Heavy metal contamination trends in surface water and sediments of a river in a highly-industrialized region
Surface water and sediment samples from the most contaminated river in Taiwan, Houjing River, were collected for five years (2015 to 2019) and from five locations to study the contamination trends of eight heavy metals (As, Cd, Cr, Cu, Hg, Pb, Ni, and Zn). Five locations along the river were picked...
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Veröffentlicht in: | Environmental technology & innovation 2020-11, Vol.20, p.101043, Article 101043 |
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creator | Hoang, Hong-Giang Lin, Chitsan Tran, Huu-Tuan Chiang, Chow-Feng Bui, Xuan-Thanh Cheruiyot, Nicholas Kiprotich Shern, Chien-Chuan Lee, Chia-Wei |
description | Surface water and sediment samples from the most contaminated river in Taiwan, Houjing River, were collected for five years (2015 to 2019) and from five locations to study the contamination trends of eight heavy metals (As, Cd, Cr, Cu, Hg, Pb, Ni, and Zn). Five locations along the river were picked based on their potential of being contaminated by nearby industrial activities. The monitoring data, geo-accumulation index (Igeo), contamination factor (CF), modified degree of contamination (mCd), pollution load index (PLI), and metal index (MI) were used to provide a detailed assessment of the heavy metal contamination. Demin (L3) and Chuwai (L4), two sampling sites close to the Nanzih Export Processing Zone (NEPZ) discharge points, were the most contaminated. The most contaminated periods were 2015–2016 and 2018–2019 for surface water and sediment samples, respectively. The surface water showed signs of heavy metal contamination in 2016 with mCd> 1.5. For the sediment samples, the heavy metal concentration fingerprints for the five years were similar. This implied that the natural attenuation process was not adequate, and treatment technologies are required to improve sediment quality. This study provides a basis for comprehensive risk assessments and integrated environmental management measures for the river’s surface water and sediment quality. Also, it would contribute to a more inclusive evaluation of heavy metal contamination in global rivers.
•Five-year data from five sites were used to assess heavy metal contamination trends.•The surface water showed signs of heavy metal contamination.•Heavy metal contamination in sediment samples was alarming.•The sediment quality in the five years did not change significantly.•Sediment quality needs to be improved and discharge quality needs to be controlled. |
doi_str_mv | 10.1016/j.eti.2020.101043 |
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•Five-year data from five sites were used to assess heavy metal contamination trends.•The surface water showed signs of heavy metal contamination.•Heavy metal contamination in sediment samples was alarming.•The sediment quality in the five years did not change significantly.•Sediment quality needs to be improved and discharge quality needs to be controlled.</description><identifier>ISSN: 2352-1864</identifier><identifier>EISSN: 2352-1864</identifier><identifier>DOI: 10.1016/j.eti.2020.101043</identifier><language>eng</language><publisher>AMSTERDAM: Elsevier B.V</publisher><subject>Biotechnology & Applied Microbiology ; Contamination factor (CF) ; Engineering ; Engineering, Environmental ; Environmental Sciences ; Environmental Sciences & Ecology ; Geo-accumulation index (Igeo) ; Heavy metal pollution ; Life Sciences & Biomedicine ; Metal index (MI) ; Modified degree of contamination (mCd) ; Science & Technology ; Synergistic indexes ; Technology</subject><ispartof>Environmental technology & innovation, 2020-11, Vol.20, p.101043, Article 101043</ispartof><rights>2020 Elsevier B.V.</rights><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>79</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000598204200009</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c297t-2014abc83f23f529cb280370f696fca92427682305b75d299e2815be8c72fa5a3</citedby><cites>FETCH-LOGICAL-c297t-2014abc83f23f529cb280370f696fca92427682305b75d299e2815be8c72fa5a3</cites><orcidid>0000-0003-2746-107X ; 0000-0002-7243-3636</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,781,785,27929,27930,28253</link.rule.ids></links><search><creatorcontrib>Hoang, Hong-Giang</creatorcontrib><creatorcontrib>Lin, Chitsan</creatorcontrib><creatorcontrib>Tran, Huu-Tuan</creatorcontrib><creatorcontrib>Chiang, Chow-Feng</creatorcontrib><creatorcontrib>Bui, Xuan-Thanh</creatorcontrib><creatorcontrib>Cheruiyot, Nicholas Kiprotich</creatorcontrib><creatorcontrib>Shern, Chien-Chuan</creatorcontrib><creatorcontrib>Lee, Chia-Wei</creatorcontrib><title>Heavy metal contamination trends in surface water and sediments of a river in a highly-industrialized region</title><title>Environmental technology & innovation</title><addtitle>ENVIRON TECHNOL INNO</addtitle><description>Surface water and sediment samples from the most contaminated river in Taiwan, Houjing River, were collected for five years (2015 to 2019) and from five locations to study the contamination trends of eight heavy metals (As, Cd, Cr, Cu, Hg, Pb, Ni, and Zn). Five locations along the river were picked based on their potential of being contaminated by nearby industrial activities. The monitoring data, geo-accumulation index (Igeo), contamination factor (CF), modified degree of contamination (mCd), pollution load index (PLI), and metal index (MI) were used to provide a detailed assessment of the heavy metal contamination. Demin (L3) and Chuwai (L4), two sampling sites close to the Nanzih Export Processing Zone (NEPZ) discharge points, were the most contaminated. The most contaminated periods were 2015–2016 and 2018–2019 for surface water and sediment samples, respectively. The surface water showed signs of heavy metal contamination in 2016 with mCd> 1.5. For the sediment samples, the heavy metal concentration fingerprints for the five years were similar. This implied that the natural attenuation process was not adequate, and treatment technologies are required to improve sediment quality. This study provides a basis for comprehensive risk assessments and integrated environmental management measures for the river’s surface water and sediment quality. Also, it would contribute to a more inclusive evaluation of heavy metal contamination in global rivers.
•Five-year data from five sites were used to assess heavy metal contamination trends.•The surface water showed signs of heavy metal contamination.•Heavy metal contamination in sediment samples was alarming.•The sediment quality in the five years did not change significantly.•Sediment quality needs to be improved and discharge quality needs to be controlled.</description><subject>Biotechnology & Applied Microbiology</subject><subject>Contamination factor (CF)</subject><subject>Engineering</subject><subject>Engineering, Environmental</subject><subject>Environmental Sciences</subject><subject>Environmental Sciences & Ecology</subject><subject>Geo-accumulation index (Igeo)</subject><subject>Heavy metal pollution</subject><subject>Life Sciences & Biomedicine</subject><subject>Metal index (MI)</subject><subject>Modified degree of contamination (mCd)</subject><subject>Science & Technology</subject><subject>Synergistic indexes</subject><subject>Technology</subject><issn>2352-1864</issn><issn>2352-1864</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>AOWDO</sourceid><recordid>eNqNkE1LAzEQhhdRsNT-AG-5y9ZkdrMfeJJFrVDwoueQzU7alG1WkrSl_nrTD8STeJoZ5n2G4UmSW0anjLLifjXFYKZA4TjTPLtIRpBxSFlV5Je_-utk4v2KUgoZ4wUvRkk_Q7ndkzUG2RM12CDXxspgBkuCQ9t5YizxG6elQrKTAR2RtiMeO7NGGzwZNJHEmW1cxKQkS7NY9vvU2G7jgzOyN1_YEYeLePImudKy9zg513Hy8fz03szS-dvLa_M4TxXUZUiBsly2qso0ZJpDrVqoaFZSXdSFVrKGHMqigozytuQd1DVCxXiLlSpBSy6zccJOd5UbvHeoxacza-n2glFxMCZWIhoTB2PiZCwydydmh-2gvTJoFf5wURmvK6A5xI7WMV39P92YcDTaDBsbIvpwQjEa2Bp04ox3xqEKohvMH29-A5lblPQ</recordid><startdate>202011</startdate><enddate>202011</enddate><creator>Hoang, Hong-Giang</creator><creator>Lin, Chitsan</creator><creator>Tran, Huu-Tuan</creator><creator>Chiang, Chow-Feng</creator><creator>Bui, Xuan-Thanh</creator><creator>Cheruiyot, Nicholas Kiprotich</creator><creator>Shern, Chien-Chuan</creator><creator>Lee, Chia-Wei</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>AOWDO</scope><scope>BLEPL</scope><scope>DTL</scope><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0003-2746-107X</orcidid><orcidid>https://orcid.org/0000-0002-7243-3636</orcidid></search><sort><creationdate>202011</creationdate><title>Heavy metal contamination trends in surface water and sediments of a river in a highly-industrialized region</title><author>Hoang, Hong-Giang ; Lin, Chitsan ; Tran, Huu-Tuan ; Chiang, Chow-Feng ; Bui, Xuan-Thanh ; Cheruiyot, Nicholas Kiprotich ; Shern, Chien-Chuan ; Lee, Chia-Wei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c297t-2014abc83f23f529cb280370f696fca92427682305b75d299e2815be8c72fa5a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Biotechnology & Applied Microbiology</topic><topic>Contamination factor (CF)</topic><topic>Engineering</topic><topic>Engineering, Environmental</topic><topic>Environmental Sciences</topic><topic>Environmental Sciences & Ecology</topic><topic>Geo-accumulation index (Igeo)</topic><topic>Heavy metal pollution</topic><topic>Life Sciences & Biomedicine</topic><topic>Metal index (MI)</topic><topic>Modified degree of contamination (mCd)</topic><topic>Science & Technology</topic><topic>Synergistic indexes</topic><topic>Technology</topic><toplevel>online_resources</toplevel><creatorcontrib>Hoang, Hong-Giang</creatorcontrib><creatorcontrib>Lin, Chitsan</creatorcontrib><creatorcontrib>Tran, Huu-Tuan</creatorcontrib><creatorcontrib>Chiang, Chow-Feng</creatorcontrib><creatorcontrib>Bui, Xuan-Thanh</creatorcontrib><creatorcontrib>Cheruiyot, Nicholas Kiprotich</creatorcontrib><creatorcontrib>Shern, Chien-Chuan</creatorcontrib><creatorcontrib>Lee, Chia-Wei</creatorcontrib><collection>Web of Science - Science Citation Index Expanded - 2020</collection><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>CrossRef</collection><jtitle>Environmental technology & innovation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hoang, Hong-Giang</au><au>Lin, Chitsan</au><au>Tran, Huu-Tuan</au><au>Chiang, Chow-Feng</au><au>Bui, Xuan-Thanh</au><au>Cheruiyot, Nicholas Kiprotich</au><au>Shern, Chien-Chuan</au><au>Lee, Chia-Wei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Heavy metal contamination trends in surface water and sediments of a river in a highly-industrialized region</atitle><jtitle>Environmental technology & innovation</jtitle><stitle>ENVIRON TECHNOL INNO</stitle><date>2020-11</date><risdate>2020</risdate><volume>20</volume><spage>101043</spage><pages>101043-</pages><artnum>101043</artnum><issn>2352-1864</issn><eissn>2352-1864</eissn><abstract>Surface water and sediment samples from the most contaminated river in Taiwan, Houjing River, were collected for five years (2015 to 2019) and from five locations to study the contamination trends of eight heavy metals (As, Cd, Cr, Cu, Hg, Pb, Ni, and Zn). Five locations along the river were picked based on their potential of being contaminated by nearby industrial activities. The monitoring data, geo-accumulation index (Igeo), contamination factor (CF), modified degree of contamination (mCd), pollution load index (PLI), and metal index (MI) were used to provide a detailed assessment of the heavy metal contamination. Demin (L3) and Chuwai (L4), two sampling sites close to the Nanzih Export Processing Zone (NEPZ) discharge points, were the most contaminated. The most contaminated periods were 2015–2016 and 2018–2019 for surface water and sediment samples, respectively. The surface water showed signs of heavy metal contamination in 2016 with mCd> 1.5. For the sediment samples, the heavy metal concentration fingerprints for the five years were similar. This implied that the natural attenuation process was not adequate, and treatment technologies are required to improve sediment quality. This study provides a basis for comprehensive risk assessments and integrated environmental management measures for the river’s surface water and sediment quality. Also, it would contribute to a more inclusive evaluation of heavy metal contamination in global rivers.
•Five-year data from five sites were used to assess heavy metal contamination trends.•The surface water showed signs of heavy metal contamination.•Heavy metal contamination in sediment samples was alarming.•The sediment quality in the five years did not change significantly.•Sediment quality needs to be improved and discharge quality needs to be controlled.</abstract><cop>AMSTERDAM</cop><pub>Elsevier B.V</pub><doi>10.1016/j.eti.2020.101043</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0003-2746-107X</orcidid><orcidid>https://orcid.org/0000-0002-7243-3636</orcidid></addata></record> |
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subjects | Biotechnology & Applied Microbiology Contamination factor (CF) Engineering Engineering, Environmental Environmental Sciences Environmental Sciences & Ecology Geo-accumulation index (Igeo) Heavy metal pollution Life Sciences & Biomedicine Metal index (MI) Modified degree of contamination (mCd) Science & Technology Synergistic indexes Technology |
title | Heavy metal contamination trends in surface water and sediments of a river in a highly-industrialized region |
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