Temporal and Spatial Distribution, Ecological Risk Assessment and source Identification of heavy Metals in the Surface Sediments of Lake Taihu Basin, China
Abstract In this study, sediment samples from the 4 regions of Lake Taihu Basin were collected to analyze the distribution characteristics, potential risks and possible sources of heavy metal pollution (Cr, Cu, Zn, As, Cd, Pd and Hg). The results showed that the concentrations and risks from heavy m...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Chang, Wenjie [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2023 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| Übergeordnetes Werk: |
Enthalten in: Water, air & soil pollution - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1971, 234(2023), 10 vom: Okt. |
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| Übergeordnetes Werk: |
volume:234 ; year:2023 ; number:10 ; month:10 |
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| DOI / URN: |
10.1007/s11270-023-06670-5 |
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SPR053372921 |
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| 520 | |a Abstract In this study, sediment samples from the 4 regions of Lake Taihu Basin were collected to analyze the distribution characteristics, potential risks and possible sources of heavy metal pollution (Cr, Cu, Zn, As, Cd, Pd and Hg). The results showed that the concentrations and risks from heavy metals were lower in 2018 than in 2012, while the average concentrations of the 7 heavy metals were lower than the upper chemical exceedance level (UCEL). Spatially, the contents were higher in the eastern plains and Yangtze Riverside regions. The results of the risk assessment indicated that all heavy metals other than Cd were at low-pollution levels. In contrast, Cd showed high risk ($ E^{i} $r 255.425 in 2012, $ E^{i} $r 149.293 in 2018), which led to the high comprehensive potential ecological risk level in the western hilly region in 2012. In 2018, the risk for the entire Lake Taihu Basin decreased to a moderate level. In addition, the results of principal component analysis showed that Zn mainly originated from agriculture and zinc ore, Cd originated from metallurgical industries and pesticides, portions of Cu and Cr may have come from natural sources, and the other portions and other heavy metals mostly came from chemical industries such as electroplating. This study thoroughly analyzed the heavy metal pollution status of the Lake Taihu Basin surface sediments and provided a scientific basis for preventing and controlling water pollution in the region. | ||
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10.1007/s11270-023-06670-5 doi (DE-627)SPR053372921 (SPR)s11270-023-06670-5-e DE-627 ger DE-627 rakwb eng Chang, Wenjie verfasserin aut Temporal and Spatial Distribution, Ecological Risk Assessment and source Identification of heavy Metals in the Surface Sediments of Lake Taihu Basin, China 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract In this study, sediment samples from the 4 regions of Lake Taihu Basin were collected to analyze the distribution characteristics, potential risks and possible sources of heavy metal pollution (Cr, Cu, Zn, As, Cd, Pd and Hg). The results showed that the concentrations and risks from heavy metals were lower in 2018 than in 2012, while the average concentrations of the 7 heavy metals were lower than the upper chemical exceedance level (UCEL). Spatially, the contents were higher in the eastern plains and Yangtze Riverside regions. The results of the risk assessment indicated that all heavy metals other than Cd were at low-pollution levels. In contrast, Cd showed high risk ($ E^{i} $r 255.425 in 2012, $ E^{i} $r 149.293 in 2018), which led to the high comprehensive potential ecological risk level in the western hilly region in 2012. In 2018, the risk for the entire Lake Taihu Basin decreased to a moderate level. In addition, the results of principal component analysis showed that Zn mainly originated from agriculture and zinc ore, Cd originated from metallurgical industries and pesticides, portions of Cu and Cr may have come from natural sources, and the other portions and other heavy metals mostly came from chemical industries such as electroplating. This study thoroughly analyzed the heavy metal pollution status of the Lake Taihu Basin surface sediments and provided a scientific basis for preventing and controlling water pollution in the region. Ecological risk assessment (dpeaa)DE-He213 Heavy metals (dpeaa)DE-He213 Lake Taihu Basin (dpeaa)DE-He213 Pollution sources (dpeaa)DE-He213 Sediments (dpeaa)DE-He213 Temporal and spatial (dpeaa)DE-He213 Shu, Ruiqi aut Sun, Jieli aut Pang, Yong aut Enthalten in Water, air & soil pollution Dordrecht [u.a.] : Springer Science + Business Media B.V, 1971 234(2023), 10 vom: Okt. (DE-627)271349417 (DE-600)1479824-4 1573-2932 nnns volume:234 year:2023 number:10 month:10 https://dx.doi.org/10.1007/s11270-023-06670-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 234 2023 10 10 |
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10.1007/s11270-023-06670-5 doi (DE-627)SPR053372921 (SPR)s11270-023-06670-5-e DE-627 ger DE-627 rakwb eng Chang, Wenjie verfasserin aut Temporal and Spatial Distribution, Ecological Risk Assessment and source Identification of heavy Metals in the Surface Sediments of Lake Taihu Basin, China 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract In this study, sediment samples from the 4 regions of Lake Taihu Basin were collected to analyze the distribution characteristics, potential risks and possible sources of heavy metal pollution (Cr, Cu, Zn, As, Cd, Pd and Hg). The results showed that the concentrations and risks from heavy metals were lower in 2018 than in 2012, while the average concentrations of the 7 heavy metals were lower than the upper chemical exceedance level (UCEL). Spatially, the contents were higher in the eastern plains and Yangtze Riverside regions. The results of the risk assessment indicated that all heavy metals other than Cd were at low-pollution levels. In contrast, Cd showed high risk ($ E^{i} $r 255.425 in 2012, $ E^{i} $r 149.293 in 2018), which led to the high comprehensive potential ecological risk level in the western hilly region in 2012. In 2018, the risk for the entire Lake Taihu Basin decreased to a moderate level. In addition, the results of principal component analysis showed that Zn mainly originated from agriculture and zinc ore, Cd originated from metallurgical industries and pesticides, portions of Cu and Cr may have come from natural sources, and the other portions and other heavy metals mostly came from chemical industries such as electroplating. This study thoroughly analyzed the heavy metal pollution status of the Lake Taihu Basin surface sediments and provided a scientific basis for preventing and controlling water pollution in the region. Ecological risk assessment (dpeaa)DE-He213 Heavy metals (dpeaa)DE-He213 Lake Taihu Basin (dpeaa)DE-He213 Pollution sources (dpeaa)DE-He213 Sediments (dpeaa)DE-He213 Temporal and spatial (dpeaa)DE-He213 Shu, Ruiqi aut Sun, Jieli aut Pang, Yong aut Enthalten in Water, air & soil pollution Dordrecht [u.a.] : Springer Science + Business Media B.V, 1971 234(2023), 10 vom: Okt. (DE-627)271349417 (DE-600)1479824-4 1573-2932 nnns volume:234 year:2023 number:10 month:10 https://dx.doi.org/10.1007/s11270-023-06670-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 234 2023 10 10 |
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10.1007/s11270-023-06670-5 doi (DE-627)SPR053372921 (SPR)s11270-023-06670-5-e DE-627 ger DE-627 rakwb eng Chang, Wenjie verfasserin aut Temporal and Spatial Distribution, Ecological Risk Assessment and source Identification of heavy Metals in the Surface Sediments of Lake Taihu Basin, China 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract In this study, sediment samples from the 4 regions of Lake Taihu Basin were collected to analyze the distribution characteristics, potential risks and possible sources of heavy metal pollution (Cr, Cu, Zn, As, Cd, Pd and Hg). The results showed that the concentrations and risks from heavy metals were lower in 2018 than in 2012, while the average concentrations of the 7 heavy metals were lower than the upper chemical exceedance level (UCEL). Spatially, the contents were higher in the eastern plains and Yangtze Riverside regions. The results of the risk assessment indicated that all heavy metals other than Cd were at low-pollution levels. In contrast, Cd showed high risk ($ E^{i} $r 255.425 in 2012, $ E^{i} $r 149.293 in 2018), which led to the high comprehensive potential ecological risk level in the western hilly region in 2012. In 2018, the risk for the entire Lake Taihu Basin decreased to a moderate level. In addition, the results of principal component analysis showed that Zn mainly originated from agriculture and zinc ore, Cd originated from metallurgical industries and pesticides, portions of Cu and Cr may have come from natural sources, and the other portions and other heavy metals mostly came from chemical industries such as electroplating. This study thoroughly analyzed the heavy metal pollution status of the Lake Taihu Basin surface sediments and provided a scientific basis for preventing and controlling water pollution in the region. Ecological risk assessment (dpeaa)DE-He213 Heavy metals (dpeaa)DE-He213 Lake Taihu Basin (dpeaa)DE-He213 Pollution sources (dpeaa)DE-He213 Sediments (dpeaa)DE-He213 Temporal and spatial (dpeaa)DE-He213 Shu, Ruiqi aut Sun, Jieli aut Pang, Yong aut Enthalten in Water, air & soil pollution Dordrecht [u.a.] : Springer Science + Business Media B.V, 1971 234(2023), 10 vom: Okt. (DE-627)271349417 (DE-600)1479824-4 1573-2932 nnns volume:234 year:2023 number:10 month:10 https://dx.doi.org/10.1007/s11270-023-06670-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 234 2023 10 10 |
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10.1007/s11270-023-06670-5 doi (DE-627)SPR053372921 (SPR)s11270-023-06670-5-e DE-627 ger DE-627 rakwb eng Chang, Wenjie verfasserin aut Temporal and Spatial Distribution, Ecological Risk Assessment and source Identification of heavy Metals in the Surface Sediments of Lake Taihu Basin, China 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract In this study, sediment samples from the 4 regions of Lake Taihu Basin were collected to analyze the distribution characteristics, potential risks and possible sources of heavy metal pollution (Cr, Cu, Zn, As, Cd, Pd and Hg). The results showed that the concentrations and risks from heavy metals were lower in 2018 than in 2012, while the average concentrations of the 7 heavy metals were lower than the upper chemical exceedance level (UCEL). Spatially, the contents were higher in the eastern plains and Yangtze Riverside regions. The results of the risk assessment indicated that all heavy metals other than Cd were at low-pollution levels. In contrast, Cd showed high risk ($ E^{i} $r 255.425 in 2012, $ E^{i} $r 149.293 in 2018), which led to the high comprehensive potential ecological risk level in the western hilly region in 2012. In 2018, the risk for the entire Lake Taihu Basin decreased to a moderate level. In addition, the results of principal component analysis showed that Zn mainly originated from agriculture and zinc ore, Cd originated from metallurgical industries and pesticides, portions of Cu and Cr may have come from natural sources, and the other portions and other heavy metals mostly came from chemical industries such as electroplating. This study thoroughly analyzed the heavy metal pollution status of the Lake Taihu Basin surface sediments and provided a scientific basis for preventing and controlling water pollution in the region. Ecological risk assessment (dpeaa)DE-He213 Heavy metals (dpeaa)DE-He213 Lake Taihu Basin (dpeaa)DE-He213 Pollution sources (dpeaa)DE-He213 Sediments (dpeaa)DE-He213 Temporal and spatial (dpeaa)DE-He213 Shu, Ruiqi aut Sun, Jieli aut Pang, Yong aut Enthalten in Water, air & soil pollution Dordrecht [u.a.] : Springer Science + Business Media B.V, 1971 234(2023), 10 vom: Okt. (DE-627)271349417 (DE-600)1479824-4 1573-2932 nnns volume:234 year:2023 number:10 month:10 https://dx.doi.org/10.1007/s11270-023-06670-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 234 2023 10 10 |
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10.1007/s11270-023-06670-5 doi (DE-627)SPR053372921 (SPR)s11270-023-06670-5-e DE-627 ger DE-627 rakwb eng Chang, Wenjie verfasserin aut Temporal and Spatial Distribution, Ecological Risk Assessment and source Identification of heavy Metals in the Surface Sediments of Lake Taihu Basin, China 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract In this study, sediment samples from the 4 regions of Lake Taihu Basin were collected to analyze the distribution characteristics, potential risks and possible sources of heavy metal pollution (Cr, Cu, Zn, As, Cd, Pd and Hg). The results showed that the concentrations and risks from heavy metals were lower in 2018 than in 2012, while the average concentrations of the 7 heavy metals were lower than the upper chemical exceedance level (UCEL). Spatially, the contents were higher in the eastern plains and Yangtze Riverside regions. The results of the risk assessment indicated that all heavy metals other than Cd were at low-pollution levels. In contrast, Cd showed high risk ($ E^{i} $r 255.425 in 2012, $ E^{i} $r 149.293 in 2018), which led to the high comprehensive potential ecological risk level in the western hilly region in 2012. In 2018, the risk for the entire Lake Taihu Basin decreased to a moderate level. In addition, the results of principal component analysis showed that Zn mainly originated from agriculture and zinc ore, Cd originated from metallurgical industries and pesticides, portions of Cu and Cr may have come from natural sources, and the other portions and other heavy metals mostly came from chemical industries such as electroplating. This study thoroughly analyzed the heavy metal pollution status of the Lake Taihu Basin surface sediments and provided a scientific basis for preventing and controlling water pollution in the region. Ecological risk assessment (dpeaa)DE-He213 Heavy metals (dpeaa)DE-He213 Lake Taihu Basin (dpeaa)DE-He213 Pollution sources (dpeaa)DE-He213 Sediments (dpeaa)DE-He213 Temporal and spatial (dpeaa)DE-He213 Shu, Ruiqi aut Sun, Jieli aut Pang, Yong aut Enthalten in Water, air & soil pollution Dordrecht [u.a.] : Springer Science + Business Media B.V, 1971 234(2023), 10 vom: Okt. (DE-627)271349417 (DE-600)1479824-4 1573-2932 nnns volume:234 year:2023 number:10 month:10 https://dx.doi.org/10.1007/s11270-023-06670-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 234 2023 10 10 |
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Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract In this study, sediment samples from the 4 regions of Lake Taihu Basin were collected to analyze the distribution characteristics, potential risks and possible sources of heavy metal pollution (Cr, Cu, Zn, As, Cd, Pd and Hg). The results showed that the concentrations and risks from heavy metals were lower in 2018 than in 2012, while the average concentrations of the 7 heavy metals were lower than the upper chemical exceedance level (UCEL). Spatially, the contents were higher in the eastern plains and Yangtze Riverside regions. The results of the risk assessment indicated that all heavy metals other than Cd were at low-pollution levels. In contrast, Cd showed high risk ($ E^{i} $r 255.425 in 2012, $ E^{i} $r 149.293 in 2018), which led to the high comprehensive potential ecological risk level in the western hilly region in 2012. In 2018, the risk for the entire Lake Taihu Basin decreased to a moderate level. In addition, the results of principal component analysis showed that Zn mainly originated from agriculture and zinc ore, Cd originated from metallurgical industries and pesticides, portions of Cu and Cr may have come from natural sources, and the other portions and other heavy metals mostly came from chemical industries such as electroplating. 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Chang, Wenjie |
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Chang, Wenjie misc Ecological risk assessment misc Heavy metals misc Lake Taihu Basin misc Pollution sources misc Sediments misc Temporal and spatial Temporal and Spatial Distribution, Ecological Risk Assessment and source Identification of heavy Metals in the Surface Sediments of Lake Taihu Basin, China |
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Temporal and Spatial Distribution, Ecological Risk Assessment and source Identification of heavy Metals in the Surface Sediments of Lake Taihu Basin, China Ecological risk assessment (dpeaa)DE-He213 Heavy metals (dpeaa)DE-He213 Lake Taihu Basin (dpeaa)DE-He213 Pollution sources (dpeaa)DE-He213 Sediments (dpeaa)DE-He213 Temporal and spatial (dpeaa)DE-He213 |
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temporal and spatial distribution, ecological risk assessment and source identification of heavy metals in the surface sediments of lake taihu basin, china |
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Temporal and Spatial Distribution, Ecological Risk Assessment and source Identification of heavy Metals in the Surface Sediments of Lake Taihu Basin, China |
| abstract |
Abstract In this study, sediment samples from the 4 regions of Lake Taihu Basin were collected to analyze the distribution characteristics, potential risks and possible sources of heavy metal pollution (Cr, Cu, Zn, As, Cd, Pd and Hg). The results showed that the concentrations and risks from heavy metals were lower in 2018 than in 2012, while the average concentrations of the 7 heavy metals were lower than the upper chemical exceedance level (UCEL). Spatially, the contents were higher in the eastern plains and Yangtze Riverside regions. The results of the risk assessment indicated that all heavy metals other than Cd were at low-pollution levels. In contrast, Cd showed high risk ($ E^{i} $r 255.425 in 2012, $ E^{i} $r 149.293 in 2018), which led to the high comprehensive potential ecological risk level in the western hilly region in 2012. In 2018, the risk for the entire Lake Taihu Basin decreased to a moderate level. In addition, the results of principal component analysis showed that Zn mainly originated from agriculture and zinc ore, Cd originated from metallurgical industries and pesticides, portions of Cu and Cr may have come from natural sources, and the other portions and other heavy metals mostly came from chemical industries such as electroplating. This study thoroughly analyzed the heavy metal pollution status of the Lake Taihu Basin surface sediments and provided a scientific basis for preventing and controlling water pollution in the region. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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Abstract In this study, sediment samples from the 4 regions of Lake Taihu Basin were collected to analyze the distribution characteristics, potential risks and possible sources of heavy metal pollution (Cr, Cu, Zn, As, Cd, Pd and Hg). The results showed that the concentrations and risks from heavy metals were lower in 2018 than in 2012, while the average concentrations of the 7 heavy metals were lower than the upper chemical exceedance level (UCEL). Spatially, the contents were higher in the eastern plains and Yangtze Riverside regions. The results of the risk assessment indicated that all heavy metals other than Cd were at low-pollution levels. In contrast, Cd showed high risk ($ E^{i} $r 255.425 in 2012, $ E^{i} $r 149.293 in 2018), which led to the high comprehensive potential ecological risk level in the western hilly region in 2012. In 2018, the risk for the entire Lake Taihu Basin decreased to a moderate level. In addition, the results of principal component analysis showed that Zn mainly originated from agriculture and zinc ore, Cd originated from metallurgical industries and pesticides, portions of Cu and Cr may have come from natural sources, and the other portions and other heavy metals mostly came from chemical industries such as electroplating. This study thoroughly analyzed the heavy metal pollution status of the Lake Taihu Basin surface sediments and provided a scientific basis for preventing and controlling water pollution in the region. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstract_unstemmed |
Abstract In this study, sediment samples from the 4 regions of Lake Taihu Basin were collected to analyze the distribution characteristics, potential risks and possible sources of heavy metal pollution (Cr, Cu, Zn, As, Cd, Pd and Hg). The results showed that the concentrations and risks from heavy metals were lower in 2018 than in 2012, while the average concentrations of the 7 heavy metals were lower than the upper chemical exceedance level (UCEL). Spatially, the contents were higher in the eastern plains and Yangtze Riverside regions. The results of the risk assessment indicated that all heavy metals other than Cd were at low-pollution levels. In contrast, Cd showed high risk ($ E^{i} $r 255.425 in 2012, $ E^{i} $r 149.293 in 2018), which led to the high comprehensive potential ecological risk level in the western hilly region in 2012. In 2018, the risk for the entire Lake Taihu Basin decreased to a moderate level. In addition, the results of principal component analysis showed that Zn mainly originated from agriculture and zinc ore, Cd originated from metallurgical industries and pesticides, portions of Cu and Cr may have come from natural sources, and the other portions and other heavy metals mostly came from chemical industries such as electroplating. This study thoroughly analyzed the heavy metal pollution status of the Lake Taihu Basin surface sediments and provided a scientific basis for preventing and controlling water pollution in the region. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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Temporal and Spatial Distribution, Ecological Risk Assessment and source Identification of heavy Metals in the Surface Sediments of Lake Taihu Basin, China |
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Shu, Ruiqi Sun, Jieli Pang, Yong |
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| score |
7.399722 |