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首页> 外文期刊>Water Resources Management >Modeling Rainwater Storage in Distributed Reservoir Systems in Humid Subtropical and Tropical Savannah Regions
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Modeling Rainwater Storage in Distributed Reservoir Systems in Humid Subtropical and Tropical Savannah Regions

机译:亚热带和热带稀树草原地区分布式水库系统中雨水存储的模拟

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摘要

Using a hydrologic model this study estimated rainwater storages in field-scale on-farm reservoir (OFR) systems at two locations: (1) Fort Worth, Texas, US; (2) Kharagpur, West Bengal, India. The water storages were estimated for variable OFR sizes: 1%, 5%, 10%, 15%, and 25% of the farm area. Water losses through seepage and evaporation were estimated using variable saturated hydraulic conductivity conditions: 0.33, 0.64,1.3, 5 cm/h, which corresponded to the ranges of hydraulic conductivity of loam, sandy loam, loamy sand, and sandy soils, respectively. Results indicated that the water loss through evaporation was dominant at the first location, while seepage was at the second location. Changing the OFR sizes captured 5 to 28% of the total rainfall received in the farm area of the first location and 20-40% at the second location. Finally, a comparative economic analysis was made between a distributed OFR system and a centralized large reservoir that indicated that the distributed OFR system benefits exceeded the benefits of a large reservoir.
机译:本研究使用水文模型估算了两个地点的田间规模化农田水库(OFR)系统中的雨水存储量:(1)美国德克萨斯州沃思堡; (2)印度西孟加拉邦哈拉格布尔。估计了不同的OFR大小的蓄水量:农场面积的1%,5%,10%,15%和25%。通过使用可变的饱和导水率条件:0.33、0.64、1.3、5 cm / h估算通过渗漏和蒸发引起的水损失,分别对应于壤土,沙壤土,壤土和砂土的水力传导率范围。结果表明,蒸发损失的水分在第一位置占主导,而渗漏在第二位置。更改OFR大小会在第一地点的农场区域中接收到总降雨量的5%到28%,在第二地点的农场中接收20%至40%的降雨量。最后,在分布式OFR系统和集中式大型水库之间进行了比较经济分析,结果表明,分布式OFR系统的收益超过了大型水库的收益。

著录项

  • 来源
    《Water Resources Management》 |2011年第13期|p.3091-3111|共21页
  • 作者单位

    Department of Agricultural and Biosystems Engineering, Iowa State University,Ames, IA 50011, USA;

    Department of Agricultural and Biosystems Engineering, Iowa State University,Ames, IA 50011, USA;

    Department of Biological and Agricultural Engineering and Department of Civil and Environmental Engineering, Texas A & M University,College Station, TX 77843-2117, USA;

    Department of Agricultural and Food Engineering, Indian Institute of Technology,Kharagpur, 721302, India;

    BRSM College of Agricultural Engineering and Technology,Indira Gandhi Krishi Viswavidyalaya, IGKV, Raipur, 492006, India;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    on-farm reservoir; rainwater harvesting; reservoir;

    机译:农场水库;雨水收集;水库;

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