Pubmed:
Investigation of the relationship between bioclimatic comfort and land use by using GIS and RS techniques in Trabzon.

dc.contributor.authorZeren Cetin, Ilknur
dc.contributor.authorSevik, Hakan
dc.date.accessioned2023-04-07T00:43:46Z
dc.date.available2023-04-07T00:43:46Z
dc.date.issued2020-01-02T00:00:00Z
dc.description.abstractThe aim of this study is to investigate the relationship between bioclimatic comfort and land use in Trabzon by using geographical information systems and remote sensing technologies. We aimed to evaluate the relationship between the bioclimatic conditions of the years 1985, 1994, 2005, and 2018 with the use of land in the same years in the province of Trabzon in seasonal and annual periods. Physiological equivalent temperature (PET) index, which takes into consideration the physiological characteristics of humans, was used when determining bioclimatic comfort zones. The meteorological parameters used in the calculation of this index are as follows: daily average temperature values reduced to sea level, daily average relative humidity, and wind speed. The inverse distance weighting (IDW) method was preferred in the calculation of the spatial distribution of the obtained values at sea level. Using DEM data, height-dependent PET values were obtained and bioclimatic comfort maps were generated. According to the years of the bioclimatic comfort maps produced, land use maps were created by using CORINE land cover data. Then, the relationship between bioclimatic comfort zones and land use was examined.
dc.identifier.doi10.1007/s10661-019-8029-4
dc.identifier.issn1573-2959
dc.identifier.pubmed31894417
dc.identifier.urihttps://hdl.handle.net/20.500.12597/3467
dc.language.isoen
dc.relation.ispartofEnvironmental monitoring and assessment
dc.subjectBioclimatic comfort
dc.subjectGeographic information systems
dc.subjectLand use change
dc.subjectPhysiological equivalent temperature (PET)
dc.subjectRemote sensing
dc.titleInvestigation of the relationship between bioclimatic comfort and land use by using GIS and RS techniques in Trabzon.
dc.typeJournal Article
dspace.entity.typePubmed
oaire.citation.issue2
oaire.citation.volume192
relation.isPublicationOfPubmedefd02b83-96b3-40b7-aa23-d015c06e2224
relation.isPublicationOfPubmed.latestForDiscoveryefd02b83-96b3-40b7-aa23-d015c06e2224

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