Contamination exposure assessment of a well field through Null-Space Monte Carlo method

IF 0.4 Q4 GEOSCIENCES, MULTIDISCIPLINARY Rendiconti Online Societa Geologica Italiana Pub Date : 2023-11-01 DOI:10.3301/rol.2023.50
Vincenzo Critelli, Francesco Ronchetti, Marco Mulas, Alessandro Corsini, Giampiero Brozzo
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Abstract

An application of the Null-Space Monte Carlo (NSMC) method is presented for the evaluation of exposure to contamination of two aqueduct well fields located in Vara-Magra Valley (La Spezia) on the right (FRX) and left riverbank (FLX). The study involved the implementation of a MODFLOW model, and the next optimization of permeability parameters by assimilating the hydraulic head records collected. The optimization of the parameters was carried out using PEST adopting a high parameterization approach using pilot points and Tikhonov regularizations. Using the NSMC method, a set of permeability realizations was generated and employed to simulate an accidental pollution spill through a particle tracking algorithm, in a point located on the right bank side about 1800 meters upstream from the FLX well field. The results show that the FRX well field is the relatively most exposed target, being reached by contamination in 48% of the simulations, while Magra River and FLX well field were exposed to contamination in 42% and 9% of the simulations, respectively.
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用零空间蒙特卡罗方法评价井田污染暴露
应用零空间蒙特卡罗(NSMC)方法对位于Vara-Magra河谷(La Spezia)右岸(FRX)和左岸(FLX)的两个渡槽井田进行了污染暴露评价。该研究包括MODFLOW模型的实现,以及通过吸收收集到的水头记录来优化渗透率参数。采用基于先导点和Tikhonov正则化的高参数化方法,采用PEST进行参数优化。利用NSMC方法,生成了一组渗透率实现,并通过粒子跟踪算法,在FLX井场上游约1800米的右岸点上模拟了一次意外污染泄漏。结果表明,FRX井田是相对暴露最多的目标,污染达到的模拟比例为48%,而Magra River和FLX井田分别为42%和9%。
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来源期刊
Rendiconti Online Societa Geologica Italiana
Rendiconti Online Societa Geologica Italiana GEOSCIENCES, MULTIDISCIPLINARY-
CiteScore
0.80
自引率
0.00%
发文量
19
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