首页> 外文学位 >Potential Impacts of Irrigation Groundwater Withdrawal on Water Resources in the Scippo Creek-Scioto River Watershed (Ohio).
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Potential Impacts of Irrigation Groundwater Withdrawal on Water Resources in the Scippo Creek-Scioto River Watershed (Ohio).

机译:Scippo Creek-Scioto河流域(俄亥俄州)的灌溉地下水抽取对水资源的潜在影响。

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摘要

The Lower Scioto Cataloguing Unit (LSCU) (OH) is experiencing an increase in irrigated land area. Information on potential impacts of irrigation groundwater withdrawals expansion is needed to assist in the management of a sustainable irrigated land area expansion. It is essential that the evaluation accounts for potential changes in crop irrigation water requirements due to anticipated climate change to insure that the results of the study reflect the aspects of crop irrigation in the short and long term.;The study used the Scippo Creek-Scioto River Watershed (SCSRW) (OH) as a case study, and focused on the two most important crops grown in the area of study, which were corn and soybeans. In a preliminary study, a hybrid model that coupled the multimodel ensemble method (Kharin and Zwiers, 2002, Christensen and Lettenmaier, 2007) to a Monte-Carlo simulation was developed to predict future seasonal gross irrigation water requirements. The hybrid model was tested for the years 1969 to 1999 and used to predict seasonal irrigation water requirements for corn for the year 2015 to 2099.;A groundwater flow model was developed for the study area using MODFLOW and used to investigate the potential groundwater level decline and streamflow depletion. Mean drawdowns in the order of 0.05 m to 6.26 m occurred between 2015 and 2099 in response to the simulation of various withdrawal scenarios. A depletion model developed using the simulation results indicated that mean drawdowns in the aquifer system could reach 6 m within 73 years in the worst case scenario.
机译:下Scioto编目单位(LSCU)(OH)的灌溉土地面积正在增加。需要有关灌溉地下水抽取量潜在影响的信息,以帮助管理可持续的灌溉土地面积扩展。评估必须考虑到由于预期的气候变化导致的作物灌溉水需求的潜在变化,以确保研究的结果反映短期和长期的作物灌溉的各个方面。该研究使用了Scippo Creek-Scioto以河流流域(SCSRW)(OH)为例,重点研究了研究领域中最重要的两种农作物,即玉米和大豆。在初步研究中,开发了一种将多模型集成方法(Kharin和Zwiers,2002; Christensen和Lettenmaier,2007)与蒙特卡洛模拟相结合的混合模型,以预测未来的季节性总灌溉水需求量。对混合模型进行了1969年至1999年的测试,并用于预测2015年至2099年玉米的季节性灌溉需水量;使用MODFLOW为研究区域开发了地下水流量模型,用于调查潜在的地下水位下降和流量枯竭。在2015年至2099年之间,平均压降发生在0.05 m至6.26 m的数量级,以响应各种撤出情景的模拟。利用模拟结果开发的耗竭模型表明,在最坏的情况下,含水层系统中的平均水位下降在73年内可能达到6 m。

著录项

  • 作者

    Gunn, Kpoti M.;

  • 作者单位

    The Ohio State University.;

  • 授予单位 The Ohio State University.;
  • 学科 Agricultural engineering.;Hydrologic sciences.;Water resources management.
  • 学位 Ph.D.
  • 年度 2015
  • 页码 158 p.
  • 总页数 158
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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