Comparative study of spatiotemporal variation in the urban heat island core in coastal and inland basin cities

Using satellite data, it is possible to precisely observe the micro-scale structure of the surface urban heat island (SUHI) and its change over time. A new approach for clustering complex heat islands patterns was proposed using a combination of the operational method and the Jenks natural breaks me...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Air quality, atmosphere and health atmosphere and health, 2022-08, Vol.15 (8), p.1439-1451
Hauptverfasser: Moon, Ji-Hun, Park, Soon-Young, Lee, Soon-Hwan
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 1451
container_issue 8
container_start_page 1439
container_title Air quality, atmosphere and health
container_volume 15
creator Moon, Ji-Hun
Park, Soon-Young
Lee, Soon-Hwan
description Using satellite data, it is possible to precisely observe the micro-scale structure of the surface urban heat island (SUHI) and its change over time. A new approach for clustering complex heat islands patterns was proposed using a combination of the operational method and the Jenks natural breaks method. Through this, we defined the spatial range of heat island and the core with the higher temperature in it and also applied for Busan, a coastal city, and Daegu, an inland basin city in the Korean peninsula. SUHI existed in one of the following three types: single-core heat island with one core, multi-core heat island with two or more cores, and acentric heat island (AHI) without a core. Busan and Daegu had different spatiotemporal SUHI variations. Variation of the SUHI pattern in Busan was markedly different according to seasonal changes, and in Daegu, the difference between day and night was more pronounced than seasonal changes. In Busan, SUHIs bordered by mountains in the inner-city area tended to move closer to the sea in winter. Several SUHIs formed in the shape of basin during the daytime were merged into one large heat island in the downtown of the city at nighttime in Daegu. These spatiotemporal changes of SUHI were also consistent with the variation of near-surface temperature (NST). In addition, the study case had a high correlation with the distribution and intensity of SUHI averaged over 5 years. Although there are several cores in SUHIs did not appear in the 5-year average data, which was associated with its inter-annual variation, the distribution of SUHIs was agreed well with the 5-year average NST pattern.
doi_str_mv 10.1007/s11869-022-01173-4
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2694703566</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2694703566</sourcerecordid><originalsourceid>FETCH-LOGICAL-c319t-790c69fd0f97bff392f61ae0b70ccb1b2fd01cec110d2a09c10d2234fe756a363</originalsourceid><addsrcrecordid>eNp9UMtKAzEUDaJgrf6Aq4Dr0ZtkmmmWUnxBwY2uQyaT2JQ2GZNMoX9vxhHduTqH87gXDkLXBG4JQHOXCFlyUQGlFRDSsKo-QTOyLEQwyk9_OVmeo4uUtgAcauAz5Fdh36uosjsYnPLQHXGwOPVFCNns-xDVDh9UdKPgsfM4bwweYqs83hiVsUs75TusQzSjq4NKuVRGzflvq1VpNFx2Jl2iM6t2yVz94By9Pz68rZ6r9evTy-p-XWlGRK4aAZoL24EVTWstE9Ryogy0DWjdkpYWi2ijCYGOKhB6RMpqa5oFV4yzObqZ7vYxfA4mZbkNQ_TlpaRc1A2wBR9TdErpGFKKxso-ur2KR0lAjrvKaVdZdpXfu8q6lNhUSiXsP0z8O_1P6wtYKXzJ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2694703566</pqid></control><display><type>article</type><title>Comparative study of spatiotemporal variation in the urban heat island core in coastal and inland basin cities</title><source>Springer Nature - Complete Springer Journals</source><creator>Moon, Ji-Hun ; Park, Soon-Young ; Lee, Soon-Hwan</creator><creatorcontrib>Moon, Ji-Hun ; Park, Soon-Young ; Lee, Soon-Hwan</creatorcontrib><description>Using satellite data, it is possible to precisely observe the micro-scale structure of the surface urban heat island (SUHI) and its change over time. A new approach for clustering complex heat islands patterns was proposed using a combination of the operational method and the Jenks natural breaks method. Through this, we defined the spatial range of heat island and the core with the higher temperature in it and also applied for Busan, a coastal city, and Daegu, an inland basin city in the Korean peninsula. SUHI existed in one of the following three types: single-core heat island with one core, multi-core heat island with two or more cores, and acentric heat island (AHI) without a core. Busan and Daegu had different spatiotemporal SUHI variations. Variation of the SUHI pattern in Busan was markedly different according to seasonal changes, and in Daegu, the difference between day and night was more pronounced than seasonal changes. In Busan, SUHIs bordered by mountains in the inner-city area tended to move closer to the sea in winter. Several SUHIs formed in the shape of basin during the daytime were merged into one large heat island in the downtown of the city at nighttime in Daegu. These spatiotemporal changes of SUHI were also consistent with the variation of near-surface temperature (NST). In addition, the study case had a high correlation with the distribution and intensity of SUHI averaged over 5 years. Although there are several cores in SUHIs did not appear in the 5-year average data, which was associated with its inter-annual variation, the distribution of SUHIs was agreed well with the 5-year average NST pattern.</description><identifier>ISSN: 1873-9318</identifier><identifier>EISSN: 1873-9326</identifier><identifier>DOI: 10.1007/s11869-022-01173-4</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Annual variations ; Atmospheric Protection/Air Quality Control/Air Pollution ; Clustering ; Comparative studies ; Cores ; Earth and Environmental Science ; Environment ; Environmental Health ; Health Promotion and Disease Prevention ; Heat ; High temperature ; Interannual variations ; Mountains ; Satellite data ; Seasonal variations ; Surface temperature ; Thermal pollution ; Urban heat islands</subject><ispartof>Air quality, atmosphere and health, 2022-08, Vol.15 (8), p.1439-1451</ispartof><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2022</rights><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2022.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-790c69fd0f97bff392f61ae0b70ccb1b2fd01cec110d2a09c10d2234fe756a363</citedby><cites>FETCH-LOGICAL-c319t-790c69fd0f97bff392f61ae0b70ccb1b2fd01cec110d2a09c10d2234fe756a363</cites><orcidid>0000-0002-7902-830X</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/s11869-022-01173-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11869-022-01173-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Moon, Ji-Hun</creatorcontrib><creatorcontrib>Park, Soon-Young</creatorcontrib><creatorcontrib>Lee, Soon-Hwan</creatorcontrib><title>Comparative study of spatiotemporal variation in the urban heat island core in coastal and inland basin cities</title><title>Air quality, atmosphere and health</title><addtitle>Air Qual Atmos Health</addtitle><description>Using satellite data, it is possible to precisely observe the micro-scale structure of the surface urban heat island (SUHI) and its change over time. A new approach for clustering complex heat islands patterns was proposed using a combination of the operational method and the Jenks natural breaks method. Through this, we defined the spatial range of heat island and the core with the higher temperature in it and also applied for Busan, a coastal city, and Daegu, an inland basin city in the Korean peninsula. SUHI existed in one of the following three types: single-core heat island with one core, multi-core heat island with two or more cores, and acentric heat island (AHI) without a core. Busan and Daegu had different spatiotemporal SUHI variations. Variation of the SUHI pattern in Busan was markedly different according to seasonal changes, and in Daegu, the difference between day and night was more pronounced than seasonal changes. In Busan, SUHIs bordered by mountains in the inner-city area tended to move closer to the sea in winter. Several SUHIs formed in the shape of basin during the daytime were merged into one large heat island in the downtown of the city at nighttime in Daegu. These spatiotemporal changes of SUHI were also consistent with the variation of near-surface temperature (NST). In addition, the study case had a high correlation with the distribution and intensity of SUHI averaged over 5 years. Although there are several cores in SUHIs did not appear in the 5-year average data, which was associated with its inter-annual variation, the distribution of SUHIs was agreed well with the 5-year average NST pattern.</description><subject>Annual variations</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Clustering</subject><subject>Comparative studies</subject><subject>Cores</subject><subject>Earth and Environmental Science</subject><subject>Environment</subject><subject>Environmental Health</subject><subject>Health Promotion and Disease Prevention</subject><subject>Heat</subject><subject>High temperature</subject><subject>Interannual variations</subject><subject>Mountains</subject><subject>Satellite data</subject><subject>Seasonal variations</subject><subject>Surface temperature</subject><subject>Thermal pollution</subject><subject>Urban heat islands</subject><issn>1873-9318</issn><issn>1873-9326</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9UMtKAzEUDaJgrf6Aq4Dr0ZtkmmmWUnxBwY2uQyaT2JQ2GZNMoX9vxhHduTqH87gXDkLXBG4JQHOXCFlyUQGlFRDSsKo-QTOyLEQwyk9_OVmeo4uUtgAcauAz5Fdh36uosjsYnPLQHXGwOPVFCNns-xDVDh9UdKPgsfM4bwweYqs83hiVsUs75TusQzSjq4NKuVRGzflvq1VpNFx2Jl2iM6t2yVz94By9Pz68rZ6r9evTy-p-XWlGRK4aAZoL24EVTWstE9Ryogy0DWjdkpYWi2ijCYGOKhB6RMpqa5oFV4yzObqZ7vYxfA4mZbkNQ_TlpaRc1A2wBR9TdErpGFKKxso-ur2KR0lAjrvKaVdZdpXfu8q6lNhUSiXsP0z8O_1P6wtYKXzJ</recordid><startdate>20220801</startdate><enddate>20220801</enddate><creator>Moon, Ji-Hun</creator><creator>Park, Soon-Young</creator><creator>Lee, Soon-Hwan</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7T2</scope><scope>7TG</scope><scope>7TV</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88I</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</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>KL.</scope><scope>L.-</scope><scope>M0C</scope><scope>M0S</scope><scope>M2P</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0002-7902-830X</orcidid></search><sort><creationdate>20220801</creationdate><title>Comparative study of spatiotemporal variation in the urban heat island core in coastal and inland basin cities</title><author>Moon, Ji-Hun ; Park, Soon-Young ; Lee, Soon-Hwan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-790c69fd0f97bff392f61ae0b70ccb1b2fd01cec110d2a09c10d2234fe756a363</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Annual variations</topic><topic>Atmospheric Protection/Air Quality Control/Air Pollution</topic><topic>Clustering</topic><topic>Comparative studies</topic><topic>Cores</topic><topic>Earth and Environmental Science</topic><topic>Environment</topic><topic>Environmental Health</topic><topic>Health Promotion and Disease Prevention</topic><topic>Heat</topic><topic>High temperature</topic><topic>Interannual variations</topic><topic>Mountains</topic><topic>Satellite data</topic><topic>Seasonal variations</topic><topic>Surface temperature</topic><topic>Thermal pollution</topic><topic>Urban heat islands</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Moon, Ji-Hun</creatorcontrib><creatorcontrib>Park, Soon-Young</creatorcontrib><creatorcontrib>Lee, Soon-Hwan</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Pollution Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Public Health 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)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest Business Premium Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Earth, Atmospheric &amp; Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</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 &amp; Medical Complete (Alumni)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Global</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>ProQuest Science Journals</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric &amp; Aquatic Science Database</collection><collection>One Business (ProQuest)</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><jtitle>Air quality, atmosphere and health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Moon, Ji-Hun</au><au>Park, Soon-Young</au><au>Lee, Soon-Hwan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparative study of spatiotemporal variation in the urban heat island core in coastal and inland basin cities</atitle><jtitle>Air quality, atmosphere and health</jtitle><stitle>Air Qual Atmos Health</stitle><date>2022-08-01</date><risdate>2022</risdate><volume>15</volume><issue>8</issue><spage>1439</spage><epage>1451</epage><pages>1439-1451</pages><issn>1873-9318</issn><eissn>1873-9326</eissn><abstract>Using satellite data, it is possible to precisely observe the micro-scale structure of the surface urban heat island (SUHI) and its change over time. A new approach for clustering complex heat islands patterns was proposed using a combination of the operational method and the Jenks natural breaks method. Through this, we defined the spatial range of heat island and the core with the higher temperature in it and also applied for Busan, a coastal city, and Daegu, an inland basin city in the Korean peninsula. SUHI existed in one of the following three types: single-core heat island with one core, multi-core heat island with two or more cores, and acentric heat island (AHI) without a core. Busan and Daegu had different spatiotemporal SUHI variations. Variation of the SUHI pattern in Busan was markedly different according to seasonal changes, and in Daegu, the difference between day and night was more pronounced than seasonal changes. In Busan, SUHIs bordered by mountains in the inner-city area tended to move closer to the sea in winter. Several SUHIs formed in the shape of basin during the daytime were merged into one large heat island in the downtown of the city at nighttime in Daegu. These spatiotemporal changes of SUHI were also consistent with the variation of near-surface temperature (NST). In addition, the study case had a high correlation with the distribution and intensity of SUHI averaged over 5 years. Although there are several cores in SUHIs did not appear in the 5-year average data, which was associated with its inter-annual variation, the distribution of SUHIs was agreed well with the 5-year average NST pattern.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s11869-022-01173-4</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-7902-830X</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 1873-9318
ispartof Air quality, atmosphere and health, 2022-08, Vol.15 (8), p.1439-1451
issn 1873-9318
1873-9326
language eng
recordid cdi_proquest_journals_2694703566
source Springer Nature - Complete Springer Journals
subjects Annual variations
Atmospheric Protection/Air Quality Control/Air Pollution
Clustering
Comparative studies
Cores
Earth and Environmental Science
Environment
Environmental Health
Health Promotion and Disease Prevention
Heat
High temperature
Interannual variations
Mountains
Satellite data
Seasonal variations
Surface temperature
Thermal pollution
Urban heat islands
title Comparative study of spatiotemporal variation in the urban heat island core in coastal and inland basin cities
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-11T17%3A03%3A12IST&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=Comparative%20study%20of%20spatiotemporal%20variation%20in%20the%20urban%20heat%20island%20core%20in%20coastal%20and%20inland%20basin%20cities&rft.jtitle=Air%20quality,%20atmosphere%20and%20health&rft.au=Moon,%20Ji-Hun&rft.date=2022-08-01&rft.volume=15&rft.issue=8&rft.spage=1439&rft.epage=1451&rft.pages=1439-1451&rft.issn=1873-9318&rft.eissn=1873-9326&rft_id=info:doi/10.1007/s11869-022-01173-4&rft_dat=%3Cproquest_cross%3E2694703566%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=2694703566&rft_id=info:pmid/&rfr_iscdi=true