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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IWA Publishing
2021
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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) |
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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 |
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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 |
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1718443779057254400 |