source data is a mixture of city / province / old data and city / province data. The method according to claim 1,
In the evaluation item DB,
Administrative district storage for storing boundary data of administrative districts;
An item section for storing the vulnerability field and the detail item;
A substitution variable storage for storing climate exposure variables, sensitivity variables, and adaptive capacity variables by administrative district;
And a weight storage unit for storing weights of the climate exposure variable, the sensitivity variable, and the adaptation ability variable. 3. The method of claim 2,
Wherein the database unit includes a user DB storing user information and a user item DB corresponding to the user information,
Wherein the user item DB includes a user rating item DB and a user indicator database, and the user rating item DB includes a user weight value. The method according to claim 1,
Wherein the database unit includes a scenario database stored in a time series manner,
Wherein the scenario DB includes at least a climate DB and an air quality DB. The method according to claim 1,
Wherein the index DB includes an index DB to be constructed and an index DB that is matched with the index DB to be structured. When the contents of the index DB are not transmitted through the interface, And the data is received from the system. 6. The method of claim 5,
Wherein the database unit uses only the data of the indicator data on the construction target indicator as the indicator data that is more than the predetermined data reliability and the data that is less than the predetermined data reliability as the replacement indicator. delete delete The method according to claim 1,
The presentation unit may include a field selection unit for selecting a field to be searched;
A variable type inquiry selection unit that selects one of the fields from the user and detects and displays the inquiry condition corresponding to the selected field from the database unit;
And a vulnerability assessment result display unit for transmitting a condition selected by the inquiry selecting unit to the vulnerability index calculating unit and processing and displaying the result transmitted from the vulnerability index calculating unit. 10. The method of claim 9,
Wherein the database unit includes a user DB storing user information and a user item DB corresponding to the user information,
The vulnerability index calculation unit refers to the user DB of the logged-in user to calculate the vulnerability rating index for the stored administrative zone,
Wherein the presentation unit processes and displays the result of the vulnerability index calculation unit. 11. The method of claim 10,
Wherein the presentation unit displays a municipality selection unit that can be selected from a wide area municipality or a basic municipality and selects either the wide area municipality or the basic municipality from the user to display a wide area vulnerability assessment result report or a basic vulnerability evaluation result report Climate Change Vulnerability Assessment System. 12. The method of claim 11,
Wherein the presentation unit displays a basic vulnerability assessment result report for the zone when the administrative zone to be searched is selected in the wide-area vulnerability assessment result report.

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