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Incorporating Uncertainty into High-Resolution Groundwater Supply Models

机译:将不确定性纳入高分辨率地下水供应型号

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Groundwater modeling is a useful tool for evaluating whether an aquifer system is capable of supporting groundwater withdrawals over long periods of time and what effect, if any, such activity will have on the regional flow dynamics as well as on specific public water, agricultural and industrial supplies. High-resolution models are necessary for quantification of local processes and phenomena. However, standalone, refined models require more detailed hydrogeological data, are more computationally intensive, and do not provide information on regional flow and dynamics. We are currently involved in a groundwater modeling study of the Chicot Aquifer in southwestern Louisiana where we are using a low-resolution groundwater model to study the regional flow in the Chicot aquifer and to provide boundary conditions for higher-resolution inset models created using telescopic mesh refinement (TMR). These high-resolution models allow us to incorporate more data and information into the study region, including aquifer heterogeneities, recharge rates, and pumping locations and rates. Despite increasingly sophisticated techniques for quantifying and incorporating these data and information into groundwater models, there are still many uncertainties. The objective of this paper is to describe the regional Chicot Aquifer model, the high-resolution Acadia Parish inset model, and the use of geostatistical tools to incorporate uncertainties in the hydraulic conductivity field into the inset model. The regional model is able to reproduce the regional flow dynamics and the boundary conditions necessary for the local model, while the local model incorporates many of the aquifer heterogeneities and water use details. This allows us to determine the impact of these processes on the groundwater flow dynamics (e.g., drawdowns, capture zones, etc...).
机译:地下水模型是评价一个含水层系统是否能够在很长一段时间,什么效果配套抽取地下水一个有用的工具,如果有的话,这样的活动将对区域血流动力学,以及对特定公共用水,农业和工业补给品。高分辨率模型对于量化本地过程和现象是必要的。然而,独立的精致模型需要更详细的水文地质数据,更加计算密集,并且不提供关于区域流动和动态的信息。我们目前参与了路易斯安那州西南部的雪花含水层的地下水建模研究,在那里我们正在使用低分辨率地下水模型来研究雪花含水层中的区域流动,并为使用伸缩网眼创建的高分辨率插图模型提供边界条件细化(TMR)。这些高分辨率模型允许我们将更多的数据和信息纳入研究区域,包括含水层异质性,充电率和泵送位置和速率。尽管在地下水模型中量化和将这些数据和信息集成了越来越复杂的技术,但仍存在许多不确定性。本文的目的是描述区域奇科特含水层模型,高分辨率阿卡迪亚教区插图模型,并利用地质统计学工具纳入不确定性的渗透系数场到嵌入模式。区域模型能够再现区域流动动力学和本地模型所需的边界条件,而本地模型包含许多含水层异质性和水使用细节。这使我们能够确定这些过程对地下水流动动态的影响(例如,缩减,捕获区域等......)。

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