Modified DRASTIC model for groundwater vulnerability to nitrate contamination in the Dagujia river basin, China

Due to rapid economic growth and over-exploitation of groundwater, nitrate pollution in groundwater has become very serious. The main objective of this study is to modify the DRASTIC model to identify groundwater vulnerability to nitrate pollution. The DRASTIC model was firstly used to analyze the i...

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Autores principales: Aihua Wei, Pan Bi, Jie Guo, Shuai Lu, Duo Li
Formato: article
Lenguaje:EN
Publicado: IWA Publishing 2021
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Acceso en línea:https://doaj.org/article/1adea06b748b4cd9a41a3b3d07a909f0
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spelling oai:doaj.org-article:1adea06b748b4cd9a41a3b3d07a909f02021-11-06T07:15:43ZModified DRASTIC model for groundwater vulnerability to nitrate contamination in the Dagujia river basin, China1606-97491607-079810.2166/ws.2021.018https://doaj.org/article/1adea06b748b4cd9a41a3b3d07a909f02021-06-01T00:00:00Zhttp://ws.iwaponline.com/content/21/4/1793https://doaj.org/toc/1606-9749https://doaj.org/toc/1607-0798Due to rapid economic growth and over-exploitation of groundwater, nitrate pollution in groundwater has become very serious. The main objective of this study is to modify the DRASTIC model to identify groundwater vulnerability to nitrate pollution. The DRASTIC model was firstly used to analyze the intrinsic vulnerability. The DRASTIC model with the inclusion of a land-use factor (DRASTIC-LU) was put forward to map the specific vulnerability of groundwater. Furthermore, the support vector machine (SVM) was introduced to avoid the drawback of the overlay and index methods, and the improved integrated models of DRASTIC + SVM and DRASTIC-LU + SVM were built. Moreover, 103 groundwater samples were collected for building and validating the models. The Root Mean Squared Error (RMSE) of DRASTIC, DRASTIC-LU, DRASTIC + SVM, and DRASTIC-LU + SVM was found to be 0.853, 0.755, 0.631, and 0.502, respectively. The model DRASTIC-LU was more precise than the original one. The results also showed that the integrated model using SVM exhibited better correlation between the vulnerability value and the nitrate pollution. The study indicated that the modified models including the land-use factor as well as SVM in the DRASTIC model were more suitable to assess the groundwater vulnerability to nitrate. HIGHLIGHTS The improved DRASTIC-LU model was put forward to delineate groundwater specific vulnerability.; Support vector machine was introduced to further build the novel integrated model to analyze the intrinsic and specific vulnerability of groundwater.;Aihua WeiPan BiJie GuoShuai LuDuo LiIWA Publishingarticledrasticintegrated modelland-usenitrate pollutionsvmvulnerabilityWater supply for domestic and industrial purposesTD201-500River, lake, and water-supply engineering (General)TC401-506ENWater Supply, Vol 21, Iss 4, Pp 1793-1805 (2021)
institution DOAJ
collection DOAJ
language EN
topic drastic
integrated model
land-use
nitrate pollution
svm
vulnerability
Water supply for domestic and industrial purposes
TD201-500
River, lake, and water-supply engineering (General)
TC401-506
spellingShingle drastic
integrated model
land-use
nitrate pollution
svm
vulnerability
Water supply for domestic and industrial purposes
TD201-500
River, lake, and water-supply engineering (General)
TC401-506
Aihua Wei
Pan Bi
Jie Guo
Shuai Lu
Duo Li
Modified DRASTIC model for groundwater vulnerability to nitrate contamination in the Dagujia river basin, China
description Due to rapid economic growth and over-exploitation of groundwater, nitrate pollution in groundwater has become very serious. The main objective of this study is to modify the DRASTIC model to identify groundwater vulnerability to nitrate pollution. The DRASTIC model was firstly used to analyze the intrinsic vulnerability. The DRASTIC model with the inclusion of a land-use factor (DRASTIC-LU) was put forward to map the specific vulnerability of groundwater. Furthermore, the support vector machine (SVM) was introduced to avoid the drawback of the overlay and index methods, and the improved integrated models of DRASTIC + SVM and DRASTIC-LU + SVM were built. Moreover, 103 groundwater samples were collected for building and validating the models. The Root Mean Squared Error (RMSE) of DRASTIC, DRASTIC-LU, DRASTIC + SVM, and DRASTIC-LU + SVM was found to be 0.853, 0.755, 0.631, and 0.502, respectively. The model DRASTIC-LU was more precise than the original one. The results also showed that the integrated model using SVM exhibited better correlation between the vulnerability value and the nitrate pollution. The study indicated that the modified models including the land-use factor as well as SVM in the DRASTIC model were more suitable to assess the groundwater vulnerability to nitrate. HIGHLIGHTS The improved DRASTIC-LU model was put forward to delineate groundwater specific vulnerability.; Support vector machine was introduced to further build the novel integrated model to analyze the intrinsic and specific vulnerability of groundwater.;
format article
author Aihua Wei
Pan Bi
Jie Guo
Shuai Lu
Duo Li
author_facet Aihua Wei
Pan Bi
Jie Guo
Shuai Lu
Duo Li
author_sort Aihua Wei
title Modified DRASTIC model for groundwater vulnerability to nitrate contamination in the Dagujia river basin, China
title_short Modified DRASTIC model for groundwater vulnerability to nitrate contamination in the Dagujia river basin, China
title_full Modified DRASTIC model for groundwater vulnerability to nitrate contamination in the Dagujia river basin, China
title_fullStr Modified DRASTIC model for groundwater vulnerability to nitrate contamination in the Dagujia river basin, China
title_full_unstemmed Modified DRASTIC model for groundwater vulnerability to nitrate contamination in the Dagujia river basin, China
title_sort modified drastic model for groundwater vulnerability to nitrate contamination in the dagujia river basin, china
publisher IWA Publishing
publishDate 2021
url https://doaj.org/article/1adea06b748b4cd9a41a3b3d07a909f0
work_keys_str_mv AT aihuawei modifieddrasticmodelforgroundwatervulnerabilitytonitratecontaminationinthedagujiariverbasinchina
AT panbi modifieddrasticmodelforgroundwatervulnerabilitytonitratecontaminationinthedagujiariverbasinchina
AT jieguo modifieddrasticmodelforgroundwatervulnerabilitytonitratecontaminationinthedagujiariverbasinchina
AT shuailu modifieddrasticmodelforgroundwatervulnerabilitytonitratecontaminationinthedagujiariverbasinchina
AT duoli modifieddrasticmodelforgroundwatervulnerabilitytonitratecontaminationinthedagujiariverbasinchina
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