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dc.contributor.authorIcoz, Ebru
dc.contributor.authorMalik, Fasih M.
dc.contributor.authorIcoz, Kutay
dc.date.accessioned2021-12-02T07:16:35Z
dc.date.available2021-12-02T07:16:35Z
dc.date.issued2021en_US
dc.identifier.issn1352-8505
dc.identifier.issn1573-3009
dc.identifier.urihttps //doi.org/10.1016/j.matchemphys.2020.123928
dc.identifier.urihttps://hdl.handle.net/20.500.12573/1061
dc.descriptionAuthors acknowledge TUBITAK 1512 Program (Project No: 2180145) for financial support.en_US
dc.description.abstractAir pollution is one of the global problems of the current era. According to World Health Organization more than 80% of the people living in metropolitan areas breathe air which exceeds the guideline limits. Particulate matter, the mixture of liquid and solid particles having diameters less than 10 mu m, is one of the important pollutants in the air. The main source of the Particulate matter is mostly burning reactions associated with industry, vehicles and homes. Several studies have shown the lethal impact of particulate matter to public health and environment. The rise of particulate matter amount in air has been linked to several health problems such as not only respiratory diseases but also mortality in infants and heart attacks. Currently, bulky stations which are high-cost and have limited spatial resolution are used to monitor the air quality. In this study we developed an alternative particulate matter measurement system which is portable and low-cost (less than 200 USD) and also integrated with cloud computing. The system allows real time distant monitoring of PM particles with high spatial resolution (meter range). The developed sensor system is able to provide air quality data in correlation with the existing stations (R-2 = 0.87). The statistical comparison between the developed system and the reference methods revealed that two systems produced statistically equal results in detecting the variations of the particulate matter.en_US
dc.description.sponsorshipTurkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) 2180145en_US
dc.language.isoengen_US
dc.publisherSPRINGERVAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDSen_US
dc.relation.isversionof10.1007/s10651-021-00494-4en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAir pollutionen_US
dc.subjectCloud computingen_US
dc.subjectHigh spatial resolutionen_US
dc.subjectInternet of thingsen_US
dc.subjectOptical sensingen_US
dc.subjectParticulate matteren_US
dc.subjectPM2en_US
dc.titleHigh spatial resolution IoT based air PM measurement systemen_US
dc.typearticleen_US
dc.contributor.departmentAGÜ, Mühendislik Fakültesi, Elektrik - Elektronik Mühendisliği Bölümüen_US
dc.contributor.authorID0000-0002-0947-6166en_US
dc.contributor.institutionauthorIcoz, Ebru
dc.contributor.institutionauthorMalik, Fasih M.
dc.contributor.institutionauthorIcoz, Kutay
dc.identifier.volumeVolume 28 Issue 4 Page 779-792 Special Issue SIen_US
dc.relation.journalENVIRONMENTAL AND ECOLOGICAL STATISTICSen_US
dc.relation.publicationcategoryMakale - Uluslararası - Editör Denetimli Dergien_US


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