Method, system, electronic device and storage medium for optimizing water and soil resource allocation in river basins

Abstract

The present invention provides a method, system, electronic device and storage medium for optimizing the allocation of water and soil resources in a basin, belonging to the technical field of optimizing the allocation of water and soil resources. The method includes: determining the basic allocation units for optimizing the allocation of water and soil resources in the basin; determining the objective function for optimizing the allocation of water and soil resources in the basin; determining the constraint conditions for optimizing the allocation of water and soil resources in the basin; and calculating the optimal allocation result of water and soil in the basin by using a multi-objective optimization algorithm according to the objective function and the constraint conditions, so as to complete the optimization of the allocation of water and soil resources. The present invention incorporates land resources into the traditional water resource allocation, realizes the optimization of water and soil resources under the mutual influence of land resources, and at the same time spreads the optimized allocation result of land resources to the entire basin, providing technical support for the construction of ecological civilization in the basin and the construction of the "mountain, water, forest, field, lake, grass and sand" community with a shared future for mankind.

Description

Technical Field

[0001] The present invention belongs to the technical field of optimal allocation of water and soil resources, and particularly relates to a method, a system, an electronic device and a storage medium for optimal allocation of water and soil resources in a basin. Background Art

[0002] With the rapid development of the current social economy, people's requirements for the ecological environment are also getting higher and higher. The contradiction between water and land use for social development and water and land use for ecology is intensifying day by day, affecting the sustainable development of society. To ensure the sustainable development of human society and economy and create a livable living environment, it is necessary to reasonably optimize the allocation of water and soil resources to meet the needs of the sustainable development of human society.

[0003] At present, a large number of studies have been carried out on the optimal allocation of water resources and the optimal allocation of land resources at home and abroad. The optimal allocation of water resources ranges from large basins to small farmlands, while the optimal allocation of land resources mainly focuses on farmlands. There are relatively few studies on the optimal allocation of water and soil resources from the perspective of basins. In view of the above deficiencies, a multi-objective optimal allocation method of water and soil resources at the basin scale is constructed to supplement and expand the technical support system for the construction of basin ecological civilization. Summary of the Invention

[0004] In view of the above deficiencies in the prior art, the present invention provides a method, a system, an electronic device and a storage medium for optimal allocation of water and soil resources in a basin, which can optimize the allocation of water and soil resources in the basin from the perspective of the basin and provide technical support for the construction of basin ecological civilization.

[0005] In order to achieve the above object, the technical solution adopted by the present invention is as follows:

[0006] The present solution provides a method for optimal allocation of water and soil resources in a basin, including the following steps:

[0007] S1. Determine the basic allocation unit for optimal allocation of water and soil resources in the basin;

[0008] S2. According to the basic allocation unit for optimal allocation of water and soil resources in the basin, determine the objective function for optimal allocation of water and soil resources in the basin;

[0009] S3. Determine the constraint conditions for optimal allocation of water and soil resources in the basin;

[0010] S4. According to the objective function and the constraint conditions, use a multi-objective optimization algorithm to calculate the optimal allocation result of water and soil in the basin, and complete the optimal allocation of water and soil resources in the basin.

[0011] The beneficial effects of the present invention are as follows: The present invention relates to a method for optimizing the allocation of water and soil resources oriented to "quantity-quality-efficiency-ecology", which utilizes a land use prediction model and a multi-objective optimization allocation model, and combines an optimization algorithm for solution. Finally, the areas and water consumption of different land use types in each sub-basin within the basin are obtained, and through the land use model for spatial distribution, the spatial distribution result of the optimized allocation of water and soil resources is obtained. The present invention incorporates land resources into the traditional water resource allocation, realizes the optimized allocation of water and soil resources under the mutual influence of land resources, and at the same time spreads the optimized allocation result of land resources to the entire basin, providing technical support for the construction of basin ecological civilization and the construction of the "mountain-water-forest-farm-lake-grass-sand" community with a shared future for mankind.

[0012] Further, the step S1 includes the following steps:

[0013] S101. Conduct a hydrological analysis based on the basin digital elevation model and the basin outlet point, and draw the sub-basins of the study area;

[0014] S102. Intersect the sub-basins with the administrative regions to obtain the basic units of sub-basins nested within administrative regions;

[0015] S103. Use the basic units of sub-basins nested within administrative regions to count the areas of different land types in this unit, and obtain the basic allocation units for the optimized allocation of water and soil resources in the basin.

[0016] The beneficial effects of the above further solution are as follows: Obtaining the sub-basins of the study area through hydrological analysis is conducive to conducting allocation research from the perspective of the basin's topography and landforms; through the intersection of sub-basins with administrative regions, it is conducive to considering both the basin's topography and landforms and administrative divisions during the allocation process; by counting the areas of different land use types within the sub-basins nested within administrative regions, the basic allocation units are further refined to the land use type scale, and finally the basic allocation units (sub-basin - administrative region - land use type) are obtained, which is conducive to conducting allocation from three perspectives: the basin, the administrative region, and the land use type, comprehensively considering these three aspects, so that the allocation result takes into account both water resources and land resources, and realizes the joint allocation of water and soil resources.

[0017] Still further, the expression of the objective function for the optimized allocation of water and soil resources in the step S2 is as follows:

[0018]

[0019]

[0020]

[0021]

[0022]

[0023]

[0024]

[0025] H ij (X) = -P ij ×LnP ij

[0026]

[0027]

[0028]

[0029] HH ij (Y) = -PP ij ×LnPP ij

[0030]

[0031] Among them, minF1(w, L), minF2(w, L), minF3(w, L), minF4(L) and maxF5(w, L) represent the minimum objective function of the total water shortage in the basin, the minimum objective function of the total pollutant emissions, the minimum objective function of the water consumption per 10,000 yuan of output value, the maximum objective function of the net primary productivity, and the maximum function of the Gini coefficient of the water and soil resources allocation respectively. w ijk represents the water demand of the j-th land use type in the i-th basic configuration unit for the k-th water source. L ij represents the area of the j-th land use type in the i-th basic configuration unit. G ik represents the available water supply of the k-th water source in the i-th basic configuration unit. β represents the point source and non-point source pollution discrimination coefficient, and its value is 0 or 1. 1 represents point source pollution, and 0 represents non-point source pollution. e ij represents the pollutant concentration in the wastewater discharged from the j-th land use type in the i-th basic configuration unit. p ij represents the sewage discharge coefficient of the j-th land use type in the i-th basic configuration unit. A ij represents the pollutant load of the j-th land use type in the i-th basic configuration unit. g i represents the GDP output value of the i-th basic configuration unit. n represents the total number of configuration units, p represents the total number of land use types, m represents the total number of water sources, NPP ij represents the net primary productivity of the j-th land use type in the i-th basic configuration unit. represents the Gini coefficient of the water and soil resources matching of the k-th water source in the basin. x ijRepresents the cumulative proportion of the balance degree of the j-th land use type in the i-th basic configuration unit, y ij Represents the cumulative proportion of the balance degree of water consumption of the j-th land use type in the i-th basic configuration unit, x ij and y ij Constitute the spatial Lorenz curve, u represents the cumulative number of configuration units, J ij Represents the cumulative structural balance degree of the j-th land use type in the i-th basic configuration unit, H ij Represents the structural information entropy of the j-th land use type in the i-th basic configuration unit, H ijmax Represents the maximum structural information entropy of all land use types in all configuration units, Ln represents taking the natural logarithm, H ij (X) represents the structural information entropy of the j-th land use type in the i-th basic configuration unit, P ij Represents the total area proportion of the j-th land use type in the i-th basic configuration unit, JJ uj Represents the cumulative water consumption balance degree of the j-th land use type in the i-th basic configuration unit, JJ ij Represents the water consumption balance degree of the j-th land use type in the i-th basic configuration unit, HH ij Represents the water quantity information entropy of the j-th land use type in the i-th basic configuration unit, HH ijmax Represents the maximum water quantity information entropy of all land use types in all configuration units, HH ij (Y) represents the water quantity information entropy of the j-th land use type in the i-th basic configuration unit, PP ij Represents the proportion of the water consumption of the j-th land use type in the i-th basic configuration unit to the total water consumption of the j-th land use type in the whole basin.

[0032] The beneficial effects of the above further scheme are as follows: Establishing a multi-objective function from five aspects of water quantity, water quality, water use efficiency, ecology, and spatial matching degree of water and soil resources is conducive to making the configuration results consider more comprehensive factors and conform to the actual development needs, and avoids the problem of incomplete consideration factors in the configuration results caused by the optimality of a single objective.

[0033] Furthermore, the expression of the constraint condition in step S3 is as follows:

[0034]

[0035]

[0036]

[0037]

[0038]

[0039] Among them, n represents the total number of configuration units, m represents the total number of land use types, G ik represents the available water supply of the k-th water source in the i-th basic configuration unit, W k (p) represents the total available water resources of the k-th water source when the water inflow frequency is p, S ik represents the actual water supply of the k-th water source in the i-th basic configuration unit, w ijk represents the water demand of the j-th land use type in the i-th basic configuration unit for the k-th water source. β represents the point-source and non-point-source pollution discrimination coefficient, with a value of 0 or 1. 1 represents point-source pollution, and 0 represents non-point-source pollution, e ij represents the pollutant concentration in the wastewater discharged by the j-th land use type in the i-th basic configuration unit, p ij represents the sewage discharge coefficient of the j-th land use type in the i-th basic configuration unit, w ijk represents the water demand of the j-th land use type in the i-th basic configuration unit for the k-th water source, A ij represents the pollutant load of the j-th land use type in the i-th basic configuration unit, L ij represents the area of the j-th land use type in the i-th basic configuration unit, T i represents the total pollution absorption in the i-th basic configuration unit, A i represents the total area of the i-th basic configuration unit, Ldown j represents the lower boundary of the red line of the j-th land use type on the i-th basic configuration unit, Lup j represents the upper boundary of the j-th land use type in the i-th basic configuration unit for the basin.

[0040] The beneficial effects of the above further scheme are as follows: By establishing constraint conditions from three aspects: available water supply, pollution absorption capacity, and land use red line, it is beneficial to the rapid solution of the optimization calculation and makes the optimization result more reasonable, meeting the actual development needs, and having practical guiding significance for the basin planning and development.

[0041] Furthermore, the step S4 includes the following steps:

[0042] S401. Unify the objective function into the minimum optimal;

[0043] S402. Uniformly name the optimization variables by using the method of coding and naming;

[0044] S403. According to the constraint conditions, use the multi-objective optimization algorithm to calculate the water consumption of each configuration unit and the areas of various land use types;

[0045] S404. Input the water consumption of each configuration unit and the areas of various land use types into the FLUS model to obtain the optimal allocation result of water and soil in the basin, thus completing the optimal allocation of water and soil resources in the basin.

[0046] The beneficial effects of the above further solution are as follows: By unifying the objective function into the minimum optimum, it is conducive to optimizing the solution calculation; By uniformly naming the optimization changes in a coded naming manner, it is conducive to the input, output, and statistics of model data during the optimization solution process; Through the optimization solution calculation, it is conducive to obtaining the water consumption in each configuration unit and the areas of various land use types, providing data support for the spatial distribution of land use; Through the simulation calculation using the FLUS model, it is conducive to obtaining the spatial distribution of land use in the optimal allocation result of the basin.

[0047] The present invention provides a system for optimizing the allocation of water and soil resources in a basin, including:

[0048] A basic configuration unit determination module, used to determine the basic configuration units for optimizing the allocation of water and soil resources in the basin;

[0049] An objective function determination module, used to determine the objective function for optimizing the allocation of water and soil resources in the basin according to the basic configuration units for optimizing the allocation of water and soil resources in the basin;

[0050] A constraint condition determination module, used to determine the constraint conditions for optimizing the allocation of water and soil resources in the basin;

[0051] An optimal allocation result calculation module, used to calculate the optimal allocation result of water and soil in the basin according to the objective function and constraint conditions by using a multi-objective optimization algorithm, thus completing the optimal allocation of water and soil resources in the basin.

[0052] The beneficial effects of the present invention are as follows: The present invention relates to a method for optimizing the allocation of water and soil resources oriented to "quantity-quality-efficiency-ecology", which uses a land use prediction model and a multi-objective optimization allocation model, and combines an optimization algorithm for solution. Finally, the areas and water consumption of different land use types in each sub-basin within the basin are obtained, and the spatial distribution is carried out through the land use model to obtain the spatial distribution result of the optimal allocation of water and soil resources. The present invention incorporates land resources into the traditional water resource allocation, realizes the optimal allocation of water and soil resources under the mutual influence of land resources, and at the same time spreads the optimal allocation result of land resources to the entire basin, providing technical support for the construction of ecological civilization in the basin and the construction of the "mountain-water-forest-field-lake-grass-sand" community with a shared future for mankind.

[0053] The present invention provides an electronic device, including a memory, a processor, and a computer program stored on the memory and running on the processor. The processor executes the program to implement the method for optimizing the allocation of water and soil resources in the basin.

[0054] The present invention provides a computer-readable storage medium storing a computer program, which is executed by a processor to implement the method for optimizing the allocation of water and soil resources in a river basin as described above. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 It is a flowchart of the method of the present invention.

[0056] Figure 2 It is a network diagram of the water and soil resource system in the Sihe River Basin in this embodiment.

[0057] Figure 3 It is a schematic diagram of the optimized allocation result of the water and soil resources in the Sihe River Basin in this embodiment.

[0058] Figure 4 It is a spatial distribution map of the optimized allocation result of the Sihe River Basin in this embodiment.

[0059] Figure 5 It is a schematic diagram of the system structure of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0060] The following describes the specific embodiments of the present invention to facilitate those skilled in the art to understand the present invention. However, it should be clear that the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art, as long as various changes are within the spirit and scope of the present invention defined and determined by the appended claims, these changes are obvious, and all inventions and creations using the concept of the present invention are within the scope of protection.

[0061] Embodiment 1

[0062] Based on historical land use, topography, social and economic data, and water resource utilization, the present invention conducts water and soil resource prediction and uses it as a constraint condition, takes society, economy, environment, ecology, and spatial pattern as the objective function of the optimized allocation, and uses the NSGA-II optimization algorithm to perform optimization and solution to obtain the distribution of water and soil resources in each configuration unit within the river basin range. As Figure 1 shown, the present invention provides a method for optimizing the allocation of water and soil resources in a river basin, and its implementation method is as follows:

[0063] S1. Determine the basic configuration units for optimizing the allocation of water and soil resources in the river basin, and its implementation method is as follows:

[0064] S101. Conduct hydrological analysis based on the digital elevation model of the river basin and the outlet point of the river basin, and draw the sub-basins of the study area;

[0065] S102. Perform an intersection process on the sub-basins and administrative regions to obtain the basic units of sub-basins nested within administrative regions;

[0066] S103. Use the basic unit of sub - watershed nested in administrative region to count the areas of different land types in this unit, and obtain the basic configuration unit for the optimal allocation of water and soil resources in the watershed.

[0067] In this embodiment, based on the digital elevation model (DEM) of the watershed and the outlet of the watershed, use the tool (Hydrology) in ArcGIS software to conduct hydrological analysis and draw the sub - watersheds of the study area; intersect the obtained sub - watersheds with the administrative regions to obtain the basic unit of sub - watershed nested in administrative region; use the obtained basic unit of watershed nested in administrative region to count the areas of different land use types in this unit, and further obtain the basic configuration unit for the optimal allocation of water and soil resources (sub - watershed - administrative region - land use type), as Figure 2 shown.

[0068] S2. According to the basic configuration unit for the optimal allocation of water and soil resources in the watershed, determine the objective function for the optimal allocation of water and soil resources in the watershed. The objective function includes: the minimum total water shortage in the watershed (quantity), the minimum total pollutant emissions (quality), the minimum water consumption per 10,000 - yuan output value (efficiency), the maximum net primary productivity (production), and the maximum Gini coefficient of water and soil resources allocation. The calculations are as follows:

[0069]

[0070]

[0071]

[0072]

[0073]

[0074]

[0075]

[0076] H ij (X)= - P ij ×LnP ij

[0077]

[0078]

[0079]

[0080] HH ij (Y)= - PP ij ×LnPP ij

[0081]

[0082] Among them, minF1(w, L), minF2(w, L), minF3(w, L), minF4(L), and maxF5(w, L) represent the minimum objective function of the total water shortage in the basin, the minimum objective function of the total pollutant emissions, the minimum objective function of the water consumption per 10,000 yuan of output value, the maximum objective function of the net primary productivity, and the maximum function of the Gini coefficient of water and soil resources allocation, respectively. w ijk represents the water demand of the j-th land use type for the k-th water source in the i-th basic configuration unit, L ij represents the area of the j-th land use type in the i-th basic configuration unit, G ik represents the available water volume of the k-th water source in the i-th basic configuration unit. β represents the point-source and non-point-source pollution discrimination coefficient, and its value is 0 or 1. 1 represents point-source pollution, and 0 represents non-point-source pollution, e ij represents the pollutant concentration in the wastewater discharged from the j-th land use type in the i-th basic configuration unit, p ij represents the sewage discharge coefficient of the j-th land use type in the i-th basic configuration unit, A ij represents the pollutant load of the j-th land use type in the i-th basic configuration unit, g i represents the GDP output value of the i-th basic configuration unit. n represents the total number of configuration units, p represents the total number of land use types, m represents the total number of water sources, NPP ij represents the net primary productivity of the j-th land use type in the i-th basic configuration unit, represents the Gini coefficient of water and soil resources matching of the k-th water source in the basin, x ij represents the cumulative proportion of the equilibrium degree of the j-th land use type in the i-th basic configuration unit, y ij represents the cumulative proportion of the water consumption equilibrium degree of the j-th land use type in the i-th basic configuration unit, x ij and y ij constitute the spatial Lorenz curve. u represents the cumulative number of configuration units, J ij represents the cumulative structural equilibrium degree of the j-th land use type in the i-th basic configuration unit, H ij represents the structural information entropy of the j-th land use type in the i-th basic configuration unit, H ijmax represents the maximum structural information entropy of all land use types in all configuration units. Ln represents taking the natural logarithm, H ij (X) represents the structural information entropy of the j-th land use type in the i-th basic configuration unit, P ij represents the total area proportion of the j-th land use type in the i-th basic configuration unit, JJ ujDenote the cumulative water consumption balance degree of the j-th land use type in the i-th basic configuration unit, JJ ij Denote the water consumption balance degree of the j-th land use type in the i-th basic configuration unit, HH ij Denote the water quantity information entropy of the j-th land use type in the i-th basic configuration unit, HH ijmax Denote the maximum water consumption information entropy of all land use types in all configuration units, HH ij (Y) Denote the water consumption information entropy of the j-th land use type in the i-th basic configuration unit, PP ij Denote the proportion of the water consumption of the j-th land use type in the i-th basic configuration unit to the total water consumption of the j-th land use type in the whole basin.

[0083] S3. Determine the constraint conditions for the optimal allocation of water and soil resources in the basin. The constraint conditions include: water balance constraints (total water consumption constraint in the basin and water balance constraint in the configuration unit), total pollutant discharge constraint, and land resource balance constraint (total land area constraint in the basin and land area balance constraint in the configuration unit). The calculation formulas are as follows:

[0084]

[0085]

[0086]

[0087]

[0088]

[0089] Among them, n represents the total number of configuration units, m represents the total number of land use types, G ik Denote the available water supply of the k-th water source in the i-th basic configuration unit, W k (p) Denote the total available water resources of the k-th water source when the water inflow frequency is p, S ik Denote the actual water supply of the k-th water source in the i-th basic configuration unit, w ijk Denote the water demand of the j-th land use type in the i-th basic configuration unit for the k-th water source. β represents the point source and non-point source pollution discrimination coefficient, with a value of 0 or 1. 1 represents point source pollution, and 0 represents non-point source pollution, e ij Denote the pollutant concentration in the wastewater discharged by the j-th land use type in the i-th basic configuration unit, p ij Denote the sewage discharge coefficient of the j-th land use type in the i-th basic configuration unit, w ijk Denote the water demand of the j-th land use type in the i-th basic configuration unit for the k-th water source, A ijDenote the pollutant load of the j-th land use type in the i-th basic configuration unit, L ij Denote the area of the j-th land use type in the i-th basic configuration unit, T i Denote the total amount of pollution absorption in the i-th basic configuration unit, A i Denote the total area of the i-th basic configuration unit, Ldown j Denote the lower boundary of the red line of the j-th land use type on the i-th basic configuration unit, Lup j Denote the upper boundary of the j-th land use type in the i-th basic configuration unit for the basin.

[0090] In this embodiment, first, determine the water resource constraint. The total water supply in the Sihe River Basin in 2015 was 624 million m³, of which surface water supply was 336 million m 3 , groundwater supply was 245 million m 3 , and other water sources were 40 million m 3 . According to water users, agricultural water use was 525 million m 3 , industrial water use was 46 million m 3 , domestic water use was 48 million m 3 , and ecological water use was 40 million m 3 . Corresponding water users with land use types (agricultural water use corresponds to cultivated land, domestic and industrial water use correspond to residential areas, and ecological water use corresponds to forest land and grassland), distributing the water volume of water users to each configuration unit according to land use types, without distributing water volume to water areas and unused land, and then obtaining the water use level of each configuration unit. This is used as the current water volume constraint of water resources.

[0091] Secondly, determine the land resource constraint. The total area of the Sihe River Basin is 2,613.7 km 2 . According to the land use type statistics in 2014, the cultivated land area in the basin was 1,726.3 km 2 , the forest land area was 119.5 km 2 , the grassland area was 275.7 km 2 , the water area was 95.7 km 2 , the residential area was 384.8 km 2 , and the unused land area was 11.6 km 2 . Use the ArcGIS tool to count the area of various land use types in each configuration unit and calculate the proportion of various land use types in each configuration unit to the area of various land use types in the basin, as the basis for allocating the land use area in the planning year, and this is used as the land resource constraint.

[0092] Finally, determine the pollutant constraints. The pollutants in the Sihe River Basin mainly include point source pollution (industry and domestic) and non-point source pollution (cultivated land). Taking the social and economic development and agricultural development level of Jining City as a representative of the Sihe River Basin, the pollutant load in the Sihe River Basin is calculated as the pollutant constraint condition for the planning year. Here, COD is mainly selected as the pollutant.

[0093] S4. According to the objective function and constraint conditions, use the multi-objective optimization algorithm to calculate the optimal allocation result of water and soil in the basin, and complete the optimal allocation of water and soil resources in the basin. The implementation method is as follows:

[0094] S401. Unify the objective function into the minimum optimal;

[0095] In this embodiment, there are maximum optimal and minimum optimal in the objective function. When solving the calculation, the objective function is unified into the minimum optimal for solution.

[0096] S402. Uniformly name the optimization variables by using the encoding and naming method;

[0097] In this embodiment, the optimization variables are determined. There are two types of variables involved in the optimization process. One is the area of land use types, and the other is the water consumption of different water sources for various land use types. Therefore, the encoding and naming method is used for the variables to uniformly name them to make them universal. The encoding principle is: each attribute occupies two digits. The naming methods and illustrations of the variables of land use types and water resource types are shown in Table 1 and Table 2 respectively.

[0098] Table 1

[0099] Number Cell Number Land Use Type Number 101 1 01 6506 65 06

[0100] Table 2

[0101] Number Cell Number Land Use Type Number 10101 1 01 650602 65 06

[0102] Note: The configuration unit number refers to the total number formed by the sub-basin nested in the administrative region. There are six major types of land use types (01 - 06), and two types of water source types (01 is surface water, and 02 is groundwater).

[0103] S403. According to the constraint conditions, use the multi-objective optimization algorithm to calculate the water consumption of each configuration unit and the area of various land use types;

[0104] S404. Input the water consumption of each configuration unit and the area of various land use types into the FLUS model to obtain the optimal allocation result of water and soil in the basin, and complete the optimal allocation of water and soil resources in the basin.

[0105] In this embodiment, first, unify the objective function. There are maximum optimal and minimum optimal in the objective function. When solving and calculating, unify the objective function into the minimum optimal for solution. Second, determine the optimization variables. There are two types of variables involved in the optimization process. One is the area of land use types, and the other is the water consumption of various land use types for different water sources. There are a total of 822 optimization variables (274 land use variables and 548 water resource variables). Third, perform optimization and solution. With the help of the NSGA-II algorithm, set the population size to 100, the number of iterations to 100, the crossover probability to 0.6, and the mutation probability to 0.05. The calculation results are as Figure 3 shown. Finally, for spatial distribution, use the area of various land uses obtained from the optimization solution as the input of the FLUS model, and finally obtain the spatial distribution map of various land uses. As Figure 4 shown.

[0106] Embodiment 2

[0107] As Figure 5 shown, the present invention provides a system for optimizing the allocation of basin water and soil resources, including:

[0108] A basic configuration unit determination module, used to determine the basic configuration unit for optimizing the allocation of basin water and soil resources;

[0109] An objective function determination module, used to determine the objective function for optimizing the allocation of basin water and soil resources according to the basic configuration unit of the basin water and soil resource optimization allocation;

[0110] A constraint condition determination module, used to determine the constraint conditions for optimizing the allocation of basin water and soil resources;

[0111] An optimal configuration result calculation module, used to calculate the optimal allocation result of basin water and soil according to the objective function and constraint conditions by using a multi-objective optimization algorithm, and complete the optimization of the allocation of basin water and soil resources.

[0112] As Figure 5 shown, the system for optimizing the allocation of basin water and soil resources provided by the embodiment can execute the technical solutions shown in the above method embodiments, and its implementation principle and beneficial effects are similar, which will not be elaborated here.

[0113] Embodiment 3

[0114] The present invention provides an electronic device, including a memory, a processor, and a computer program stored on the memory and running on the processor. The processor executes the program to implement any one of the methods for optimizing the allocation of basin water and soil resources in Embodiment 1.

[0115] Embodiment 4

[0116] The present invention provides a computer-readable storage medium storing a computer program, which is executed by a processor to implement any one of the methods for optimizing the allocation of water and soil resources in a river basin in Embodiment 1.

[0117] The present invention provides a computer-readable storage medium storing a computer program, which is executed by a processor to implement any one of the methods for optimizing the allocation of water and soil resources in a river basin in Embodiment 1.

[0118] The above computer-readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk. The readable storage medium can be any available medium accessible by a general-purpose or special-purpose computer. The readable storage medium is coupled to the processor so that the processor can read information from the readable storage medium and write information to the readable storage medium. The readable storage medium can also be a component of the processor. The processor and the readable storage medium can be located in an application-specific integrated circuit (ASIC), or the processor and the readable storage medium can exist as discrete components in a system for optimizing the allocation of water and soil resources in a river basin.

[0119] Embodiments of the present application can be provided as a method, an apparatus, or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media including, but not limited to, magnetic disk storage, CD-ROM, optical storage, etc., which include computer-usable program code. Described with reference to the flowcharts and / or block diagrams of methods, apparatuses (devices), and computer program products according to embodiments of the present invention, it should be understood that each process and / or block in the flowcharts and / or block diagrams, and combinations of processes and / or blocks in the flowcharts and / or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing devices to work in a specific manner in a computer-readable memory, so that the instructions stored in the computer-readable memory produce a manufactured article including an instruction device, and the instruction device implements in the process Figure 1 one process or multiple processes and / or blocks Figure 1The functions specified in one or more boxes. These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide for implementing one or more processes and / or boxes in the flowchart Figure 1 steps of the functions specified in one or more boxes.

Claims

1. A method for optimizing the allocation of water and soil resources in a river basin, characterized in that, It includes the following steps: S1. Determine the basic configuration units for the optimal allocation of water and soil resources in the basin; S2. Determine the objective function for the optimal allocation of water and soil resources in the basin according to the basic configuration units for the optimal allocation of water and soil resources in the basin; The expression of the objective function for the optimal allocation of water and soil resources in the basin is as follows: Among them, , , , and respectively represent the objective function of minimizing the total water shortage in the basin, the objective function of minimizing the total pollutant emissions, the objective function of minimizing the water consumption per 10,000 yuan of output value, the objective function of maximizing the net primary productivity, and the function of maximizing the Gini coefficient of water and soil resources allocation. represents the water demand of the th th land use type in the th water source in the th basic configuration unit. represents the area of the th land use type in the th basic configuration unit. represents the available water volume of the th water source in the represents the point-source and non-point-source pollution discrimination coefficient, with a value of 0 or 1, where 1 represents point-source pollution and 0 represents non-point-source pollution. represents the pollutant concentration in the wastewater discharged from the th land use type in the th basic configuration unit. represents the sewage discharge coefficient of the th land use type in the th basic configuration unit. represents the pollutant load of the th land use type in the th basic configuration unit. represents the GDP output value of the th basic configuration unit. represents the total number of configuration units. represents the total number of water sources. represents the total number of land use types. represents the net primary productivity of the th land use type in the th basic configuration unit. represents the Gini coefficient of water and soil resources matching of the th water source in the basin. represents the cumulative proportion of the equilibrium degree of the th land use type in the th basic configuration unit. represents the cumulative proportion of the water consumption equilibrium degree of the th land use type in the th basic configuration unit. and constitute the spatial Lorenz curve. Indicates the cumulative number of configuration units, Indicates the th cumulative structural equilibrium degree of the land use type in the basic configuration unit, Indicates the th structural information entropy of the land use type in the basic configuration unit, Indicates the maximum structural information entropy of all land use types in all configuration units, Indicates taking the natural logarithm, Indicates the th structural information entropy of the land use type in the basic configuration unit, Indicates the th total area proportion of the land use type in the basic configuration unit, Indicates the th cumulative water consumption equilibrium degree of the land use type in the basic configuration unit, Indicates the th water consumption equilibrium degree of the land use type in the basic configuration unit, Indicates the th water quantity information entropy of the land use type in the basic configuration unit, Indicates the maximum water consumption information entropy of all land use types in all configuration units, Indicates the th water consumption information entropy of the land use type in the basic configuration unit, Indicates the th proportion of the water consumption of the land use type in the th land use type in the entire basin; S3. Determine the constraint conditions for the optimal allocation of water and soil resources in the basin; The expression of the constraint conditions is as follows: Among them, represents the total available water resources of the -th water source when the incoming water frequency is ; represents the actual water supply of the -th water source in the -th basic configuration unit; represents the total pollution absorption capacity in the -th basic configuration unit; represents the total area of the -th basic configuration unit; represents the lower boundary of the red line of the -th land use type in the -th basic configuration unit; represents the upper boundary of the -th land use type in the -th basic configuration unit for the basin; S4. According to the objective function and the constraint conditions, use the multi-objective optimization algorithm to calculate the optimal allocation result of water and soil in the basin, and complete the optimal allocation of water and soil resources in the basin.

2. The method for optimizing the allocation of water and soil resources in a river basin according to claim 1, characterized in that, The step S1 includes the following steps: S101. Conduct hydrological analysis based on the digital elevation model of the basin and the outlet point of the basin, and draw the sub-basins of the study area; S102. Intersect the sub-basins with the administrative regions to obtain the basic units of sub-basins nested within administrative regions; S103. Use the basic units of sub-basins nested within administrative regions to count the areas of different land types in this unit, and obtain the basic configuration units for the optimal allocation of water and soil resources in the basin.

3. The method for optimizing the allocation of water and soil resources in a river basin according to claim 1, characterized in that, The step S4 includes the following steps: S401. Unify the objective function into the minimum optimal; S402. Uniformly name the optimization variables by means of coding and naming; S403. According to the constraint conditions, use the multi-objective optimization algorithm to calculate the water consumption of each configuration unit and the areas of various land use types; S404. Input the water consumption of each configuration unit and the areas of various land use types into the FLUS model to obtain the optimal allocation result of water and soil in the basin, and complete the optimal allocation of water and soil resources in the basin.

4. A system for optimizing the allocation of water and soil resources in a basin, which is used to execute the method for optimizing the allocation of water and soil resources in a basin according to any one of claims 1-3, characterized in that, It includes: A basic configuration unit determination module, which is used to determine the basic configuration units for the optimal allocation of water and soil resources in the basin; An objective function determination module, which is used to determine the objective function for the optimal allocation of water and soil resources in the basin according to the basic configuration units for the optimal allocation of water and soil resources in the basin; A constraint condition determination module, which is used to determine the constraint conditions for the optimal allocation of water and soil resources in the basin; An optimal allocation result calculation module, which is used to calculate the optimal allocation result of water and soil in the basin according to the objective function and the constraint conditions, and complete the optimal allocation of water and soil resources in the basin by using the multi-objective optimization algorithm.

5. An electronic device, characterized in that, It includes a memory, a processor, and a computer program stored on the memory and running on the processor. The processor executes the program to implement the method for the optimal allocation of water and soil resources in the basin as described in any one of claims 1-3.

6. A computer-readable storage medium storing a computer program, characterized in that, The computer program is executed by the processor to implement the method for the optimal allocation of water and soil resources in the basin as described in any one of claims 1-3.

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