Loading…
Green roofs are effective in cooling and mitigating urban heat islands to improve human thermal comfort
The present work was carried out in the city of Recife, Pernambuco State, Brazil, one of the largest coastal cities in Northeast Brazil (NEB). The thermal behavior of a roof slab was verified before and after the installation of a green roof through thermal images, as well as the characterization of...
Saved in:
| Published in: | Modeling earth systems and environment 2023-11, Vol.9 (4), p.3985-3998 |
|---|---|
| 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-c319t-3facbae8a09cb176fe9f4216faddda74dccac64ac0b94f374a37bad81b1ace7b3 |
|---|---|
| cites | cdi_FETCH-LOGICAL-c319t-3facbae8a09cb176fe9f4216faddda74dccac64ac0b94f374a37bad81b1ace7b3 |
| container_end_page | 3998 |
| container_issue | 4 |
| container_start_page | 3985 |
| container_title | Modeling earth systems and environment |
| container_volume | 9 |
| creator | Santana, Taize Calvacante Guiselini, Cristiane Montenegro, Abelardo Antônio de Assunção Pandorfi, Héliton da Silva, Rodes Angelo Batista da Silva e Silva, Renan Batista, Pedro Henrique Dias Cavalcanti, Sávio Duarte Lopes Gomes, Nicoly Farias da Silva, Marcos Vinícius Jardim, Alexandre Maniçoba da Rosa Ferraz |
| description | The present work was carried out in the city of Recife, Pernambuco State, Brazil, one of the largest coastal cities in Northeast Brazil (NEB). The thermal behavior of a roof slab was verified before and after the installation of a green roof through thermal images, as well as the characterization of the spatial variability of the temperature of its internal surface applying geostatistical interpolation models, with emphasis on the characterization of the environmental thermal comfort. From the temperature matrices extracted from the captured thermal images, statistical and geostatistical analysis was performed. The Human Comfort Index (HCI) was calculated for the indoor environment. The results demonstrate that the adoption of the green roof significantly reduced the slab inner surface temperature, provided by the vegetation presence. The model that best characterized the effects of the green roof presence on the slab was the exponential, with a strong degree of spatial dependence (DSD 0.99). The characterization of the thermal variability of the indoor environment allowed identifying an average reduction in the HCI of 5.88 °C after the green roof installation, keeping it within the comfort zone in the range of 22.68 to 24.46 °C. Infrared thermography associated with geostatistical techniques proved to be effective in mapping and characterizing the slab temperature under green roof coverage, contributing to sustainable urban planning and the formulation of public policies to mitigate the effects of urban heat islands. |
| doi_str_mv | 10.1007/s40808-023-01743-0 |
| format | article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2870580921</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2870580921</sourcerecordid><originalsourceid>FETCH-LOGICAL-c319t-3facbae8a09cb176fe9f4216faddda74dccac64ac0b94f374a37bad81b1ace7b3</originalsourceid><addsrcrecordid>eNp9UEtLxDAQLqLgsu4f8BTwXJ0kNWmPsugqCF70HKZp0s2ybdYkFfz3Zq3ozcs8-B4zfEVxSeGaAsibWEENdQmMl0BlletJsWBc8FIwSk9_Z-DnxSrGHQBQwYRomkXRb4IxIwne20gwGGKsNTq5D0PcSLT3ezf2BMeODC65HtNxnUKLI9kaTMTFfQYjSZ644RB81m2nIaNpa8KA-2wxWB_SRXFmcR_N6qcvi7eH-9f1Y_n8snla3z2XmtMmldyibtHUCI1uqRTWNLZiVFjsug5l1WmNWlSooW0qy2WFXLbY1bSlqI1s-bK4mn3zL--TiUnt_BTGfFKxWsJtDQ2jmcVmlg4-xmCsOgQ3YPhUFNQxUzVnqnKm6jtTBVnEZ1HM5LE34c_6H9UXG8F8TA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2870580921</pqid></control><display><type>article</type><title>Green roofs are effective in cooling and mitigating urban heat islands to improve human thermal comfort</title><source>Springer Nature</source><creator>Santana, Taize Calvacante ; Guiselini, Cristiane ; Montenegro, Abelardo Antônio de Assunção ; Pandorfi, Héliton ; da Silva, Rodes Angelo Batista ; da Silva e Silva, Renan ; Batista, Pedro Henrique Dias ; Cavalcanti, Sávio Duarte Lopes ; Gomes, Nicoly Farias ; da Silva, Marcos Vinícius ; Jardim, Alexandre Maniçoba da Rosa Ferraz</creator><creatorcontrib>Santana, Taize Calvacante ; Guiselini, Cristiane ; Montenegro, Abelardo Antônio de Assunção ; Pandorfi, Héliton ; da Silva, Rodes Angelo Batista ; da Silva e Silva, Renan ; Batista, Pedro Henrique Dias ; Cavalcanti, Sávio Duarte Lopes ; Gomes, Nicoly Farias ; da Silva, Marcos Vinícius ; Jardim, Alexandre Maniçoba da Rosa Ferraz</creatorcontrib><description>The present work was carried out in the city of Recife, Pernambuco State, Brazil, one of the largest coastal cities in Northeast Brazil (NEB). The thermal behavior of a roof slab was verified before and after the installation of a green roof through thermal images, as well as the characterization of the spatial variability of the temperature of its internal surface applying geostatistical interpolation models, with emphasis on the characterization of the environmental thermal comfort. From the temperature matrices extracted from the captured thermal images, statistical and geostatistical analysis was performed. The Human Comfort Index (HCI) was calculated for the indoor environment. The results demonstrate that the adoption of the green roof significantly reduced the slab inner surface temperature, provided by the vegetation presence. The model that best characterized the effects of the green roof presence on the slab was the exponential, with a strong degree of spatial dependence (DSD < 25%) and significant fit (R2 > 0.99). The characterization of the thermal variability of the indoor environment allowed identifying an average reduction in the HCI of 5.88 °C after the green roof installation, keeping it within the comfort zone in the range of 22.68 to 24.46 °C. Infrared thermography associated with geostatistical techniques proved to be effective in mapping and characterizing the slab temperature under green roof coverage, contributing to sustainable urban planning and the formulation of public policies to mitigate the effects of urban heat islands.</description><identifier>ISSN: 2363-6203</identifier><identifier>EISSN: 2363-6211</identifier><identifier>DOI: 10.1007/s40808-023-01743-0</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Chemistry and Earth Sciences ; Cities ; Computer Science ; Earth and Environmental Science ; Earth Sciences ; Earth System Sciences ; Ecosystems ; Environment ; Geostatistics ; Green buildings ; Green roofs ; Human performance ; Indoor environments ; Infrared imaging ; Interpolation ; Islands ; Math. Appl. in Environmental Science ; Mathematical Applications in the Physical Sciences ; Original Article ; Physics ; Public policy ; Spatial variations ; Statistics for Engineering ; Surface temperature ; Thermal comfort ; Thermal imaging ; Thermodynamic properties ; Thermography ; Urban heat islands ; Urban planning</subject><ispartof>Modeling earth systems and environment, 2023-11, Vol.9 (4), p.3985-3998</ispartof><rights>The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-3facbae8a09cb176fe9f4216faddda74dccac64ac0b94f374a37bad81b1ace7b3</citedby><cites>FETCH-LOGICAL-c319t-3facbae8a09cb176fe9f4216faddda74dccac64ac0b94f374a37bad81b1ace7b3</cites><orcidid>0000-0002-4694-1581</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Santana, Taize Calvacante</creatorcontrib><creatorcontrib>Guiselini, Cristiane</creatorcontrib><creatorcontrib>Montenegro, Abelardo Antônio de Assunção</creatorcontrib><creatorcontrib>Pandorfi, Héliton</creatorcontrib><creatorcontrib>da Silva, Rodes Angelo Batista</creatorcontrib><creatorcontrib>da Silva e Silva, Renan</creatorcontrib><creatorcontrib>Batista, Pedro Henrique Dias</creatorcontrib><creatorcontrib>Cavalcanti, Sávio Duarte Lopes</creatorcontrib><creatorcontrib>Gomes, Nicoly Farias</creatorcontrib><creatorcontrib>da Silva, Marcos Vinícius</creatorcontrib><creatorcontrib>Jardim, Alexandre Maniçoba da Rosa Ferraz</creatorcontrib><title>Green roofs are effective in cooling and mitigating urban heat islands to improve human thermal comfort</title><title>Modeling earth systems and environment</title><addtitle>Model. Earth Syst. Environ</addtitle><description>The present work was carried out in the city of Recife, Pernambuco State, Brazil, one of the largest coastal cities in Northeast Brazil (NEB). The thermal behavior of a roof slab was verified before and after the installation of a green roof through thermal images, as well as the characterization of the spatial variability of the temperature of its internal surface applying geostatistical interpolation models, with emphasis on the characterization of the environmental thermal comfort. From the temperature matrices extracted from the captured thermal images, statistical and geostatistical analysis was performed. The Human Comfort Index (HCI) was calculated for the indoor environment. The results demonstrate that the adoption of the green roof significantly reduced the slab inner surface temperature, provided by the vegetation presence. The model that best characterized the effects of the green roof presence on the slab was the exponential, with a strong degree of spatial dependence (DSD < 25%) and significant fit (R2 > 0.99). The characterization of the thermal variability of the indoor environment allowed identifying an average reduction in the HCI of 5.88 °C after the green roof installation, keeping it within the comfort zone in the range of 22.68 to 24.46 °C. Infrared thermography associated with geostatistical techniques proved to be effective in mapping and characterizing the slab temperature under green roof coverage, contributing to sustainable urban planning and the formulation of public policies to mitigate the effects of urban heat islands.</description><subject>Chemistry and Earth Sciences</subject><subject>Cities</subject><subject>Computer Science</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Earth System Sciences</subject><subject>Ecosystems</subject><subject>Environment</subject><subject>Geostatistics</subject><subject>Green buildings</subject><subject>Green roofs</subject><subject>Human performance</subject><subject>Indoor environments</subject><subject>Infrared imaging</subject><subject>Interpolation</subject><subject>Islands</subject><subject>Math. Appl. in Environmental Science</subject><subject>Mathematical Applications in the Physical Sciences</subject><subject>Original Article</subject><subject>Physics</subject><subject>Public policy</subject><subject>Spatial variations</subject><subject>Statistics for Engineering</subject><subject>Surface temperature</subject><subject>Thermal comfort</subject><subject>Thermal imaging</subject><subject>Thermodynamic properties</subject><subject>Thermography</subject><subject>Urban heat islands</subject><subject>Urban planning</subject><issn>2363-6203</issn><issn>2363-6211</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9UEtLxDAQLqLgsu4f8BTwXJ0kNWmPsugqCF70HKZp0s2ybdYkFfz3Zq3ozcs8-B4zfEVxSeGaAsibWEENdQmMl0BlletJsWBc8FIwSk9_Z-DnxSrGHQBQwYRomkXRb4IxIwne20gwGGKsNTq5D0PcSLT3ezf2BMeODC65HtNxnUKLI9kaTMTFfQYjSZ644RB81m2nIaNpa8KA-2wxWB_SRXFmcR_N6qcvi7eH-9f1Y_n8snla3z2XmtMmldyibtHUCI1uqRTWNLZiVFjsug5l1WmNWlSooW0qy2WFXLbY1bSlqI1s-bK4mn3zL--TiUnt_BTGfFKxWsJtDQ2jmcVmlg4-xmCsOgQ3YPhUFNQxUzVnqnKm6jtTBVnEZ1HM5LE34c_6H9UXG8F8TA</recordid><startdate>20231101</startdate><enddate>20231101</enddate><creator>Santana, Taize Calvacante</creator><creator>Guiselini, Cristiane</creator><creator>Montenegro, Abelardo Antônio de Assunção</creator><creator>Pandorfi, Héliton</creator><creator>da Silva, Rodes Angelo Batista</creator><creator>da Silva e Silva, Renan</creator><creator>Batista, Pedro Henrique Dias</creator><creator>Cavalcanti, Sávio Duarte Lopes</creator><creator>Gomes, Nicoly Farias</creator><creator>da Silva, Marcos Vinícius</creator><creator>Jardim, Alexandre Maniçoba da Rosa Ferraz</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TN</scope><scope>7UA</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>L.G</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><orcidid>https://orcid.org/0000-0002-4694-1581</orcidid></search><sort><creationdate>20231101</creationdate><title>Green roofs are effective in cooling and mitigating urban heat islands to improve human thermal comfort</title><author>Santana, Taize Calvacante ; Guiselini, Cristiane ; Montenegro, Abelardo Antônio de Assunção ; Pandorfi, Héliton ; da Silva, Rodes Angelo Batista ; da Silva e Silva, Renan ; Batista, Pedro Henrique Dias ; Cavalcanti, Sávio Duarte Lopes ; Gomes, Nicoly Farias ; da Silva, Marcos Vinícius ; Jardim, Alexandre Maniçoba da Rosa Ferraz</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-3facbae8a09cb176fe9f4216faddda74dccac64ac0b94f374a37bad81b1ace7b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Chemistry and Earth Sciences</topic><topic>Cities</topic><topic>Computer Science</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Earth System Sciences</topic><topic>Ecosystems</topic><topic>Environment</topic><topic>Geostatistics</topic><topic>Green buildings</topic><topic>Green roofs</topic><topic>Human performance</topic><topic>Indoor environments</topic><topic>Infrared imaging</topic><topic>Interpolation</topic><topic>Islands</topic><topic>Math. Appl. in Environmental Science</topic><topic>Mathematical Applications in the Physical Sciences</topic><topic>Original Article</topic><topic>Physics</topic><topic>Public policy</topic><topic>Spatial variations</topic><topic>Statistics for Engineering</topic><topic>Surface temperature</topic><topic>Thermal comfort</topic><topic>Thermal imaging</topic><topic>Thermodynamic properties</topic><topic>Thermography</topic><topic>Urban heat islands</topic><topic>Urban planning</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Santana, Taize Calvacante</creatorcontrib><creatorcontrib>Guiselini, Cristiane</creatorcontrib><creatorcontrib>Montenegro, Abelardo Antônio de Assunção</creatorcontrib><creatorcontrib>Pandorfi, Héliton</creatorcontrib><creatorcontrib>da Silva, Rodes Angelo Batista</creatorcontrib><creatorcontrib>da Silva e Silva, Renan</creatorcontrib><creatorcontrib>Batista, Pedro Henrique Dias</creatorcontrib><creatorcontrib>Cavalcanti, Sávio Duarte Lopes</creatorcontrib><creatorcontrib>Gomes, Nicoly Farias</creatorcontrib><creatorcontrib>da Silva, Marcos Vinícius</creatorcontrib><creatorcontrib>Jardim, Alexandre Maniçoba da Rosa Ferraz</creatorcontrib><collection>CrossRef</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</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><jtitle>Modeling earth systems and environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Santana, Taize Calvacante</au><au>Guiselini, Cristiane</au><au>Montenegro, Abelardo Antônio de Assunção</au><au>Pandorfi, Héliton</au><au>da Silva, Rodes Angelo Batista</au><au>da Silva e Silva, Renan</au><au>Batista, Pedro Henrique Dias</au><au>Cavalcanti, Sávio Duarte Lopes</au><au>Gomes, Nicoly Farias</au><au>da Silva, Marcos Vinícius</au><au>Jardim, Alexandre Maniçoba da Rosa Ferraz</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Green roofs are effective in cooling and mitigating urban heat islands to improve human thermal comfort</atitle><jtitle>Modeling earth systems and environment</jtitle><stitle>Model. Earth Syst. Environ</stitle><date>2023-11-01</date><risdate>2023</risdate><volume>9</volume><issue>4</issue><spage>3985</spage><epage>3998</epage><pages>3985-3998</pages><issn>2363-6203</issn><eissn>2363-6211</eissn><abstract>The present work was carried out in the city of Recife, Pernambuco State, Brazil, one of the largest coastal cities in Northeast Brazil (NEB). The thermal behavior of a roof slab was verified before and after the installation of a green roof through thermal images, as well as the characterization of the spatial variability of the temperature of its internal surface applying geostatistical interpolation models, with emphasis on the characterization of the environmental thermal comfort. From the temperature matrices extracted from the captured thermal images, statistical and geostatistical analysis was performed. The Human Comfort Index (HCI) was calculated for the indoor environment. The results demonstrate that the adoption of the green roof significantly reduced the slab inner surface temperature, provided by the vegetation presence. The model that best characterized the effects of the green roof presence on the slab was the exponential, with a strong degree of spatial dependence (DSD < 25%) and significant fit (R2 > 0.99). The characterization of the thermal variability of the indoor environment allowed identifying an average reduction in the HCI of 5.88 °C after the green roof installation, keeping it within the comfort zone in the range of 22.68 to 24.46 °C. Infrared thermography associated with geostatistical techniques proved to be effective in mapping and characterizing the slab temperature under green roof coverage, contributing to sustainable urban planning and the formulation of public policies to mitigate the effects of urban heat islands.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s40808-023-01743-0</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0002-4694-1581</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2363-6203 |
| ispartof | Modeling earth systems and environment, 2023-11, Vol.9 (4), p.3985-3998 |
| issn | 2363-6203 2363-6211 |
| language | eng |
| recordid | cdi_proquest_journals_2870580921 |
| source | Springer Nature |
| subjects | Chemistry and Earth Sciences Cities Computer Science Earth and Environmental Science Earth Sciences Earth System Sciences Ecosystems Environment Geostatistics Green buildings Green roofs Human performance Indoor environments Infrared imaging Interpolation Islands Math. Appl. in Environmental Science Mathematical Applications in the Physical Sciences Original Article Physics Public policy Spatial variations Statistics for Engineering Surface temperature Thermal comfort Thermal imaging Thermodynamic properties Thermography Urban heat islands Urban planning |
| title | Green roofs are effective in cooling and mitigating urban heat islands to improve human thermal comfort |
| url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T03%3A19%3A40IST&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=Green%20roofs%20are%20effective%20in%20cooling%20and%20mitigating%20urban%20heat%20islands%20to%20improve%20human%20thermal%20comfort&rft.jtitle=Modeling%20earth%20systems%20and%20environment&rft.au=Santana,%20Taize%20Calvacante&rft.date=2023-11-01&rft.volume=9&rft.issue=4&rft.spage=3985&rft.epage=3998&rft.pages=3985-3998&rft.issn=2363-6203&rft.eissn=2363-6211&rft_id=info:doi/10.1007/s40808-023-01743-0&rft_dat=%3Cproquest_cross%3E2870580921%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c319t-3facbae8a09cb176fe9f4216faddda74dccac64ac0b94f374a37bad81b1ace7b3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2870580921&rft_id=info:pmid/&rfr_iscdi=true |