CN107423564A - The method of decision analysis of river basin ecological correcting strategy - Google Patents

The method of decision analysis of river basin ecological correcting strategy Download PDF

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CN107423564A
CN107423564A CN201710619274.2A CN201710619274A CN107423564A CN 107423564 A CN107423564 A CN 107423564A CN 201710619274 A CN201710619274 A CN 201710619274A CN 107423564 A CN107423564 A CN 107423564A
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李梦娣
范俊韬
张远
孟伟
刘录三
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Chinese Research Academy of Environmental Sciences
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Abstract

The invention discloses the method for decision analysis of river basin ecological correcting strategy, and it comprises the following steps:Step 1: establishing basin water ecological security assessment indicator system, and restoration of the ecosystem target is set according to it;Step 2: repairing target according to river basin ecological, restoration of the ecosystem measure is screened;Step 3: structure includes the restoration of the ecosystem Model for Multi-Objective Optimization of decision variable, object function and constraints;Step 4: solving Model for Multi-Objective Optimization, restoration of the ecosystem assembled scheme is selected on demand;Establish the method for decision analysis of system, to the several modules of multiple-objection optimization of restoration of the ecosystem goal-setting, measure screening and reclamation activities assembled scheme, it is building up to from hydro-ecological safety assessment indicator system and solves restoration of the ecosystem multi-objective optimization question, and the corresponding Effect of Ecological Restoration of optimization disaggregation assembled scheme and socioeconomic impact are supplied to policymaker with understandable information, the comprehensive Analysis of Policy Making science and technology support of foundation system, aid decision making person formulate scientificlly and effectively restoration of the ecosystem strategy.

Description

The method of decision analysis of river basin ecological correcting strategy
Technical field
The present invention relates to Basin Pollution Control and restoration of the ecosystem field, specifically, is related to a kind of basin life of multiple target The method of decision analysis of state correcting strategy.
Background technology
River ecosystem provides various products & services, including drinking water source, work for human social development Agricultural water supply, aquatic products etc., it is glad that ecology service includes the healthy living environment of offer, amusement and leisure, species conservation and landscape Reward etc..However, the urbanization increasingly expanded causes serious threat with industrialization to the safety and health of river ecosystem, Severe destruction is not only caused to ecological environment, also counteracts that the sustainable development of social economy.Therefore, the ecology in river is repaiied It is multiple to recover aquatic ecosystem it is complete with it is healthy very necessary and urgent.
The formulation of restoration of the ecosystem strategy includes goal-setting, measure screening and resource allocation, and (reclamation activities assembled scheme is true It is fixed) etc. several aspects.The determination of restoration of the ecosystem target and the screening of reclamation activities need to establish to be evaluated in basin water ecological security On the basis of, according to the diagnostic result of basin water ecological security situation, targetedly propose to repair corresponding to target and screening Reclamation activities.Resource effectively distribution is the key point that reclamation activities Optimum combinational scheme is restoration of the ecosystem policy development.
Due to the complexity of river ecosystem, restoration of the ecosystem generally requires to meet multiple reparation targets, is related to a variety of Reclamation activities engineering, it is successfully to realize the guarantee of river basin ecological reparation to carry out multiple-objection optimization to restoration of the ecosystem strategy.Multiple target Optimization is that the solution or disaggregation of multiple objective optimization values are found out while can met by certain algorithm.A kind of initial multiple-objection optimization Solution is to assign weight to different object functions, then multiple target is converted into the optimization of single goal by weighted sum Problem.However, the optimal solution solved by Weight method only has single solution, easily omit and much meet that object function is optimal The optimization disaggregation of value, and reflect the optimal value of object function with tending not to objective reality.It is applied to multiple-objection optimization at present The algorithm of search it is more have simulated annealing, genetic algorithm, particle algorithm etc., although these algorithms avoid the meter for assigning power summation Operator workload and the artificial subjective bias for assigning weighted value, but its realization generally requires to use programming language, complex operation;Using In the formulation of restoration of the ecosystem strategy, man-machine interaction visualization is poor in implementation procedure, and operation difficulty is high.
The planning of restoration of the ecosystem often relates to the decision-maker of multiple industries and department, including land user, locality Resident, government administration section and other stakeholders etc..
The planning and formulation of conventional restoration of the ecosystem strategy are dependent on the experience judgement of policymaker and leading for relevant benefit demand To, on the one hand can not realize the reparation of multiple target simultaneously, another aspect cost consumption and economic benefit can not being optimal, it is scarce The support of the science of the method for decision analysis of weary system and Multipurpose Optimal Method, resource tend not to obtain an equitable breakdown and effectively Utilize, hinder the comprehensive of restoration of the ecosystem target and efficiently realize.
Therefore, a kind of method of decision analysis for the river basin ecological correcting strategy that can realize multiple target reparation is now provided.
The content of the invention
Therefore, the present invention provides a kind of Analysis of Policy Making side for the river basin ecological correcting strategy that can realize multiple target reparation Method.
In order to solve the above technical problems, the invention provides a kind of method of decision analysis of river basin ecological correcting strategy, its Comprise the following steps:
Step 1: establishing basin water ecological security assessment indicator system, and restoration of the ecosystem target is set according to it;
Step 2: repairing target according to river basin ecological, restoration of the ecosystem measure is screened;
Step 3: structure includes the restoration of the ecosystem Model for Multi-Objective Optimization of decision variable, object function and constraints;
Step 4: solving Model for Multi-Objective Optimization, restoration of the ecosystem assembled scheme is selected on demand.
The method of decision analysis of river basin ecological correcting strategy according to claim 1, it is characterised in that:In step 1 In, when establishing basin water ecological security assessment indicator system, from Ecology pressure (pressure), Ecology state (state), Four aspects of ecological functions (function) and response characteristic (response) choose evaluation index, build pressure-state-work( Energy-response PSFR evaluation models.
When carrying out basin water ecological security evaluation, using sub-basin as basic evaluation unit, in digital elevation dem data On the basis of watershed carry out watershed partitioning extraction;Land use, pollutant emission, yearbook statistics in sub-basin, ring system The data parameters such as report, water quality parameter, fish and macrobenthos state carry out data collection and on-site inspection, and obtain tool Body index parameter.
When establishing structure pressure-state-function-response PSFR evaluation models, it comprises the following steps:
S1, indices initial data is standardized;
S2, using index weights reflect that evaluation index is relatively important in basin water ecological security appraisement system Property;
S3, pass through evaluation index weighted sum, calculating integrating index ESI scores, with index assessment basin entirety Hydro-ecological safety situation.
In step sl, for positive index, data are standardized by the following method:
For negative sense index, data are standardized by the following method:
In the formula of above-mentioned (1) and (2):Si is the standardized value of i indexs, and Xi is the original value of i indexs, and Xmax, Xmin distinguish For i indexs in evaluation region maximum and minimum value.
In step s 2, the preliminary weight Wj ' formulas (3-5) of every evaluation index are determined using VC Method;
Calculate standard deviation:
The coefficient of variation is obtained according to average and standard deviation:
Preliminary weight is calculated according to the coefficient of variation:
Then expert's differentiation, document are carried out and is investigated on the spot, adjustment member index weights.
In step s3,
Wherein, ESI is ecological safety comprehensive index;Wi is the weight of i-th of index, and Yi is index score;
After step S3, pertinent literature is consulted, the hydro-ecological safety state grade criteria for classifying is determined according to table 1:
According to the hydro-ecological safety evaluation result of pressure-state-function-response PSFR evaluation models, river basin ecological is set up Repair target.
In step 3, using reclamation activities as decision variable, object function is established;
Limited according to minimum the implementation unit condition and financial budget of drainage characteristics, reclamation activities, establish constraint function;
Model for Multi-Objective Optimization is solved using leash law:The binding occurrence of one or more object functions is chosen as constraint bar One of part, the optimization disaggregation for meeting another object function optimal value is solved, choose nonlinear algorithm and scan for calculating, to obtain Model for Multi-Objective Optimization.
In step 4, solve to obtain target function value and its phase including a series of gradient distributions to Model for Multi-Objective Optimization Pareto optimization disaggregation including the assembled scheme answered, to Pareto optimization disaggregation carry out list information explanation, policymaker according to Demand selects optimal reclamation activities assembled scheme.
The above-mentioned technical proposal of the present invention has advantages below compared with prior art:
In the present invention, the method for decision analysis of system is established, restoration of the ecosystem goal-setting, measure are screened and repaired The several modules of multiple-objection optimization of combined measure scheme, it is more to be building up to solution restoration of the ecosystem from hydro-ecological safety assessment indicator system Objective optimisation problems, and the corresponding Effect of Ecological Restoration of disaggregation assembled scheme and socioeconomic impact will be optimized with understandable Information is supplied to policymaker, foundes the comprehensive Analysis of Policy Making science and technology support of system, and aid decision making person formulates scientificlly and effectively Restoration of the ecosystem strategy.
Brief description of the drawings
In order that present disclosure is more likely to be clearly understood, specific embodiment and combination below according to the present invention Accompanying drawing, the present invention is further detailed explanation, wherein
Fig. 1 is river basin ecological correcting strategy method of decision analysis thinking figure of the present invention;
Fig. 2 is the programming evaluation man-machine interaction schematic diagram of Model for Multi-Objective Optimization described in the embodiment of the present invention 2;
Fig. 3 is the Pareto optimization disaggregation few examples explanation figure described in the embodiment of the present invention 2.
Embodiment
The embodiment of the present invention is described in detail below in conjunction with accompanying drawing.It should be appreciated that this place is retouched The embodiment stated is merely to illustrate and explain the present invention, and is not intended to limit the invention.
Embodiment 1
As shown in figure 1, the method for decision analysis of the river basin ecological correcting strategy of the present embodiment, it comprises the following steps:
Step 1: establishing basin water ecological security assessment indicator system, and restoration of the ecosystem target is set according to it;
Step 2: repairing target according to river basin ecological, restoration of the ecosystem measure is screened;
Step 3: structure includes the restoration of the ecosystem Model for Multi-Objective Optimization of decision variable, object function and constraints;
Step 4: solving Model for Multi-Objective Optimization, restoration of the ecosystem assembled scheme is selected on demand.
In the present embodiment, the method for decision analysis of system is established, restoration of the ecosystem goal-setting, measure are screened and repaiied The several modules of multiple-objection optimization of multiple combined measure scheme, solution restoration of the ecosystem is building up to from hydro-ecological safety assessment indicator system Multi-objective optimization question, and the corresponding Effect of Ecological Restoration of disaggregation assembled scheme and socioeconomic impact will be optimized should be readily appreciated that Information be supplied to policymaker, found the comprehensive Analysis of Policy Making science and technology support of system, aid decision making person formulates scientific and effective Ground restoration of the ecosystem strategy.
In step 1, when establishing basin water ecological security assessment indicator system, from Ecology pressure (pressure), water Four ecological state (state), ecological functions (function) and response characteristic (response) aspects choose evaluation index, structure Build pressure-state-function-response PSFR evaluation models.
In the present embodiment, when establishing basin water ecological security assessment indicator system, it then follows systematicness, integrality, science Property, the selecting index principle such as representativeness and metrizability, from Ecology pressure (pressure), Ecology state (state), raw Four aspect selection evaluation indexes of state function (function) and response characteristic (response), structure pressure-state-function- PSFR evaluation models are responded, carry out basin water ecological security evaluation.
Further, when carrying out basin water ecological security evaluation, watershed is carried out on the basis of digital elevation dem data Watershed partitioning extracts, using sub-basin as basic evaluation unit;Land use, pollutant emission in sub-basin, yearbook The data parameters such as statistics, the report of ring system, water quality parameter, fish and macrobenthos state carry out data collection and adjusted on the spot Look into, obtain specific targets parameter.
When establishing structure pressure-state-function-response PSFR evaluation models, it comprises the following steps:
S1, indices initial data is standardized;
S2, using index weights reflect that evaluation index is relatively important in basin water ecological security appraisement system Property;
S3, pass through evaluation index weighted sum, calculating integrating index ESI scores, with index assessment basin entirety Hydro-ecological safety situation.
In the present embodiment, because the data character of different index factors is different, and without unified dimension, data are made not With comparativity, so needing to be standardized indices initial data, adopted for positive index and negative sense index Take different standardized methods so that numerical value is easy to compare and calculated after processing.
Specifically, in step sl, for positive index, data are standardized by the following method:
For negative sense index, data are standardized by the following method:
In the formula of above-mentioned (1) and (2):Si is the standardized value of i indexs, and Xi is the original value of i indexs, and Xmax, Xmin distinguish For i indexs in evaluation region maximum and minimum value;
Wherein, for positive index, i.e., more big more safety index;For negative sense index, i.e., smaller more safety index.
In the present embodiment, because the influence degree of single item evaluation index basin water ecological security is different, evaluation index compared with It is more, so using relative importance of the index weights come reflected appraisal index in whole assessment indicator system;Specifically, in step In rapid S2, the preliminary weight Wj ' formulas (3-5) of every evaluation index are determined using VC Method;
Calculate standard deviation:
The coefficient of variation is obtained according to average and standard deviation:
Preliminary weight is calculated according to the coefficient of variation:
Then expert's differentiation, document are carried out and is investigated on the spot, adjustment member index weights.
In step s3,
Wherein, ESI is ecological safety comprehensive index;Wi is the weight of i-th of index, and Yi is index score;
After step S3, pertinent literature is consulted, the hydro-ecological safety state grade criteria for classifying is determined according to table 1:
According to the hydro-ecological safety evaluation result of pressure-state-function-response PSFR evaluation models, river basin ecological is set up Repair target.
The basin water ecological security opinion rating standard of table 1
In step 3, using reclamation activities as decision variable, object function is established;
Limited according to minimum the implementation unit condition and financial budget of drainage characteristics, reclamation activities, establish constraint function;
Model for Multi-Objective Optimization is solved using leash law:The binding occurrence of one or more object functions is chosen as constraint bar One of part, the optimization disaggregation for meeting another object function optimal value is solved, choose nonlinear algorithm and scan for calculating, to obtain Model for Multi-Objective Optimization.
In step 4, Model for Multi-Objective Optimization is solved to obtain including a series of target function value including gradient distributions and Pareto optimization disaggregation including its corresponding assembled scheme, list information explanation, policymaker are carried out to Pareto optimization disaggregation Optimal reclamation activities assembled scheme is selected according to demand.
In the present embodiment, structure includes the restoration of the ecosystem multiple-objection optimization of decision variable, object function and constraints After model, by Microsoft Excel programming evaluation function, the Pareto of different reclamation activities assembled schemes is searched for (Pareto) optimal solution set;Then corresponding list information explanation is carried out to the Pareto optimization disaggregation of solution, including ecology changes Kind effect, implementation cost and economic results in society etc., for river basin ecological Rehabilitation decision person provides completely detailed scheme introduction with Scientific basis.
Embodiment 2
On the basis of embodiment 1, Liaoning Province's crown prince's river valley is selected as case is embodied:
Step 1: establishing basin water ecological security assessment indicator system, and restoration of the ecosystem target is set according to it;
When establishing basin water ecological security assessment indicator system, from Ecology pressure (pressure), Ecology state (state), four aspect selection evaluation indexes of ecological functions (function) and response characteristic (response), structure pressure- State-function-response PSFR evaluation models;
In the present embodiment, according to the social-economic development status and drainage characteristics of crown prince's river valley:
Evaluation index chooses two rule layers of land use and pollutant emission, including farmland face in terms of Ecology pressure Product, construction land, mine area, living space and agriculture chemical apply 5 specific targets;
Ecology state aspect has three habitat state, water quality condition and biological aspect rule layers, and specific targets include planting Quilt, border quality of dwelling, streambed substrate, hydrated characteristic, nutritive salt feature, fish state, macrobenthos state and cleaning species Deng 8;
Include four landscape amusement, species conservation, natural excellent habitat and potable water source district rule layers in terms of ecological functions, Evaluation index has aquatic products supply, tourist resources, rare endemic species, bio-diversity, nature reserve area and concentrates drinking water Probability of meeting water quality standard 6;
Response characteristic includes two rule layers of Eco response and social responsiveness, and specific targets include artificial forest area, sewage Handling rate and Environmental Inputs 3;
On the basis of the above, when carrying out basin water ecological security evaluation, using sub-basin as basic evaluation unit, in number Watershed carries out watershed partitioning extraction on the basis of word elevation dem data;Land use, pollutant emission in sub-basin, The data parameters progress data collection such as yearbook statistics, the report of ring system, water quality parameter, fish and macrobenthos state and on the spot Investigation, obtain specific targets parameter;
Specifically, in the present embodiment with 1:Based on 50 000 digital complex demodulation data, in Arcswat (v2012) extraction of water system and Basin Boundary is carried out in by Watershed Delineation modules, to investigate sampling point as remittance Water out point, tentatively generates some sub-basin units, recycles the newest drainage map in basin to be adjusted, most Taizihe River basin at last Mountain segment is divided into 35 sub- Watershed Units;
Then, on-site inspection and data collection are carried out to research area, index relevant parameter is obtained, according to formula (1) and formula (2) Carry out data normalization processing;According to the preliminary weight of VC Method agriculture products of formula (3), formula (4) and formula (5), Ran Houjin Row expert differentiation, last adjustment member index weights;According to formula (6) weighted sum, ecological safety composite index ESI, root are calculated Sub-basin hydro-ecological safety grade is determined according to table 1.
Watershed hydro-ecological safety situation is analyzed and evaluated, the index factor for influenceing basin water ecological security state Set up restoration of the ecosystem target:Environmental health and social economic effect;
Wherein, environmental health, which repairs target, includes water quality, bio-diversity (fish and macrobenthos) etc., tool Body includes dissolved oxygen (DO), total nitrogen (TN), ammonia nitrogen (NH3- N), total phosphorus (TP), fish species number (FS), and macrobenthos 6 ecological index of diversity indices (BDI);Socioeconomic impact includes implementation cost and economic benefit two parts.
Step 2: repairing target according to river basin ecological, restoration of the ecosystem measure is screened;
Specifically, in the present embodiment, set based on Taizihe River basin water ecological security evaluation result and restoration of the ecosystem target It is fixed, select three kinds of reclamation activities:Artificial swamp (Constructed Wetland, CW), ecological fish pond (Ecological Fish Pond, EFP) and land use transformation make (Land UseReformation, LUR) be Taizihe River river basin ecological reparation implementation Engineering, and consult ecological effect, implementation cost and the economic benefit (table 2) for determining three kinds of reclamation activities.
Step 3: structure includes the restoration of the ecosystem Model for Multi-Objective Optimization of decision variable, object function and constraints;
Using reclamation activities as decision variable, according to Taizihe River drainage characteristics and budget limit etc., relevant equations or not are established Equality constraint, structure include the Model for Multi-Objective Optimization of two object functions of environmental health and socioeconomic impact:
1. environmental health object function:
F1 (x)=∑ixwi*Bi (7)
Wherein i is ecological index (i ∈ DO, TN, NH3-N,TP,FS,BDI);X is decision variable, i.e. the reality of recovery project Apply quantity;Wi is weights of the index i for ESI;Bi is improvement of the reclamation activities to ecological index i.In crown prince's river valley On the basis of hydro-ecological safety evaluation, with reference to restoration of the ecosystem target, 6 ecological index are assigned with weight respectively, E2 is extremely in Fig. 2 E9.Wherein, TN, NH3- N, and TP are improved as cutting down its content, therefore assign negative weighted value;
For calculating decision variable, i.e. three kinds of policy making steps are shown in (8) extremely to the specific formula for calculation of 6 ecological index (13), DO, TN, NH3- N, and TP unit of account is mg/L;
F (DO)=0.15* (0.0817xCW+0.0729xEFP+0.07995xLUR) (8)
F (TN)=- 0.15* (- 0.4366xCW+0.02511xLUR) (9)
f(NH3- N)=- 0.1* (- 0.774xCW-0.3455xEFP+0.02382xLUR) (10)
F (TP)=- 0.2* (- 0.988xCW-0.02415xLUR) (11)
F (FS)=0.2*0.5xCW (12)
F (BDI)=0.2*0.5xEFP (13)
The repairing effect of environmental health is the sum of every ecological index improved values:
F1 (x)=f (DO)+f (TN)+f (NH3-N)+f(TP)+f(FS)+f(BDI) (14)
2. socioeconomic impact object function:
Wherein, Bi is reclamation activities i economic benefit;Ci is reclamation activities i implementation cost.
The implementation cost of restoration of the ecosystem, calculation formula are:
F (cost)=19.85xCW+2.38xEFP+24xLUR (16)
The economic results in society of restoration of the ecosystem, calculation formula are:
F (benefits)=18xEFP+88.13xLUR (17)
F2 (x)=f (benefits)-f (cost) (18)
The purpose of Model for Multi-Objective Optimization proposed by the present invention is to find maximumlly repair object function f1 (x) and f2 (x) Multiple combined measure scheme policies.
3. constraints:
The artificial swamp scale that the present embodiment intends application need to meet that river width is more than 40m (table 2), according to on-site inspection and remote sensing Data are interpreted, suitably build the section of artificial swamp as at 20, therefore constrain inequality and be:
xcw≤20; (19)
The ecological fish pond scale that the present embodiment intends application need to meet section 70 × 100m of minimum water surface area (table 2), according to On-site inspection and remote Sensing Interpretation data, the section in ecological fish pond is suitably built as at 10, therefore constrain inequality and be:
xEFP≤10; (20)
The land use transformation maximum-norm that the present embodiment intends application is no more than original bare area or nonirrigated farmland area (table 2), According to on-site inspection and remote Sensing Interpretation data, constraint inequality is:
xLUR≤43; (21)
The decision variable of three of the above measure need to meet for integer:
xcw, xEFP, xLUR∈ integers; (22)
To illustrate that financial budget limits the influence to restoration of the ecosystem policy development, the present embodiment is set according to Taizihe River drainage characteristics Restoration of the ecosystem cost is limited to 5,000,000 yuan, and constraints inequality is:
Ci≤5,000,000 yuan; (23)
The multiple-objection optimization that the present embodiment proposes solves and scans for solving using leash law, by socioeconomic impact target Function f2 (x) binding occurrence, by MicrosoftExcel programming evaluation instrument, solves as one of constraints and meets life The optimization disaggregation of state health objectives function f1 (x) optimal values, using nonlinear algorithm (Generalized Reduced Gradient, GRG) scan for (Fig. 2).
The restoration of the ecosystem measure details of table 2
Step 4: assembled scheme is selected on demand
The Pareto optimization disaggregation that gained is solved to Model for Multi-Objective Optimization that the present embodiment proposes includes a series of gradients The target function value of change and its corresponding assembled scheme (Fig. 3);
Optimization disaggregation to step 3 search finding carries out list information explanation (table 3);
Table 3 restoration of the ecosystem multiple-objection optimization Pareto disaggregation (few examples, seeing Fig. 3) list information explanation
Restoration of the ecosystem policy development policymaker according to demand, including budget limit and repairs target etc., selects optimal reparation Combined measure scheme.
Obviously, above-described embodiment is only intended to clearly illustrate example, and is not the restriction to embodiment.It is right For those of ordinary skill in the art, can also make on the basis of the above description it is other it is various forms of change or Change, and among the obvious changes or variations thus extended out is still in the protection domain of the invention.

Claims (9)

1. the method for decision analysis of river basin ecological correcting strategy, it is characterised in that:It comprises the following steps:
Step 1: establishing basin water ecological security assessment indicator system, and restoration of the ecosystem target is set according to it;
Step 2: repairing target according to river basin ecological, restoration of the ecosystem measure is screened;
Step 3: structure includes the restoration of the ecosystem Model for Multi-Objective Optimization of decision variable, object function and constraints;
Step 4: solving Model for Multi-Objective Optimization, restoration of the ecosystem assembled scheme is selected on demand.
2. the method for decision analysis of river basin ecological correcting strategy according to claim 1, it is characterised in that:In step 1 In, when establishing basin water ecological security assessment indicator system, from Ecology pressure (pressure), Ecology state (state), Four aspects of ecological functions (function) and response characteristic (response) choose evaluation index, build pressure-state-work( Energy-response PSFR evaluation models.
3. the method for decision analysis of river basin ecological correcting strategy according to claim 2, it is characterised in that:Carrying out basin When hydro-ecological safety is evaluated, watershed carries out watershed partitioning extraction on the basis of digital elevation dem data, using sub-basin as base This evaluation unit;Land use, pollutant emission, yearbook statistics, the report of ring system in sub-basin, water quality parameter, fish Data collection and on-site inspection are carried out with data parameters such as macrobenthos states, obtains specific targets parameter.
4. the method for decision analysis of river basin ecological correcting strategy according to claim 3, it is characterised in that:Establish structure pressure During power-state-function-response PSFR evaluation models, it comprises the following steps:
S1, indices initial data is standardized;
S2, reflect an individual relative importance of the evaluation index in basin water ecological security appraisement system using index weights;
S3, pass through evaluation index weighted sum, calculating integrating index ESI scores, with the water that the index assessment basin is overall Ecological security situation.
5. the method for decision analysis of river basin ecological correcting strategy according to claim 4, it is characterised in that:In step S1 In, for positive index, data are standardized by the following method:
<mrow> <mi>S</mi> <mi>i</mi> <mo>=</mo> <mfrac> <mrow> <mi>X</mi> <mi>i</mi> <mo>-</mo> <mi>X</mi> <mi>min</mi> </mrow> <mrow> <mi>X</mi> <mi>max</mi> <mo>-</mo> <mi>X</mi> <mi>min</mi> </mrow> </mfrac> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>1</mn> <mo>)</mo> </mrow> </mrow>
For negative sense index, data are standardized by the following method:
<mrow> <mi>S</mi> <mi>i</mi> <mo>=</mo> <mfrac> <mrow> <mi>X</mi> <mi>max</mi> <mo>-</mo> <mi>X</mi> <mi>i</mi> </mrow> <mrow> <mi>X</mi> <mi>max</mi> <mo>-</mo> <mi>X</mi> <mi>min</mi> </mrow> </mfrac> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>2</mn> <mo>)</mo> </mrow> </mrow>
In the formula of above-mentioned (1) and (2):Si is the standardized value of i indexs, and Xi is the original value of i indexs, and Xmax, Xmin are respectively that i refers to It is marked on maximum and minimum value in evaluation region.
6. the method for decision analysis of river basin ecological correcting strategy according to claim 4, it is characterised in that:In step S2 In, the preliminary weight Wj ' formulas (3-5) of every evaluation index are determined using VC Method;
Calculate standard deviation:
<mrow> <mi>S</mi> <mi>D</mi> <mo>=</mo> <msqrt> <mrow> <mfrac> <mn>1</mn> <mi>m</mi> </mfrac> <msubsup> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>m</mi> </msubsup> <msup> <mrow> <mo>(</mo> <msub> <mi>S</mi> <mrow> <mi>i</mi> <mi>j</mi> </mrow> </msub> <mo>-</mo> <msup> <mi>S</mi> <mo>&amp;prime;</mo> </msup> <mo>)</mo> </mrow> <mn>2</mn> </msup> </mrow> </msqrt> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>3</mn> <mo>)</mo> </mrow> </mrow>
The coefficient of variation is obtained according to average and standard deviation:
<mrow> <mi>V</mi> <mi>j</mi> <mo>=</mo> <mfrac> <mrow> <mi>S</mi> <mi>D</mi> </mrow> <msup> <mi>S</mi> <mo>&amp;prime;</mo> </msup> </mfrac> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>4</mn> <mo>)</mo> </mrow> </mrow>
Preliminary weight is calculated according to the coefficient of variation:
<mrow> <msup> <mi>Wj</mi> <mo>,</mo> </msup> <mo>=</mo> <mfrac> <msub> <mi>V</mi> <mi>j</mi> </msub> <mrow> <msubsup> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </msubsup> <msub> <mi>V</mi> <mi>j</mi> </msub> </mrow> </mfrac> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>5</mn> <mo>)</mo> </mrow> <mo>;</mo> </mrow> 1
Then expert's differentiation, document are carried out and is investigated on the spot, adjustment member index weights.
7. the method for decision analysis of river basin ecological correcting strategy according to claim 6, it is characterised in that:In step S3 In,
<mrow> <mi>E</mi> <mi>S</mi> <mi>I</mi> <mo>=</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mrow> <mi>i</mi> <mo>=</mo> <mn>23</mn> </mrow> </munderover> <msub> <mi>W</mi> <mi>i</mi> </msub> <msub> <mi>Y</mi> <mi>i</mi> </msub> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>6</mn> <mo>)</mo> </mrow> </mrow>
Wherein, ESI is ecological safety comprehensive index;Wi is the weight of i-th of index, and Yi is index score;
After step S3, pertinent literature is consulted, the hydro-ecological safety state grade criteria for classifying is determined according to table 1:
According to the hydro-ecological safety evaluation result of pressure-state-function-response PSFR evaluation models, river basin ecological reparation is set up Target.
8. the method for decision analysis of river basin ecological correcting strategy according to claim 6, it is characterised in that:In step 3 In,
Using reclamation activities as decision variable, object function is established;
Limited according to minimum the implementation unit condition and financial budget of drainage characteristics, reclamation activities, establish constraint function;
Model for Multi-Objective Optimization is solved using leash law:Choose the binding occurrences of one or more object functions as constraints it One, the optimization disaggregation for meeting another object function optimal value is solved, nonlinear algorithm is chosen and scans for calculating.
9. the method for decision analysis of river basin ecological correcting strategy according to claim 8, it is characterised in that:In step 4 In, Model for Multi-Objective Optimization is solved to obtain including the target function value and its corresponding assembled scheme of a series of gradient distributions Pareto (Pareto) optimization disaggregation, list information explanation is carried out to Pareto optimization disaggregation, policymaker selects according to demand Optimal reclamation activities assembled scheme.
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Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107862484A (en) * 2017-12-08 2018-03-30 安徽金联地矿科技有限公司 Ecological restoration of mine scheme based on Mine ecology detection instructs system
CN108416113A (en) * 2018-02-08 2018-08-17 中国石油大学(华东) CCUS whole process cooperative optimization methods based on carbon dioxide enriched rate
CN108647873A (en) * 2018-05-03 2018-10-12 佛山科学技术学院 A kind of Water Functional Zone water quality and quantity evaluation decision-making technique and device
CN111523709A (en) * 2020-04-10 2020-08-11 湘潭大学 Method for evaluating and optimizing policy influence on forbidden plastic drinking water bottle
CN111539580A (en) * 2020-04-30 2020-08-14 上海市园林科学规划研究院 Multi-scheme optimization method for urban greening ecological technology integration application
CN112330081A (en) * 2020-08-05 2021-02-05 辽宁省生态环境保护科技中心 Watershed treatment effect evaluation method based on water ecological environment function partition unit
US11591762B2 (en) * 2019-03-28 2023-02-28 China Waterborne Transport Research Institute Method for tracking, monitoring and evaluating ecological impact of channel project based on long-term time series satellite remote sensing data
CN116011745A (en) * 2022-12-20 2023-04-25 速度时空信息科技股份有限公司 Ecological restoration scheme optimization method and system based on cloud service

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5757665A (en) * 1996-06-04 1998-05-26 The United States Of America As Represented By The Secretary Of The Army Riverine community habitat assessment and restoration methodlogy
CN101799846A (en) * 2010-01-14 2010-08-11 南京大学 Multi-objective groundwater remediation optimization method
CN106529166A (en) * 2016-11-04 2017-03-22 河海大学 Method for regional water-source optimized configuration based on MAEPSO algorithm

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5757665A (en) * 1996-06-04 1998-05-26 The United States Of America As Represented By The Secretary Of The Army Riverine community habitat assessment and restoration methodlogy
CN101799846A (en) * 2010-01-14 2010-08-11 南京大学 Multi-objective groundwater remediation optimization method
CN106529166A (en) * 2016-11-04 2017-03-22 河海大学 Method for regional water-source optimized configuration based on MAEPSO algorithm

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
张远等: ""流域水生态安全评估方法"", 《环境科学研究》 *
颜昌宙等: ""多目标决策分析模型在湖泊生态工程规划中的应用"", 《环境科学研究》 *

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CN108416113A (en) * 2018-02-08 2018-08-17 中国石油大学(华东) CCUS whole process cooperative optimization methods based on carbon dioxide enriched rate
CN108647873A (en) * 2018-05-03 2018-10-12 佛山科学技术学院 A kind of Water Functional Zone water quality and quantity evaluation decision-making technique and device
US11591762B2 (en) * 2019-03-28 2023-02-28 China Waterborne Transport Research Institute Method for tracking, monitoring and evaluating ecological impact of channel project based on long-term time series satellite remote sensing data
CN111523709A (en) * 2020-04-10 2020-08-11 湘潭大学 Method for evaluating and optimizing policy influence on forbidden plastic drinking water bottle
CN111539580A (en) * 2020-04-30 2020-08-14 上海市园林科学规划研究院 Multi-scheme optimization method for urban greening ecological technology integration application
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CN116011745B (en) * 2022-12-20 2024-02-13 速度科技股份有限公司 Ecological restoration scheme optimization method and system based on cloud service

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