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Changes in chemical fractions and ecological risk prediction of heavy metals in estuarine sediments of Chunfeng Lake estuary, China
The changes of available forms of heavy metals would affect their corresponding ecological risks in sediments. The distribution of chemical fractions of heavy metals in sediment profiles from Chunfeng Lake estuary was investigated and then a prediction model for potential ecological risk index (PMRI...
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| Published in: | Marine pollution bulletin 2019-01, Vol.138, p.575-583 |
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| Main Authors: | , , , , |
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| Language: | English |
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| cites | cdi_FETCH-LOGICAL-a422t-db18214d4fe0e9b80cf84bddb2fad8b57c88f6d6c9877e70dc7abbfcf927e88e3 |
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| container_title | Marine pollution bulletin |
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| creator | Huang, Bo Guo, Zhaohui Xiao, Xiyuan Zeng, Peng Peng, Chi |
| description | The changes of available forms of heavy metals would affect their corresponding ecological risks in sediments. The distribution of chemical fractions of heavy metals in sediment profiles from Chunfeng Lake estuary was investigated and then a prediction model for potential ecological risk index (PMRI) was proposed to forecast the changes of ecological risks caused by the aging process of metals in sediments. The results show that the estuarine sediments were polluted by As and Cd. The proportions of available metals were generally decreased with depth, while those of the residual forms showed an opposite trend. The aging rates of Cd and As were found to be 0.21 and 0.12%/year, respectively. The PMRI model showed that the total ecological risk of metals in sediments decreased from moderate to low risk level ( |
| doi_str_mv | 10.1016/j.marpolbul.2018.12.015 |
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[Display omitted]
•Distributions and chemical fractions of metals in the sediment profiles were studied.•The available metals were changing to unavailable forms with increasing depth.•The aging rates of Cd and As in the sediment profiles were 0.21 and 0.12%/year.•A model is proposed to predict ecological risk of metals in the sediment profiles.•The ecological risk of metals decreased from moderate to low level after 25 years.</description><identifier>ISSN: 0025-326X</identifier><identifier>EISSN: 1879-3363</identifier><identifier>DOI: 10.1016/j.marpolbul.2018.12.015</identifier><identifier>PMID: 30660308</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Ageing ; Aging ; Aging (metallurgy) ; Arsenic - analysis ; Brackishwater environment ; Cadmium ; Cadmium - analysis ; China ; Dongting Lake ; Ecological effects ; Ecological risk assessment ; Ecotoxicology - methods ; Environmental Monitoring ; Environmental risk ; Estuaries ; Estuarine dynamics ; Estuarine environments ; Estuarine pollution ; Geologic Sediments - analysis ; Heavy metals ; Lake sediments ; Lakes ; Mathematical models ; Metals ; Metals, Heavy - analysis ; Metals, Heavy - toxicity ; Organic chemistry ; Prediction models ; Profiles ; Regression analysis ; Risk ; Risk Assessment ; Risk prediction ; Sediment ; Sediment pollution ; Sediment profile ; Sediments ; Water Pollutants, Chemical - analysis ; Water Pollutants, Chemical - toxicity</subject><ispartof>Marine pollution bulletin, 2019-01, Vol.138, p.575-583</ispartof><rights>2018 Elsevier Ltd</rights><rights>Copyright © 2018 Elsevier Ltd. All rights reserved.</rights><rights>Copyright Elsevier BV Jan 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a422t-db18214d4fe0e9b80cf84bddb2fad8b57c88f6d6c9877e70dc7abbfcf927e88e3</citedby><cites>FETCH-LOGICAL-a422t-db18214d4fe0e9b80cf84bddb2fad8b57c88f6d6c9877e70dc7abbfcf927e88e3</cites><orcidid>0000-0002-6000-544X ; 0000-0003-3332-184X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30660308$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Huang, Bo</creatorcontrib><creatorcontrib>Guo, Zhaohui</creatorcontrib><creatorcontrib>Xiao, Xiyuan</creatorcontrib><creatorcontrib>Zeng, Peng</creatorcontrib><creatorcontrib>Peng, Chi</creatorcontrib><title>Changes in chemical fractions and ecological risk prediction of heavy metals in estuarine sediments of Chunfeng Lake estuary, China</title><title>Marine pollution bulletin</title><addtitle>Mar Pollut Bull</addtitle><description>The changes of available forms of heavy metals would affect their corresponding ecological risks in sediments. The distribution of chemical fractions of heavy metals in sediment profiles from Chunfeng Lake estuary was investigated and then a prediction model for potential ecological risk index (PMRI) was proposed to forecast the changes of ecological risks caused by the aging process of metals in sediments. The results show that the estuarine sediments were polluted by As and Cd. The proportions of available metals were generally decreased with depth, while those of the residual forms showed an opposite trend. The aging rates of Cd and As were found to be 0.21 and 0.12%/year, respectively. The PMRI model showed that the total ecological risk of metals in sediments decreased from moderate to low risk level (<150) after 25 years, while cadmium would need 47 years in contrast to the 15 years for As.
[Display omitted]
•Distributions and chemical fractions of metals in the sediment profiles were studied.•The available metals were changing to unavailable forms with increasing depth.•The aging rates of Cd and As in the sediment profiles were 0.21 and 0.12%/year.•A model is proposed to predict ecological risk of metals in the sediment profiles.•The ecological risk of metals decreased from moderate to low level after 25 years.</description><subject>Ageing</subject><subject>Aging</subject><subject>Aging (metallurgy)</subject><subject>Arsenic - analysis</subject><subject>Brackishwater environment</subject><subject>Cadmium</subject><subject>Cadmium - analysis</subject><subject>China</subject><subject>Dongting Lake</subject><subject>Ecological effects</subject><subject>Ecological risk assessment</subject><subject>Ecotoxicology - methods</subject><subject>Environmental Monitoring</subject><subject>Environmental risk</subject><subject>Estuaries</subject><subject>Estuarine dynamics</subject><subject>Estuarine environments</subject><subject>Estuarine pollution</subject><subject>Geologic Sediments - analysis</subject><subject>Heavy metals</subject><subject>Lake sediments</subject><subject>Lakes</subject><subject>Mathematical models</subject><subject>Metals</subject><subject>Metals, Heavy - analysis</subject><subject>Metals, Heavy - toxicity</subject><subject>Organic chemistry</subject><subject>Prediction models</subject><subject>Profiles</subject><subject>Regression analysis</subject><subject>Risk</subject><subject>Risk Assessment</subject><subject>Risk prediction</subject><subject>Sediment</subject><subject>Sediment pollution</subject><subject>Sediment profile</subject><subject>Sediments</subject><subject>Water Pollutants, Chemical - analysis</subject><subject>Water Pollutants, Chemical - toxicity</subject><issn>0025-326X</issn><issn>1879-3363</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNqFkU1v1DAQhi1ERZfCXwBLXDiQYDvZ2DlWK1qQVuJSJG6WP8a73ib2YieV9swfx_tBD1w4WZp53vFoHoTeU1JTQrvPu3pUaR8HPQ81I1TUlNWELl-gBRW8r5qma16iBSFsWTWs-3mNXue8I4RwxukrdN2QriMNEQv0e7VVYQMZ-4DNFkZv1IBdUmbyMWSsgsVg4hA3p0by-RHvE1h_6uPo8BbU0wGPMKnhNATyNKvkA-BcsBHClI_YajsHB2GD1-oRLtDhUyn7oN6gK1fS8Pby3qAfd18eVl-r9ff7b6vbdaVaxqbKaioYbW3rgECvBTFOtNpazZyyQi-5EcJ1tjO94Bw4sYYrrZ1xPeMgBDQ36ON57j7FX3PZQY4-GxgGFSDOWTLK-6anLW8L-uEfdBfnFMp2hRJECN62olD8TJkUc07g5D75IuYgKZFHT3Innz3JoydJmSyeSvLdZf6sR7DPub9iCnB7BqAc5MlDktl4CKbcNIGZpI3-v5_8AbMiq1Y</recordid><startdate>201901</startdate><enddate>201901</enddate><creator>Huang, Bo</creator><creator>Guo, Zhaohui</creator><creator>Xiao, Xiyuan</creator><creator>Zeng, Peng</creator><creator>Peng, Chi</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7T7</scope><scope>7TN</scope><scope>7TV</scope><scope>7U7</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>M7N</scope><scope>P64</scope><scope>SOI</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-6000-544X</orcidid><orcidid>https://orcid.org/0000-0003-3332-184X</orcidid></search><sort><creationdate>201901</creationdate><title>Changes in chemical fractions and ecological risk prediction of heavy metals in estuarine sediments of Chunfeng Lake estuary, China</title><author>Huang, Bo ; Guo, Zhaohui ; Xiao, Xiyuan ; Zeng, Peng ; Peng, Chi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a422t-db18214d4fe0e9b80cf84bddb2fad8b57c88f6d6c9877e70dc7abbfcf927e88e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Ageing</topic><topic>Aging</topic><topic>Aging (metallurgy)</topic><topic>Arsenic - analysis</topic><topic>Brackishwater environment</topic><topic>Cadmium</topic><topic>Cadmium - analysis</topic><topic>China</topic><topic>Dongting Lake</topic><topic>Ecological effects</topic><topic>Ecological risk assessment</topic><topic>Ecotoxicology - methods</topic><topic>Environmental Monitoring</topic><topic>Environmental risk</topic><topic>Estuaries</topic><topic>Estuarine dynamics</topic><topic>Estuarine environments</topic><topic>Estuarine pollution</topic><topic>Geologic Sediments - analysis</topic><topic>Heavy metals</topic><topic>Lake sediments</topic><topic>Lakes</topic><topic>Mathematical models</topic><topic>Metals</topic><topic>Metals, Heavy - analysis</topic><topic>Metals, Heavy - toxicity</topic><topic>Organic chemistry</topic><topic>Prediction models</topic><topic>Profiles</topic><topic>Regression analysis</topic><topic>Risk</topic><topic>Risk Assessment</topic><topic>Risk prediction</topic><topic>Sediment</topic><topic>Sediment pollution</topic><topic>Sediment profile</topic><topic>Sediments</topic><topic>Water Pollutants, Chemical - analysis</topic><topic>Water Pollutants, Chemical - toxicity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Huang, Bo</creatorcontrib><creatorcontrib>Guo, Zhaohui</creatorcontrib><creatorcontrib>Xiao, Xiyuan</creatorcontrib><creatorcontrib>Zeng, Peng</creatorcontrib><creatorcontrib>Peng, Chi</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Oceanic Abstracts</collection><collection>Pollution Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Marine pollution bulletin</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Huang, Bo</au><au>Guo, Zhaohui</au><au>Xiao, Xiyuan</au><au>Zeng, Peng</au><au>Peng, Chi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Changes in chemical fractions and ecological risk prediction of heavy metals in estuarine sediments of Chunfeng Lake estuary, China</atitle><jtitle>Marine pollution bulletin</jtitle><addtitle>Mar Pollut Bull</addtitle><date>2019-01</date><risdate>2019</risdate><volume>138</volume><spage>575</spage><epage>583</epage><pages>575-583</pages><issn>0025-326X</issn><eissn>1879-3363</eissn><abstract>The changes of available forms of heavy metals would affect their corresponding ecological risks in sediments. The distribution of chemical fractions of heavy metals in sediment profiles from Chunfeng Lake estuary was investigated and then a prediction model for potential ecological risk index (PMRI) was proposed to forecast the changes of ecological risks caused by the aging process of metals in sediments. The results show that the estuarine sediments were polluted by As and Cd. The proportions of available metals were generally decreased with depth, while those of the residual forms showed an opposite trend. The aging rates of Cd and As were found to be 0.21 and 0.12%/year, respectively. The PMRI model showed that the total ecological risk of metals in sediments decreased from moderate to low risk level (<150) after 25 years, while cadmium would need 47 years in contrast to the 15 years for As.
[Display omitted]
•Distributions and chemical fractions of metals in the sediment profiles were studied.•The available metals were changing to unavailable forms with increasing depth.•The aging rates of Cd and As in the sediment profiles were 0.21 and 0.12%/year.•A model is proposed to predict ecological risk of metals in the sediment profiles.•The ecological risk of metals decreased from moderate to low level after 25 years.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>30660308</pmid><doi>10.1016/j.marpolbul.2018.12.015</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-6000-544X</orcidid><orcidid>https://orcid.org/0000-0003-3332-184X</orcidid></addata></record> |
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| ispartof | Marine pollution bulletin, 2019-01, Vol.138, p.575-583 |
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| source | ScienceDirect Freedom Collection 2022-2024 |
| subjects | Ageing Aging Aging (metallurgy) Arsenic - analysis Brackishwater environment Cadmium Cadmium - analysis China Dongting Lake Ecological effects Ecological risk assessment Ecotoxicology - methods Environmental Monitoring Environmental risk Estuaries Estuarine dynamics Estuarine environments Estuarine pollution Geologic Sediments - analysis Heavy metals Lake sediments Lakes Mathematical models Metals Metals, Heavy - analysis Metals, Heavy - toxicity Organic chemistry Prediction models Profiles Regression analysis Risk Risk Assessment Risk prediction Sediment Sediment pollution Sediment profile Sediments Water Pollutants, Chemical - analysis Water Pollutants, Chemical - toxicity |
| title | Changes in chemical fractions and ecological risk prediction of heavy metals in estuarine sediments of Chunfeng Lake estuary, China |
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