Investigating the differences between receptor and dispersion modeling for concentration prediction and health risk assessment of volatile organic compounds from petrochemical industrial complexes
Receptor and dispersion models both provide important information to help understand the emissions of volatile organic compounds (VOCs) and develop effective management strategies. In this study, differences between the predicted concentrations of two models and the associated impacts on the estimat...
Gespeichert in:
| Veröffentlicht in: | Journal of environmental management 2016-01, Vol.166, p.440-449 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 449 |
|---|---|
| container_issue | |
| container_start_page | 440 |
| container_title | Journal of environmental management |
| container_volume | 166 |
| creator | Chen, Wei-Hsiang Chen, Zheng-Bin Yuan, Chung-Shin Hung, Chung-Hsuang Ning, Shu-Kuang |
| description | Receptor and dispersion models both provide important information to help understand the emissions of volatile organic compounds (VOCs) and develop effective management strategies. In this study, differences between the predicted concentrations of two models and the associated impacts on the estimated health risks due to different theories behind two models were investigated. Two petrochemical industrial complexes in Kaohsiung city of southern Taiwan were selected as the sites for this comparison. Although the study compares the approaches by applying the methods to this specific area, the results are expected to be adopted for other areas or industries. Ninety-nine VOC concentrations at eight monitoring sites were analyzed, with the effects of diurnal temperature and seasonal humidity variations being considered. The Chemical Mass Balance (CMB) receptor model was used for source apportionment, while the Industrial Source Complex (ISC) dispersion model was used to predict the VOC concentrations at receptor sites. In the results of receptor modeling, 54% ± 11% and 49% ± 20% of the monitored concentrations were contributed by process emissions in two complexes, whereas the numbers increased to 78% ± 41% and 64% ± 44% in the results of dispersion modeling. Significant differences were observed between two model predictions (p |
| doi_str_mv | 10.1016/j.jenvman.2015.10.050 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1768570260</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0301479715303480</els_id><sourcerecordid>1758941809</sourcerecordid><originalsourceid>FETCH-LOGICAL-c459t-cb219dfba9a9277084b343ddf8a9dc15b64f399c38a2eaa526939642de6605803</originalsourceid><addsrcrecordid>eNqNksFu1DAQhiMEokvhEUCWuHDJMo7jxD4hVNFSqRIXOEeOPdn1ktjBdrbwfjwYDrtw4EJPHs18_z_y6C-KlxS2FGjz9rA9oDtOym0roDz3tsDhUbGhIHkpGgaPiw0woGXdyvaieBbjAQBYRdunxUXVcM4pwKb4eeuOGJPdqWTdjqQ9EmOHAQM6jZH0mO4RHQmocU4-EOVMBuKMIVrvyOQNjqtwyDPts8alkK3yaA5orP5drqI9qjHtSbDxK1ExYoxTZokfyNGPWTEi8WGnnNXZZ5r94kwkQ_ATmTEFr_c4Wa1GYp1ZYgo2lys34neMz4sngxojvji_l8WX6w-frz6Wd59ubq_e35W65jKVuq-oNEOvpJJV24Koe1YzYwahpNGU9009MCk1E6pCpXjVSCabujLYNMAFsMvizcl3Dv7bks_WTTZqHEfl0C-xo20jeAtV8xCUC1lTAfIhKNSMiVpk9PU_6MEvweU_nyjKarEa8hOlg48x4NDNwU4q_OgodGt4ukN3Dk-3hmdt5_Bk3auz-9JPaP6q_qQlA-9OAOYjHy2GLmq7BsXYHJDUGW__s-IXGQndhA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1750413489</pqid></control><display><type>article</type><title>Investigating the differences between receptor and dispersion modeling for concentration prediction and health risk assessment of volatile organic compounds from petrochemical industrial complexes</title><source>MEDLINE</source><source>Elsevier ScienceDirect Journals</source><creator>Chen, Wei-Hsiang ; Chen, Zheng-Bin ; Yuan, Chung-Shin ; Hung, Chung-Hsuang ; Ning, Shu-Kuang</creator><creatorcontrib>Chen, Wei-Hsiang ; Chen, Zheng-Bin ; Yuan, Chung-Shin ; Hung, Chung-Hsuang ; Ning, Shu-Kuang</creatorcontrib><description>Receptor and dispersion models both provide important information to help understand the emissions of volatile organic compounds (VOCs) and develop effective management strategies. In this study, differences between the predicted concentrations of two models and the associated impacts on the estimated health risks due to different theories behind two models were investigated. Two petrochemical industrial complexes in Kaohsiung city of southern Taiwan were selected as the sites for this comparison. Although the study compares the approaches by applying the methods to this specific area, the results are expected to be adopted for other areas or industries. Ninety-nine VOC concentrations at eight monitoring sites were analyzed, with the effects of diurnal temperature and seasonal humidity variations being considered. The Chemical Mass Balance (CMB) receptor model was used for source apportionment, while the Industrial Source Complex (ISC) dispersion model was used to predict the VOC concentrations at receptor sites. In the results of receptor modeling, 54% ± 11% and 49% ± 20% of the monitored concentrations were contributed by process emissions in two complexes, whereas the numbers increased to 78% ± 41% and 64% ± 44% in the results of dispersion modeling. Significant differences were observed between two model predictions (p < 0.05). The receptor model was more reproducible given the smaller variances of its results. The effect of seasonal humidity variation on two model predictions was not negligible. Similar findings were observed given that the cancer and non-cancer risks estimated by the receptor model were lower but more reproducible. The adverse health risks estimated by the dispersion model exceeded and were 75.3%–132.4% of the values estimated by using the monitored data, whereas the percentages were lowered to the range from 27.4% to 53.8% when the prediction was performed by using the receptor model. As the results of different models could be significantly different and affect the final health risk assessment, it is important to carefully choose an appropriate model for prediction and to evaluate by monitoring to avoid providing false information for appropriate management.
•VOC emissions from two petrochemical industrial complexes were monitored.•VOC emissions were studied by using the receptor and dispersion models.•Differences between the predicted and monitored results were discussed.•The associated impacts on the estimated cancer and non-cancer risks were studied.•The effects of temperature and humidity changes on model predictions were studied.</description><identifier>ISSN: 0301-4797</identifier><identifier>EISSN: 1095-8630</identifier><identifier>DOI: 10.1016/j.jenvman.2015.10.050</identifier><identifier>PMID: 26555100</identifier><identifier>CODEN: JEVMAW</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Air Pollutants - analysis ; Air Pollutants - toxicity ; Chemical Industry ; Concentration prediction ; Dispersion ; Dispersion modeling ; Environmental management ; Environmental Monitoring - methods ; Excess lifetime cancer risk ; Hazard quotient ; Health risk assessment ; Humans ; Humidity ; Kaohsiung Taiwan ; Models, Theoretical ; Neoplasms - chemically induced ; Petrochemicals industry ; Receptor modeling ; Risk Assessment - methods ; Seasons ; Taiwan ; Temperature ; VOCs ; Volatile organic compound ; Volatile organic compounds ; Volatile Organic Compounds - analysis ; Volatile Organic Compounds - toxicity</subject><ispartof>Journal of environmental management, 2016-01, Vol.166, p.440-449</ispartof><rights>2015 Elsevier Ltd</rights><rights>Copyright © 2015 Elsevier Ltd. All rights reserved.</rights><rights>Copyright Academic Press Ltd. Jan 15, 2016</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c459t-cb219dfba9a9277084b343ddf8a9dc15b64f399c38a2eaa526939642de6605803</citedby><cites>FETCH-LOGICAL-c459t-cb219dfba9a9277084b343ddf8a9dc15b64f399c38a2eaa526939642de6605803</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0301479715303480$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26555100$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chen, Wei-Hsiang</creatorcontrib><creatorcontrib>Chen, Zheng-Bin</creatorcontrib><creatorcontrib>Yuan, Chung-Shin</creatorcontrib><creatorcontrib>Hung, Chung-Hsuang</creatorcontrib><creatorcontrib>Ning, Shu-Kuang</creatorcontrib><title>Investigating the differences between receptor and dispersion modeling for concentration prediction and health risk assessment of volatile organic compounds from petrochemical industrial complexes</title><title>Journal of environmental management</title><addtitle>J Environ Manage</addtitle><description>Receptor and dispersion models both provide important information to help understand the emissions of volatile organic compounds (VOCs) and develop effective management strategies. In this study, differences between the predicted concentrations of two models and the associated impacts on the estimated health risks due to different theories behind two models were investigated. Two petrochemical industrial complexes in Kaohsiung city of southern Taiwan were selected as the sites for this comparison. Although the study compares the approaches by applying the methods to this specific area, the results are expected to be adopted for other areas or industries. Ninety-nine VOC concentrations at eight monitoring sites were analyzed, with the effects of diurnal temperature and seasonal humidity variations being considered. The Chemical Mass Balance (CMB) receptor model was used for source apportionment, while the Industrial Source Complex (ISC) dispersion model was used to predict the VOC concentrations at receptor sites. In the results of receptor modeling, 54% ± 11% and 49% ± 20% of the monitored concentrations were contributed by process emissions in two complexes, whereas the numbers increased to 78% ± 41% and 64% ± 44% in the results of dispersion modeling. Significant differences were observed between two model predictions (p < 0.05). The receptor model was more reproducible given the smaller variances of its results. The effect of seasonal humidity variation on two model predictions was not negligible. Similar findings were observed given that the cancer and non-cancer risks estimated by the receptor model were lower but more reproducible. The adverse health risks estimated by the dispersion model exceeded and were 75.3%–132.4% of the values estimated by using the monitored data, whereas the percentages were lowered to the range from 27.4% to 53.8% when the prediction was performed by using the receptor model. As the results of different models could be significantly different and affect the final health risk assessment, it is important to carefully choose an appropriate model for prediction and to evaluate by monitoring to avoid providing false information for appropriate management.
•VOC emissions from two petrochemical industrial complexes were monitored.•VOC emissions were studied by using the receptor and dispersion models.•Differences between the predicted and monitored results were discussed.•The associated impacts on the estimated cancer and non-cancer risks were studied.•The effects of temperature and humidity changes on model predictions were studied.</description><subject>Air Pollutants - analysis</subject><subject>Air Pollutants - toxicity</subject><subject>Chemical Industry</subject><subject>Concentration prediction</subject><subject>Dispersion</subject><subject>Dispersion modeling</subject><subject>Environmental management</subject><subject>Environmental Monitoring - methods</subject><subject>Excess lifetime cancer risk</subject><subject>Hazard quotient</subject><subject>Health risk assessment</subject><subject>Humans</subject><subject>Humidity</subject><subject>Kaohsiung Taiwan</subject><subject>Models, Theoretical</subject><subject>Neoplasms - chemically induced</subject><subject>Petrochemicals industry</subject><subject>Receptor modeling</subject><subject>Risk Assessment - methods</subject><subject>Seasons</subject><subject>Taiwan</subject><subject>Temperature</subject><subject>VOCs</subject><subject>Volatile organic compound</subject><subject>Volatile organic compounds</subject><subject>Volatile Organic Compounds - analysis</subject><subject>Volatile Organic Compounds - toxicity</subject><issn>0301-4797</issn><issn>1095-8630</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNksFu1DAQhiMEokvhEUCWuHDJMo7jxD4hVNFSqRIXOEeOPdn1ktjBdrbwfjwYDrtw4EJPHs18_z_y6C-KlxS2FGjz9rA9oDtOym0roDz3tsDhUbGhIHkpGgaPiw0woGXdyvaieBbjAQBYRdunxUXVcM4pwKb4eeuOGJPdqWTdjqQ9EmOHAQM6jZH0mO4RHQmocU4-EOVMBuKMIVrvyOQNjqtwyDPts8alkK3yaA5orP5drqI9qjHtSbDxK1ExYoxTZokfyNGPWTEi8WGnnNXZZ5r94kwkQ_ATmTEFr_c4Wa1GYp1ZYgo2lys34neMz4sngxojvji_l8WX6w-frz6Wd59ubq_e35W65jKVuq-oNEOvpJJV24Koe1YzYwahpNGU9009MCk1E6pCpXjVSCabujLYNMAFsMvizcl3Dv7bks_WTTZqHEfl0C-xo20jeAtV8xCUC1lTAfIhKNSMiVpk9PU_6MEvweU_nyjKarEa8hOlg48x4NDNwU4q_OgodGt4ukN3Dk-3hmdt5_Bk3auz-9JPaP6q_qQlA-9OAOYjHy2GLmq7BsXYHJDUGW__s-IXGQndhA</recordid><startdate>20160115</startdate><enddate>20160115</enddate><creator>Chen, Wei-Hsiang</creator><creator>Chen, Zheng-Bin</creator><creator>Yuan, Chung-Shin</creator><creator>Hung, Chung-Hsuang</creator><creator>Ning, Shu-Kuang</creator><general>Elsevier Ltd</general><general>Academic Press 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>7QH</scope><scope>7SN</scope><scope>7ST</scope><scope>7UA</scope><scope>8BJ</scope><scope>C1K</scope><scope>F1W</scope><scope>FQK</scope><scope>H97</scope><scope>JBE</scope><scope>L.G</scope><scope>SOI</scope><scope>7X8</scope><scope>7TG</scope><scope>7U6</scope><scope>KL.</scope></search><sort><creationdate>20160115</creationdate><title>Investigating the differences between receptor and dispersion modeling for concentration prediction and health risk assessment of volatile organic compounds from petrochemical industrial complexes</title><author>Chen, Wei-Hsiang ; Chen, Zheng-Bin ; Yuan, Chung-Shin ; Hung, Chung-Hsuang ; Ning, Shu-Kuang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c459t-cb219dfba9a9277084b343ddf8a9dc15b64f399c38a2eaa526939642de6605803</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Air Pollutants - analysis</topic><topic>Air Pollutants - toxicity</topic><topic>Chemical Industry</topic><topic>Concentration prediction</topic><topic>Dispersion</topic><topic>Dispersion modeling</topic><topic>Environmental management</topic><topic>Environmental Monitoring - methods</topic><topic>Excess lifetime cancer risk</topic><topic>Hazard quotient</topic><topic>Health risk assessment</topic><topic>Humans</topic><topic>Humidity</topic><topic>Kaohsiung Taiwan</topic><topic>Models, Theoretical</topic><topic>Neoplasms - chemically induced</topic><topic>Petrochemicals industry</topic><topic>Receptor modeling</topic><topic>Risk Assessment - methods</topic><topic>Seasons</topic><topic>Taiwan</topic><topic>Temperature</topic><topic>VOCs</topic><topic>Volatile organic compound</topic><topic>Volatile organic compounds</topic><topic>Volatile Organic Compounds - analysis</topic><topic>Volatile Organic Compounds - toxicity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chen, Wei-Hsiang</creatorcontrib><creatorcontrib>Chen, Zheng-Bin</creatorcontrib><creatorcontrib>Yuan, Chung-Shin</creatorcontrib><creatorcontrib>Hung, Chung-Hsuang</creatorcontrib><creatorcontrib>Ning, Shu-Kuang</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aqualine</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Water Resources Abstracts</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>International Bibliography of the Social Sciences</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>International Bibliography of the Social Sciences</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><jtitle>Journal of environmental management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chen, Wei-Hsiang</au><au>Chen, Zheng-Bin</au><au>Yuan, Chung-Shin</au><au>Hung, Chung-Hsuang</au><au>Ning, Shu-Kuang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Investigating the differences between receptor and dispersion modeling for concentration prediction and health risk assessment of volatile organic compounds from petrochemical industrial complexes</atitle><jtitle>Journal of environmental management</jtitle><addtitle>J Environ Manage</addtitle><date>2016-01-15</date><risdate>2016</risdate><volume>166</volume><spage>440</spage><epage>449</epage><pages>440-449</pages><issn>0301-4797</issn><eissn>1095-8630</eissn><coden>JEVMAW</coden><abstract>Receptor and dispersion models both provide important information to help understand the emissions of volatile organic compounds (VOCs) and develop effective management strategies. In this study, differences between the predicted concentrations of two models and the associated impacts on the estimated health risks due to different theories behind two models were investigated. Two petrochemical industrial complexes in Kaohsiung city of southern Taiwan were selected as the sites for this comparison. Although the study compares the approaches by applying the methods to this specific area, the results are expected to be adopted for other areas or industries. Ninety-nine VOC concentrations at eight monitoring sites were analyzed, with the effects of diurnal temperature and seasonal humidity variations being considered. The Chemical Mass Balance (CMB) receptor model was used for source apportionment, while the Industrial Source Complex (ISC) dispersion model was used to predict the VOC concentrations at receptor sites. In the results of receptor modeling, 54% ± 11% and 49% ± 20% of the monitored concentrations were contributed by process emissions in two complexes, whereas the numbers increased to 78% ± 41% and 64% ± 44% in the results of dispersion modeling. Significant differences were observed between two model predictions (p < 0.05). The receptor model was more reproducible given the smaller variances of its results. The effect of seasonal humidity variation on two model predictions was not negligible. Similar findings were observed given that the cancer and non-cancer risks estimated by the receptor model were lower but more reproducible. The adverse health risks estimated by the dispersion model exceeded and were 75.3%–132.4% of the values estimated by using the monitored data, whereas the percentages were lowered to the range from 27.4% to 53.8% when the prediction was performed by using the receptor model. As the results of different models could be significantly different and affect the final health risk assessment, it is important to carefully choose an appropriate model for prediction and to evaluate by monitoring to avoid providing false information for appropriate management.
•VOC emissions from two petrochemical industrial complexes were monitored.•VOC emissions were studied by using the receptor and dispersion models.•Differences between the predicted and monitored results were discussed.•The associated impacts on the estimated cancer and non-cancer risks were studied.•The effects of temperature and humidity changes on model predictions were studied.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>26555100</pmid><doi>10.1016/j.jenvman.2015.10.050</doi><tpages>10</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0301-4797 |
| ispartof | Journal of environmental management, 2016-01, Vol.166, p.440-449 |
| issn | 0301-4797 1095-8630 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1768570260 |
| source | MEDLINE; Elsevier ScienceDirect Journals |
| subjects | Air Pollutants - analysis Air Pollutants - toxicity Chemical Industry Concentration prediction Dispersion Dispersion modeling Environmental management Environmental Monitoring - methods Excess lifetime cancer risk Hazard quotient Health risk assessment Humans Humidity Kaohsiung Taiwan Models, Theoretical Neoplasms - chemically induced Petrochemicals industry Receptor modeling Risk Assessment - methods Seasons Taiwan Temperature VOCs Volatile organic compound Volatile organic compounds Volatile Organic Compounds - analysis Volatile Organic Compounds - toxicity |
| title | Investigating the differences between receptor and dispersion modeling for concentration prediction and health risk assessment of volatile organic compounds from petrochemical industrial complexes |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-04T19%3A55%3A16IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Investigating%20the%20differences%20between%20receptor%20and%20dispersion%20modeling%20for%20concentration%20prediction%20and%20health%20risk%20assessment%20of%20volatile%20organic%20compounds%20from%20petrochemical%20industrial%20complexes&rft.jtitle=Journal%20of%20environmental%20management&rft.au=Chen,%20Wei-Hsiang&rft.date=2016-01-15&rft.volume=166&rft.spage=440&rft.epage=449&rft.pages=440-449&rft.issn=0301-4797&rft.eissn=1095-8630&rft.coden=JEVMAW&rft_id=info:doi/10.1016/j.jenvman.2015.10.050&rft_dat=%3Cproquest_cross%3E1758941809%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1750413489&rft_id=info:pmid/26555100&rft_els_id=S0301479715303480&rfr_iscdi=true |