A method for optimizing water resources allocation

Abstract

The present invention discloses a method for optimizing water resource allocation, comprising the following steps: A. dividing a target area into a plurality of sub-areas according to the surface water flow direction of the target area; B. collecting the surface water consumption W of each sub-area in a regulation cycle; s , groundwater consumption W g , average rainfall W r , average evaporation W e and water demand W i ; C. Establish an optimization objective function for each sub-region, Min(W s +W g +W r ‑W e ‑W i );D. According to the total surface water flow and total groundwater consumption in the target area, set the surface water consumption W s , groundwater consumption W g and water demand W i E. Allocate water resources in the target area according to the optimization objective function of step C and the constraint conditions of step D. The present invention can improve the deficiencies of the prior art and can quickly and accurately obtain stable results of large-scale water resource allocation.

Description

Technical Field

[0001] The invention relates to the technical field of comprehensive utilization of water resources, in particular to a method for optimizing the configuration of water resources. Background Art

[0002] my country is a water-scarce country, and the distribution of water resources in different regions of my country is extremely unbalanced. Improving the utilization rate of water resources through the rational allocation of water resources is an important means to solve my country's water shortage problem. In the prior art, the optimization of small-scale water resources has been widely used through intelligent optimization algorithms such as genetic algorithms, fuzzy degradation, artificial neural networks, chaos optimization algorithms, ant colony algorithms, and particle swarm optimization algorithms, achieving good results. However, this type of algorithm is highly complex. For large-scale water resource configuration, due to the large number of variable parameters involved and the fast data update, it is impossible to quickly obtain a stable configuration result. Summary of the invention

[0003] The technical problem to be solved by the present invention is to provide a method for optimizing water resource allocation, which can solve the deficiencies of the prior art, simplify the processing steps, and can quickly and accurately obtain stable results of large-scale water resource allocation.

[0004] In order to solve the above technical problems, the technical solutions adopted by the present invention are as follows.

[0005] A method for optimizing water resource allocation comprises the following steps:

[0006] A. Divide the target area into several sub-areas according to the surface water flow direction in the target area;

[0007] B. Collect the surface water consumption W of each sub-region in a regulation cycle s , groundwater consumption W g , average rainfall W r , average evaporation W e and water demand W i ;

[0008] C. Establish an optimization objective function for each sub-region.

[0009] Min(W s +W g +W r -W e -W i );

[0010] D. Set the surface water consumption W according to the total surface water flow and total groundwater consumption in the target area. s , groundwater consumption W g and water demand W i Constraints of

[0011] E. Allocate water resources in the target area according to the optimization objective function of step C and the constraints of step D.

[0012] As a preference, in step C, the water demand W i Set the redundancy, the size of the redundancy is related to the average rainfall W r and the average evaporation W e The average fluctuation ratio of the two is directly proportional.

[0013] Preferably, in step D, the constraints include the surface water consumption W s and groundwater consumption W g The correlation between the groundwater consumption W g Sensitivity of groundwater use W g The sensitivity of r Inversely proportional.

[0014] Preferably, in step E, the total surface water and groundwater usage in the target area is first estimated based on the average total rainfall, the average total evaporation and the total water demand, and then the surface water usage and groundwater usage are allocated to each sub-area based on the estimated results. Then, the water resources of each sub-area are optimized according to the optimization objective function, and the optimization results are substituted into the constraints. If the constraints are met, the configuration is completed. If the constraints are not met, the total water demand is changed, and then the above process is repeated until the constraints are met.

[0015] The beneficial effect brought about by adopting the above technical solution is that: the present invention reduces the influence factors between various variables by changing the structure of the optimization objective function. At the same time, in order to solve the problem of reduced optimization effect caused by this change, corresponding constraint conditions are specially designed, so that in the process of allocating water resources, the optimal result can be quickly approached. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a schematic diagram of a specific implementation mode of the present invention. DETAILED DESCRIPTION

[0017] Reference Figure 1 , a specific embodiment of the present invention comprises the following steps:

[0018] A. Divide the target area into several sub-areas according to the surface water flow direction in the target area;

[0019] B. Collect the surface water consumption W of each sub-region in a regulation cycle s , groundwater consumption W g , average rainfall W r , average evaporation W e and water demand Wi ;

[0020] C. Establish an optimization objective function for each sub-region.

[0021] Min(W s +W g +W r -W e -W i );

[0022] D. Set the surface water consumption W according to the total surface water flow and total groundwater consumption in the target area. s , groundwater consumption W g and water demand W i Constraints of

[0023] E. Allocate water resources in the target area according to the optimization objective function of step C and the constraints of step D.

[0024] In step C, the water demand W i Set the redundancy, the size of the redundancy is related to the average rainfall W r and the average evaporation W e The average fluctuation ratio of the two is directly proportional.

[0025] In step D, the constraints include the surface water consumption W s and groundwater consumption W g The correlation between the groundwater consumption W g Sensitivity of groundwater use W g The sensitivity of r Inversely proportional.

[0026] In step E, the total surface water and groundwater consumption in the target area is first estimated based on the average total rainfall, the average total evaporation and the total water demand. Then, the surface water consumption and groundwater consumption are allocated to each sub-area according to the estimated results. Then, the water resources of each sub-area are optimized according to the optimization objective function. The optimization results are substituted into the constraints. If the constraints are met, the configuration is completed. If the constraints are not met, the total water demand is changed, and then the above process is repeated until the constraints are met.

[0027] The present invention has small computational complexity, high efficiency and relatively stable processing results, and is particularly suitable for comprehensive allocation of water resources over a large area.

[0028] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for optimizing water resource allocation, characterized in that The following steps are involved: A. Divide the target area into several sub-areas according to the surface water flow direction in the target area; B. Collect the surface water consumption W of each sub-region in a regulation cycle s , groundwater consumption W g , average rainfall W r , average evaporation W e and water demand W i ; C. Establish an optimization objective function for each sub-region. Min(In s +W g +W r -IN e -IN i ); Water demand W j Set the redundancy, the size of the redundancy is related to the average rainfall W r and the average evaporation W e The average fluctuation ratio of the two is proportional; D. Set the surface water consumption W according to the total surface water flow and total groundwater consumption in the target area. s , groundwater consumption W g and water demand W i The constraints include the surface water consumption W s and groundwater consumption W g The correlation between the groundwater consumption W g Sensitivity of groundwater use W g The sensitivity of r Inversely proportional; E. Configure the water resources of the target area according to the optimization objective function of step C and the constraints of step D; first, estimate the total surface water and groundwater usage of the target area according to the average total rainfall, the average total evaporation and the total water demand, and then allocate the surface water usage and groundwater usage to each sub-area according to the estimated results, and then optimize the water resources of each sub-area according to the optimization objective function, and substitute the optimization results into the constraints. If the constraints are met, the configuration ends. If the constraints are not met, the total water demand is changed, and then the above process is repeated until the constraints are met.

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