CN109146223A - Land Use Transition managing and control system - Google Patents
Land Use Transition managing and control system Download PDFInfo
- Publication number
- CN109146223A CN109146223A CN201810614150.XA CN201810614150A CN109146223A CN 109146223 A CN109146223 A CN 109146223A CN 201810614150 A CN201810614150 A CN 201810614150A CN 109146223 A CN109146223 A CN 109146223A
- Authority
- CN
- China
- Prior art keywords
- land use
- index
- module
- risk
- obstacle
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 230000007704 transition Effects 0.000 title claims abstract description 42
- 238000012502 risk assessment Methods 0.000 claims abstract description 48
- 238000011156 evaluation Methods 0.000 claims abstract description 36
- 238000000034 method Methods 0.000 claims description 27
- 230000008569 process Effects 0.000 claims description 24
- 239000011159 matrix material Substances 0.000 claims description 15
- 238000013459 approach Methods 0.000 claims description 10
- 238000010606 normalization Methods 0.000 claims description 8
- 239000002689 soil Substances 0.000 claims description 8
- 230000005484 gravity Effects 0.000 claims description 4
- NAWXUBYGYWOOIX-SFHVURJKSA-N (2s)-2-[[4-[2-(2,4-diaminoquinazolin-6-yl)ethyl]benzoyl]amino]-4-methylidenepentanedioic acid Chemical compound C1=CC2=NC(N)=NC(N)=C2C=C1CCC1=CC=C(C(=O)N[C@@H](CC(=C)C(O)=O)C(O)=O)C=C1 NAWXUBYGYWOOIX-SFHVURJKSA-N 0.000 claims description 3
- 230000000007 visual effect Effects 0.000 abstract description 4
- 238000000605 extraction Methods 0.000 abstract 1
- 230000000694 effects Effects 0.000 description 4
- 238000012546 transfer Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 230000004044 response Effects 0.000 description 3
- 230000004888 barrier function Effects 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000009313 farming Methods 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 238000006073 displacement reaction Methods 0.000 description 1
- 231100000290 environmental risk assessment Toxicity 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 239000010842 industrial wastewater Substances 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000001314 paroxysmal effect Effects 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/16—Real estate
- G06Q50/165—Land development
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Tourism & Hospitality (AREA)
- Entrepreneurship & Innovation (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Theoretical Computer Science (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Physics & Mathematics (AREA)
- Quality & Reliability (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a kind of Land Use Transition managing and control systems comprising: risk evaluation module is used to determine the land use risk class in certain region several years according to determining risk assessment index;Risks and assumptions identification module is used to calculate the risk assessment index and identifies to the obstacle and risks and assumptions of land use;Document management module is used to store and manage land use associated documents;Warning module is used for according to the risk assessment index extraction keyword, and is transferred the land use associated documents including the keyword from the document management module according to keyword and shown.It is by the determination to Land Use Transition risk class come visual representation land use degree of risk, and the impact factor of Land Use Transition risk class can be found out, determine that single or multiple index for the obstacle of land use, thus provides foundation for effective, scientific control during Land Use Transition.
Description
Technical field
The present invention relates to data processing fields, and in particular to a kind of Land Use Transition managing and control system.
Background technique
Land Use Transition, i.e., under the driving of socioeconomic changes and innovation, a certain region is within one period by one
Kind land using effect is changed into the process of another land using effect.Land Use Transition process may bring economy, society
It can be with the risk of ecological environment etc..For having uncertain, paroxysmal risk, Land Use Transition process work is studied
The judgment criteria and index of different risk classifications are constituted in energy, and building faces the risks and assumptions recognition methods of Land Use Transition,
Study the policy responses mechanism and emergency preplan of different risk classifications.
However, in the prior art, not yet occurring with Land Use Transition being guiding to the economy in region, society, ecology
Environmental risk assessment and for the policy responses mechanism of different risk classifications and the control integrated information platform of emergency preplan, can not
It fast and effeciently provides data for Land Use Transition Study on Risk Assessment to support, so as to cause the influence to Land Use Transition
Efficiency is unfavorable for the progress of the risk assessment work of Land Use Transition.
Summary of the invention
In view of the foregoing drawbacks, the present invention provides a kind of Land Use Transition managing and control systems, by turning to land use
The determination of type risk class carrys out visual representation land use degree of risk, determines single or multiple index for the barrier of land use
Degree of hindering, and the impact factor for influencing Land Use Transition risk class can be found out, it is thus having during Land Use Transition
Effect, science control provide foundation.
To achieve the above object, the invention provides the following technical scheme:
Provide a kind of Land Use Transition managing and control system comprising:
Risk evaluation module is used to be determined according to the Risk Assessment Index System of division in certain region several years
Land use risk class;
Risks and assumptions identification module connects the risk evaluation module, for calculating the risk assessment index to soil
The obstacle that ground utilizes, and determine risks and assumptions;
Document management module is used to store and manage land use associated documents;
Warning module connects the risk evaluation module and document management module, for according to the risks and assumptions
Keyword is extracted, and transfers the related text of the land use including the keyword from the document management module according to keyword
Part is simultaneously shown.
Preferably, the risk evaluation module includes:
Data normalization module is used to be standardized the risk assessment achievement data, and according to standard
Change processing result and constructs decision matrix;
Index weights determining module is used to determine the index weights of the risk assessment index;
Standard Process constructs module, connects the data normalization module and index weights determining module, is used for
According to the decision matrix and the Standard Process of index weights building weighting;
Computing module connects the Standard Process and constructs module, for calculating the Standard Process of the weighting
The positive distance of ideal solution and minus ideal result, different year evaluation vector to positive ideal solution and distance and difference to minus ideal result
The approach degree of time evaluation vector and positive ideal solution;
And judgment module, the computing module is connected, for according to different year evaluation vector and positive ideal solution
Approach degree judges the land use risk class in certain region several years.
Preferably, the data normalization module is following marks the risk assessment achievement data according to formula (1)
Quasi-ization processing, and decision matrix is constructed according to standardization structure;
Bij=(Aij-Amin)/(Amax-Amin) (1);
In formula (1), AijFor the actual value of i indexs of jth year;AminIt is minimum value;AmaxIt is maximum value;BijFor decision
Matrix.
Preferably, the index weights determining module determines the risk assessment index according to following formula (2)-(4)
Index weights;
Wherein, i --- i-th of index value;J --- jth year;N --- index number;T --- the time;rij--- jth year i-th
The occurrence of a index;pij--- jth year, i-th of index value accounted for the specific gravity of the index total value;ei--- the entropy of i-th of index
Value;wi--- the weight of i-th of index.
Preferably, the Standard Process that the Standard Process building module is weighted according to following formula (5) building;
Wherein, B is decision matrix;W is index weights;V is the Standard Process of weighting.
Preferably, the computing module calculates the correct principle of the Standard Process of the weighting according to following formula (6)-(7)
Think solution and minus ideal result;
Wherein, V+Be positive ideal solution, V-For minus ideal result;
Different year evaluation vector is calculated separately to the distance of positive ideal solution according to following formula (8)-(9) and ideal to bearing
The distance of solution;
Wherein, n is index number;T is the time;VijFor the standardization square element of weighting;
And the approach degree of different year evaluation vector and positive ideal solution is calculated according to following formula (10);
Wherein, t is the time;CjFor approach degree;For jth year evaluation vector to positive ideal solution distance;For jth
Distance of the evaluation vector in year to minus ideal result.
Preferably, the risks and assumptions identification module includes: index obstacle computing module, is used for according to following formula
(11)-(13) obstacle of the risk assessment index for land use of single rule layer in the Risk Assessment Index System is calculated
Degree;
Fi=Pij·Wi(11);
Ii=1-Xi(12);
Wherein, FiFor factor contributions degree;IiFor index irrelevance;XiFor the standardized value of indicator layer index;OiIt is i-th
Obstacle of the index to land use;
Resultant fault degree computing module, be used to be calculated according to following formula (14) certain rule layer risk assessment index for
The obstacle of land use;
Uj=∑ Oij(14);
Wherein, OijIt is each individual event risk assessment index for the obstacle of land use;
Risks and assumptions determining module connects the index obstacle computing module, for each under same destination layer
Each risk assessment index in indicator layer carries out sequence from big to small, and the barrier after sequence for the obstacle of land use
In degree of hindering, determine that the corresponding risk assessment index of top n obstacle is risks and assumptions;
Risks and assumptions display module connects the risks and assumptions determining module, for showing in certain time region, respectively
Risk assessment index in the corresponding rule layer of destination layer for the obstacle of land use calculated result, and described in showing
Risks and assumptions data.
Preferably, the Land Use Transition managing and control system further include: management map module is used to manage in database
The vector data and raster data of storage.
Preferably, the Land Use Transition managing and control system further include: user management module is used to repair for user
Change password, addition user, user query, logging off users, activates user, resets one or more operations in password.
Preferably, the Land Use Transition managing and control system further include: present status of land utilization module is used to store and open up
Show the land use data in certain region several years.
Compared with prior art, the beneficial effects of the present invention are: Land Use Transition managing and control system of the invention by pair
The determination of Land Use Transition risk class carrys out visual representation land use degree of risk, and can find out Land Use Transition wind
The impact factor of dangerous grade determines that single or multiple index is thus the Land Use Transition phase for the obstacle of land use
Between effective, scientific control provide foundation.
Detailed description of the invention
Fig. 1 is Land Use Transition managing and control system overall structure diagram in embodiment one;
Fig. 2 is that present status of land utilization shows interface in embodiment one;
Fig. 3 is that land use transfer matrix result shows interface in embodiment one;
Fig. 4 is one risk evaluation module schematic diagram of embodiment;
Fig. 5 is that one risk evaluation index system of embodiment shows interface;
Fig. 6 is that one risk of embodiment assesses basic data displaying interface;
Fig. 7 is that one risk evaluation index weight calculation result of embodiment shows interface;
Fig. 8 is that one risk approach degree calculated result of embodiment shows interface;
Fig. 9 a is that land use risk class polar plot shows interface in embodiment one;
Fig. 9 b is that land use risk class curve graph shows interface in embodiment one;
Figure 10 is one risk factor identification module schematic diagram of embodiment;
Figure 11 is that one risk obstacle calculated result of embodiment shows interface;
Figure 12 is that a certain destination layer corresponds to rule layer obstacle displaying interface in embodiment one;
Figure 13 is the displaying interface of risks and assumptions recognition result corresponding with certain region class risk in embodiment one.
Specific embodiment
For a clearer understanding of the technical characteristics, objects and effects of the present invention, now control attached drawing is described in detail
A specific embodiment of the invention.
Embodiment one:
Fig. 1 shows the Land Use Transition managing and control system in the present embodiment comprising:
Present status of land utilization module 1, as shown in Fig. 2, it is used to store and show the land use in certain region several years
As-is data;For example, as shown in figure 3, between it is used to store and shows 1990-1995, the soil of middle and lower reach of Yangtze River economy-zone
Utilize transfer matrix;
Risk evaluation module 2 is used to be determined according to the Risk Assessment Index System of division in certain region several years
Land use risk class;In the present embodiment, the Risk Assessment Index System is as shown in table 1 comprising " social risk ",
" ecological risk " and " economic risk " three destination layers have several rule layers under each destination layer, have under each rule layer
There are several indicator layers, includes several risk assessment indexs in each indicator layer, such as: income ratio, farming pressure;
1 Risk Assessment Index System of table divides
Risks and assumptions identification module 3 connects the risk evaluation module 2, for calculating the risk assessment index pair
The obstacle of land use, and determine risks and assumptions;
Document management module 4 is used to store and manage land use associated documents;Preferably, the land use phase
Closing file includes law, regulation, department regulation, regulatory documents and other texts related with land use etc.;The pipe
Reason includes being added, deleting to land use associated documents, updating, inquiring;
Warning module 5 connects the risk evaluation module 3 and document management module 4, for according to the risk because
Son extracts keyword, and transfers the land use correlation including the keyword from the document management module according to keyword
File is simultaneously shown.
Specifically, as shown in figure 4, the risk evaluation module 2 includes:
Data normalization module 21 is used for according to formula (1) to risk assessment index (as shown in Figure 5) data
(basic data as shown in FIG. 6) is standardized, and to guarantee data consistency, evaluation index is real in apparent index weights
The location of actual value, and decision matrix is constructed according to standardization result;
Bij=(Aij-Amin)/(Amax-Amin) (1);
In formula (1), AijFor the actual value of i indexs of jth year;AminIt is minimum value;AmaxIt is maximum value;BijFor decision
Matrix;
Index weights determining module 22 is used to determine that the risk as shown in Figure 7 is commented according to following formula (2)-(4)
Estimate the index weights of index;
Wherein, i --- i-th of index value;J --- jth year;N --- index number;T --- the time;rij--- jth year i-th
The occurrence of a index;pij--- jth year, i-th of index value accounted for the specific gravity of the index total value;ei--- the entropy of i-th of index
Value;wi--- the weight of i-th of index;
Standard Process constructs module 23, connects the data normalization module 21 and index weights determining module
22, for the Standard Process according to following formula (5) building weighting;
Wherein, B is decision matrix;W is index weights;V is the Standard Process of weighting;
Computing module 24 connects the Standard Process and constructs module 23, for being calculated according to following formula (6)-(7)
The positive ideal solution and minus ideal result of the Standard Process of the weighting;
Wherein, V+Be positive ideal solution, V-For minus ideal result;
Different year evaluation vector is calculated separately to the distance of positive ideal solution according to following formula (8)-(9) and ideal to bearing
The distance of solution;
Wherein, n is index number;T is the time;VijFor the standardization square element of weighting;
And according to following formula (10) calculate different year evaluation vector as shown in Figure 8 and positive ideal solution close to
Degree;
Wherein, t is the time;CjFor approach degree;For jth year evaluation vector to positive ideal solution distance;DjIt is jth
Distance of the evaluation vector in year to minus ideal result;
And judgment module 25, the computing module 24 is connected, for according to different year evaluation vector and positive ideal
The approach degree of solution judges the land use risk class in certain region several years;Specifically, as shown in table 2, CjIt is bigger, it indicates
Jth year, land use risk was smaller, and by CjIt is divided into 5 classification standards, land use degree of risk is indicated with this;This
Outside, as illustrated in fig. 9, the land use risk class can be also unfolded by way of polar plot, thus can be more intuitive
The land use risk class in certain region (such as Jiangxi Province and Hubei Province) is visualized, further, in Fig. 9 a
Shown in polar plot, click corresponding region, such as Wuhan City, the land use wind of Wuhan City as shown in figure 9b can be popped up
Thus dangerous class curve figure can realize the free switching between two kinds of Different Results forms of expression.
2 land use risk class of table divides
It can more comprehensively reflect the dynamic of land use various aspects from two indicator layer, rule layer levels as a result,
Variation, determines land use risk class.
During evaluation region land resources science is horizontal, land use risk assessment will not only be evaluated it,
It also needs to find out the correlation factor for influencing soil risk class, in order to targetedly be managed to soil risk, institute
With the present embodiment also does further diagnosis to land use risks and assumptions using risks and assumptions identification module 3.Specific method is to draw
Enter factor contributions degree Fi(weight of the single factor test to general objective), index irrelevance Ii(single index factors assessment value with 100% it
Difference), obstacle (Oi、Uj) (respectively indicating single index and rule layer index to the influence degree of land use risk) 3 indexs
Carry out analyzing and diagnosing, specifically, as shown in figs. 10-11, the risks and assumptions identification module 3 (namely in Figure 11 " risk is commented
Valence ") include:
Index obstacle computing module 31 is used to calculate the risk assessment index according to following formula (11)-(13)
Obstacle of the risk assessment index of single rule layer for land use in system, wherein the risk of the single rule layer is commented
Estimate the sum of the obstacle that index is equal to the obstacle of land use each risk assessment index in the indicator layer under the rule layer;
As the rule layer " pressure " of " social risk " subordinate is equal to the indicator layer being somebody's turn to do under " pressure " " income for the obstacle of land use
Than ", " farming pressure ", " nonagricultural population's specific gravity " and " grain broadcasts ratio " be respectively for the summation of land use obstacle;
Fi=Pij·Wi(11);
Ii=1-Xi(12);
Wherein, FiFor factor contributions degree;IiFor index irrelevance;XiFor the standardized value of indicator layer index;OiIt is i-th
Obstacle of the index to land use;
Resultant fault degree computing module 32 is used to calculate multiple criteria layer as shown in figure 11 according to following formula (14)
For risk assessment index for the obstacle of land use, the obstacle can the exhibition in the form of line chart and/or clear data table
It is existing;
Uj=∑ Oij(14);
Wherein, OijIt is each individual event risk assessment index for the obstacle of land use;Such as click in Figure 11 " risk is commented
Valence " then selects " obstacle calculating " (namely above-mentioned resultant fault degree computing module 32) under it, reselection region, such as
Wuhan City can calculate under different year, such as nineteen ninety, nineteen ninety-five etc., multiple criteria layer (such as pressure, assessment and response)
Obstacle of the risk assessment index for land use;
Risks and assumptions determining module 33 connects the index obstacle computing module 31, under same destination layer
Each indicator layer in each risk assessment index sequence from big to small is carried out for the obstacle of land use, and after sequence
Obstacle in, determine that top n (such as first five) corresponding risk assessment index of obstacle is risks and assumptions;
Risks and assumptions display module 33 connects the risks and assumptions determining module 33, for showing certain time region
In, the calculated result of risk assessment index in the corresponding rule layer of each destination layer for the obstacle of land use, Yi Jizhan
Show the risks and assumptions data;As shown in figure 12, " risks and assumptions " (i.e. the risks and assumptions display module 33) in interface is clicked, so
Selection target layer (such as " economy ", i.e. economic risk in table 2) and selection time (nineteen ninety), Ji Kexian in " type " afterwards
Show nineteen ninety, in " economy " this destination layer with the overall condition of each rule layer obstacle in Hubei Province, Hunan Province and Jiangxi Province, into
One step, as shown in figure 13, a certain specific region is clicked, such as Wuhan City is then particularly shown out the tool of the risks and assumptions filtered out
Body situation, as risk assessment pointer type and its corresponding index obstacle, such as industrial wastewater displacement (0.1745), cultivation refer to
Number (0.1223), built-up areas afforestation coverage rate (0.1029) etc., thus can pass through different form (line chart, table and column
Figure) intuitive risks and assumptions for showing and influencing soil risk class.
In addition, as shown in Figure 1, the Land Use Transition managing and control system further include: management map module 6 is used for pipe
The vector data and raster data that store in reason database, wherein map vector be divided into basic map, thematic maps with it is customized
Map;
User management module 7, the password that is used to modify for user, user query, logging off users, swash addition user
It applies flexibly family, reset one or more operations in password.
In conclusion the present invention is directed to multi-level requirement of the region social economy Transformation Development to Land Use Transition, lead to
It crosses and visual representation land use degree of risk is come to the determination of Land Use Transition risk class, and land use can be found out and turned
The impact factor of type risk class determines that single or multiple index for the obstacle of land use, thus turns for land use
Effective, scientific control during type provides foundation.
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, it is all in spirit of the invention and
Within principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of Land Use Transition managing and control system characterized by comprising
Risk evaluation module is used to determine the soil in certain region several years according to the Risk Assessment Index System of division
Utilize risk class;
Risks and assumptions identification module connects the risk evaluation module, for calculating the risk assessment index to soil benefit
Obstacle, and determine risks and assumptions;
Document management module is used to store and manage land use associated documents;
Warning module connects the risk evaluation module and document management module, for being extracted according to the risks and assumptions
Keyword, and the land use associated documents including the keyword are transferred simultaneously from the document management module according to keyword
It shows.
2. Land Use Transition managing and control system as described in claim 1, which is characterized in that the risk evaluation module includes:
Data normalization module is used to be standardized the risk assessment achievement data, and according to standardization at
It manages result and constructs decision matrix;
Index weights determining module is used to determine the index weights of the risk assessment index;
Standard Process constructs module, connects the data normalization module and index weights determining module, is used for basis
The decision matrix and the Standard Process of index weights building weighting;
Computing module connects the Standard Process and constructs module, the correct principle of the Standard Process for calculating the weighting
Think solution and the distance of minus ideal result, different year evaluation vector to positive ideal solution and distance and different year to minus ideal result
The approach degree of evaluation vector and positive ideal solution;
And judgment module, connect the computing module, for according to different year evaluation vector and positive ideal solution close to
Degree judges the land use risk class in certain region several years.
3. Land Use Transition managing and control system as claimed in claim 2, which is characterized in that the data normalization module is following
The risk assessment achievement data is standardized according to formula (1), and decision is constructed according to standardization structure
Matrix;
Bij=(Aij-Amin)/(Amax-Amin) (1);
In formula (1), AijFor the actual value of i indexs of jth year;AminIt is minimum value;AmaxIt is maximum value;BijFor decision matrix.
4. Land Use Transition managing and control system as claimed in claim 3, which is characterized in that the index weights determining module root
The index weights of the risk assessment index are determined according to following formula (2)-(4);
Wherein, i --- i-th of index value;J --- jth year;N --- index number;T --- the time;rij--- i-th of jth year finger
Target occurrence;pij--- jth year, i-th of index value accounted for the specific gravity of the index total value;ei--- the entropy of i-th of index;
wi--- the weight of i-th of index.
5. Land Use Transition managing and control system as claimed in claim 4, which is characterized in that the Standard Process constructs module
According to the Standard Process of following formula (5) building weighting;
Wherein, B is decision matrix;W is index weights;V is the Standard Process of weighting.
6. Land Use Transition managing and control system as claimed in claim 5, which is characterized in that the computing module is according to following public affairs
Formula (6)-(7) calculate the positive ideal solution and minus ideal result of the Standard Process of the weighting;
Wherein, V+Be positive ideal solution, V-For minus ideal result;
Different year evaluation vector is calculated separately to the distance of positive ideal solution according to following formula (8)-(9) and arrives minus ideal result
Distance;
Wherein, n is index number;T is the time;VijFor the standardization square element of weighting;
And the approach degree of different year evaluation vector and positive ideal solution is calculated according to following formula (10);
Wherein, t is the time;CjFor approach degree;For jth year evaluation vector to positive ideal solution distance;For commenting for jth year
Distance of the valence vector to minus ideal result.
7. Land Use Transition managing and control system as claimed in claim 4, which is characterized in that the risks and assumptions identification module packet
It includes:
Index obstacle computing module is used to be calculated in the Risk Assessment Index System according to following formula (11)-(13)
Obstacle of the risk assessment index of single rule layer for land use;
Fi=PijWi (11);
Ii=1-Xi (12);
Wherein, FiFor factor contributions degree;IiFor index irrelevance;XiFor the standardized value of indicator layer index;OiFor i-th of index pair
The obstacle of land use;
Resultant fault degree computing module is used to calculate certain rule layer risk assessment index according to following formula (14) for soil
The obstacle utilized;
Uj=∑ Oij(14);
Wherein, OijIt is each individual event risk assessment index for the obstacle of land use;
Risks and assumptions determining module connects the index obstacle computing module, for each index under same destination layer
Each risk assessment index in layer carries out sequence from big to small, and the obstacle after sequence for the obstacle of land use
In, determine that the corresponding risk assessment index of top n obstacle is risks and assumptions;
Risks and assumptions display module connects the risks and assumptions determining module, for showing in certain time region, each target
Risk assessment index in the corresponding rule layer of layer and shows the risk for the calculated result of the obstacle of land use
Factor data.
8. such as the described in any item Land Use Transition managing and control systems of claim 1-7, which is characterized in that the land use turns
Type managing and control system further include: management map module is used to manage the vector data and raster data stored in database.
9. such as the described in any item Land Use Transition managing and control systems of claim 1-7, which is characterized in that the land use turns
Type managing and control system further include: user management module, the password that is used to modify for user, addition user, user query, cancellation
User activates user, resets one or more operations in password.
10. such as the described in any item Land Use Transition managing and control systems of claim 1-7, which is characterized in that the land use
Make the transition managing and control system further include: present status of land utilization module is used to store and show the land use in certain region several years
As-is data.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810614150.XA CN109146223B (en) | 2018-06-14 | 2018-06-14 | Land utilization transformation management and control system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810614150.XA CN109146223B (en) | 2018-06-14 | 2018-06-14 | Land utilization transformation management and control system |
Publications (2)
Publication Number | Publication Date |
---|---|
CN109146223A true CN109146223A (en) | 2019-01-04 |
CN109146223B CN109146223B (en) | 2021-11-30 |
Family
ID=64802024
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810614150.XA Expired - Fee Related CN109146223B (en) | 2018-06-14 | 2018-06-14 | Land utilization transformation management and control system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109146223B (en) |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102982392A (en) * | 2012-11-07 | 2013-03-20 | 中国科学院亚热带农业生态研究所 | Index of agricultural rodent pest outbreak risk estimation method based on geographical information system |
CN103309869A (en) * | 2012-03-09 | 2013-09-18 | 阿里巴巴集团控股有限公司 | Method and system for recommending display keyword of data object |
CN103854064A (en) * | 2012-11-29 | 2014-06-11 | 中国科学院计算机网络信息中心 | Event occurrence risk prediction and early warning method targeted to specific zone |
CN106682394A (en) * | 2016-11-30 | 2017-05-17 | 北京拓明科技有限公司 | Big data analyzing method and system of survival risk |
CN107249015A (en) * | 2017-04-28 | 2017-10-13 | 西安财经学院 | Credible cloud service system of selection, cloud system and Cloud Server based on risk assessment |
CN107451710A (en) * | 2017-04-27 | 2017-12-08 | 北京鼎泰智源科技有限公司 | A kind of Information Risk grade five-category method and system |
US20170364825A1 (en) * | 2016-06-21 | 2017-12-21 | Accenture Global Solutions Limited | Adaptive augmented decision engine |
CN107870927A (en) * | 2016-09-26 | 2018-04-03 | 上海泓智信息科技有限公司 | File appraisal procedure and device |
-
2018
- 2018-06-14 CN CN201810614150.XA patent/CN109146223B/en not_active Expired - Fee Related
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103309869A (en) * | 2012-03-09 | 2013-09-18 | 阿里巴巴集团控股有限公司 | Method and system for recommending display keyword of data object |
CN102982392A (en) * | 2012-11-07 | 2013-03-20 | 中国科学院亚热带农业生态研究所 | Index of agricultural rodent pest outbreak risk estimation method based on geographical information system |
CN103854064A (en) * | 2012-11-29 | 2014-06-11 | 中国科学院计算机网络信息中心 | Event occurrence risk prediction and early warning method targeted to specific zone |
US20170364825A1 (en) * | 2016-06-21 | 2017-12-21 | Accenture Global Solutions Limited | Adaptive augmented decision engine |
CN107870927A (en) * | 2016-09-26 | 2018-04-03 | 上海泓智信息科技有限公司 | File appraisal procedure and device |
CN106682394A (en) * | 2016-11-30 | 2017-05-17 | 北京拓明科技有限公司 | Big data analyzing method and system of survival risk |
CN107451710A (en) * | 2017-04-27 | 2017-12-08 | 北京鼎泰智源科技有限公司 | A kind of Information Risk grade five-category method and system |
CN107249015A (en) * | 2017-04-28 | 2017-10-13 | 西安财经学院 | Credible cloud service system of selection, cloud system and Cloud Server based on risk assessment |
Non-Patent Citations (1)
Title |
---|
沈洋等: "基于区间模糊VIKOR的监犯特征风险评估研究", 《数据分析与知识发现》 * |
Also Published As
Publication number | Publication date |
---|---|
CN109146223B (en) | 2021-11-30 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Feng et al. | Dynamic land use change simulation using cellular automata with spatially nonstationary transition rules | |
Yao et al. | Sensing spatial distribution of urban land use by integrating points-of-interest and Google Word2Vec model | |
Duncanson et al. | Assessing the general patterns of forest structure: Quantifying tree and forest allometric scaling relationships in the U nited S tates | |
Zhang et al. | Multi-agent based modeling of spatiotemporal dynamical urban growth in developing countries: simulating future scenarios of Lianyungang city, China | |
García et al. | ANN+ GIS: An automated system for property valuation | |
CN109858647A (en) | A kind of Regional Flooding Hazard Risk Assessment and predictor method coupling GIS and GBDT algorithm | |
Iban | An explainable model for the mass appraisal of residences: The application of tree-based Machine Learning algorithms and interpretation of value determinants | |
Schmook et al. | A step-wise land-cover classification of the tropical forests of the Southern Yucatan, Mexico | |
Xu et al. | Landslide susceptibility evaluation based on BPNN and GIS: a case of Guojiaba in the Three Gorges Reservoir Area | |
Rodriguez et al. | Using entropy theory to improve the definition of homogeneous regions in the semi-arid region of Brazil | |
Cheng et al. | Modelling environment and poverty factors for sustainable agriculture in the Three Gorges Reservoir Regions of China | |
NovotNý et al. | Defining rural areas of Visegrad countries | |
Crawford et al. | Impacts of in‐migration and coastal amenities on housing growth in coastal North Carolina, United States | |
Srinivasa Raju et al. | Fuzzy data envelopment analysis for performance evaluation of an irrigation system | |
Alavipoor et al. | A geographic information system for gas power plant location using analytical hierarchy process and fuzzy logic | |
Wang et al. | Machine learning-based prediction of sand and dust storm sources in arid Central Asia | |
Zhang et al. | Risk early warning of maize drought disaster in Northwestern Liaoning Province, China | |
Creed et al. | Maintaining the Portfolio of Wetland Functions on Landscapes: A Rapid Evaluation Tool for Estimating Wetland Functions and Values in Alberta, Canada | |
Patil et al. | Analytic hierarchy process for evaluation of environmental factors for residential land use suitability | |
CN109146223A (en) | Land Use Transition managing and control system | |
Cowood et al. | Expansion of landscape characterisation methods within the Hydrogeological Landscape Framework: application in the Australian Capital Territory | |
Maleki et al. | Wetland restoration prioritization using artificial neural networks | |
Chaudhari et al. | Data mining with meteorological data | |
Jiménez-López et al. | Artificial neural networks in the application of the growth of the urban sprawl | |
Sinden et al. | Cost effectiveness in site selection to protect native plant communities from the weed, bitou bush, in New South Wales, Australia |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20211130 |
|
CF01 | Termination of patent right due to non-payment of annual fee |