Loading…
Development of a geography-referenced regional exposure assessment tool for European rivers—GREAT-ER
The objective of the GREAT-ER project is to develop and validate a powerful and accurate aquatic chemical exposure prediction tool for use within the EU environmental risk assessment schemes. Current techniques to estimate regional PECs use a generic multimedia `unit world' approach and do not...
Saved in:
Published in: | Journal of hazardous materials 1998-08, Vol.61 (1), p.59-65 |
---|---|
Main Authors: | , , , , , , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c466t-b57f213ade67d0e3f5b52b6804838037f5ea01b9d29c5772925b1d25c442e9473 |
---|---|
cites | cdi_FETCH-LOGICAL-c466t-b57f213ade67d0e3f5b52b6804838037f5ea01b9d29c5772925b1d25c442e9473 |
container_end_page | 65 |
container_issue | 1 |
container_start_page | 59 |
container_title | Journal of hazardous materials |
container_volume | 61 |
creator | Feijtel, T Boeije, G Matthies, M Young, A Morris, G Gandolfi, C Hansen, B Fox, K Matthijs, E Koch, V Schroder, R Cassani, G Schowanek, D Rosenblom, J Holt, M |
description | The objective of the GREAT-ER project is to develop and validate a powerful and accurate aquatic chemical exposure prediction tool for use within the EU environmental risk assessment schemes. Current techniques to estimate regional PECs use a generic multimedia `unit world' approach and do not account for spatial and temporal variability in landscape characteristics, river flows and/or chemical emissions. Hence, the results are merely applicable on a generic screening level since these models do not offer a realistic prediction of actual steady-state background concentrations. In addition, the default EU generic regional environment (EU Technical Guidance Documents, 1996) only allows treatment for 70% of the waste water mass loading, leaving 30% of mass loading to this generic region untreated. A new database, model and software system will be developed to calculate the distribution of predicted environmental concentrations (PEC), both in space and time, of down the drain chemicals in European surface waters on a river and catchment area level. Data on dissolved oxygen, biological oxygen demand and ammonia will also be used to assess water quality and to provide data for calibration and validation. The system will use Geographical Information Systems (GIS) for data storage and visualization, combined with simple mathematical models for prediction of chemical fate. Hydrological databases and models will be used to determine flow and dilution data. This refined exposure assessment tool should greatly enhance the accuracy of current local and regional exposure estimation methods. The new exposure assessment methodology will integrate specific environmental information and be worked out in a geographically-referenced framework, ultimately on a pan-European scale. This research project is carried out on behalf of ECETOC, and sponsored by the Environmental Risk Assessment Steering Committee (ERASM) of the Association Internationale de la Savonnerie, de la Détergence et des Produits d'Entretien (A.I.S.E.) and the Comité Européen de Agents de Surface et Intermédiares Organiques (CESIO) in cooperation with the UK Environment Agency. |
doi_str_mv | 10.1016/S0304-3894(98)00108-3 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_27505461</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0304389498001083</els_id><sourcerecordid>14494969</sourcerecordid><originalsourceid>FETCH-LOGICAL-c466t-b57f213ade67d0e3f5b52b6804838037f5ea01b9d29c5772925b1d25c442e9473</originalsourceid><addsrcrecordid>eNqFkc9u1DAQhy0EUpfCI1TyoaroIeC_cXxCVVkKUiWkUs6W44wXV9k49WRX9NaH4Al5EtLdqtc9zeX7zW80HyEnnH3kjNeffjLJVCUbqz7Y5pwxzppKviIL3hhZSSnr12TxghyRt4h3bKaMVgsSv8AW-jyuYZhojtTTFeRV8ePvh6pAhAJDgI4WWKU8-J7CnzHjpgD1iIC4i0059zTmQpebkkfwAy1pCwX_Pf69ulle3FbLm3fkTfQ9wvvneUx-fV3eXn6rrn9cfb-8uK6CquuparWJgkvfQW06BjLqVou2bphqZMOkiRo8463thA3aGGGFbnkndFBKgFVGHpOz_d6x5PsN4OTWCQP0vR8gb9AJo5lWNT8IcsOVsZwdBpWyytZ2BvUeDCUjzr9zY0lrXx4cZ-7Jk9t5ck8SnG3czpOTc-70ucBj8H0sfggJX8JCzacwPWOf9xjM79smKA5D2slJBcLkupwOFP0HGgKnhA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>14494969</pqid></control><display><type>article</type><title>Development of a geography-referenced regional exposure assessment tool for European rivers—GREAT-ER</title><source>ScienceDirect Freedom Collection</source><creator>Feijtel, T ; Boeije, G ; Matthies, M ; Young, A ; Morris, G ; Gandolfi, C ; Hansen, B ; Fox, K ; Matthijs, E ; Koch, V ; Schroder, R ; Cassani, G ; Schowanek, D ; Rosenblom, J ; Holt, M</creator><contributor>Ale, BJM</contributor><creatorcontrib>Feijtel, T ; Boeije, G ; Matthies, M ; Young, A ; Morris, G ; Gandolfi, C ; Hansen, B ; Fox, K ; Matthijs, E ; Koch, V ; Schroder, R ; Cassani, G ; Schowanek, D ; Rosenblom, J ; Holt, M ; Ale, BJM</creatorcontrib><description>The objective of the GREAT-ER project is to develop and validate a powerful and accurate aquatic chemical exposure prediction tool for use within the EU environmental risk assessment schemes. Current techniques to estimate regional PECs use a generic multimedia `unit world' approach and do not account for spatial and temporal variability in landscape characteristics, river flows and/or chemical emissions. Hence, the results are merely applicable on a generic screening level since these models do not offer a realistic prediction of actual steady-state background concentrations. In addition, the default EU generic regional environment (EU Technical Guidance Documents, 1996) only allows treatment for 70% of the waste water mass loading, leaving 30% of mass loading to this generic region untreated. A new database, model and software system will be developed to calculate the distribution of predicted environmental concentrations (PEC), both in space and time, of down the drain chemicals in European surface waters on a river and catchment area level. Data on dissolved oxygen, biological oxygen demand and ammonia will also be used to assess water quality and to provide data for calibration and validation. The system will use Geographical Information Systems (GIS) for data storage and visualization, combined with simple mathematical models for prediction of chemical fate. Hydrological databases and models will be used to determine flow and dilution data. This refined exposure assessment tool should greatly enhance the accuracy of current local and regional exposure estimation methods. The new exposure assessment methodology will integrate specific environmental information and be worked out in a geographically-referenced framework, ultimately on a pan-European scale. This research project is carried out on behalf of ECETOC, and sponsored by the Environmental Risk Assessment Steering Committee (ERASM) of the Association Internationale de la Savonnerie, de la Détergence et des Produits d'Entretien (A.I.S.E.) and the Comité Européen de Agents de Surface et Intermédiares Organiques (CESIO) in cooperation with the UK Environment Agency.</description><identifier>ISSN: 0304-3894</identifier><identifier>EISSN: 1873-3336</identifier><identifier>DOI: 10.1016/S0304-3894(98)00108-3</identifier><identifier>CODEN: JHMAD9</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Animal, plant and microbial ecology ; Applied ecology ; Applied sciences ; Biological and medical sciences ; Continental surface waters ; Earth sciences ; Earth, ocean, space ; Ecotoxicology, biological effects of pollution ; Engineering and environment geology. Geothermics ; Environmental exposure assessment ; European legislation ; Exact sciences and technology ; Fate models ; Fresh water environment ; Fundamental and applied biological sciences. Psychology ; Geography-referenced regional exposure assessment tool for European rivers ; Natural water pollution ; Pollution ; Pollution, environment geology ; Risk assessment ; Water treatment and pollution</subject><ispartof>Journal of hazardous materials, 1998-08, Vol.61 (1), p.59-65</ispartof><rights>1998 Elsevier Science B.V.</rights><rights>1998 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c466t-b57f213ade67d0e3f5b52b6804838037f5ea01b9d29c5772925b1d25c442e9473</citedby><cites>FETCH-LOGICAL-c466t-b57f213ade67d0e3f5b52b6804838037f5ea01b9d29c5772925b1d25c442e9473</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>309,310,314,780,784,789,790,23930,23931,25140,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=2417105$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><contributor>Ale, BJM</contributor><creatorcontrib>Feijtel, T</creatorcontrib><creatorcontrib>Boeije, G</creatorcontrib><creatorcontrib>Matthies, M</creatorcontrib><creatorcontrib>Young, A</creatorcontrib><creatorcontrib>Morris, G</creatorcontrib><creatorcontrib>Gandolfi, C</creatorcontrib><creatorcontrib>Hansen, B</creatorcontrib><creatorcontrib>Fox, K</creatorcontrib><creatorcontrib>Matthijs, E</creatorcontrib><creatorcontrib>Koch, V</creatorcontrib><creatorcontrib>Schroder, R</creatorcontrib><creatorcontrib>Cassani, G</creatorcontrib><creatorcontrib>Schowanek, D</creatorcontrib><creatorcontrib>Rosenblom, J</creatorcontrib><creatorcontrib>Holt, M</creatorcontrib><title>Development of a geography-referenced regional exposure assessment tool for European rivers—GREAT-ER</title><title>Journal of hazardous materials</title><description>The objective of the GREAT-ER project is to develop and validate a powerful and accurate aquatic chemical exposure prediction tool for use within the EU environmental risk assessment schemes. Current techniques to estimate regional PECs use a generic multimedia `unit world' approach and do not account for spatial and temporal variability in landscape characteristics, river flows and/or chemical emissions. Hence, the results are merely applicable on a generic screening level since these models do not offer a realistic prediction of actual steady-state background concentrations. In addition, the default EU generic regional environment (EU Technical Guidance Documents, 1996) only allows treatment for 70% of the waste water mass loading, leaving 30% of mass loading to this generic region untreated. A new database, model and software system will be developed to calculate the distribution of predicted environmental concentrations (PEC), both in space and time, of down the drain chemicals in European surface waters on a river and catchment area level. Data on dissolved oxygen, biological oxygen demand and ammonia will also be used to assess water quality and to provide data for calibration and validation. The system will use Geographical Information Systems (GIS) for data storage and visualization, combined with simple mathematical models for prediction of chemical fate. Hydrological databases and models will be used to determine flow and dilution data. This refined exposure assessment tool should greatly enhance the accuracy of current local and regional exposure estimation methods. The new exposure assessment methodology will integrate specific environmental information and be worked out in a geographically-referenced framework, ultimately on a pan-European scale. This research project is carried out on behalf of ECETOC, and sponsored by the Environmental Risk Assessment Steering Committee (ERASM) of the Association Internationale de la Savonnerie, de la Détergence et des Produits d'Entretien (A.I.S.E.) and the Comité Européen de Agents de Surface et Intermédiares Organiques (CESIO) in cooperation with the UK Environment Agency.</description><subject>Animal, plant and microbial ecology</subject><subject>Applied ecology</subject><subject>Applied sciences</subject><subject>Biological and medical sciences</subject><subject>Continental surface waters</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Ecotoxicology, biological effects of pollution</subject><subject>Engineering and environment geology. Geothermics</subject><subject>Environmental exposure assessment</subject><subject>European legislation</subject><subject>Exact sciences and technology</subject><subject>Fate models</subject><subject>Fresh water environment</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Geography-referenced regional exposure assessment tool for European rivers</subject><subject>Natural water pollution</subject><subject>Pollution</subject><subject>Pollution, environment geology</subject><subject>Risk assessment</subject><subject>Water treatment and pollution</subject><issn>0304-3894</issn><issn>1873-3336</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1998</creationdate><recordtype>article</recordtype><recordid>eNqFkc9u1DAQhy0EUpfCI1TyoaroIeC_cXxCVVkKUiWkUs6W44wXV9k49WRX9NaH4Al5EtLdqtc9zeX7zW80HyEnnH3kjNeffjLJVCUbqz7Y5pwxzppKviIL3hhZSSnr12TxghyRt4h3bKaMVgsSv8AW-jyuYZhojtTTFeRV8ePvh6pAhAJDgI4WWKU8-J7CnzHjpgD1iIC4i0059zTmQpebkkfwAy1pCwX_Pf69ulle3FbLm3fkTfQ9wvvneUx-fV3eXn6rrn9cfb-8uK6CquuparWJgkvfQW06BjLqVou2bphqZMOkiRo8463thA3aGGGFbnkndFBKgFVGHpOz_d6x5PsN4OTWCQP0vR8gb9AJo5lWNT8IcsOVsZwdBpWyytZ2BvUeDCUjzr9zY0lrXx4cZ-7Jk9t5ck8SnG3czpOTc-70ucBj8H0sfggJX8JCzacwPWOf9xjM79smKA5D2slJBcLkupwOFP0HGgKnhA</recordid><startdate>19980801</startdate><enddate>19980801</enddate><creator>Feijtel, T</creator><creator>Boeije, G</creator><creator>Matthies, M</creator><creator>Young, A</creator><creator>Morris, G</creator><creator>Gandolfi, C</creator><creator>Hansen, B</creator><creator>Fox, K</creator><creator>Matthijs, E</creator><creator>Koch, V</creator><creator>Schroder, R</creator><creator>Cassani, G</creator><creator>Schowanek, D</creator><creator>Rosenblom, J</creator><creator>Holt, M</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>C1K</scope><scope>SOI</scope><scope>7TV</scope><scope>7UA</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>19980801</creationdate><title>Development of a geography-referenced regional exposure assessment tool for European rivers—GREAT-ER</title><author>Feijtel, T ; Boeije, G ; Matthies, M ; Young, A ; Morris, G ; Gandolfi, C ; Hansen, B ; Fox, K ; Matthijs, E ; Koch, V ; Schroder, R ; Cassani, G ; Schowanek, D ; Rosenblom, J ; Holt, M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c466t-b57f213ade67d0e3f5b52b6804838037f5ea01b9d29c5772925b1d25c442e9473</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1998</creationdate><topic>Animal, plant and microbial ecology</topic><topic>Applied ecology</topic><topic>Applied sciences</topic><topic>Biological and medical sciences</topic><topic>Continental surface waters</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Ecotoxicology, biological effects of pollution</topic><topic>Engineering and environment geology. Geothermics</topic><topic>Environmental exposure assessment</topic><topic>European legislation</topic><topic>Exact sciences and technology</topic><topic>Fate models</topic><topic>Fresh water environment</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Geography-referenced regional exposure assessment tool for European rivers</topic><topic>Natural water pollution</topic><topic>Pollution</topic><topic>Pollution, environment geology</topic><topic>Risk assessment</topic><topic>Water treatment and pollution</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Feijtel, T</creatorcontrib><creatorcontrib>Boeije, G</creatorcontrib><creatorcontrib>Matthies, M</creatorcontrib><creatorcontrib>Young, A</creatorcontrib><creatorcontrib>Morris, G</creatorcontrib><creatorcontrib>Gandolfi, C</creatorcontrib><creatorcontrib>Hansen, B</creatorcontrib><creatorcontrib>Fox, K</creatorcontrib><creatorcontrib>Matthijs, E</creatorcontrib><creatorcontrib>Koch, V</creatorcontrib><creatorcontrib>Schroder, R</creatorcontrib><creatorcontrib>Cassani, G</creatorcontrib><creatorcontrib>Schowanek, D</creatorcontrib><creatorcontrib>Rosenblom, J</creatorcontrib><creatorcontrib>Holt, M</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Environment Abstracts</collection><collection>Pollution Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Journal of hazardous materials</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Feijtel, T</au><au>Boeije, G</au><au>Matthies, M</au><au>Young, A</au><au>Morris, G</au><au>Gandolfi, C</au><au>Hansen, B</au><au>Fox, K</au><au>Matthijs, E</au><au>Koch, V</au><au>Schroder, R</au><au>Cassani, G</au><au>Schowanek, D</au><au>Rosenblom, J</au><au>Holt, M</au><au>Ale, BJM</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Development of a geography-referenced regional exposure assessment tool for European rivers—GREAT-ER</atitle><jtitle>Journal of hazardous materials</jtitle><date>1998-08-01</date><risdate>1998</risdate><volume>61</volume><issue>1</issue><spage>59</spage><epage>65</epage><pages>59-65</pages><issn>0304-3894</issn><eissn>1873-3336</eissn><coden>JHMAD9</coden><abstract>The objective of the GREAT-ER project is to develop and validate a powerful and accurate aquatic chemical exposure prediction tool for use within the EU environmental risk assessment schemes. Current techniques to estimate regional PECs use a generic multimedia `unit world' approach and do not account for spatial and temporal variability in landscape characteristics, river flows and/or chemical emissions. Hence, the results are merely applicable on a generic screening level since these models do not offer a realistic prediction of actual steady-state background concentrations. In addition, the default EU generic regional environment (EU Technical Guidance Documents, 1996) only allows treatment for 70% of the waste water mass loading, leaving 30% of mass loading to this generic region untreated. A new database, model and software system will be developed to calculate the distribution of predicted environmental concentrations (PEC), both in space and time, of down the drain chemicals in European surface waters on a river and catchment area level. Data on dissolved oxygen, biological oxygen demand and ammonia will also be used to assess water quality and to provide data for calibration and validation. The system will use Geographical Information Systems (GIS) for data storage and visualization, combined with simple mathematical models for prediction of chemical fate. Hydrological databases and models will be used to determine flow and dilution data. This refined exposure assessment tool should greatly enhance the accuracy of current local and regional exposure estimation methods. The new exposure assessment methodology will integrate specific environmental information and be worked out in a geographically-referenced framework, ultimately on a pan-European scale. This research project is carried out on behalf of ECETOC, and sponsored by the Environmental Risk Assessment Steering Committee (ERASM) of the Association Internationale de la Savonnerie, de la Détergence et des Produits d'Entretien (A.I.S.E.) and the Comité Européen de Agents de Surface et Intermédiares Organiques (CESIO) in cooperation with the UK Environment Agency.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/S0304-3894(98)00108-3</doi><tpages>7</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0304-3894 |
ispartof | Journal of hazardous materials, 1998-08, Vol.61 (1), p.59-65 |
issn | 0304-3894 1873-3336 |
language | eng |
recordid | cdi_proquest_miscellaneous_27505461 |
source | ScienceDirect Freedom Collection |
subjects | Animal, plant and microbial ecology Applied ecology Applied sciences Biological and medical sciences Continental surface waters Earth sciences Earth, ocean, space Ecotoxicology, biological effects of pollution Engineering and environment geology. Geothermics Environmental exposure assessment European legislation Exact sciences and technology Fate models Fresh water environment Fundamental and applied biological sciences. Psychology Geography-referenced regional exposure assessment tool for European rivers Natural water pollution Pollution Pollution, environment geology Risk assessment Water treatment and pollution |
title | Development of a geography-referenced regional exposure assessment tool for European rivers—GREAT-ER |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T00%3A21%3A31IST&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=Development%20of%20a%20geography-referenced%20regional%20exposure%20assessment%20tool%20for%20European%20rivers%E2%80%94GREAT-ER&rft.jtitle=Journal%20of%20hazardous%20materials&rft.au=Feijtel,%20T&rft.date=1998-08-01&rft.volume=61&rft.issue=1&rft.spage=59&rft.epage=65&rft.pages=59-65&rft.issn=0304-3894&rft.eissn=1873-3336&rft.coden=JHMAD9&rft_id=info:doi/10.1016/S0304-3894(98)00108-3&rft_dat=%3Cproquest_cross%3E14494969%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c466t-b57f213ade67d0e3f5b52b6804838037f5ea01b9d29c5772925b1d25c442e9473%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=14494969&rft_id=info:pmid/&rfr_iscdi=true |