A Land Use Regression Model to Estimate Ambient Concentrations of PM10 and SO2 in Izmit, Turkey

Basit Öğe Kaydı
dc.authoridYUCER, EMRE/0000-0003-0417-9338
dc.contributor.authorYucer, Emre
dc.contributor.authorErener, Arzu
dc.contributor.authorSarp, Gulcan
dc.date.accessioned2024-09-29T15:54:36Z
dc.date.available2024-09-29T15:54:36Z
dc.date.issued2023
dc.departmentKarabük Üniversitesien_US
dc.description.abstractThe goal of this study is to develop a land use regression (LUR) model, for estimating the intraurban variation of PM10 and SO2 in a highly dense industrialized city of Izmit, Kocaeli, Turkey. The method allows for the simultaneous consideration of transportation, demography, topography, traffic patterns, road patterns, and land use characteristics as estimators of pollution variability. In the study, PM10 and SO2 Concentrations were obtained hourly from National Air Quality Monitoring Network. The mean annual pollution parameters of 2019 were used to evaluate the temporal differences of estimator variables. 102 sample points were used in the study. 72 of the sampling points were used to establish the LUR model and 30 of them were used to test the accuracy of the model. In the model results, the R square value between the pollutant concentrations of the independent variables was 0.876 for SO2 and 0.919 for PM10. It has been determined that the distance to the roads, the density of the industrial areas, and the population density are the main variables that affect the PM10 and SO2 concentrations. In addition, it has been revealed that meteorological variables are effective in the concentration of pollutants. R square values between the observed and predicted values in the validation analysis of the model were determined as 0.90 for SO2 and 0.94 for PM10.This study showed that it can make accurate estimations about air pollution in areas with complex topographic factors, variable meteorological conditions, and industrial activities.en_US
dc.identifier.doi10.1007/s12524-023-01704-1
dc.identifier.endpage1341en_US
dc.identifier.issn0255-660X
dc.identifier.issn0974-3006
dc.identifier.issue6en_US
dc.identifier.scopus2-s2.0-85160256238en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage1329en_US
dc.identifier.urihttps://doi.org/10.1007/s12524-023-01704-1
dc.identifier.urihttps://hdl.handle.net/20.500.14619/4181
dc.identifier.volume51en_US
dc.identifier.wosWOS:000993360800001en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofJournal of the Indian Society of Remote Sensingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAir pollutionen_US
dc.subjectLand use regressionen_US
dc.subjectParticulate matteren_US
dc.subjectSpatial parametersen_US
dc.subjectSulfur dioxide cross-validationen_US
dc.titleA Land Use Regression Model to Estimate Ambient Concentrations of PM10 and SO2 in Izmit, Turkeyen_US
dc.typeArticleen_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu