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云南省农村饮水安全多项目供需水量预测分析

Supply and demand forecast analysis of water volumes for rural drinking water safety projects in Yunnan Province
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摘要 云南省实施农村饮水安全专项行动项目共3322处,项目实施覆盖人口为1468.22万,能有效解决现状109.86万人因旱需应急拉水送水及472.82万人水源不稳定的问题,提升79.03万人水窖辅助供水和77.61万人纯水窖供水饮水安全保障水平。专项行动涉及工程项目多,供需水量要进行详细的供需平衡分析,计算难度大。本文通过以需定供,对比分析不同工程所需供水量与其水库兴利库容、河道多年平均径流量等的关系,分析供需水量平衡问题。分析表明,水源供水量充沛,足够满足需水量需求。本文方法能有效解决农村饮水安全多项目实施供需水量平衡分析的复杂问题,可供类似工程参考。 Yunnan Province has implemented a special action project for rural drinking water safety in a total of 3,322 locations.The project covers a population of 14.68 million,effectively addressing the problems faced by 1.0986 million people due to drought-related emergency water supply and 4.7282 million people with unstable water sources.It also enhances the water safety for 0.7903 million people through auxiliary water supply from water wells and 0.7761 million people through pure water well supply.The special action involves multiple engineering projects,and the analysis of supply and demand water volumes requires detailed balancing,which presents significant computational challenges.This paper uses a demand-driven approach to analyze the relationship between the required water supply for different projects and factors such as reservoir capacity and multi-year average river flow.The analysis addresses the issue of supply and demand water volume balance.The analysis shows that the water supply is abundant and sufficient to meet the demand for water.The exploration and application of the method in this paper can effectively address the complex issue of supply and demand water volume balance analysis in the implementation of multiple rural drinking water safety projects and can serve as a reference for similar projects.
作者 王永德 陈小洪 马华安 WANG Yongde;CHEN Xiaohong;MA Hua’an(Yunnan Institute of Water Resources and Hydropower Science,Kunming 650228,China)
出处 《水利建设与管理》 2023年第11期1-5,共5页 Water Conservancy Construction and Management
关键词 农村饮水安全 供需水量 以需定供 分析 rural drinking water safety supply and demand of water volumes demanddriven analysis
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