First report on probabilistic risk assessment of pesticide residues in a riverine ecosystem in South-South Nigeria
The present study evaluated the ecological and human health risk associated with concentrations of legacy organochlorine pesticide residues in Ikpoba River, a major River in the heart of Benin City, a Nigerian urban town located in Edo State. Standard methods were used to collect, extract and analyz...
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Veröffentlicht in: | Chemosphere (Oxford) 2019-09, Vol.231, p.546-561 |
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description | The present study evaluated the ecological and human health risk associated with concentrations of legacy organochlorine pesticide residues in Ikpoba River, a major River in the heart of Benin City, a Nigerian urban town located in Edo State. Standard methods were used to collect, extract and analyze samples, while risk assessment was carried out using standard models and indices. Results showed varying pesticide concentrations in both sediment and water samples with α-HCH (0.24 ± 0.11 μg L-l), predominant in water, whereas dieldrin (0.99 ± 0.33 μg kg-l) was the highest concentration in sediment. Compared to the Sediment Quality Guidelines (SQGs), this study concentrations of pesticides in sediments were below the values of effect range medium, effect range low, probable effect level and threshold effects level, suggesting low environmental hazard to benthic organisms. However, on exposure to contaminated sediments, probabilistic ecological risk assessment using Monte Carlo techniques showed potential risk to algae, daphnid and fish. Human health risk estimates using dermal and ingestion exposure deterministic and probabilistic routes revealed a potential risk to adults and children exposed to contaminated water and sediment. Estimates for detected pesticides exceeded the threshold level, indicating potential cancer effects for both children and adults who rely on the resources of the river. This study highlights the need for concerted efforts to curb the threat of pesticides and other contaminants in the aquatic environment by all relevant stakeholders in Nigeria and Africa as a whole.
•Increasing contamination of aquatic systems in Nigeria.•Preliminary screening of ecological risk is vital to riverine ecosystem sustainability.•Toxic units showed ecological risk to algae, daphnid and fish exposed to contaminated Riverine systems.•Cancer risk showed a potential risk to the population group comprised of children and adults.•First report on the probabilistic risk assessment of pesticide residues in Nigeria. |
doi_str_mv | 10.1016/j.chemosphere.2019.05.105 |
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•Increasing contamination of aquatic systems in Nigeria.•Preliminary screening of ecological risk is vital to riverine ecosystem sustainability.•Toxic units showed ecological risk to algae, daphnid and fish exposed to contaminated Riverine systems.•Cancer risk showed a potential risk to the population group comprised of children and adults.•First report on the probabilistic risk assessment of pesticide residues in Nigeria.</description><identifier>ISSN: 0045-6535</identifier><identifier>EISSN: 1879-1298</identifier><identifier>DOI: 10.1016/j.chemosphere.2019.05.105</identifier><identifier>PMID: 31151015</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Animals ; Dieldrin ; Ecosystem ; Ecotoxicological risk ; Environmental Monitoring ; Exposure assessment ; Geologic Sediments - chemistry ; Hexachlorocyclohexane ; Hydrocarbons, Chlorinated - analysis ; Monte Carlo technique ; Nigeria ; Organochlorine ; Pesticide Residues - analysis ; Pesticides - analysis ; Risk Assessment ; Rivers - chemistry ; Toxic unit ; Water Pollutants, Chemical - analysis ; Water Pollution, Chemical - statistics & numerical data</subject><ispartof>Chemosphere (Oxford), 2019-09, Vol.231, p.546-561</ispartof><rights>2019 Elsevier Ltd</rights><rights>Copyright © 2019 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c377t-8fc49e3e0c26da73ce0eea6294efb3c16fd032160965c3e337075f3136542cf83</citedby><cites>FETCH-LOGICAL-c377t-8fc49e3e0c26da73ce0eea6294efb3c16fd032160965c3e337075f3136542cf83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.chemosphere.2019.05.105$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3548,27923,27924,45994</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31151015$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ogbeide, Ozekeke</creatorcontrib><creatorcontrib>Uhunamure, Grace</creatorcontrib><creatorcontrib>Okundaye, Fabulous</creatorcontrib><creatorcontrib>Ejeomo, Christopher</creatorcontrib><title>First report on probabilistic risk assessment of pesticide residues in a riverine ecosystem in South-South Nigeria</title><title>Chemosphere (Oxford)</title><addtitle>Chemosphere</addtitle><description>The present study evaluated the ecological and human health risk associated with concentrations of legacy organochlorine pesticide residues in Ikpoba River, a major River in the heart of Benin City, a Nigerian urban town located in Edo State. Standard methods were used to collect, extract and analyze samples, while risk assessment was carried out using standard models and indices. Results showed varying pesticide concentrations in both sediment and water samples with α-HCH (0.24 ± 0.11 μg L-l), predominant in water, whereas dieldrin (0.99 ± 0.33 μg kg-l) was the highest concentration in sediment. Compared to the Sediment Quality Guidelines (SQGs), this study concentrations of pesticides in sediments were below the values of effect range medium, effect range low, probable effect level and threshold effects level, suggesting low environmental hazard to benthic organisms. However, on exposure to contaminated sediments, probabilistic ecological risk assessment using Monte Carlo techniques showed potential risk to algae, daphnid and fish. Human health risk estimates using dermal and ingestion exposure deterministic and probabilistic routes revealed a potential risk to adults and children exposed to contaminated water and sediment. Estimates for detected pesticides exceeded the threshold level, indicating potential cancer effects for both children and adults who rely on the resources of the river. This study highlights the need for concerted efforts to curb the threat of pesticides and other contaminants in the aquatic environment by all relevant stakeholders in Nigeria and Africa as a whole.
•Increasing contamination of aquatic systems in Nigeria.•Preliminary screening of ecological risk is vital to riverine ecosystem sustainability.•Toxic units showed ecological risk to algae, daphnid and fish exposed to contaminated Riverine systems.•Cancer risk showed a potential risk to the population group comprised of children and adults.•First report on the probabilistic risk assessment of pesticide residues in Nigeria.</description><subject>Animals</subject><subject>Dieldrin</subject><subject>Ecosystem</subject><subject>Ecotoxicological risk</subject><subject>Environmental Monitoring</subject><subject>Exposure assessment</subject><subject>Geologic Sediments - chemistry</subject><subject>Hexachlorocyclohexane</subject><subject>Hydrocarbons, Chlorinated - analysis</subject><subject>Monte Carlo technique</subject><subject>Nigeria</subject><subject>Organochlorine</subject><subject>Pesticide Residues - analysis</subject><subject>Pesticides - analysis</subject><subject>Risk Assessment</subject><subject>Rivers - chemistry</subject><subject>Toxic unit</subject><subject>Water Pollutants, Chemical - analysis</subject><subject>Water Pollution, Chemical - statistics & numerical data</subject><issn>0045-6535</issn><issn>1879-1298</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkMtOwzAQRS0EouXxC8js2KTYmTiPJaooIFWwANaW60yoSxMHT4rE3-NSQCzZjKW55854LmPnUkykkPnlamKX2HrqlxhwkgpZTYSKktpjY1kWVSLTqtxnYyEyleQK1IgdEa2EiGZVHbIRSKniJDVmYeYCDTxg78PAfcf74Bdm4daOBmd5cPTKDREStdhFoOE9bhVXYzSRqzdI3HXcRPQdg-uQo_X0QQO22_6j3wzL5Kvye_cSCXPCDhqzJjz9fo_Z8-z6aXqbzB9u7qZX88RCUQxJ2disQkBh07w2BVgUiCZPqwybBViZN7WAVOaiypUFBChEoRqQkKsstU0Jx-xiNzee9Ba_OejWkcX12nToN6TTFKBUmQCIaLVDbfBEARvdB9ea8KGl0NvI9Ur_iVxvI9dCRUlF79n3ms2ixfrX-ZNxBKY7AOOx7w6DJuuws1i7gHbQtXf_WPMJGfeagA</recordid><startdate>201909</startdate><enddate>201909</enddate><creator>Ogbeide, Ozekeke</creator><creator>Uhunamure, Grace</creator><creator>Okundaye, Fabulous</creator><creator>Ejeomo, Christopher</creator><general>Elsevier Ltd</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>7X8</scope></search><sort><creationdate>201909</creationdate><title>First report on probabilistic risk assessment of pesticide residues in a riverine ecosystem in South-South Nigeria</title><author>Ogbeide, Ozekeke ; Uhunamure, Grace ; Okundaye, Fabulous ; Ejeomo, Christopher</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c377t-8fc49e3e0c26da73ce0eea6294efb3c16fd032160965c3e337075f3136542cf83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Animals</topic><topic>Dieldrin</topic><topic>Ecosystem</topic><topic>Ecotoxicological risk</topic><topic>Environmental Monitoring</topic><topic>Exposure assessment</topic><topic>Geologic Sediments - chemistry</topic><topic>Hexachlorocyclohexane</topic><topic>Hydrocarbons, Chlorinated - analysis</topic><topic>Monte Carlo technique</topic><topic>Nigeria</topic><topic>Organochlorine</topic><topic>Pesticide Residues - analysis</topic><topic>Pesticides - analysis</topic><topic>Risk Assessment</topic><topic>Rivers - chemistry</topic><topic>Toxic unit</topic><topic>Water Pollutants, Chemical - analysis</topic><topic>Water Pollution, Chemical - statistics & numerical data</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ogbeide, Ozekeke</creatorcontrib><creatorcontrib>Uhunamure, Grace</creatorcontrib><creatorcontrib>Okundaye, Fabulous</creatorcontrib><creatorcontrib>Ejeomo, Christopher</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Chemosphere (Oxford)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ogbeide, Ozekeke</au><au>Uhunamure, Grace</au><au>Okundaye, Fabulous</au><au>Ejeomo, Christopher</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>First report on probabilistic risk assessment of pesticide residues in a riverine ecosystem in South-South Nigeria</atitle><jtitle>Chemosphere (Oxford)</jtitle><addtitle>Chemosphere</addtitle><date>2019-09</date><risdate>2019</risdate><volume>231</volume><spage>546</spage><epage>561</epage><pages>546-561</pages><issn>0045-6535</issn><eissn>1879-1298</eissn><abstract>The present study evaluated the ecological and human health risk associated with concentrations of legacy organochlorine pesticide residues in Ikpoba River, a major River in the heart of Benin City, a Nigerian urban town located in Edo State. Standard methods were used to collect, extract and analyze samples, while risk assessment was carried out using standard models and indices. Results showed varying pesticide concentrations in both sediment and water samples with α-HCH (0.24 ± 0.11 μg L-l), predominant in water, whereas dieldrin (0.99 ± 0.33 μg kg-l) was the highest concentration in sediment. Compared to the Sediment Quality Guidelines (SQGs), this study concentrations of pesticides in sediments were below the values of effect range medium, effect range low, probable effect level and threshold effects level, suggesting low environmental hazard to benthic organisms. However, on exposure to contaminated sediments, probabilistic ecological risk assessment using Monte Carlo techniques showed potential risk to algae, daphnid and fish. Human health risk estimates using dermal and ingestion exposure deterministic and probabilistic routes revealed a potential risk to adults and children exposed to contaminated water and sediment. Estimates for detected pesticides exceeded the threshold level, indicating potential cancer effects for both children and adults who rely on the resources of the river. This study highlights the need for concerted efforts to curb the threat of pesticides and other contaminants in the aquatic environment by all relevant stakeholders in Nigeria and Africa as a whole.
•Increasing contamination of aquatic systems in Nigeria.•Preliminary screening of ecological risk is vital to riverine ecosystem sustainability.•Toxic units showed ecological risk to algae, daphnid and fish exposed to contaminated Riverine systems.•Cancer risk showed a potential risk to the population group comprised of children and adults.•First report on the probabilistic risk assessment of pesticide residues in Nigeria.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>31151015</pmid><doi>10.1016/j.chemosphere.2019.05.105</doi><tpages>16</tpages></addata></record> |
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subjects | Animals Dieldrin Ecosystem Ecotoxicological risk Environmental Monitoring Exposure assessment Geologic Sediments - chemistry Hexachlorocyclohexane Hydrocarbons, Chlorinated - analysis Monte Carlo technique Nigeria Organochlorine Pesticide Residues - analysis Pesticides - analysis Risk Assessment Rivers - chemistry Toxic unit Water Pollutants, Chemical - analysis Water Pollution, Chemical - statistics & numerical data |
title | First report on probabilistic risk assessment of pesticide residues in a riverine ecosystem in South-South Nigeria |
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