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2021-02-10Zeitschriftenartikel DOI: 10.18452/22655
On the Spatial Patterns of Urban Thermal Conditions Using Indoor and Outdoor Temperatures
dc.contributor.authorAlavipanah, Sadroddin
dc.contributor.authorHaase, Dagmar
dc.contributor.authorMakki, Mohsen
dc.contributor.authorNizamani, Mir Muhammad
dc.contributor.authorQureshi, Salman
dc.date.accessioned2021-03-30T18:44:25Z
dc.date.available2021-03-30T18:44:25Z
dc.date.issued2021-02-10none
dc.date.updated2021-03-02T20:15:53Z
dc.identifier.urihttp://edoc.hu-berlin.de/18452/23260
dc.descriptionThis article was supported by the German Research Foundation (DFG) and the Open Access Publication Fund of Humboldt-Universität zu Berlin.none
dc.description.abstractThe changing climate has introduced new and unique challenges and threats to humans and their environment. Urban dwellers in particular have suffered from increased levels of heat stress, and the situation is predicted to continue to worsen in the future. Attention toward urban climate change adaptation has increased more than ever before, but previous studies have focused on indoor and outdoor temperature patterns separately. The objective of this research is to assess the indoor and outdoor temperature patterns of different urban settlements. Remote sensing data, together with air temperature data collected with temperature data loggers, were used to analyze land surface temperature (outdoor temperature) and air temperature (indoor temperature). A hot and cold spot analysis was performed to identify the statistically significant clusters of high and low temperature data. The results showed a distinct temperature pattern across different residential units. Districts with dense urban settlements show a warmer outdoor temperature than do more sparsely developed districts. Dense urban settlements show cooler indoor temperatures during the day and night, while newly built districts show cooler outdoor temperatures during the warm season. Understanding indoor and outdoor temperature patterns simultaneously could help to better identify districts that are vulnerable to heat stress in each city. Recognizing vulnerable districts could minimize the impact of heat stress on inhabitants.eng
dc.language.isoengnone
dc.publisherHumboldt-Universität zu Berlin
dc.rights(CC BY 4.0) Attribution 4.0 Internationalger
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjecturban ecologyeng
dc.subjecturban ecosystemseng
dc.subjecttemperature data loggereng
dc.subjectspatial analysiseng
dc.subjecthot spot and cold spoteng
dc.subjectmicroclimateeng
dc.subjectGISeng
dc.subjecturban modelingeng
dc.subject.ddc620 Ingenieurwissenschaften und zugeordnete Tätigkeitennone
dc.titleOn the Spatial Patterns of Urban Thermal Conditions Using Indoor and Outdoor Temperaturesnone
dc.typearticle
dc.identifier.urnurn:nbn:de:kobv:11-110-18452/23260-2
dc.identifier.doihttp://dx.doi.org/10.18452/22655
dc.type.versionpublishedVersionnone
local.edoc.pages14none
local.edoc.type-nameZeitschriftenartikel
local.edoc.container-typeperiodical
local.edoc.container-type-nameZeitschrift
dc.description.versionPeer Reviewednone
dc.identifier.eissn2072-4292
dcterms.bibliographicCitation.doi10.3390/rs13040640none
dcterms.bibliographicCitation.journaltitleRemote Sensingnone
dcterms.bibliographicCitation.volume13none
dcterms.bibliographicCitation.issue4none
dcterms.bibliographicCitation.articlenumber640none
dcterms.bibliographicCitation.originalpublishernameMDPInone
dcterms.bibliographicCitation.originalpublisherplaceBaselnone
bua.import.affiliationAlavipanah, Sadroddin; Institute of Geography, Humboldt University of Berlin, Rudower Chaussee 16, 12489 Berlin, Germany, s.alavipanah@hu-berlin.denone
bua.import.affiliationHaase, Dagmar; Institute of Geography, Humboldt University of Berlin, Rudower Chaussee 16, 12489 Berlin, Germany, dagmar.haase@geo.hu-berlin.denone
bua.import.affiliationMakki, Mohsen; Institute of Geography, Humboldt University of Berlin, Rudower Chaussee 16, 12489 Berlin, Germany, makki@hu-berlin.denone
bua.import.affiliationNizamani, Mir Muhammad; Hainan Key Laboratory for Sustainable Utilization of Tropical Bioresources, School of Life and Pharmaceutical Sciences, Hainan University, Haikou 570228, China, mirmuhammadnizamani@hainanu.edu.cnnone
bua.import.affiliationQureshi, Salman; Institute of Geography, Humboldt University of Berlin, Rudower Chaussee 16, 12489 Berlin, Germany, salman.qureshi@geo.hu-berlin.denone
bua.departmentMathematisch-Naturwissenschaftliche Fakultätnone

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