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Spatial Variability of Groundwater Arsenic Concentration as Controlled by Hydrogeology: Conceptual Analysis Using 2‐D Reactive Transport Modeling

Combined geological, hydrogeological, and geochemical controls on the arsenic concentration of contaminated aquifers in SE Asia were explored by two‐dimensional (2‐D) reactive transport modeling of data sets from Bangladesh, Cambodia, and Vietnam. For each site, the field data are summarized and use...

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Autores principales: Jakobsen, Rasmus, Kazmierczak, Jolanta, Sø, Helle Ugilt, Postma, Dieke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6472640/
https://www.ncbi.nlm.nih.gov/pubmed/31007297
http://dx.doi.org/10.1029/2018WR023685
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author Jakobsen, Rasmus
Kazmierczak, Jolanta
Sø, Helle Ugilt
Postma, Dieke
author_facet Jakobsen, Rasmus
Kazmierczak, Jolanta
Sø, Helle Ugilt
Postma, Dieke
author_sort Jakobsen, Rasmus
collection PubMed
description Combined geological, hydrogeological, and geochemical controls on the arsenic concentration of contaminated aquifers in SE Asia were explored by two‐dimensional (2‐D) reactive transport modeling of data sets from Bangladesh, Cambodia, and Vietnam. For each site, the field data are summarized and used to create a conceptual 2‐D reactive transport model that elucidates characteristic features influencing the groundwater arsenic concentration. Comparison of models for Bangladesh and Vietnam indicates that fine‐grained layers overlying young sandy aquifers generate shallow high arsenic groundwater because low vertical groundwater velocities allow sufficient time for kinetic As release from the sediment. The low vertical groundwater velocity below major river channels, predicted by the model, also creates long groundwater residence times, leading to high arsenic groundwater. Young aquifer sediments release more arsenic than older sediments, and alternating young and older sediments create complex patterns of high and low arsenic groundwater. Over time, floodplain basins will subside, and river channels migrate, causing sedimentation and erosion on the floodplain while creating local environments with evolving hydrogeology and groundwater geochemistry. We have developed a three‐step model for the evolution of the Red River floodplain with sedimentation and shifting channels over the last 6000 years. The results show comparable timescales between the dynamics of arsenic release and of river migration, causing complex groundwater As distributions, comprising geochemical palinopsia of long vanished rivers.
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spelling pubmed-64726402019-04-19 Spatial Variability of Groundwater Arsenic Concentration as Controlled by Hydrogeology: Conceptual Analysis Using 2‐D Reactive Transport Modeling Jakobsen, Rasmus Kazmierczak, Jolanta Sø, Helle Ugilt Postma, Dieke Water Resour Res Research Articles Combined geological, hydrogeological, and geochemical controls on the arsenic concentration of contaminated aquifers in SE Asia were explored by two‐dimensional (2‐D) reactive transport modeling of data sets from Bangladesh, Cambodia, and Vietnam. For each site, the field data are summarized and used to create a conceptual 2‐D reactive transport model that elucidates characteristic features influencing the groundwater arsenic concentration. Comparison of models for Bangladesh and Vietnam indicates that fine‐grained layers overlying young sandy aquifers generate shallow high arsenic groundwater because low vertical groundwater velocities allow sufficient time for kinetic As release from the sediment. The low vertical groundwater velocity below major river channels, predicted by the model, also creates long groundwater residence times, leading to high arsenic groundwater. Young aquifer sediments release more arsenic than older sediments, and alternating young and older sediments create complex patterns of high and low arsenic groundwater. Over time, floodplain basins will subside, and river channels migrate, causing sedimentation and erosion on the floodplain while creating local environments with evolving hydrogeology and groundwater geochemistry. We have developed a three‐step model for the evolution of the Red River floodplain with sedimentation and shifting channels over the last 6000 years. The results show comparable timescales between the dynamics of arsenic release and of river migration, causing complex groundwater As distributions, comprising geochemical palinopsia of long vanished rivers. John Wiley and Sons Inc. 2018-12-26 2018-12 /pmc/articles/PMC6472640/ /pubmed/31007297 http://dx.doi.org/10.1029/2018WR023685 Text en ©2018. The Authors. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Jakobsen, Rasmus
Kazmierczak, Jolanta
Sø, Helle Ugilt
Postma, Dieke
Spatial Variability of Groundwater Arsenic Concentration as Controlled by Hydrogeology: Conceptual Analysis Using 2‐D Reactive Transport Modeling
title Spatial Variability of Groundwater Arsenic Concentration as Controlled by Hydrogeology: Conceptual Analysis Using 2‐D Reactive Transport Modeling
title_full Spatial Variability of Groundwater Arsenic Concentration as Controlled by Hydrogeology: Conceptual Analysis Using 2‐D Reactive Transport Modeling
title_fullStr Spatial Variability of Groundwater Arsenic Concentration as Controlled by Hydrogeology: Conceptual Analysis Using 2‐D Reactive Transport Modeling
title_full_unstemmed Spatial Variability of Groundwater Arsenic Concentration as Controlled by Hydrogeology: Conceptual Analysis Using 2‐D Reactive Transport Modeling
title_short Spatial Variability of Groundwater Arsenic Concentration as Controlled by Hydrogeology: Conceptual Analysis Using 2‐D Reactive Transport Modeling
title_sort spatial variability of groundwater arsenic concentration as controlled by hydrogeology: conceptual analysis using 2‐d reactive transport modeling
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6472640/
https://www.ncbi.nlm.nih.gov/pubmed/31007297
http://dx.doi.org/10.1029/2018WR023685
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