Multi-objective optimal configuration method and system for drainage right of drainage basin

Abstract

The invention discloses a drainage basin emission right multi-objective optimization configuration method and system, and relates to the technical field of pollution management. Comprising the steps of obtaining Yellow River upstream and midstream drainage basin data, preprocessing the Yellow River upstream and midstream drainage basin data to form a preprocessing data set, constructing a drainage basin discharge right multi-target optimization configuration model based on the preprocessing data set, and solving the drainage basin discharge right multi-target optimization configuration model by using a multi-target intelligent algorithm non-dominated sorting genetic algorithm II. And obtaining a plurality of optimization schemes, selecting an optimal scheme in the plurality of optimization schemes by using a multi-standard decision method, taking the optimal scheme as a drainage basin pollution discharge right configuration scheme, and determining an optimal mode of drainage basin pollution discharge right transaction of the upper and middle swimming of the Yellow River based on the drainage basin pollution discharge right configuration scheme. The drainage right utilization efficiency and benefit can be improved, and the guarantee capability of drainage right elements for high-quality development of the drainage area is enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of pollution management, and in particular to a multi-objective optimal allocation method and system for basin pollution discharge rights. Background Art

[0002] The current research on the optimal allocation model of pollution discharge rights mainly focuses on the initial allocation of pollution discharge rights. In view of the current situation of water resource shortage in the upper and middle reaches of the Yellow River, a large number of basin emission sources, significant differences in pollution discharge amounts, obvious differences in the total amount of allocable pollution discharge rights in different river sections and different seasons, large economic and social development demands, and unbalanced regional development, etc., how to balance the requirements of water environment and economic and social development demands, establish a scientific and reasonable multi-objective optimal allocation model of pollution discharge rights, and thus explore the best mode of basin pollution discharge rights trading, no relevant research results have been published yet. Therefore, providing a multi-objective optimal allocation method and system for basin pollution discharge rights to solve the difficulties existing in the prior art is an urgent problem for those skilled in the art. Summary of the Invention

[0003] In view of this, the present invention provides a multi-objective optimal allocation method and system for basin pollution discharge rights, which can improve the utilization efficiency and benefit of basin pollution discharge rights and enhance the guarantee ability of pollution discharge right elements for the high-quality development of basin areas.

[0004] In order to achieve the above object, the present invention adopts the following technical solutions:

[0005] A multi-objective optimal allocation method for basin pollution discharge rights includes the following steps:

[0006] Obtain the data of the upper and middle reaches of the Yellow River, and preprocess the data of the upper and middle reaches of the Yellow River to form a preprocessed data set;

[0007] Construct a multi-objective optimal allocation model for basin pollution discharge rights based on the preprocessed data set;

[0008] Use the multi-objective intelligent algorithm Non-dominated Sorting Genetic Algorithm II to solve the multi-objective optimal allocation model of basin pollution discharge rights to obtain multiple optimization schemes;

[0009] Use the multi-criteria decision-making method to select the optimal scheme from multiple optimization schemes and use it as the basin pollution discharge right allocation scheme;

[0010] Determine the best mode of basin pollution discharge rights trading based on the basin pollution discharge right allocation scheme.

[0011] Optionally, constructing a multi-objective optimal allocation model for basin pollution discharge rights includes setting an objective function, decision variables, and constraint conditions.

[0012] Optionally, setting the objective function includes a function for maximizing the economic benefit of unit pollution discharge right of pollutants, a function for maximizing the fairness of pollutant pollution discharge right use, and a function for optimizing water quality.

[0013] Optionally, the set constraints include: constraints on the pollutant discharge right trading rules, constraints on the water quality requirements of the river basin, and constraints on the economic costs.

[0014] Optionally, the set river basin pollutant discharge right allocation scheme includes: based on the weights set for the economic development and social fairness goals in each region and different scenarios of the dry season and wet season in the river basin, combined with the multi-criteria decision-making method to select the optimal river basin pollutant discharge right allocation scheme.

[0015] A multi-objective optimal allocation system for river basin pollutant discharge rights, which executes a multi-objective optimal allocation method for river basin pollutant discharge rights described in any one of the above, includes a data acquisition module, a model construction module, a model solution module, an optimal selection module, and a trading determination module connected in sequence;

[0016] Data acquisition module: Acquire the data of the upper and middle reaches of the Yellow River, and preprocess the data of the upper and middle reaches of the Yellow River to form a preprocessed data set;

[0017] Model construction module: Based on the preprocessed data set, construct a multi-objective optimal allocation model for river basin pollutant discharge rights;

[0018] Model solution module: Use the multi-objective intelligent algorithm Non-dominated Sorting Genetic Algorithm II to solve the multi-objective optimal allocation model for river basin pollutant discharge rights, and obtain multiple optimization schemes;

[0019] Optimal selection module: Use the multi-criteria decision-making method to select the optimal scheme among multiple optimization schemes, and take it as the river basin pollutant discharge right allocation scheme;

[0020] Trading determination module: Based on the river basin pollutant discharge right allocation scheme, determine the best mode of river basin pollutant discharge right trading in the upper and middle reaches of the Yellow River.

[0021] It can be seen from the above technical solutions that, compared with the prior art, the present invention provides a multi-objective optimal allocation method and system for river basin pollutant discharge rights, and has the following beneficial effects: The present invention can scientifically and reasonably establish a multi-objective optimal allocation model for river basin pollutant discharge rights under multiple constraints such as society, economy, and environment, determine the best mode of river basin pollutant discharge right trading in the upper and middle reaches of the Yellow River, improve the utilization efficiency and benefit of river basin pollutant discharge rights, and enhance the guarantee ability of pollutant discharge right elements for the high-quality development of river basin areas. Description of the Drawings

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only the embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained according to the provided drawings without creative efforts.

[0023] Figure 1 Flow chart of a multi-objective optimal allocation method for basin pollution discharge rights disclosed by the present invention;

[0024] Figure 2 Block diagram of a multi-objective optimal allocation system for basin pollution discharge rights disclosed by the present invention. Specific implementation manners

[0025] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0026] Referring to Figure 1 as shown, the present invention discloses a multi-objective optimal allocation method for basin pollution discharge rights, including the following steps:

[0027] Obtain the data of the upper and middle reaches of the Yellow River, and preprocess the data of the upper and middle reaches of the Yellow River to form a preprocessed data set;

[0028] Construct a multi-objective optimal allocation model for basin pollution discharge rights based on the preprocessed data set;

[0029] Use the multi-objective intelligent algorithm non-dominated sorting genetic algorithm II to solve the multi-objective optimal allocation model for basin pollution discharge rights to obtain multiple optimization schemes;

[0030] Use the multi-criteria decision-making method to select the optimal scheme among the multiple optimization schemes and use it as the basin pollution discharge right allocation scheme;

[0031] Determine the best mode of basin pollution discharge right trading in the upper and middle reaches of the Yellow River based on the basin pollution discharge right allocation scheme.

[0032] Furthermore, constructing a multi-objective optimal allocation model for basin pollution discharge rights includes setting an objective function, decision variables, and constraint conditions.

[0033] Furthermore, in view of the weak environmental background in the upper and middle reaches of the Yellow River, the large demand for basin economic development, and the unbalanced and insufficient development of each region, an objective function is set, including the function of maximizing the economic benefit of unit pollution discharge rights, the function of maximizing the fairness of pollution discharge right use, and the function of optimal water quality.

[0034] Furthermore, in the function of maximizing the economic benefit of unit pollution discharge rights, first determine the economic benefit of unit pollution discharge rights. The economic benefit of unit pollution discharge rights can be described as the ratio of the total economic benefit of each economic sector to the total amount of pollution discharge rights, and the expression is:

[0035]

[0036] Among them, AEP i is the economic benefit of unit pollution discharge right of pollutant i, and Ep i,j is the economic benefit of economic sector j discharging pollutant i, and TEP i is the total pollution discharge right of pollutant i; then, for the convenience of calculation, it is assumed that the pollution discharge right trading price is based on the benchmark price of paid use of pollution discharge rights determined in each region, and the corresponding expression is:

[0037]

[0038] Among them, P j is the unit price of the product of sector j, PC j is the raw material price of sector j, Q j is the quantity of the product of sector j, PO j is the operating cost of sector j, PI j is the investment cost of the facilities related to sector j, μ is the facility depreciation coefficient, and PE i is the benchmark price of pollution discharge right trading of pollutant i, Tin i,j is the initial pollution discharge right quantity of pollutant i of sector j, and T i,j is the quantity of pollution discharge right of pollutant i traded by sector j; finally, the function to maximize the economic benefit of unit pollution discharge right is obtained as:

[0039]

[0040] Furthermore, the Gini coefficient is often used to measure the fairness of resource allocation, such as unequal distribution of income distribution, land and water resource utilization, etc. The smaller the Gini coefficient, the fairer the resource allocation. The fairness maximization function of pollutant pollution discharge right use selects the Gini coefficient to measure the fairness of pollutant pollution discharge right allocation and use in the basin. The best method to measure the Gini coefficient will refer to existing research. The value of the Gini coefficient takes the "relative mean difference", that is, the difference between any pair of individuals y a and y b divided by the average value y, and the corresponding expression is:

[0041]

[0042] Among them, Gini is the Gini coefficient, T is the total number of all individuals, and y a and y b represent the total economic benefits EP a and EP b of each department in regions a and b respectively, y represents the average economic benefit of all regions in the basin, and T is equal to the total number of regions N in the basin. The fairness maximization function of pollutant pollution discharge right use finally obtained is:

[0043]

[0044] Furthermore, in the water quality optimization function, the maximum remaining amount of the basin water environment capacity is used as the characterization method of optimal water quality, and the expression is:

[0045]

[0046] Among them, WEC is the remaining amount of the basin water environment capacity, W is the total allowable pollutant discharge amount of the basin, W ij is the pollutant discharge amount of the emission source j in the i-th functional area, n i is the number of emission sources in the i-th functional area, and m is the number of water function areas in the basin.

[0047] Furthermore, according to the actual situation of the upper and middle reaches of the Yellow River basin, constraint conditions are set, including: constraints on the pollutant emission rights trading rules, constraints on the basin water quality requirements, and constraints on the economic cost.

[0048] Furthermore, the constraint on the pollutant emission rights trading rules is that the pollutant emission rights of characteristic pollutants sold by each economic department shall not be greater than its total emission rights, and the expression is:

[0049]

[0050] Among them, T ini,c is the initial emission right of pollutant i of department c, is the emission right purchased by department c from department d, is the trading ratio of the emission right of pollutant i purchased by department c from department d, is the emission right of pollutant i sold by department c to department d.

[0051] Furthermore, the constraint on the basin water quality requirements is that the total reallocated pollutant discharge amount shall not exceed the permitted discharge amount of pollutants into the river, and the corresponding expression is:

[0052] RT EPi ≤Q e (C i,e,s -C i,e,0 ),

[0053] Among them, RT EPi is the emission right of pollutant i reconfigured after the pollutant emission rights trading, Q e is the water volume of basin e, C i,e,s is the water quality control target of pollutant i in basin e, C i,e,0 is the concentration contribution value of the upper reaches of the river to basin e.

[0054] Furthermore, the constraint on the economic cost is that the expenditure of the economic department on purchasing emission rights should be less than its pollution control cost, and the corresponding expression is:

[0055]

[0056] Among them, P m and P j are the costs for economic sectors m and j to reduce the amount of pollutant i per unit respectively, and AEP i is the economic benefit of the emission of pollutant i per unit.

[0057] Furthermore, the setting of the basin pollution rights allocation plan includes: based on the weights set by each region for the goals of economic development and social fairness, as well as different scenarios in the dry season and wet season of the basin, the optimal basin pollution rights allocation plan is selected by combining the multi-criteria decision-making method.

[0058] A multi-objective optimal allocation system for basin pollution rights executes the multi-objective optimal allocation method for basin pollution rights described in any one of the above, as shown in reference to Figure 2 and includes a data acquisition module, a model construction module, a model solution module, an optimal selection module, and a transaction determination module connected in sequence;

[0059] Data acquisition module: Acquire the data of the upper and middle reaches of the Yellow River, and preprocess the data of the upper and middle reaches of the Yellow River to form a preprocessed data set;

[0060] Model construction module: Based on the preprocessed data set, construct a multi-objective optimal allocation model for basin pollution rights;

[0061] Model solution module: Use the multi-objective intelligent algorithm non-dominated sorting genetic algorithm II to solve the multi-objective optimal allocation model for basin pollution rights, and obtain multiple optimization plans;

[0062] Optimal selection module: Use the multi-criteria decision-making method to select the optimal plan from multiple optimization plans and use it as the basin pollution rights allocation plan;

[0063] Transaction determination module: Based on the basin pollution rights allocation plan, determine the best mode of basin pollution rights trading in the upper and middle reaches of the Yellow River.

[0064] In a specific embodiment, the present application uses the relatively mature multi-objective intelligent algorithm non-dominated sorting genetic algorithm II (NSGA-II) to solve the basin pollution rights optimization allocation model, and intends to use Matlab for simulation implementation. For the multiple optimization plans calculated by NSGA-II, according to the weights set by each region for the goals of economic development and social fairness, as well as different scenarios in the dry season and wet season of the basin, the widely used multi-criteria decision-making method such as TOPSIS is used to select the optimal basin pollution rights allocation plan, so as to determine the best mode of basin pollution rights trading in the upper and middle reaches of the Yellow River.

[0065] The foregoing description of the disclosed embodiments enables those skilled in the art to practice or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A multi-objective optimal allocation method for basin pollution discharge rights, characterized in that It includes the following steps: Obtain the data of the upper and middle reaches of the Yellow River, and preprocess the data of the upper and middle reaches of the Yellow River to form a preprocessed data set; Construct a multi-objective optimization allocation model for basin pollution rights based on the preprocessed data set; Use the multi-objective intelligent algorithm Non-dominated Sorting Genetic Algorithm II to solve the multi-objective optimization allocation model for basin pollution rights, and obtain multiple optimization schemes; Use the multi-criteria decision-making method to select the optimal scheme from multiple optimization schemes and use it as the basin pollution right allocation scheme; Determine the best mode of basin pollution right trading in the upper and middle reaches of the Yellow River based on the basin pollution right allocation scheme.

2. The multi-objective optimization allocation method for basin pollution rights according to claim 1, characterized in that Constructing a multi-objective optimization allocation model for basin pollution rights includes setting objective functions, decision variables, and constraint conditions.

3. The multi-objective optimization allocation method for basin pollution rights according to claim 2, characterized in that Setting the objective function includes the maximum economic benefit function of unit pollution rights of pollutants, the maximum fairness function of the use of pollution rights of pollutants, and the optimal water quality function.

4. The multi-objective optimization allocation method for basin pollution rights according to claim 2, characterized in that Setting the constraint conditions includes: constraints on pollution right trading rules, constraints on basin water quality requirements, and constraints on economic costs.

5. The multi-objective optimization allocation method for basin pollution rights according to claim 1, characterized in that Setting the basin pollution right allocation scheme includes: based on the weights set by each region for the goals of economic development and social fairness, and different scenarios of the dry season and wet season of the basin, combined with the multi-criteria decision-making method to select the optimal basin pollution right allocation scheme.

6. A multi-objective optimal allocation system for basin pollution discharge rights, which is used to execute the multi-objective optimal allocation method for basin pollution discharge rights according to any one of claims 1-5, and is characterized in that, It includes a data acquisition module, a model construction module, a model solution module, an optimal selection module, and a trading determination module connected in sequence; Data acquisition module: Obtain the data of the upper and middle reaches of the Yellow River, and preprocess the data of the upper and middle reaches of the Yellow River to form a preprocessed data set; Model construction module: Construct a multi-objective optimization allocation model for basin pollution rights based on the preprocessed data set; Model solution module: Use the multi-objective intelligent algorithm Non-dominated Sorting Genetic Algorithm II to solve the multi-objective optimization allocation model for basin pollution rights, and obtain multiple optimization schemes; Optimal selection module: Use the multi-criteria decision-making method to select the optimal scheme from multiple optimization schemes and use it as the basin pollution right allocation scheme; Trading determination module: Determine the best mode of basin pollution right trading in the upper and middle reaches of the Yellow River based on the basin pollution right allocation scheme.

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