Water resource simulation method based on double sequencing of water sources and water users

Abstract

The invention provides a water resource simulation method based on double sequencing of a water source and a water user. A simulation model is researched and developed by taking a double sequencing rule of the water source and the water user as starting points. For a water source, the water supply sequence is as follows: unconventional water is the first, surface water is the second and underground water is the third. For water users, the water receiving priorities are sorted as follows: industrial water supply can be performed only after the living water requirements of residents are completely met, urban public water supply can be performed only after the industrial water requirements are completely met, and so the like. According to the water resource simulation system and method takingwater source and water user double sorting as the rule, the water supply reality is fully considered in the water source water supply sequence, the water resource allocation scientificity can be improved, and the water resource simulation system and method can be applied to the fields of basin water resource comprehensive planning, water resource simulation scientific research, water ecological protection and planning and the like.

Description

technical field [0001] The invention belongs to the field of scientific allocation of water resources, and in particular relates to a water resource simulation method based on double sorting of water sources and water users. Background technique [0002] According to the classification standard of water users in the Water Resources Bulletin, water users can be divided into six categories: residential life, industry, urban public, ecological environment, forestry, animal husbandry, fishery, and agricultural irrigation. The current common method is to simulate water resources through linear programming (simplex method) or genetic algorithm. The basic idea is to determine the objective function and constraint conditions for optimization. Generally, the minimum water shortage or the maximum benefit is used as the objective function. The different constraint conditions lead to the randomness of the water demand satisfaction of the six types of water users. This scheme is a simul...

AI Technical Summary

Problems solved by technology

The current common method is to simulate water resources through linear programming (simplex method) or genetic algorithm. The basic idea is to determine the objective function and constraint conditions for optimization. Generally, the minimum water shortage or the maximum benefit is used as the objective function. The different constraint conditions lead to the randomness of the water demand satisfaction of the six types of water users

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