Application of Geophysical and Hydrogeochemical Methods to the Protection of Drinking Groundwater in Karst Regions
To provide theoretical support for the protection of centralized drinking groundwater sources in karst areas, it is necessary to accurately identify the development of karst conduits and analyze the differences in hydrogeochemical characteristics of different karst systems. This provides a scientifi...
Ausführliche Beschreibung
Autor*in: |
Kai Song [verfasserIn] Guangxu Yang [verfasserIn] Fei Wang [verfasserIn] Jian Liu [verfasserIn] Dan Liu [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2020 |
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Schlagwörter: |
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Übergeordnetes Werk: |
In: International Journal of Environmental Research and Public Health - MDPI AG, 2005, 17(2020), 3627, p 3627 |
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Übergeordnetes Werk: |
volume:17 ; year:2020 ; number:3627, p 3627 |
Links: |
Link aufrufen |
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DOI / URN: |
10.3390/ijerph17103627 |
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Katalog-ID: |
DOAJ024860603 |
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520 | |a To provide theoretical support for the protection of centralized drinking groundwater sources in karst areas, it is necessary to accurately identify the development of karst conduits and analyze the differences in hydrogeochemical characteristics of different karst systems. This provides a scientific basis for the accurate designation of risk zones that may cause drinking groundwater pollution. In this study, a geophysical survey, hydrogeological chemical process analysis and optimized fuzzy cluster analysis were used to gradually improve the understanding of karst water systems. AMT and HDR methods were used to calibrate the resistivity around the water-filling karst conduits, which ranged from 39 to 100 Ω•m. A total of seven karst systems were identified, including four karst systems in the north of the study area, one karst system in the west and two karst systems in the south. Analysis of the hydrochemical data showed that HCO<sub<3</sub<-Ca and HCO<sub<3</sub<-Mg-Ca types accounted for 90% of all samples. The δD and δ<sup<18</sup<O values of their main conduits were −51.70‰ to −38.30‰ and −7.99‰ to −5.96‰, respectively. The optimized fuzzy clustering analysis method based on the weight of variables assigned by AHP more accurately verified karst water systems. Based on these findings, the drinking groundwater source risk zone was designated with an area of 33.90 km<sup<2</sup<, accounting for 34.5% of the study area. This study effectively improved the rationality and accuracy of the designation of drinking groundwater source risk zones in karst areas, and provided a scientific basis for the identification of karst water systems and decision-making of drinking groundwater source protection in karst areas. | ||
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10.3390/ijerph17103627 doi (DE-627)DOAJ024860603 (DE-599)DOAJ0c2e269df2294630a1f34cebd7cb8895 DE-627 ger DE-627 rakwb eng Kai Song verfasserin aut Application of Geophysical and Hydrogeochemical Methods to the Protection of Drinking Groundwater in Karst Regions 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier To provide theoretical support for the protection of centralized drinking groundwater sources in karst areas, it is necessary to accurately identify the development of karst conduits and analyze the differences in hydrogeochemical characteristics of different karst systems. This provides a scientific basis for the accurate designation of risk zones that may cause drinking groundwater pollution. In this study, a geophysical survey, hydrogeological chemical process analysis and optimized fuzzy cluster analysis were used to gradually improve the understanding of karst water systems. AMT and HDR methods were used to calibrate the resistivity around the water-filling karst conduits, which ranged from 39 to 100 Ω•m. A total of seven karst systems were identified, including four karst systems in the north of the study area, one karst system in the west and two karst systems in the south. Analysis of the hydrochemical data showed that HCO<sub<3</sub<-Ca and HCO<sub<3</sub<-Mg-Ca types accounted for 90% of all samples. The δD and δ<sup<18</sup<O values of their main conduits were −51.70‰ to −38.30‰ and −7.99‰ to −5.96‰, respectively. The optimized fuzzy clustering analysis method based on the weight of variables assigned by AHP more accurately verified karst water systems. Based on these findings, the drinking groundwater source risk zone was designated with an area of 33.90 km<sup<2</sup<, accounting for 34.5% of the study area. This study effectively improved the rationality and accuracy of the designation of drinking groundwater source risk zones in karst areas, and provided a scientific basis for the identification of karst water systems and decision-making of drinking groundwater source protection in karst areas. karst conduit systems drinking groundwater source hydrochemical process water–rock interaction Medicine R Guangxu Yang verfasserin aut Fei Wang verfasserin aut Jian Liu verfasserin aut Dan Liu verfasserin aut In International Journal of Environmental Research and Public Health MDPI AG, 2005 17(2020), 3627, p 3627 (DE-627)477992463 (DE-600)2175195-X 16604601 nnns volume:17 year:2020 number:3627, p 3627 https://doi.org/10.3390/ijerph17103627 kostenfrei https://doaj.org/article/0c2e269df2294630a1f34cebd7cb8895 kostenfrei https://www.mdpi.com/1660-4601/17/10/3627 kostenfrei https://doaj.org/toc/1661-7827 Journal toc kostenfrei https://doaj.org/toc/1660-4601 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2020 3627, p 3627 |
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10.3390/ijerph17103627 doi (DE-627)DOAJ024860603 (DE-599)DOAJ0c2e269df2294630a1f34cebd7cb8895 DE-627 ger DE-627 rakwb eng Kai Song verfasserin aut Application of Geophysical and Hydrogeochemical Methods to the Protection of Drinking Groundwater in Karst Regions 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier To provide theoretical support for the protection of centralized drinking groundwater sources in karst areas, it is necessary to accurately identify the development of karst conduits and analyze the differences in hydrogeochemical characteristics of different karst systems. This provides a scientific basis for the accurate designation of risk zones that may cause drinking groundwater pollution. In this study, a geophysical survey, hydrogeological chemical process analysis and optimized fuzzy cluster analysis were used to gradually improve the understanding of karst water systems. AMT and HDR methods were used to calibrate the resistivity around the water-filling karst conduits, which ranged from 39 to 100 Ω•m. A total of seven karst systems were identified, including four karst systems in the north of the study area, one karst system in the west and two karst systems in the south. Analysis of the hydrochemical data showed that HCO<sub<3</sub<-Ca and HCO<sub<3</sub<-Mg-Ca types accounted for 90% of all samples. The δD and δ<sup<18</sup<O values of their main conduits were −51.70‰ to −38.30‰ and −7.99‰ to −5.96‰, respectively. The optimized fuzzy clustering analysis method based on the weight of variables assigned by AHP more accurately verified karst water systems. Based on these findings, the drinking groundwater source risk zone was designated with an area of 33.90 km<sup<2</sup<, accounting for 34.5% of the study area. This study effectively improved the rationality and accuracy of the designation of drinking groundwater source risk zones in karst areas, and provided a scientific basis for the identification of karst water systems and decision-making of drinking groundwater source protection in karst areas. karst conduit systems drinking groundwater source hydrochemical process water–rock interaction Medicine R Guangxu Yang verfasserin aut Fei Wang verfasserin aut Jian Liu verfasserin aut Dan Liu verfasserin aut In International Journal of Environmental Research and Public Health MDPI AG, 2005 17(2020), 3627, p 3627 (DE-627)477992463 (DE-600)2175195-X 16604601 nnns volume:17 year:2020 number:3627, p 3627 https://doi.org/10.3390/ijerph17103627 kostenfrei https://doaj.org/article/0c2e269df2294630a1f34cebd7cb8895 kostenfrei https://www.mdpi.com/1660-4601/17/10/3627 kostenfrei https://doaj.org/toc/1661-7827 Journal toc kostenfrei https://doaj.org/toc/1660-4601 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2020 3627, p 3627 |
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10.3390/ijerph17103627 doi (DE-627)DOAJ024860603 (DE-599)DOAJ0c2e269df2294630a1f34cebd7cb8895 DE-627 ger DE-627 rakwb eng Kai Song verfasserin aut Application of Geophysical and Hydrogeochemical Methods to the Protection of Drinking Groundwater in Karst Regions 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier To provide theoretical support for the protection of centralized drinking groundwater sources in karst areas, it is necessary to accurately identify the development of karst conduits and analyze the differences in hydrogeochemical characteristics of different karst systems. This provides a scientific basis for the accurate designation of risk zones that may cause drinking groundwater pollution. In this study, a geophysical survey, hydrogeological chemical process analysis and optimized fuzzy cluster analysis were used to gradually improve the understanding of karst water systems. AMT and HDR methods were used to calibrate the resistivity around the water-filling karst conduits, which ranged from 39 to 100 Ω•m. A total of seven karst systems were identified, including four karst systems in the north of the study area, one karst system in the west and two karst systems in the south. Analysis of the hydrochemical data showed that HCO<sub<3</sub<-Ca and HCO<sub<3</sub<-Mg-Ca types accounted for 90% of all samples. The δD and δ<sup<18</sup<O values of their main conduits were −51.70‰ to −38.30‰ and −7.99‰ to −5.96‰, respectively. The optimized fuzzy clustering analysis method based on the weight of variables assigned by AHP more accurately verified karst water systems. Based on these findings, the drinking groundwater source risk zone was designated with an area of 33.90 km<sup<2</sup<, accounting for 34.5% of the study area. This study effectively improved the rationality and accuracy of the designation of drinking groundwater source risk zones in karst areas, and provided a scientific basis for the identification of karst water systems and decision-making of drinking groundwater source protection in karst areas. karst conduit systems drinking groundwater source hydrochemical process water–rock interaction Medicine R Guangxu Yang verfasserin aut Fei Wang verfasserin aut Jian Liu verfasserin aut Dan Liu verfasserin aut In International Journal of Environmental Research and Public Health MDPI AG, 2005 17(2020), 3627, p 3627 (DE-627)477992463 (DE-600)2175195-X 16604601 nnns volume:17 year:2020 number:3627, p 3627 https://doi.org/10.3390/ijerph17103627 kostenfrei https://doaj.org/article/0c2e269df2294630a1f34cebd7cb8895 kostenfrei https://www.mdpi.com/1660-4601/17/10/3627 kostenfrei https://doaj.org/toc/1661-7827 Journal toc kostenfrei https://doaj.org/toc/1660-4601 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2020 3627, p 3627 |
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10.3390/ijerph17103627 doi (DE-627)DOAJ024860603 (DE-599)DOAJ0c2e269df2294630a1f34cebd7cb8895 DE-627 ger DE-627 rakwb eng Kai Song verfasserin aut Application of Geophysical and Hydrogeochemical Methods to the Protection of Drinking Groundwater in Karst Regions 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier To provide theoretical support for the protection of centralized drinking groundwater sources in karst areas, it is necessary to accurately identify the development of karst conduits and analyze the differences in hydrogeochemical characteristics of different karst systems. This provides a scientific basis for the accurate designation of risk zones that may cause drinking groundwater pollution. In this study, a geophysical survey, hydrogeological chemical process analysis and optimized fuzzy cluster analysis were used to gradually improve the understanding of karst water systems. AMT and HDR methods were used to calibrate the resistivity around the water-filling karst conduits, which ranged from 39 to 100 Ω•m. A total of seven karst systems were identified, including four karst systems in the north of the study area, one karst system in the west and two karst systems in the south. Analysis of the hydrochemical data showed that HCO<sub<3</sub<-Ca and HCO<sub<3</sub<-Mg-Ca types accounted for 90% of all samples. The δD and δ<sup<18</sup<O values of their main conduits were −51.70‰ to −38.30‰ and −7.99‰ to −5.96‰, respectively. The optimized fuzzy clustering analysis method based on the weight of variables assigned by AHP more accurately verified karst water systems. Based on these findings, the drinking groundwater source risk zone was designated with an area of 33.90 km<sup<2</sup<, accounting for 34.5% of the study area. This study effectively improved the rationality and accuracy of the designation of drinking groundwater source risk zones in karst areas, and provided a scientific basis for the identification of karst water systems and decision-making of drinking groundwater source protection in karst areas. karst conduit systems drinking groundwater source hydrochemical process water–rock interaction Medicine R Guangxu Yang verfasserin aut Fei Wang verfasserin aut Jian Liu verfasserin aut Dan Liu verfasserin aut In International Journal of Environmental Research and Public Health MDPI AG, 2005 17(2020), 3627, p 3627 (DE-627)477992463 (DE-600)2175195-X 16604601 nnns volume:17 year:2020 number:3627, p 3627 https://doi.org/10.3390/ijerph17103627 kostenfrei https://doaj.org/article/0c2e269df2294630a1f34cebd7cb8895 kostenfrei https://www.mdpi.com/1660-4601/17/10/3627 kostenfrei https://doaj.org/toc/1661-7827 Journal toc kostenfrei https://doaj.org/toc/1660-4601 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2020 3627, p 3627 |
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10.3390/ijerph17103627 doi (DE-627)DOAJ024860603 (DE-599)DOAJ0c2e269df2294630a1f34cebd7cb8895 DE-627 ger DE-627 rakwb eng Kai Song verfasserin aut Application of Geophysical and Hydrogeochemical Methods to the Protection of Drinking Groundwater in Karst Regions 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier To provide theoretical support for the protection of centralized drinking groundwater sources in karst areas, it is necessary to accurately identify the development of karst conduits and analyze the differences in hydrogeochemical characteristics of different karst systems. This provides a scientific basis for the accurate designation of risk zones that may cause drinking groundwater pollution. In this study, a geophysical survey, hydrogeological chemical process analysis and optimized fuzzy cluster analysis were used to gradually improve the understanding of karst water systems. AMT and HDR methods were used to calibrate the resistivity around the water-filling karst conduits, which ranged from 39 to 100 Ω•m. A total of seven karst systems were identified, including four karst systems in the north of the study area, one karst system in the west and two karst systems in the south. Analysis of the hydrochemical data showed that HCO<sub<3</sub<-Ca and HCO<sub<3</sub<-Mg-Ca types accounted for 90% of all samples. The δD and δ<sup<18</sup<O values of their main conduits were −51.70‰ to −38.30‰ and −7.99‰ to −5.96‰, respectively. The optimized fuzzy clustering analysis method based on the weight of variables assigned by AHP more accurately verified karst water systems. Based on these findings, the drinking groundwater source risk zone was designated with an area of 33.90 km<sup<2</sup<, accounting for 34.5% of the study area. This study effectively improved the rationality and accuracy of the designation of drinking groundwater source risk zones in karst areas, and provided a scientific basis for the identification of karst water systems and decision-making of drinking groundwater source protection in karst areas. karst conduit systems drinking groundwater source hydrochemical process water–rock interaction Medicine R Guangxu Yang verfasserin aut Fei Wang verfasserin aut Jian Liu verfasserin aut Dan Liu verfasserin aut In International Journal of Environmental Research and Public Health MDPI AG, 2005 17(2020), 3627, p 3627 (DE-627)477992463 (DE-600)2175195-X 16604601 nnns volume:17 year:2020 number:3627, p 3627 https://doi.org/10.3390/ijerph17103627 kostenfrei https://doaj.org/article/0c2e269df2294630a1f34cebd7cb8895 kostenfrei https://www.mdpi.com/1660-4601/17/10/3627 kostenfrei https://doaj.org/toc/1661-7827 Journal toc kostenfrei https://doaj.org/toc/1660-4601 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2020 3627, p 3627 |
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Application of Geophysical and Hydrogeochemical Methods to the Protection of Drinking Groundwater in Karst Regions karst conduit systems drinking groundwater source hydrochemical process water–rock interaction |
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Application of Geophysical and Hydrogeochemical Methods to the Protection of Drinking Groundwater in Karst Regions |
abstract |
To provide theoretical support for the protection of centralized drinking groundwater sources in karst areas, it is necessary to accurately identify the development of karst conduits and analyze the differences in hydrogeochemical characteristics of different karst systems. This provides a scientific basis for the accurate designation of risk zones that may cause drinking groundwater pollution. In this study, a geophysical survey, hydrogeological chemical process analysis and optimized fuzzy cluster analysis were used to gradually improve the understanding of karst water systems. AMT and HDR methods were used to calibrate the resistivity around the water-filling karst conduits, which ranged from 39 to 100 Ω•m. A total of seven karst systems were identified, including four karst systems in the north of the study area, one karst system in the west and two karst systems in the south. Analysis of the hydrochemical data showed that HCO<sub<3</sub<-Ca and HCO<sub<3</sub<-Mg-Ca types accounted for 90% of all samples. The δD and δ<sup<18</sup<O values of their main conduits were −51.70‰ to −38.30‰ and −7.99‰ to −5.96‰, respectively. The optimized fuzzy clustering analysis method based on the weight of variables assigned by AHP more accurately verified karst water systems. Based on these findings, the drinking groundwater source risk zone was designated with an area of 33.90 km<sup<2</sup<, accounting for 34.5% of the study area. This study effectively improved the rationality and accuracy of the designation of drinking groundwater source risk zones in karst areas, and provided a scientific basis for the identification of karst water systems and decision-making of drinking groundwater source protection in karst areas. |
abstractGer |
To provide theoretical support for the protection of centralized drinking groundwater sources in karst areas, it is necessary to accurately identify the development of karst conduits and analyze the differences in hydrogeochemical characteristics of different karst systems. This provides a scientific basis for the accurate designation of risk zones that may cause drinking groundwater pollution. In this study, a geophysical survey, hydrogeological chemical process analysis and optimized fuzzy cluster analysis were used to gradually improve the understanding of karst water systems. AMT and HDR methods were used to calibrate the resistivity around the water-filling karst conduits, which ranged from 39 to 100 Ω•m. A total of seven karst systems were identified, including four karst systems in the north of the study area, one karst system in the west and two karst systems in the south. Analysis of the hydrochemical data showed that HCO<sub<3</sub<-Ca and HCO<sub<3</sub<-Mg-Ca types accounted for 90% of all samples. The δD and δ<sup<18</sup<O values of their main conduits were −51.70‰ to −38.30‰ and −7.99‰ to −5.96‰, respectively. The optimized fuzzy clustering analysis method based on the weight of variables assigned by AHP more accurately verified karst water systems. Based on these findings, the drinking groundwater source risk zone was designated with an area of 33.90 km<sup<2</sup<, accounting for 34.5% of the study area. This study effectively improved the rationality and accuracy of the designation of drinking groundwater source risk zones in karst areas, and provided a scientific basis for the identification of karst water systems and decision-making of drinking groundwater source protection in karst areas. |
abstract_unstemmed |
To provide theoretical support for the protection of centralized drinking groundwater sources in karst areas, it is necessary to accurately identify the development of karst conduits and analyze the differences in hydrogeochemical characteristics of different karst systems. This provides a scientific basis for the accurate designation of risk zones that may cause drinking groundwater pollution. In this study, a geophysical survey, hydrogeological chemical process analysis and optimized fuzzy cluster analysis were used to gradually improve the understanding of karst water systems. AMT and HDR methods were used to calibrate the resistivity around the water-filling karst conduits, which ranged from 39 to 100 Ω•m. A total of seven karst systems were identified, including four karst systems in the north of the study area, one karst system in the west and two karst systems in the south. Analysis of the hydrochemical data showed that HCO<sub<3</sub<-Ca and HCO<sub<3</sub<-Mg-Ca types accounted for 90% of all samples. The δD and δ<sup<18</sup<O values of their main conduits were −51.70‰ to −38.30‰ and −7.99‰ to −5.96‰, respectively. The optimized fuzzy clustering analysis method based on the weight of variables assigned by AHP more accurately verified karst water systems. Based on these findings, the drinking groundwater source risk zone was designated with an area of 33.90 km<sup<2</sup<, accounting for 34.5% of the study area. This study effectively improved the rationality and accuracy of the designation of drinking groundwater source risk zones in karst areas, and provided a scientific basis for the identification of karst water systems and decision-making of drinking groundwater source protection in karst areas. |
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The optimized fuzzy clustering analysis method based on the weight of variables assigned by AHP more accurately verified karst water systems. Based on these findings, the drinking groundwater source risk zone was designated with an area of 33.90 km<sup<2</sup<, accounting for 34.5% of the study area. 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