Estimation of Uncertainty in the Flow Field around Underground Ains (Qanats) Using Monte-Carlo Method

A. Elfeki
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Abstract

Subsurface is heterogeneous in its structure. Its hetero- geneity makes predictions very complicated. Recently, researchers have developed techniques to incorporate heterogeneity on models to be able to quantify the heterogeneity and to study its effect on engineering structures. Numerical experiments were designed, through the development of a computer code called "FLOW2AIN", to simulate groundwater flow to Ains (Qanats) in a heterogeneous subsurface. The purpose of these experiments is to quantify the effect of uncertainty in the local heterogeneity around the Ain on the flow field and the expected flux of water infiltrated to the Ain from the ambient groundwater. The numerical experiments discuss the influence of the degree of heterogeneity on the expected seepage discharge towards the Ain and its uncertainty due to heterogeneity of the subsurface.
用蒙特卡罗方法估计地下矿井(坎泉)周围流场的不确定性
地下构造是不均匀的。它的异质性使得预测非常复杂。最近,研究人员开发了将非均质性纳入模型的技术,以便能够量化非均质性并研究其对工程结构的影响。通过开发名为“FLOW2AIN”的计算机代码,设计了数值实验,以模拟地下水在非均匀地下流向裂隙(坎儿井)。这些实验的目的是量化Ain周围局部非均质性的不确定性对流场和从周围地下水渗透到Ain的预期通量的影响。数值实验讨论了非均质性程度对预期渗流流量的影响,以及由于地下非均质性引起的不确定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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