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Research on Optimal Allocation of Regional Annual Water Consumption

Author(s):
Medium: journal article
Language(s): en 
Published in: The Open Civil Engineering Journal, , n. 1, v. 9
Page(s): 743-750
DOI: 10.2174/1874149501509010743
Abstract:

The optimization of regional water distribution refers to distributing regional and industrial water supply scientifically on the premises of limited regional water supply with an excess of demand for the purpose of fulfilling every industry's water supply. The study treats the optimal distribution of annual regional water consumption as a systematic dynamic optimization and analyzes its optimizing process, procedure and basic form of its models. The study constructs a regional water consumption system and raises a model to optimize regional water allocation that focuses on the water consumption standard of many categories, including living water, farm irrigation, forestry, animal husbandry, fishery livestock, industry, the public and environmental water demand of the city. Aiming at achieving the maximum comprehensive benefits of regional water consumption when dealing with its structure and habits, the optimal distribution model of regional water is devised after adopting the dynamic optimized distribution method to optimize the regional water consumption. As is shown by the research result, when applied to the regional water distribution optimization, this model can well optimize the distribution in every region and industry. It can thus coordinate among every system of water demand and supply in every region. This project study is significantly meaningful to ensure the scientific and reasonable water use in a region. It is also crucial to the sustainable utilization of water and sustainable development of society.

Copyright: © 2016 Xianqi Zhang
License:

This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met.

  • About this
    data sheet
  • Reference-ID
    10175526
  • Published on:
    30/12/2018
  • Last updated on:
    02/06/2021