Yayın:
The effect of urban planning on urban formations determining bioclimatic comfort area’s effect using satellitia imagines on air quality: a case study of Bursa city

dc.contributor.authorCetin, Mehmet
dc.date.accessioned2026-01-04T13:24:21Z
dc.date.issued2019-08-31
dc.description.abstractBiocomfort is limit values ​​in which people feel comfortable in environmental conditions such as wind, humidity, temperature, and precipitation. Bioclimatic comfort areas are used in urban planning, rural planning, tourism purposes, urban area’s residential area, and landscape architecture. Bioclimatic comfort maps were made according to PET (Physiological Equivalent Temperature) index from meteorological station; also, data were obtained from satellite images to determine the bioclimatic comfort structure of the urban area in ​​Bursa. For this data, average wind, temperature, and relative humidity values ​​were converted to Geographic Information Systems (GIS) using ArcView GIS ™ 10 software and create thermal perception maps. The study integrates remote sensing (RS) and GIS to analyze land cover and use change in Bursa defining bioclimatic comfort. Utilizing Landsat (7 ETM and 8 OLITIRS) satellite data and Digital Elevation Model (DEM), the change map was analyzed and produced in 2002–2016. The objective was to understand the suitability of Change Vector Analysis (CVA) and elevation parameters in the region. The results indicate the appropriateness of change in vector analysis. With the help of a bioclimatic comfort conditions, map taking into account the temperature, humidity, and rainfall data and bioclimatic comfort zone for the 12-year period perceived for 30 years. The result maps of the study may serve as the basis for sustainable urban planning studies for Bursa.
dc.description.urihttps://doi.org/10.1007/s11869-019-00742-4
dc.description.urihttps://dx.doi.org/10.1007/s11869-019-00742-4
dc.identifier.doi10.1007/s11869-019-00742-4
dc.identifier.eissn1873-9326
dc.identifier.endpage1249
dc.identifier.issn1873-9318
dc.identifier.openairedoi_dedup___::84e9ad99b989598d4a13bc5a5f2a8aa8
dc.identifier.orcid0000-0002-8992-0289
dc.identifier.scopus2-s2.0-85072128623
dc.identifier.startpage1237
dc.identifier.urihttps://hdl.handle.net/20.500.12597/37470
dc.identifier.volume12
dc.identifier.wos000508374200011
dc.language.isoeng
dc.publisherSpringer Science and Business Media LLC
dc.relation.ispartofAir Quality, Atmosphere & Health
dc.rightsCLOSED
dc.subject.sdg13. Climate action
dc.subject.sdg11. Sustainability
dc.subject.sdg15. Life on land
dc.subject.sdg12. Responsible consumption
dc.titleThe effect of urban planning on urban formations determining bioclimatic comfort area’s effect using satellitia imagines on air quality: a case study of Bursa city
dc.typeArticle
dspace.entity.typePublication
local.api.response{"authors":[{"fullName":"Mehmet Cetin","name":"Mehmet","surname":"Cetin","rank":1,"pid":{"id":{"scheme":"orcid","value":"0000-0002-8992-0289"},"provenance":null}}],"openAccessColor":null,"publiclyFunded":false,"type":"publication","language":{"code":"eng","label":"English"},"countries":null,"subjects":[{"subject":{"scheme":"SDG","value":"13. Climate action"},"provenance":null},{"subject":{"scheme":"SDG","value":"11. Sustainability"},"provenance":null},{"subject":{"scheme":"SDG","value":"15. Life on land"},"provenance":null},{"subject":{"scheme":"FOS","value":"01 natural sciences"},"provenance":null},{"subject":{"scheme":"FOS","value":"0105 earth and related environmental sciences"},"provenance":null},{"subject":{"scheme":"SDG","value":"12. Responsible consumption"},"provenance":null}],"mainTitle":"The effect of urban planning on urban formations determining bioclimatic comfort area’s effect using satellitia imagines on air quality: a case study of Bursa city","subTitle":null,"descriptions":["Biocomfort is limit values ​​in which people feel comfortable in environmental conditions such as wind, humidity, temperature, and precipitation. Bioclimatic comfort areas are used in urban planning, rural planning, tourism purposes, urban area’s residential area, and landscape architecture. Bioclimatic comfort maps were made according to PET (Physiological Equivalent Temperature) index from meteorological station; also, data were obtained from satellite images to determine the bioclimatic comfort structure of the urban area in ​​Bursa. For this data, average wind, temperature, and relative humidity values ​​were converted to Geographic Information Systems (GIS) using ArcView GIS ™ 10 software and create thermal perception maps. The study integrates remote sensing (RS) and GIS to analyze land cover and use change in Bursa defining bioclimatic comfort. Utilizing Landsat (7 ETM and 8 OLITIRS) satellite data and Digital Elevation Model (DEM), the change map was analyzed and produced in 2002–2016. The objective was to understand the suitability of Change Vector Analysis (CVA) and elevation parameters in the region. The results indicate the appropriateness of change in vector analysis. With the help of a bioclimatic comfort conditions, map taking into account the temperature, humidity, and rainfall data and bioclimatic comfort zone for the 12-year period perceived for 30 years. The result maps of the study may serve as the basis for sustainable urban planning studies for Bursa."],"publicationDate":"2019-08-31","publisher":"Springer Science and Business Media LLC","embargoEndDate":null,"sources":["Crossref"],"formats":null,"contributors":null,"coverages":null,"bestAccessRight":{"code":"c_14cb","label":"CLOSED","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"container":{"name":"Air Quality, Atmosphere & Health","issnPrinted":"1873-9318","issnOnline":"1873-9326","issnLinking":null,"ep":"1249","iss":null,"sp":"1237","vol":"12","edition":null,"conferencePlace":null,"conferenceDate":null},"documentationUrls":null,"codeRepositoryUrl":null,"programmingLanguage":null,"contactPeople":null,"contactGroups":null,"tools":null,"size":null,"version":null,"geoLocations":null,"id":"doi_dedup___::84e9ad99b989598d4a13bc5a5f2a8aa8","originalIds":["742","10.1007/s11869-019-00742-4","50|doiboost____|84e9ad99b989598d4a13bc5a5f2a8aa8","2970135849"],"pids":[{"scheme":"doi","value":"10.1007/s11869-019-00742-4"}],"dateOfCollection":null,"lastUpdateTimeStamp":null,"indicators":{"citationImpact":{"citationCount":220,"influence":1.11694884e-8,"popularity":1.6929427e-7,"impulse":99,"citationClass":"C3","influenceClass":"C4","impulseClass":"C3","popularityClass":"C2"}},"instances":[{"pids":[{"scheme":"doi","value":"10.1007/s11869-019-00742-4"}],"license":"Springer TDM","type":"Article","urls":["https://doi.org/10.1007/s11869-019-00742-4"],"publicationDate":"2019-08-31","refereed":"peerReviewed"},{"alternateIdentifiers":[{"scheme":"mag_id","value":"2970135849"},{"scheme":"doi","value":"10.1007/s11869-019-00742-4"}],"type":"Article","urls":["https://dx.doi.org/10.1007/s11869-019-00742-4"],"refereed":"nonPeerReviewed"}],"isGreen":false,"isInDiamondJournal":false}
local.import.sourceOpenAire
local.indexed.atWOS
local.indexed.atScopus

Dosyalar

Koleksiyonlar