Optimal air quality policies and health: a multi-objective nonlinear approach
The use of modelling tools to support decision-makers to plan air quality policies is now quite widespread in Europe. In this paper, the Regional Integrated Assessment Tool (RIAT+), which was designed to support policy-maker decision on optimal emission reduction measures to improve air quality at m...
Gespeichert in:
| Veröffentlicht in: | Environmental science and pollution research international 2017-05, Vol.24 (15), p.13687-13699 |
|---|---|
| Hauptverfasser: | , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 13699 |
|---|---|
| container_issue | 15 |
| container_start_page | 13687 |
| container_title | Environmental science and pollution research international |
| container_volume | 24 |
| creator | Relvas, Helder Miranda, Ana Isabel Carnevale, Claudio Maffeis, Giuseppe Turrini, Enrico Volta, Marialuisa |
| description | The use of modelling tools to support decision-makers to plan air quality policies is now quite widespread in Europe. In this paper, the Regional Integrated Assessment Tool (RIAT+), which was designed to support policy-maker decision on optimal emission reduction measures to improve air quality at minimum costs, is applied to the Porto Urban Area (Portugal). In addition to technological measures, some local measures were included in the optimization process. Case study results are presented for a multi-objective approach focused on both NO
2
and PM10 control measures, assuming equivalent importance in the optimization process. The optimal set of air quality measures is capable to reduce simultaneously the annual average concentrations values of PM10 and NO
2
in 1.7 and 1.0 μg/m
3
, respectively. This paper illustrates how the tool could be used to prioritize policy objectives and help making informed decisions about reducing air pollution and improving public health. |
| doi_str_mv | 10.1007/s11356-017-8895-7 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1886753252</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1886753252</sourcerecordid><originalsourceid>FETCH-LOGICAL-c456t-51d03158ff2ea387f25fd125e9c63a7c8812dbe1b27b753326826e95c4ae3d9e3</originalsourceid><addsrcrecordid>eNp1kMFu1DAQhi0EotuFB-CCLHHhYvDYcWz3VlXQVirqBc6W40xYr7xJaieV-va42lJVSJzmMN__z-gj5APwL8C5_loApGoZB82MsYrpV2QDLTRMN9a-Jhtum4aBbJoTclrKnnPBrdBvyYkw0moQYkN-3M5LPPhEfcz0bvUpLg90nlIMEQv1Y0936NOyO6OeHta0RDZ1ewxLvEc6TmOKI_pM_TznyYfdO_Jm8Kng-6e5Jb--f_t5ccVubi-vL85vWGhUuzAFPZegzDAI9NLoQaihB6HQhlZ6HYwB0XcIndCdVlKK1ogWrQqNR9lblFvy-dhbz96tWBZ3iCVgSn7EaS0OjGlrUChR0U__oPtpzWP9zoE1rQBuqo0tgSMV8lRKxsHNuWrJDw64e3Ttjq5dde0eXTtdMx-fmtfugP1z4q_cCogjUOpq_I35xen_tv4B3-6ItQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1986210828</pqid></control><display><type>article</type><title>Optimal air quality policies and health: a multi-objective nonlinear approach</title><source>MEDLINE</source><source>SpringerNature Journals</source><creator>Relvas, Helder ; Miranda, Ana Isabel ; Carnevale, Claudio ; Maffeis, Giuseppe ; Turrini, Enrico ; Volta, Marialuisa</creator><creatorcontrib>Relvas, Helder ; Miranda, Ana Isabel ; Carnevale, Claudio ; Maffeis, Giuseppe ; Turrini, Enrico ; Volta, Marialuisa</creatorcontrib><description>The use of modelling tools to support decision-makers to plan air quality policies is now quite widespread in Europe. In this paper, the Regional Integrated Assessment Tool (RIAT+), which was designed to support policy-maker decision on optimal emission reduction measures to improve air quality at minimum costs, is applied to the Porto Urban Area (Portugal). In addition to technological measures, some local measures were included in the optimization process. Case study results are presented for a multi-objective approach focused on both NO
2
and PM10 control measures, assuming equivalent importance in the optimization process. The optimal set of air quality measures is capable to reduce simultaneously the annual average concentrations values of PM10 and NO
2
in 1.7 and 1.0 μg/m
3
, respectively. This paper illustrates how the tool could be used to prioritize policy objectives and help making informed decisions about reducing air pollution and improving public health.</description><identifier>ISSN: 0944-1344</identifier><identifier>EISSN: 1614-7499</identifier><identifier>DOI: 10.1007/s11356-017-8895-7</identifier><identifier>PMID: 28397122</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Air Pollutants ; Air Pollution ; Air pollution control ; Air quality ; Air quality measurements ; Aquatic Pollution ; Atmospheric Protection/Air Quality Control/Air Pollution ; Earth and Environmental Science ; Ecotoxicology ; Emission measurements ; Emissions control ; Environment ; Environmental Chemistry ; Environmental Health ; Environmental policy ; Environmental science ; Europe ; Humans ; Models, Theoretical ; Multiple objective analysis ; Nitrogen dioxide ; Optimization ; Outdoor air quality ; Particulate matter ; Policies ; Public Health ; Regional analysis ; Research Article ; Urban areas ; Waste Water Technology ; Water Management ; Water Pollution Control</subject><ispartof>Environmental science and pollution research international, 2017-05, Vol.24 (15), p.13687-13699</ispartof><rights>Springer-Verlag Berlin Heidelberg 2017</rights><rights>Environmental Science and Pollution Research is a copyright of Springer, (2017). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c456t-51d03158ff2ea387f25fd125e9c63a7c8812dbe1b27b753326826e95c4ae3d9e3</citedby><cites>FETCH-LOGICAL-c456t-51d03158ff2ea387f25fd125e9c63a7c8812dbe1b27b753326826e95c4ae3d9e3</cites><orcidid>0000-0001-7676-2667</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11356-017-8895-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11356-017-8895-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28397122$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Relvas, Helder</creatorcontrib><creatorcontrib>Miranda, Ana Isabel</creatorcontrib><creatorcontrib>Carnevale, Claudio</creatorcontrib><creatorcontrib>Maffeis, Giuseppe</creatorcontrib><creatorcontrib>Turrini, Enrico</creatorcontrib><creatorcontrib>Volta, Marialuisa</creatorcontrib><title>Optimal air quality policies and health: a multi-objective nonlinear approach</title><title>Environmental science and pollution research international</title><addtitle>Environ Sci Pollut Res</addtitle><addtitle>Environ Sci Pollut Res Int</addtitle><description>The use of modelling tools to support decision-makers to plan air quality policies is now quite widespread in Europe. In this paper, the Regional Integrated Assessment Tool (RIAT+), which was designed to support policy-maker decision on optimal emission reduction measures to improve air quality at minimum costs, is applied to the Porto Urban Area (Portugal). In addition to technological measures, some local measures were included in the optimization process. Case study results are presented for a multi-objective approach focused on both NO
2
and PM10 control measures, assuming equivalent importance in the optimization process. The optimal set of air quality measures is capable to reduce simultaneously the annual average concentrations values of PM10 and NO
2
in 1.7 and 1.0 μg/m
3
, respectively. This paper illustrates how the tool could be used to prioritize policy objectives and help making informed decisions about reducing air pollution and improving public health.</description><subject>Air Pollutants</subject><subject>Air Pollution</subject><subject>Air pollution control</subject><subject>Air quality</subject><subject>Air quality measurements</subject><subject>Aquatic Pollution</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Earth and Environmental Science</subject><subject>Ecotoxicology</subject><subject>Emission measurements</subject><subject>Emissions control</subject><subject>Environment</subject><subject>Environmental Chemistry</subject><subject>Environmental Health</subject><subject>Environmental policy</subject><subject>Environmental science</subject><subject>Europe</subject><subject>Humans</subject><subject>Models, Theoretical</subject><subject>Multiple objective analysis</subject><subject>Nitrogen dioxide</subject><subject>Optimization</subject><subject>Outdoor air quality</subject><subject>Particulate matter</subject><subject>Policies</subject><subject>Public Health</subject><subject>Regional analysis</subject><subject>Research Article</subject><subject>Urban areas</subject><subject>Waste Water Technology</subject><subject>Water Management</subject><subject>Water Pollution Control</subject><issn>0944-1344</issn><issn>1614-7499</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kMFu1DAQhi0EotuFB-CCLHHhYvDYcWz3VlXQVirqBc6W40xYr7xJaieV-va42lJVSJzmMN__z-gj5APwL8C5_loApGoZB82MsYrpV2QDLTRMN9a-Jhtum4aBbJoTclrKnnPBrdBvyYkw0moQYkN-3M5LPPhEfcz0bvUpLg90nlIMEQv1Y0936NOyO6OeHta0RDZ1ewxLvEc6TmOKI_pM_TznyYfdO_Jm8Kng-6e5Jb--f_t5ccVubi-vL85vWGhUuzAFPZegzDAI9NLoQaihB6HQhlZ6HYwB0XcIndCdVlKK1ogWrQqNR9lblFvy-dhbz96tWBZ3iCVgSn7EaS0OjGlrUChR0U__oPtpzWP9zoE1rQBuqo0tgSMV8lRKxsHNuWrJDw64e3Ttjq5dde0eXTtdMx-fmtfugP1z4q_cCogjUOpq_I35xen_tv4B3-6ItQ</recordid><startdate>20170501</startdate><enddate>20170501</enddate><creator>Relvas, Helder</creator><creator>Miranda, Ana Isabel</creator><creator>Carnevale, Claudio</creator><creator>Maffeis, Giuseppe</creator><creator>Turrini, Enrico</creator><creator>Volta, Marialuisa</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</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>3V.</scope><scope>7QL</scope><scope>7SN</scope><scope>7T7</scope><scope>7TV</scope><scope>7U7</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>K9.</scope><scope>L.-</scope><scope>M0C</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7N</scope><scope>P64</scope><scope>PATMY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-7676-2667</orcidid></search><sort><creationdate>20170501</creationdate><title>Optimal air quality policies and health: a multi-objective nonlinear approach</title><author>Relvas, Helder ; Miranda, Ana Isabel ; Carnevale, Claudio ; Maffeis, Giuseppe ; Turrini, Enrico ; Volta, Marialuisa</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c456t-51d03158ff2ea387f25fd125e9c63a7c8812dbe1b27b753326826e95c4ae3d9e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Air Pollutants</topic><topic>Air Pollution</topic><topic>Air pollution control</topic><topic>Air quality</topic><topic>Air quality measurements</topic><topic>Aquatic Pollution</topic><topic>Atmospheric Protection/Air Quality Control/Air Pollution</topic><topic>Earth and Environmental Science</topic><topic>Ecotoxicology</topic><topic>Emission measurements</topic><topic>Emissions control</topic><topic>Environment</topic><topic>Environmental Chemistry</topic><topic>Environmental Health</topic><topic>Environmental policy</topic><topic>Environmental science</topic><topic>Europe</topic><topic>Humans</topic><topic>Models, Theoretical</topic><topic>Multiple objective analysis</topic><topic>Nitrogen dioxide</topic><topic>Optimization</topic><topic>Outdoor air quality</topic><topic>Particulate matter</topic><topic>Policies</topic><topic>Public Health</topic><topic>Regional analysis</topic><topic>Research Article</topic><topic>Urban areas</topic><topic>Waste Water Technology</topic><topic>Water Management</topic><topic>Water Pollution Control</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Relvas, Helder</creatorcontrib><creatorcontrib>Miranda, Ana Isabel</creatorcontrib><creatorcontrib>Carnevale, Claudio</creatorcontrib><creatorcontrib>Maffeis, Giuseppe</creatorcontrib><creatorcontrib>Turrini, Enrico</creatorcontrib><creatorcontrib>Volta, Marialuisa</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Ecology Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Pollution Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Access via ABI/INFORM (ProQuest)</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Global</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Environmental science and pollution research international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Relvas, Helder</au><au>Miranda, Ana Isabel</au><au>Carnevale, Claudio</au><au>Maffeis, Giuseppe</au><au>Turrini, Enrico</au><au>Volta, Marialuisa</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimal air quality policies and health: a multi-objective nonlinear approach</atitle><jtitle>Environmental science and pollution research international</jtitle><stitle>Environ Sci Pollut Res</stitle><addtitle>Environ Sci Pollut Res Int</addtitle><date>2017-05-01</date><risdate>2017</risdate><volume>24</volume><issue>15</issue><spage>13687</spage><epage>13699</epage><pages>13687-13699</pages><issn>0944-1344</issn><eissn>1614-7499</eissn><abstract>The use of modelling tools to support decision-makers to plan air quality policies is now quite widespread in Europe. In this paper, the Regional Integrated Assessment Tool (RIAT+), which was designed to support policy-maker decision on optimal emission reduction measures to improve air quality at minimum costs, is applied to the Porto Urban Area (Portugal). In addition to technological measures, some local measures were included in the optimization process. Case study results are presented for a multi-objective approach focused on both NO
2
and PM10 control measures, assuming equivalent importance in the optimization process. The optimal set of air quality measures is capable to reduce simultaneously the annual average concentrations values of PM10 and NO
2
in 1.7 and 1.0 μg/m
3
, respectively. This paper illustrates how the tool could be used to prioritize policy objectives and help making informed decisions about reducing air pollution and improving public health.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>28397122</pmid><doi>10.1007/s11356-017-8895-7</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0001-7676-2667</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0944-1344 |
| ispartof | Environmental science and pollution research international, 2017-05, Vol.24 (15), p.13687-13699 |
| issn | 0944-1344 1614-7499 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1886753252 |
| source | MEDLINE; SpringerNature Journals |
| subjects | Air Pollutants Air Pollution Air pollution control Air quality Air quality measurements Aquatic Pollution Atmospheric Protection/Air Quality Control/Air Pollution Earth and Environmental Science Ecotoxicology Emission measurements Emissions control Environment Environmental Chemistry Environmental Health Environmental policy Environmental science Europe Humans Models, Theoretical Multiple objective analysis Nitrogen dioxide Optimization Outdoor air quality Particulate matter Policies Public Health Regional analysis Research Article Urban areas Waste Water Technology Water Management Water Pollution Control |
| title | Optimal air quality policies and health: a multi-objective nonlinear approach |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T21%3A54%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=Optimal%20air%20quality%20policies%20and%20health:%20a%20multi-objective%20nonlinear%20approach&rft.jtitle=Environmental%20science%20and%20pollution%20research%20international&rft.au=Relvas,%20Helder&rft.date=2017-05-01&rft.volume=24&rft.issue=15&rft.spage=13687&rft.epage=13699&rft.pages=13687-13699&rft.issn=0944-1344&rft.eissn=1614-7499&rft_id=info:doi/10.1007/s11356-017-8895-7&rft_dat=%3Cproquest_cross%3E1886753252%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=1986210828&rft_id=info:pmid/28397122&rfr_iscdi=true |