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Identification of dominating factors affecting vadose zone vulnerability by a simulation method
The characteristics of vadose zone vulnerability dominating factors (VDFs) are closely related to the migration and transformation mechanisms of contaminants in the vadose zone, which directly affect the state of the contaminants percolating to the groundwater. This study analyzes the hydrogeologica...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5384093/ https://www.ncbi.nlm.nih.gov/pubmed/28387232 http://dx.doi.org/10.1038/srep45955 |
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author | Li, Juan Xi, Beidou Cai, Wutian Yang, Yang Jia, Yongfeng Li, Xiang Lv, Yonggao Lv, Ningqing Huan, Huan Yang, Jinjin |
author_facet | Li, Juan Xi, Beidou Cai, Wutian Yang, Yang Jia, Yongfeng Li, Xiang Lv, Yonggao Lv, Ningqing Huan, Huan Yang, Jinjin |
author_sort | Li, Juan |
collection | PubMed |
description | The characteristics of vadose zone vulnerability dominating factors (VDFs) are closely related to the migration and transformation mechanisms of contaminants in the vadose zone, which directly affect the state of the contaminants percolating to the groundwater. This study analyzes the hydrogeological profile of the pore water regions in the vadose zone, and conceptualizes the vadose zone as single lithologic, double lithologic, or multi lithologic. To accurately determine how the location of the pollution source influences the groundwater, we classify the permeabilities (thicknesses) of different media into clay-layer and non-clay-layer permeabilities (thicknesses), and introduce the maximum pollution thickness. Meanwhile, the physicochemical reactions of the contaminants in the vadose zone are represented by the soil adsorption and soil degradability. The VDFs are determined from the factors and parameters in groundwater vulnerability assessment. The VDFs are identified and sequenced in simulations and a sensitivity analysis. When applied to three polluted sites in China, the method improved the weighting of factors in groundwater vulnerability assessment, and increased the reliability of predicting groundwater vulnerability to contaminants. |
format | Online Article Text |
id | pubmed-5384093 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-53840932017-04-11 Identification of dominating factors affecting vadose zone vulnerability by a simulation method Li, Juan Xi, Beidou Cai, Wutian Yang, Yang Jia, Yongfeng Li, Xiang Lv, Yonggao Lv, Ningqing Huan, Huan Yang, Jinjin Sci Rep Article The characteristics of vadose zone vulnerability dominating factors (VDFs) are closely related to the migration and transformation mechanisms of contaminants in the vadose zone, which directly affect the state of the contaminants percolating to the groundwater. This study analyzes the hydrogeological profile of the pore water regions in the vadose zone, and conceptualizes the vadose zone as single lithologic, double lithologic, or multi lithologic. To accurately determine how the location of the pollution source influences the groundwater, we classify the permeabilities (thicknesses) of different media into clay-layer and non-clay-layer permeabilities (thicknesses), and introduce the maximum pollution thickness. Meanwhile, the physicochemical reactions of the contaminants in the vadose zone are represented by the soil adsorption and soil degradability. The VDFs are determined from the factors and parameters in groundwater vulnerability assessment. The VDFs are identified and sequenced in simulations and a sensitivity analysis. When applied to three polluted sites in China, the method improved the weighting of factors in groundwater vulnerability assessment, and increased the reliability of predicting groundwater vulnerability to contaminants. Nature Publishing Group 2017-04-07 /pmc/articles/PMC5384093/ /pubmed/28387232 http://dx.doi.org/10.1038/srep45955 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Li, Juan Xi, Beidou Cai, Wutian Yang, Yang Jia, Yongfeng Li, Xiang Lv, Yonggao Lv, Ningqing Huan, Huan Yang, Jinjin Identification of dominating factors affecting vadose zone vulnerability by a simulation method |
title | Identification of dominating factors affecting vadose zone vulnerability by a simulation method |
title_full | Identification of dominating factors affecting vadose zone vulnerability by a simulation method |
title_fullStr | Identification of dominating factors affecting vadose zone vulnerability by a simulation method |
title_full_unstemmed | Identification of dominating factors affecting vadose zone vulnerability by a simulation method |
title_short | Identification of dominating factors affecting vadose zone vulnerability by a simulation method |
title_sort | identification of dominating factors affecting vadose zone vulnerability by a simulation method |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5384093/ https://www.ncbi.nlm.nih.gov/pubmed/28387232 http://dx.doi.org/10.1038/srep45955 |
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