MULTIPLE LINEAR REGRESSION AND INVERSE DISTANCE WEIGHT (IDW) INTERPOLATION FOR SPATIAL ANALYSIS OF PM10 AND SO2 IN BURSA CITY, TURKEY

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dc.contributor.authorDursun, Sukru
dc.contributor.authorAlqaysi, Nahida Hameed Hamza
dc.date.accessioned2020-03-26T19:54:44Z
dc.date.available2020-03-26T19:54:44Z
dc.date.issued2018
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractAir pollution is one of the most significant environmental problems in Bursa city. The aim of this paper is to investigate the spatial distribution of air pollutants such as sulfur dioxide (SO2) and particulate matter (PM10) by using IDW interpolation method and influence of meteorological conditions on the levels of air pollution based on seasonality data collected from online website during the period summer 2014 to winter 2017. Then comparing the results with Turkish Air Pollution standards, where PM10 concentration levels at most stations in two seasons are above the permissible limit as 48 mu g/m(3), while SO2 concentration is lower than the Turkish standards (20 mu g/m(3)) in most stations. Lastly, the main relationships were used to obtain a multiple linear regression equation linking PM10 and SO2 concentrations in summer and winter with meteorological parameters. Climatic variables also influenced as negative and positive on the PM10 and SO2 concentrations, differ from season to another as shown in the Table 1. Where best correlation between the pollutant concentration and meteorological parameters happened in the summer 2015 for PM10 (R-2 = 0.43) and in summer 2014 for SO2 (R-2 = 0.48).en_US
dc.description.sponsorshipSelcuk University BAPSelcuk University [S.U. BAP-16201090]en_US
dc.description.sponsorshipWe would like to thank Environment and Urban ministry for supporting data and Selcuk University BAP for supporting Ph.D. Thesis project (S.U. BAP-16201090).en_US
dc.identifier.endpage220en_US
dc.identifier.issn2224-4980en_US
dc.identifier.issue2en_US
dc.identifier.pmid#YOKen_US
dc.identifier.startpage213en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/36788
dc.identifier.volume8en_US
dc.identifier.wosWOS:000464611500004en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherHEALTH & ENVIRONMENT ASSOCen_US
dc.relation.ispartofINTERNATIONAL JOURNAL OF ECOSYSTEMS AND ECOLOGY SCIENCE-IJEESen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectAir Pollutionen_US
dc.subjectBursaen_US
dc.subjectparticulate matter PM10en_US
dc.subjectsulfur dioxide SO2en_US
dc.subjectInverse Distance Weight IDWen_US
dc.subjectMultiple linear Regressionen_US
dc.titleMULTIPLE LINEAR REGRESSION AND INVERSE DISTANCE WEIGHT (IDW) INTERPOLATION FOR SPATIAL ANALYSIS OF PM10 AND SO2 IN BURSA CITY, TURKEYen_US
dc.typeArticleen_US

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