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Determination of stochastic well head protection zones by direct propagation of uncertainties of particle tracks

机译:通过直接传播颗粒径迹的不确定性来确定随机井口保护区

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摘要

A popular method for the determination of catchment zones is the construction by particle tracking. A new approach is presented, allowing to quantify the uncertainty of particle paths and catchment zones by the direct propagation of uncertainties of aquifer parameters into the uncertainty of the location of contaminating particles. This is achieved by applying the conditional First-Order Second Moment (FOSM) method to both the discretised groundwater flow and the particle tracking equations. Beside of the mean particle tracks, the standard deviations (sigma(x), sigma(y)) of the location (x, y) of a particle within the 2-dimensional flow field are directly calculated. This allows calculating probabilities for which particles can be found within their I uncertainty cloud'. By starting particles at all gridpoints of the groundwater model this method is applied to the delineation of stochastic well head protection zones. The performance of the proposed new method is shown for the determination of capture zones for an aquifer in Gambach (State of Hessia, Germany).
机译:确定集水区的一种流行方法是通过粒子跟踪进行构造。提出了一种新方法,可以通过将含水层参数的不确定性直接传播到污染颗粒位置的不确定性来量化颗粒路径和集水区的不确定性。这是通过将条件一阶第二矩(FOSM)方法应用于离散的地下水流和粒子跟踪方程来实现的。除了平均粒子轨迹外,还可以直接计算二维流场中粒子位置(x,y)的标准偏差(sigma(x),sigma(y))。这允许计算在其不确定性云中可以找到粒子的概率。通过在地下水模型的所有网格点处启动粒子,该方法可用于随机井口保护区的划分。显示了所建议的新方法在确定Gambach(德国黑森州)含水层捕获区时的性能。

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