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Stochastic analysis of the impacts of rainfall patterns on groundwater recharge.

机译:降雨模式对地下水补给影响的随机分析。

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摘要

Potential climate change can impact groundwater recharge. Climate chance scenarios were constructed taking into account uncertainty concerning stochastic generation patterns of precipitation and change in the recharge. Because groundwater is directly connected to near-surface hydrologic processes, it intricately connected to the overall hydrologic cycle and could be directly affected by climatic change. Changes in groundwater recharge are likely to result from changes in the annual and seasonal distribution of precipitation. The relationship between the stochastic precipitation that infiltrates and recharges groundwater is the subject of active studies. This is an unprecedented and important research area. The goal of the present research is to attempt to characterize impacts on groundwater recharge by developing potential precipitation patterns and simulating the groundwater recharge in a groundwater simulation model. The stochastic generation of a precipitation model is estimated by adopting two processes for the rainfall. One model is a first order Markov chain. The second model used an exponential distribution model that was fitted to the historical time series of the amount of rain for rainy days. Based on the US Global Change Research Program report's of general predictions for the climate in northeastern North America over the next 100 years, six scenarios for a synthetic time series of precipitation ware developed.;Precipitation is assumed to increase or decrease, with an average change ranging between 5 and 45 percent with 10 percent increments. The generated synthetic time series of precipitation were used in the GSFLOW model. Characteristic statistics and the frequency analysis of the recharge scenarios were estimated. The investigation shows that for the different scenarios, the recharge can be affected and changed to a much greater degree than the percentage change in precipitation. For example a scenario of 25% increase in precipitation showed an increase in recharge of approximately 60% while a 25% decrease in precipitation showed a 70% decrease in recharge.
机译:潜在的气候变化会影响地下水补给。构造气候机会情景时要考虑到降水和补给量变化的随机生成模式的不确定性。由于地下水与近地表水文过程直接相连,因此它与整个水文循环错综复杂地相连,并可能直接受到气候变化的影响。地下水补给量的变化很可能是由于降水的年度和季节分布的变化而引起的。渗入和补给地下水的随机降水之间的关系是积极研究的主题。这是前所未有的重要研究领域。本研究的目的是试图通过开发潜在的降水模式并在地下水模拟模型中模拟地下水补给来表征对地下水补给的影响。降雨模型的随机生成是通过对降雨采用两个过程来估计的。一个模型是一阶马尔可夫链。第二个模型使用了指数分布模型,该模型适合于雨天降雨量的历史时间序列。根据《美国全球变化研究计划》报告对未来100年北美东北部地区气候的一般预测,开发了六种合成降水时间序列的方案。假定降水量增加或减少,且平均变化范围介于5%和45%之间,增量为10%。生成的降水综合时间序列用于GSFLOW模型。估计了补给场景的特征统计和频率分析。调查表明,对于不同的情景,补给可能会受到影响,并且变化的程度要比降水变化的百分比大得多。例如,降水增加25%的情况表明补给量增加了约60%,而降水减少25%的情况表明补给量减少了70%。

著录项

  • 作者

    Bahrawi, Jarbou Abdullah.;

  • 作者单位

    Colorado State University.;

  • 授予单位 Colorado State University.;
  • 学科 Hydrology.;Engineering Environmental.;Engineering Civil.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 229 p.
  • 总页数 229
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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