Spatially resolved environmental fate models: A review
Spatially resolved environmental models are important tools to introduce and highlight the spatial variability of the real world into modeling. Although various spatial models have been developed so far, yet the development and evaluation of these models remain a challenging task due to several diff...
Gespeichert in:
Veröffentlicht in: | Chemosphere (Oxford) 2022-03, Vol.290, p.133394-133394, Article 133394 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 133394 |
---|---|
container_issue | |
container_start_page | 133394 |
container_title | Chemosphere (Oxford) |
container_volume | 290 |
creator | Falakdin, Parisa Terzaghi, Elisa Di Guardo, Antonio |
description | Spatially resolved environmental models are important tools to introduce and highlight the spatial variability of the real world into modeling. Although various spatial models have been developed so far, yet the development and evaluation of these models remain a challenging task due to several difficulties related to model setup, computational cost, and obtaining high-resolution input data (e.g., monitoring and emission data). For example, atmospheric transport models can be used when high resolution predicted concentrations in atmospheric compartments are required, while spatial multimedia fate models may be preferred for regulatory risk assessment, life cycle impact assessment of chemicals, or when the partitioning of chemical substances in a multimedia environment is considered. The goal of this paper is to review and compare different spatially resolved environmental models, according to their spatial, temporal and chemical domains, with a closer insight into spatial multimedia fate models, to achieve a better understanding of their strengths and limitations. This review also points out several requirements for further improvement of existing models as well as for their integration.
[Display omitted]
•Spatial atmospheric transport models and multimedia fate models were reviewed.•More than 50 spatial models were described including their applications.•Their spatial, temporal, and chemical domains were investigated for comparison.•Further developments especially their integration is suggested. |
doi_str_mv | 10.1016/j.chemosphere.2021.133394 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2614758501</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0045653521038686</els_id><sourcerecordid>2614758501</sourcerecordid><originalsourceid>FETCH-LOGICAL-c377t-924d23a87284b7ce80243fba9e49d805e1c796bc1311877c39af1934f06d28b13</originalsourceid><addsrcrecordid>eNqNkDtPwzAUhS0EoqXwF1DYWBL8SmyzVRUvqRIDMFuOc6O6ygs7Leq_J1EKYmS6y3fOufoQuiE4IZhkd9vEbqBuQ7cBDwnFlCSEMab4CZoTKVRMqJKnaI4xT-MsZekMXYSwxXgIp-oczRhXKZMim6PsrTO9M1V1iDyEttpDEUGzd75tamh6U0Wl6SGq2wKqcB8tB2rv4OsSnZWmCnB1vAv08fjwvnqO169PL6vlOrZMiD5WlBeUGSmo5LmwIDHlrMyNAq4KiVMgVqgst4SR4W9hmTIlUYyXOCuozAlboNupt_Pt5w5Cr2sXLFSVaaDdBU0zwkUqUzyiakKtb0PwUOrOu9r4gyZYj9r0Vv_RpkdtetI2ZK-PM7u8huI3-eNpAFYTMFgYBXgdrIPGQuE82F4XrfvHzDdg1YMh</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2614758501</pqid></control><display><type>article</type><title>Spatially resolved environmental fate models: A review</title><source>MEDLINE</source><source>Access via ScienceDirect (Elsevier)</source><creator>Falakdin, Parisa ; Terzaghi, Elisa ; Di Guardo, Antonio</creator><creatorcontrib>Falakdin, Parisa ; Terzaghi, Elisa ; Di Guardo, Antonio</creatorcontrib><description>Spatially resolved environmental models are important tools to introduce and highlight the spatial variability of the real world into modeling. Although various spatial models have been developed so far, yet the development and evaluation of these models remain a challenging task due to several difficulties related to model setup, computational cost, and obtaining high-resolution input data (e.g., monitoring and emission data). For example, atmospheric transport models can be used when high resolution predicted concentrations in atmospheric compartments are required, while spatial multimedia fate models may be preferred for regulatory risk assessment, life cycle impact assessment of chemicals, or when the partitioning of chemical substances in a multimedia environment is considered. The goal of this paper is to review and compare different spatially resolved environmental models, according to their spatial, temporal and chemical domains, with a closer insight into spatial multimedia fate models, to achieve a better understanding of their strengths and limitations. This review also points out several requirements for further improvement of existing models as well as for their integration.
[Display omitted]
•Spatial atmospheric transport models and multimedia fate models were reviewed.•More than 50 spatial models were described including their applications.•Their spatial, temporal, and chemical domains were investigated for comparison.•Further developments especially their integration is suggested.</description><identifier>ISSN: 0045-6535</identifier><identifier>EISSN: 1879-1298</identifier><identifier>DOI: 10.1016/j.chemosphere.2021.133394</identifier><identifier>PMID: 34953876</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Atmospheric models ; Environmental Monitoring ; Environmental Pollutants - analysis ; GIS ; Mathematical models ; Models, Theoretical ; Multimedia ; Multimedia chemical fate models ; Risk Assessment ; Spatially explicit models ; Spatio-temporal resolution</subject><ispartof>Chemosphere (Oxford), 2022-03, Vol.290, p.133394-133394, Article 133394</ispartof><rights>2021 Elsevier Ltd</rights><rights>Copyright © 2021 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c377t-924d23a87284b7ce80243fba9e49d805e1c796bc1311877c39af1934f06d28b13</citedby><cites>FETCH-LOGICAL-c377t-924d23a87284b7ce80243fba9e49d805e1c796bc1311877c39af1934f06d28b13</cites><orcidid>0000-0002-8871-5232 ; 0000-0001-9284-2763</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.chemosphere.2021.133394$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34953876$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Falakdin, Parisa</creatorcontrib><creatorcontrib>Terzaghi, Elisa</creatorcontrib><creatorcontrib>Di Guardo, Antonio</creatorcontrib><title>Spatially resolved environmental fate models: A review</title><title>Chemosphere (Oxford)</title><addtitle>Chemosphere</addtitle><description>Spatially resolved environmental models are important tools to introduce and highlight the spatial variability of the real world into modeling. Although various spatial models have been developed so far, yet the development and evaluation of these models remain a challenging task due to several difficulties related to model setup, computational cost, and obtaining high-resolution input data (e.g., monitoring and emission data). For example, atmospheric transport models can be used when high resolution predicted concentrations in atmospheric compartments are required, while spatial multimedia fate models may be preferred for regulatory risk assessment, life cycle impact assessment of chemicals, or when the partitioning of chemical substances in a multimedia environment is considered. The goal of this paper is to review and compare different spatially resolved environmental models, according to their spatial, temporal and chemical domains, with a closer insight into spatial multimedia fate models, to achieve a better understanding of their strengths and limitations. This review also points out several requirements for further improvement of existing models as well as for their integration.
[Display omitted]
•Spatial atmospheric transport models and multimedia fate models were reviewed.•More than 50 spatial models were described including their applications.•Their spatial, temporal, and chemical domains were investigated for comparison.•Further developments especially their integration is suggested.</description><subject>Atmospheric models</subject><subject>Environmental Monitoring</subject><subject>Environmental Pollutants - analysis</subject><subject>GIS</subject><subject>Mathematical models</subject><subject>Models, Theoretical</subject><subject>Multimedia</subject><subject>Multimedia chemical fate models</subject><subject>Risk Assessment</subject><subject>Spatially explicit models</subject><subject>Spatio-temporal resolution</subject><issn>0045-6535</issn><issn>1879-1298</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkDtPwzAUhS0EoqXwF1DYWBL8SmyzVRUvqRIDMFuOc6O6ygs7Leq_J1EKYmS6y3fOufoQuiE4IZhkd9vEbqBuQ7cBDwnFlCSEMab4CZoTKVRMqJKnaI4xT-MsZekMXYSwxXgIp-oczRhXKZMim6PsrTO9M1V1iDyEttpDEUGzd75tamh6U0Wl6SGq2wKqcB8tB2rv4OsSnZWmCnB1vAv08fjwvnqO169PL6vlOrZMiD5WlBeUGSmo5LmwIDHlrMyNAq4KiVMgVqgst4SR4W9hmTIlUYyXOCuozAlboNupt_Pt5w5Cr2sXLFSVaaDdBU0zwkUqUzyiakKtb0PwUOrOu9r4gyZYj9r0Vv_RpkdtetI2ZK-PM7u8huI3-eNpAFYTMFgYBXgdrIPGQuE82F4XrfvHzDdg1YMh</recordid><startdate>202203</startdate><enddate>202203</enddate><creator>Falakdin, Parisa</creator><creator>Terzaghi, Elisa</creator><creator>Di Guardo, Antonio</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><orcidid>https://orcid.org/0000-0002-8871-5232</orcidid><orcidid>https://orcid.org/0000-0001-9284-2763</orcidid></search><sort><creationdate>202203</creationdate><title>Spatially resolved environmental fate models: A review</title><author>Falakdin, Parisa ; Terzaghi, Elisa ; Di Guardo, Antonio</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c377t-924d23a87284b7ce80243fba9e49d805e1c796bc1311877c39af1934f06d28b13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Atmospheric models</topic><topic>Environmental Monitoring</topic><topic>Environmental Pollutants - analysis</topic><topic>GIS</topic><topic>Mathematical models</topic><topic>Models, Theoretical</topic><topic>Multimedia</topic><topic>Multimedia chemical fate models</topic><topic>Risk Assessment</topic><topic>Spatially explicit models</topic><topic>Spatio-temporal resolution</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Falakdin, Parisa</creatorcontrib><creatorcontrib>Terzaghi, Elisa</creatorcontrib><creatorcontrib>Di Guardo, Antonio</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>Falakdin, Parisa</au><au>Terzaghi, Elisa</au><au>Di Guardo, Antonio</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatially resolved environmental fate models: A review</atitle><jtitle>Chemosphere (Oxford)</jtitle><addtitle>Chemosphere</addtitle><date>2022-03</date><risdate>2022</risdate><volume>290</volume><spage>133394</spage><epage>133394</epage><pages>133394-133394</pages><artnum>133394</artnum><issn>0045-6535</issn><eissn>1879-1298</eissn><abstract>Spatially resolved environmental models are important tools to introduce and highlight the spatial variability of the real world into modeling. Although various spatial models have been developed so far, yet the development and evaluation of these models remain a challenging task due to several difficulties related to model setup, computational cost, and obtaining high-resolution input data (e.g., monitoring and emission data). For example, atmospheric transport models can be used when high resolution predicted concentrations in atmospheric compartments are required, while spatial multimedia fate models may be preferred for regulatory risk assessment, life cycle impact assessment of chemicals, or when the partitioning of chemical substances in a multimedia environment is considered. The goal of this paper is to review and compare different spatially resolved environmental models, according to their spatial, temporal and chemical domains, with a closer insight into spatial multimedia fate models, to achieve a better understanding of their strengths and limitations. This review also points out several requirements for further improvement of existing models as well as for their integration.
[Display omitted]
•Spatial atmospheric transport models and multimedia fate models were reviewed.•More than 50 spatial models were described including their applications.•Their spatial, temporal, and chemical domains were investigated for comparison.•Further developments especially their integration is suggested.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>34953876</pmid><doi>10.1016/j.chemosphere.2021.133394</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-8871-5232</orcidid><orcidid>https://orcid.org/0000-0001-9284-2763</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0045-6535 |
ispartof | Chemosphere (Oxford), 2022-03, Vol.290, p.133394-133394, Article 133394 |
issn | 0045-6535 1879-1298 |
language | eng |
recordid | cdi_proquest_miscellaneous_2614758501 |
source | MEDLINE; Access via ScienceDirect (Elsevier) |
subjects | Atmospheric models Environmental Monitoring Environmental Pollutants - analysis GIS Mathematical models Models, Theoretical Multimedia Multimedia chemical fate models Risk Assessment Spatially explicit models Spatio-temporal resolution |
title | Spatially resolved environmental fate models: A review |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-28T05%3A13%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=Spatially%20resolved%20environmental%20fate%20models:%20A%20review&rft.jtitle=Chemosphere%20(Oxford)&rft.au=Falakdin,%20Parisa&rft.date=2022-03&rft.volume=290&rft.spage=133394&rft.epage=133394&rft.pages=133394-133394&rft.artnum=133394&rft.issn=0045-6535&rft.eissn=1879-1298&rft_id=info:doi/10.1016/j.chemosphere.2021.133394&rft_dat=%3Cproquest_cross%3E2614758501%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=2614758501&rft_id=info:pmid/34953876&rft_els_id=S0045653521038686&rfr_iscdi=true |