Estimation of pollution sources and hydraulic conductivity field in a coastal aquifer under tidal effects

In the past decades, most of the efforts have often been invested in the joint identification of contamination and hydraulic conductivity field in inland subsurface aquifers. However, the booming economy and dense population around the coast have brought a new challenge to the forefront: the serious...

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Published inMarine georesources & geotechnology Vol. 42; no. 10; pp. 1415 - 1427
Main Authors Wu, Chao, Jiang, Simin, Xia, Xuemin, Sun, Yue, Li, Zhi, Ju, Mengdie, Li, Si, Liu, Shihui
Format Journal Article
LanguageEnglish
Published Philadelphia Taylor & Francis 02.10.2024
Taylor & Francis Ltd
Subjects
Algorithms
Aquifers
Coastal aquifer
Coastal aquifers
contaminant sources identification
Data collection
Ecological effects
Groundwater
Groundwater pollution
Heterogeneity
Hydraulic conductivity
Hydraulics
inverse problem
Inverse problems
Multilayers
Parameter identification
Pollutants
Pollution
Pollution sources
Saline water intrusion
Salinity data
Salt water intrusion
Seawater
seawater intrusion
Tidal effects
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Abstract In the past decades, most of the efforts have often been invested in the joint identification of contamination and hydraulic conductivity field in inland subsurface aquifers. However, the booming economy and dense population around the coast have brought a new challenge to the forefront: the serious pollution of coastal aquifers. Coastal aquifers are highly vulnerable ecological areas, which are affected by inland pollutants carried by groundwater during its entry into the sea and are also influenced by seawater intrusion. This article addresses the inverse problem of coastal aquifer pollution, which is subject to tidal effects, using the Iterative Local Updating Ensemble Smoother (ILUES) algorithm. The adopted ILUES algorithm is leveraged to efficiently extract pollutant concentration and salinity data for the identification of the source release history and characterization of the hydraulic conductivity field of a site with multiple pollutant sources. This study is based on a variant of the traditional benchmark problem, analyzing the influence of algorithm parameters, tidal effects, and heterogeneity on data assimilation. The article further demonstrates the great potential of ILUES to address new challenges. In addition, the significance of multi-level monitoring wells for the estimation of hydraulic conductivity in coastal multi-layered heterogeneous aquifers is explained.
AbstractList In the past decades, most of the efforts have often been invested in the joint identification of contamination and hydraulic conductivity field in inland subsurface aquifers. However, the booming economy and dense population around the coast have brought a new challenge to the forefront: the serious pollution of coastal aquifers. Coastal aquifers are highly vulnerable ecological areas, which are affected by inland pollutants carried by groundwater during its entry into the sea and are also influenced by seawater intrusion. This article addresses the inverse problem of coastal aquifer pollution, which is subject to tidal effects, using the Iterative Local Updating Ensemble Smoother (ILUES) algorithm. The adopted ILUES algorithm is leveraged to efficiently extract pollutant concentration and salinity data for the identification of the source release history and characterization of the hydraulic conductivity field of a site with multiple pollutant sources. This study is based on a variant of the traditional benchmark problem, analyzing the influence of algorithm parameters, tidal effects, and heterogeneity on data assimilation. The article further demonstrates the great potential of ILUES to address new challenges. In addition, the significance of multi-level monitoring wells for the estimation of hydraulic conductivity in coastal multi-layered heterogeneous aquifers is explained.
Author Wu, Chao
Sun, Yue
Jiang, Simin
Liu, Shihui
Li, Zhi
Li, Si
Ju, Mengdie
Xia, Xuemin
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Snippet In the past decades, most of the efforts have often been invested in the joint identification of contamination and hydraulic conductivity field in inland...
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SubjectTerms Algorithms
Aquifers
Coastal aquifer
Coastal aquifers
contaminant sources identification
Data collection
Ecological effects
Groundwater
Groundwater pollution
Heterogeneity
Hydraulic conductivity
Hydraulics
inverse problem
Inverse problems
Multilayers
Parameter identification
Pollutants
Pollution
Pollution sources
Saline water intrusion
Salinity data
Salt water intrusion
Seawater
seawater intrusion
Tidal effects
Title Estimation of pollution sources and hydraulic conductivity field in a coastal aquifer under tidal effects
URI https://www.tandfonline.com/doi/abs/10.1080/1064119X.2023.2280636
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