Land redevelopment decision-making system based on land parcel soil pollution grading

By constructing a land redevelopment decision-making system based on the soil pollution classification of land parcels, and utilizing fuzzy comprehensive evaluation and migration risk classification methods, the problems of land resource waste and pollution spread during urbanization have been solved, and scientific land redevelopment decision-making and risk management have been achieved.

CN120806669APending Publication Date: 2025-10-17SHANDONG UNIV
View PDF 0 Cites 0 Cited by

Patent Information

Application Number
CN202510659061.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-05-21
Publication Date
2025-10-17

AI Technical Summary

Technical Problem

Existing technologies are insufficient to effectively manage suspected contaminated sites during urbanization, leading to waste of land resources and potential risks of pollution spread. There is also a lack of scientific decision-making systems for land redevelopment.

Method used

A land redevelopment decision-making system based on the classification of soil pollution in plots is constructed by adopting the fuzzy comprehensive evaluation method and the migration risk classification method. The optimal redevelopment and utilization scheme is determined by the fuzzy comprehensive evaluation method, and the migration risk classification method is combined for management and control, thus establishing a scientific and user-friendly decision-making system.

Benefits of technology

It enables reasonable assessment and classification of suspected contaminated sites, efficient management of sites not yet developed or utilized, maximizing land value and economic benefits, and preventing the spread of pollution.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN120806669A_ABST
    Figure CN120806669A_ABST
Patent Text Reader

Abstract

The invention discloses a land redevelopment decision-making system based on land parcel soil pollution grading, which integrates soil and groundwater pollution characteristics and migration risks, firstly determines a redevelopment and utilization optimal scheme by a fuzzy comprehensive evaluation method, and determines management and control grades of polluted land parcels which do not have development conditions temporarily after comprehensive evaluation by a migration risk grading method. The existing national soil environment policy is fully linked, graded and classified management is carried out on the polluted land, and a scientific and operation-friendly land redevelopment decision-making system is established for suspected polluted land parcels.
Need to check novelty before this filing date? Find Prior Art

Description

TECHNICAL FIELD

[0001] The application belongs to the field of land planning research, and particularly relates to a land redevelopment decision system based on land plot soil pollution grading, which can reasonably grade the pollution degree and migration risk of a plot in the suspected pollution plot investigation stage, provide a reference for the management department to plan the development and utilization direction of the plot, and efficiently manage the plot temporarily not developed and utilized. BACKGROUND

[0002] With the rapid development of urbanization and the adjustment of the "retreat two and advance three" industrial structure in China, a large number of high-pollution and high-energy-consumption industrial and mining enterprises have been closed and relocated, resulting in a large number of legacy sites in cities and surrounding areas. The construction land in China is subject to access management, and only plots that meet the soil environmental quality requirements of the corresponding planning land can enter the land use procedure. Therefore, a large number of suspected contaminated plots can only be redeveloped after investigation, evaluation, remediation, and acceptance. If some heavily polluted plots are planned as residential land, the land transfer cost may not cover the remediation cost, resulting in waste of time and money. At the same time, if the sensitive land is not properly remediated, odor nuisance and other public opinion incidents may occur. The "Guiding Opinions on Promoting Soil Pollution Risk Control and Green Low-carbon Remediation" (Huanban Soil

[2023] No. 19) points out that the use of contaminated land should be reasonably planned, taking into account the soil pollution situation and risk level, and assisting relevant departments in planning the land use.

[0003] Therefore, it is urgent to establish a land redevelopment decision system based on land plot soil pollution grading to reasonably evaluate and grade the pollution degree of the plot in the suspected contaminated plot investigation or investigation stage, provide a reference for the management department to plan the development and utilization direction of the plot, and efficiently manage the contaminated plot temporarily not developed and utilized, so as to maximize the land value and economic benefits. SUMMARY

[0004] The purpose of the present application is to provide a land redevelopment decision system based on land plot soil pollution grading, which comprehensively considers the soil and groundwater pollution characteristics and migration risk, determines the optimal redevelopment and utilization scheme by fuzzy comprehensive evaluation method, and determines the control level by migration risk grading method for the contaminated plot that does not have development conditions after comprehensive evaluation, fully connects the existing national soil environmental policy, and establishes a scientific, comprehensive, and user-friendly land redevelopment decision system for suspected contaminated plots.

[0005] To achieve the above purpose, the construction land contaminated soil remediation effect comprehensive evaluation and grading method provided by the present application comprises the following steps:

[0006] 1) Construct a redevelopment evaluation method index set U based on the soil pollution characteristics of the plot and a comment set V;

[0007] 2) Establish a classification method and standard based on the pollution migration characteristics of land parcels;

[0008] 3) Obtain the results of each indicator in the evaluation method and grading method;

[0009] 4) Determine the membership degree of each evaluation index of the evaluation method and obtain the fuzzy evaluation matrix R;

[0010] 5) Use the hierarchical analysis method to determine the relative criticality of each evaluation indicator and obtain the weight matrix W;

[0011] 6) Using the weighted average operator, calculate the fuzzy comprehensive evaluation result matrix H;

[0012] 7) Based on the maximum membership principle, the matrix H and the evaluation set V are used to determine the optimal redevelopment plan for the land parcel. Taking into account the regional benchmark land price, restoration costs, land compatibility, etc., the decision on whether to develop and the proposed development plan is determined;

[0013] 8) For contaminated land parcels that are not currently worth developing and cannot be repaired or controlled, the risk level of land relocation will be determined using a grading method;

[0014] 9) Based on the migration risk level, implement targeted risk control measures for contaminated land that is not yet developed to prevent the spread of pollution.

[0015] Furthermore, the indicator set U described in step 1) is divided into three layers: a target layer, a criterion layer, and an indicator layer.

[0016] Target layer A includes soil B1 and groundwater B2;

[0017] Soil B1 includes the amount of key pollutants exceeding the standard U1, the amount of general pollutants exceeding the standard U2, the maximum multiple of key pollutants exceeding the standard U3, the maximum multiple of general pollutants exceeding the standard U4, the comprehensive multiple of exceeding the standard U5, the volume of pollution of key pollutants U6, the volume of pollution of general pollutants U7, whether it contains persistent organic pollutants U8, and whether it has odor U9;

[0018] Groundwater B2 includes the number of groundwater key pollutants exceeding the standard U10, the maximum single exceeding standard multiple of groundwater key pollutants U11, and the comprehensive exceeding standard multiple of groundwater U12;

[0019] U={U1,U2,U3...U11,U12}

[0020] The review set V={v1,v2,…,v m}, according to the sensitivity of planned land use, it corresponds to four levels: residential land, commercial and service land, park and green land, and industrial and mining land. See Table 1 for details.

[0021] The key pollutants refer to the pollutants with toxicity scores greater than or equal to 1000 in Appendix 1 of the Technical Regulation for Risk Screening and Risk Grading of Closed and Relocated Enterprise Land.

[0022] The persistent organic pollutants refer to those in Appendix 1 of the Technical Regulation for Risk Screening and Risk Grading of Closed and Relocated Enterprise Land.

[0023] The soil exceeding standard refers to the first type of land screening value specified in GB 36600.

[0024] The pollution amount refers to the amount of contaminated soil that needs to be remediated under the condition that the evaluation baseline value is used as the remediation target value.

[0025] The groundwater exceeding standard refers to the IV type water quality standard specified in GB / T 14848.

[0026] In the land redevelopment decision-making system based on land soil pollution grading, the grading method in step 2) includes two secondary indicators of soil and groundwater, and contains 10 tertiary indicators of surface coverage in key areas, underground anti-seepage facilities, soil permeability in the vadose zone, soil pollutant volatility, soil pollutant migration, annual precipitation, groundwater depth, soil permeability in the saturated zone, groundwater pollutant migration, and groundwater pollutant volatility. Each tertiary indicator corresponds to three indicator levels of high, medium, and low migration, and different index scores are set for each level, as shown in Table 2. The soil pollutant migration and groundwater pollutant migration refer to Appendix 2 of the Technical Regulation for Risk Screening and Risk Grading of Closed and Relocated Enterprise Land.

[0027] In the land redevelopment decision-making system based on land soil pollution grading, the results of each indicator in the evaluation method and the grading decision-making system in step 3) can be obtained through land investigation, soil pollution investigation, site reconnaissance, and laboratory testing. In the land redevelopment decision-making system based on land soil pollution grading, the fuzzy evaluation matrix R in step 4) is calculated by the membership function, and each row in R reflects the membership of the indicator value in the four evaluation intervals.

[0028]

[0029] The degree v to which a certain qualitative evaluation indicator belongs to the mth evaluation level (m = residential land, commercial and service green land, park land, and industrial and mining land) m is:

[0030]

[0031] A certain quantitative evaluation indicator adopts a descending half-trapezoidal membership function, as shown in Table 3.

[0032] Table 1 Land redevelopment decision system fuzzy evaluation comment level V

[0033]

[0034] Table 2 Land pollution migration risk scoring table

[0035]

[0036]

[0037] Table 3 Evaluation index membership function

[0038]

[0039] In the land redevelopment decision system based on land soil pollution classification, the weight calculation method of each evaluation index in the evaluation method in step 5) is the analytic hierarchy process. Its characteristics are that nine scale method is used to establish three matrices, A = {B1, B2} (matrix 1-1), B1 = (U1, U2, U3, U4, U5, U6, U7, U8, U9) (matrix 2-1), and B2 = (U10, U11, U12) (matrix 3-1). According to the expert group scoring method, the corresponding values in the judgment matrix are obtained. After normalization operation and consistency test of the judgment matrix, the weights corresponding to the criterion layer and the index layer are obtained, and the weight matrix W of the index layer corresponding to the target layer is obtained by multiplication.

[0040] (U1, U2, U3, U4, U5, U6, U7, U8, U9) (matrix 2-1), and B2 = (U10, U11, U12) (matrix 3-1). According to the expert group scoring method, the corresponding values in the judgment matrix are obtained. After normalization operation and consistency test of the judgment matrix, the weights corresponding to the criterion layer and the index layer are obtained, and the weight matrix W of the index layer corresponding to the target layer is obtained by multiplication.

[0041] W = (w1, w2, … w 11 ,w 12 )

[0042] The expert group is composed of 4 people from the environmental management department, 4 people from the planning management department, and 8 industry experts, and the weights of the scores are 0.4, 0.4, and 0.2, respectively.

[0043] Table 4 Scale and meaning of judgment matrix

[0044]

[0045] In the land redevelopment decision system based on land soil pollution classification, the fuzzy comprehensive evaluation result matrix is a weighted evaluation operator.

[0046]

[0047] The preferred development scheme of the land block in step 7) is determined by the maximum membership degree principle of H, the maximum value and the second maximum value in the matrix are selected, the land use type is combined with the regional benchmark land price, the repair amount, the repair unit price and the land use compatibility are estimated, and whether the development is determined and the development scheme is determined.

[0048] The contaminated land block not developed and utilized at present refers to the land block determined by the evaluation method as not having development value or having no development plan at present.

[0049] The migration risk level in step 8) is obtained by scoring calculation of 10 land block characteristic indexes, the sum of the scores of the corresponding three-level indexes is the score of the two-level indexes, and the total score of the land block migration risk is calculated according to formula (5). The land block is divided into high, medium and low migration risk land blocks according to the total score.

[0050]

[0051] In the formula, S is the total score of the land block migration risk; S s is the soil score of the land block; S g w is the underground water score of the land block

[0052] Table 5 land block pollution migration risk classification table

[0053] migration risk total score migration risk level ≧32 high 20~32 medium ≦20 low

[0054] Step 9) for the contaminated land block not developed and utilized at present, according to the migration risk level, the risk control measures are targeted for the implementation of different migration risk levels to prevent pollution diffusion.

[0055] The application can realize reasonable evaluation and classification of the pollution degree of the land block in the suspected contaminated land block investigation or investigation stage, fully connect the existing national soil environment policy, and establish a scientific and friendly land re-development decision system for the suspected contaminated land block. BRIEF DESCRIPTION OF DRAWINGS

[0056] The drawings described herein are used to provide further understanding of the present application, constitute a part of the present application, the illustrative embodiments of the present application and the description thereof are used to explain the present application, and do not constitute improper limitation on the present application. In the drawings:

[0057] figure 1 It is the flowchart of the system in the present application. DETAILED DESCRIPTION

[0058] The land re-development decision system based on the land block soil pollution classification of the application comprises the following steps:

[0059] 1) Constructing the index set U of the redevelopment evaluation method based on the soil pollution characteristics of the plot, and the evaluation set V;

[0060] 2) Constructing the grading method and standard based on the pollution migration characteristics of the plot;

[0061] 3) Obtaining the results of each index in the evaluation method and the grading method;

[0062] 4) Determining the membership degree of each evaluation index of the evaluation method to obtain the fuzzy evaluation matrix R;

[0063] 5) Determining the relative criticality of each evaluation index by using the analytic hierarchy process to obtain the weight matrix W;

[0064] 6) Using the weighted average operator to calculate the fuzzy comprehensive evaluation result matrix H;

[0065] 7) According to the maximum membership degree principle, determining the plot redevelopment optimization scheme from the matrix H and the evaluation set V, and combining the regional benchmark land price, repair cost, land compatibility, etc. to determine whether to develop and determine the proposed development scheme;

[0066] 8) For the contaminated plots that do not have development value and cannot implement repair or control, determining the plot migration risk level by the grading method;

[0067] 9) According to the migration risk level, implementing targeted risk control measures for the contaminated plots that are not developed and utilized to prevent pollution diffusion.

[0068] In step 1), the evaluation method index set U is divided into three layers: target layer, criterion layer, and index layer. The target layer A includes soil B1 and groundwater B2. The soil B1 includes the number of over-standard key pollutants U1, the number of over-standard general pollutants U2, the maximum over-standard multiple of key pollutants U3, the maximum over-standard multiple of general pollutants U4, the comprehensive over-standard multiple U5, the pollution volume of key pollutants U6, the pollution volume of general pollutants U7, whether it contains persistent organic pollutants U8, and whether it has odor U9.

[0069] The groundwater B2 includes the number of over-standard key pollutants of groundwater U10, the maximum single over-standard multiple of key pollutants of groundwater U11, and the comprehensive over-standard multiple of groundwater U12.

[0070] U = {U1, U2, U3...U11, U12}

[0071] The evaluation set V = {v1, v2, …, v m}, which corresponds to residential land, commercial and service land, park green land, and industrial and mining land in order according to the sensitivity of the planned land.

[0072] The grading method in step 2) includes two secondary indexes of soil and underground water, and 10 tertiary indexes of surface coverage in key areas, underground anti-seepage facilities, soil permeability in the vadose zone, soil pollutant volatility, soil pollutant migration, annual precipitation, underground water depth, soil permeability in the saturated zone, underground water pollutant migration, and underground water pollutant volatility. Each tertiary index corresponds to three index grades of high, medium and low, and different index scores are set.

[0073] In step 3), the results of each index in the evaluation method and the grading decision system can be obtained through land investigation, soil pollution investigation, site reconnaissance, laboratory detection and other ways.

[0074] In step 4), the fuzzy evaluation matrix R is calculated by the membership function. Each row in R reflects the membership of the index value in the four evaluation intervals. Different membership functions are established for qualitative evaluation and quantitative evaluation indexes.

[0075] In step 5), the calculation method of the weight of each evaluation index in the evaluation method is the analytic hierarchy process. Using 1-9 scale, first, the expert group judges and scores all indexes, constructs a judgment matrix, and performs normalization operation on the judgment matrix. After consistency check, the weights corresponding to the criterion layer and the index layer are obtained. Multiplying the weights corresponding to the criterion layer and the index layer, the weight matrix W of the index layer corresponding to the target layer is obtained.

[0076] W=(w1,w2,…w 11 ,w 12 )

[0077] The expert group consists of 4 people from the environmental management department, 4 people from the planning management department, and 8 industry experts. The weights of the scores are 0.4, 0.4 and 0.2, respectively.

[0078] Judgment matrix (1-1)

[0079] target layer (a) soil (b1) groundwater (b2) soil (b1) 1 3 groundwater (b2) 0.33333333 1

[0080] Judgment matrix (2-1)

[0081]

[0082] Judgment matrix (3-1)

[0083]

[0084] The above matrix is normalized to obtain the weights corresponding to the criterion layer and the target layer, and the results are as follows

[0085] (1) The weight of the criterion layer corresponding to the target layer A, W B1 = 0.75, W B2= 0.25;

[0086] (2) the weight corresponding to the criterion layer B1 index layer, W U1 = 0.079, W U2 = 0.021, W U3 = 0.117, W U4 = 0.028, W U5 = 0.210, W U6 = 0.306, W U7 = 0.150, W U8 = 0.037, W U9 = 0.052

[0087] (3) the weight corresponding to the criterion layer B2 index layer, W U10 = 0.200, W U11 = 0.200, W U12 = 0.600.

[0088] The weight matrix

[0089] W = (0.059, 0.016, 0.088, 0.021, 0.158, 0.230, 0.113, 0.028, 0.039, 0.050, 0.050, 0.150)

[0090] Wherein the fuzzy comprehensive evaluation result matrix in step 6) is a "weighted average type" operator for integration and summation.

[0091]

[0092]

[0093] Wherein the plot redevelopment preferred scheme in step 7) is determined by the maximum membership degree principle of H, the maximum value and the second maximum value in the matrix are selected, and the land use type is combined with the regional benchmark land price to estimate the repair amount, the repair unit price, the land use compatibility, etc., to determine whether to develop and the proposed development scheme.

[0094] The contaminated plot not developed for use at present refers to the contaminated plot which is determined by the evaluation method to temporarily have no development value or no development plan.

[0095] Wherein the migration risk level in step 8) is calculated by the score of 10 plot characteristic indexes, the sum of the scores of the corresponding three-level indexes is the score of the secondary index, and the total score of the plot migration risk is calculated according to formula (5). The plots are divided into high, medium and low migration risk plots according to the total score.

[0096] Step 9) For the contaminated land not to be developed and utilized temporarily, targeted risk control measures are implemented according to the migration risk level to prevent pollution diffusion.

[0097] Table 6 Evaluation index and weight table

[0098]

[0099] Each of the embodiments in the specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other. Each embodiment focuses on the difference from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the part of the method embodiment.

[0100] The above only describes the embodiments of the present application and is not intended to limit the present application. The present application can have various modifications and changes for those skilled in the art. Any modification, equivalent replacement, improvement, etc. within the spirit and principle of the present application shall be included in the scope of claims of the present application.

Claims

1. A land redevelopment decision-making system based on land parcel soil pollution classification, characterized by: The following steps are involved: 1) Construct the redevelopment assessment method indicator set U and comment set V based on the soil pollution characteristics of the plot; 2) Establish a classification method and standard based on the pollution migration characteristics of land parcels; 3) Obtain the results of each indicator in the evaluation method and grading method; 4) Determine the membership degree of each evaluation index of the evaluation method and obtain the fuzzy evaluation matrix R; 5) Use the hierarchical analysis method to determine the relative criticality of each evaluation indicator and obtain the weight matrix W; 6) Using the weighted average operator, the fuzzy comprehensive evaluation result matrix H is obtained; 7) Based on the maximum membership principle, the matrix H and the evaluation set V are used to determine the optimal redevelopment plan for the land parcel. Taking into account the regional benchmark land price, restoration costs, land compatibility, etc., the decision on whether to develop the land parcel and the proposed development plan are determined; 8) For contaminated land parcels that are not currently worth developing and cannot be repaired or controlled, the risk level of land relocation will be determined using a grading method; 9) Based on the migration risk level, implement targeted risk control measures for contaminated land that is not yet developed to prevent the spread of pollution.

2. The land redevelopment decision-making system based on land parcel soil pollution classification according to claim 1 is characterized in that: The indicator set U described in step 1) is divided into three layers: target layer A, criterion layer, and indicator layer; Target layer A includes soil B1 and groundwater B2; Soil B1 includes the amount of key pollutants exceeding the standard U1, the amount of general pollutants exceeding the standard U2, the maximum multiple of key pollutants exceeding the standard U3, the maximum multiple of general pollutants exceeding the standard U4, the comprehensive multiple of exceeding the standard U5, the volume of pollution of key pollutants U6, the volume of pollution of general pollutants U7, whether it contains persistent organic pollutants U8, and whether it has odor U9; Groundwater B2 includes the number of groundwater key pollutants exceeding the standard U10, the maximum single exceeding standard multiple of groundwater key pollutants U11, and the comprehensive exceeding standard multiple of groundwater U12; U={U1,U2,U3...U11,U12}; The comment set V = {v1, v2, ..., vm} corresponds to four levels of residential land, commercial and service land, park and green land, and industrial and mining land according to the sensitivity of the planned land.

3. The land redevelopment decision-making system based on land parcel soil pollution classification according to claim 1 is characterized in that: The grading method described in step 2) includes two secondary indicators, soil and groundwater, and 10 tertiary indicators, namely, surface coverage of key areas, underground anti-seepage facilities, soil permeability in the vadose zone, volatility of soil pollutants, mobility of soil pollutants, annual precipitation, groundwater depth, soil permeability in the saturated zone, mobility of groundwater pollutants, and volatility of groundwater pollutants; each tertiary indicator corresponds to three indicator levels of pollution migration: high, medium, and low, and different indicator scores are set for each.

4. The land redevelopment decision-making system based on land parcel soil pollution classification according to claim 1 is characterized in that: The results of the various indicators in the evaluation method and hierarchical decision-making system in step 3) are obtained through a preliminary investigation of the land parcels, a survey of the soil pollution status, on-site inspections, and laboratory testing.

5. The land redevelopment decision-making system based on land parcel soil pollution classification according to claim 1 is characterized in that: In step 4), the fuzzy evaluation matrix R is calculated by the membership function. Each row in R reflects the membership of the index value in the four evaluation intervals. Different membership functions are established for qualitative and quantitative evaluation indicators respectively. The degree vm to which a qualitative evaluation indicator belongs to the mth evaluation level (m = residential land, commercial and service land, park and green land, industrial and mining land) is: A certain quantitative evaluation index adopts a semi-trapezoidal membership function, as shown in formulas (2) and (3) Where: u ij (x) is the membership degree of a certain indicator, x i The measured value of a certain indicator in soil or groundwater, a ij It is the j-level standard of the i-th indicator in soil or groundwater (j = residential land, commercial and service land, park and green land, industrial and mining land).

6. The land redevelopment decision-making system based on land parcel soil pollution classification according to claim 1 is characterized in that: In step 5), the weight calculation method of each evaluation index in the evaluation method is determined to be the hierarchical analysis method; The nine-scale method was used to establish three matrices: A = {B1, B2} (matrix 1-1), B1 = (U1, U2, U3, U4, U5, U6, U7, U8, U9) (matrix 2-1), and B2 = (U10, U11, U12} (matrix 3-1). The corresponding values ​​in each judgment matrix were obtained according to the expert group scoring method. The judgment matrix was normalized and, after a consistency test, the weights corresponding to the criterion layer and the indicator layer were obtained. The weight matrix W corresponding to the target layer of the indicator layer was obtained by multiplying them. In=(in1,in2,…in 11 ,In 12 )。 7. The land redevelopment decision-making system based on land parcel soil pollution classification according to claim 1 is characterized in that: Fuzzy comprehensive evaluation result matrix in step 6) is the weighted average operator.

8. The land redevelopment decision-making system based on land soil pollution classification according to claim 1 is characterized in that: The preferred redevelopment plan for the land parcel described in step 7) is determined by the maximum membership principle of H. The land use types corresponding to the maximum and second largest values ​​are selected in the matrix. The development and proposed development plan are determined based on the regional benchmark land price, restoration costs, land compatibility, etc.

9. The land redevelopment decision-making system based on land parcel soil pollution classification according to claim 1 is characterized in that: The migration risk level described in step 8) is calculated by adding up the scores of the 10 plot characteristic indicators, and is divided into high, medium and low migration risk plots according to the score.

10. The land redevelopment decision-making system based on land parcel soil pollution classification according to claim 1, characterized in that: Step 9) For contaminated land that is not yet developed, implement targeted risk control measures based on the migration risk level to prevent the spread of pollution.