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The Effects of Uncertainty on a Ground Water Management Problem Involving Saltwater Intrusion

机译:不确定性对涉及盐水入侵的地下水管理问题的影响

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Ground water is an important water supply source for many coastal communities. Significant ground water extraction can lead to landward migration of the saltwater-freshwater interface, which can contaminate the water supply. It is therefore important to consider the potential for saltwater intrusion when developing a ground water management plan in coastal regions. An important tool in analyzing such problems is the numerical model which can predict water levels, ground water flow, and the location of the salt-water interface given a particular pumping regime. Such models require knowledge of hydraulic parameters for each aquifer. Imprecise specification of these parameters can lead to inaccurate results and it is therefore important to evaluate the effect of uncertainty in model parameters. Because the hydraulic conductivity of an aquifer is critically important for predicting the location of the saltwater- freshwater interface, it is a major source of uncertainty in ground water analysis.Here we investigate two types of uncertainty in the context of ground water management problems: (1) modeler's uncertainty reflects inaccurate estimation of mean hydraulic conductivity, and (2) spatial variability reflects our inability to adequately characterize the spatially heterogeneous distribution of hydraulic conductivity at an appropriate scale for precise modeling. Both types of uncertainty are investigated by developing a ground water management problem based on a coastal aquifer on Cape Cod, Massachusetts. The management problem seeks to minimize the threat of saltwater intrusion while meeting the water supply demands of the community. The two types of uncertainty are shown to have different and substantial effects on optimal management designs. These results illustrate the importance of considering uncertainty in determining ground water management solutions in a coastal aquifer environment.
机译:地下水是许多沿海社区的重要水源。大量抽取地下水会导致盐水-淡水界面向内迁移,从而污染供水。因此,在沿海地区制定地下水管理计划时,必须考虑到盐水入侵的可能性。分析此类问题的重要工具是数值模型,该模型可以预测水位,地下水流量以及在特定泵送条件下盐水与水界面的位置。此类模型需要了解每个含水层的水力参数。这些参数的规范不正确会导致结果不准确,因此评估模型参数中不确定性的影响非常重要。因为含水层的水力传导率对于预测盐水-淡水界面的位置至关重要,所以它是地下水分析不确定性的主要来源。 在这里,我们在地下水管理问题的背景下研究了两种类型的不确定性:(1)模型师的不确定性反映了对平均水力传导率的不准确估计;(2)空间变异性反映了我们无法充分表征水力传导率在空间上的非均质分布的特征。适用于精确建模的比例尺。通过开发基于马萨诸塞州科德角的沿海含水层的地下水管理问题,研究了两种类型的不确定性。在满足社区供水需求的同时,管理问题力求最大程度地减少盐水入侵的威胁。事实表明,两种类型的不确定性对最佳管理设计有不同且实质性的影响。这些结果说明了在确定沿海含水层环境中的地下水管理解决方案时要考虑不确定性的重要性。

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