High Spatial Resolution IoT Based Air PM Measurement System

dc.contributor.author Icoz, Ebru
dc.contributor.author Malik, Fasih M.
dc.contributor.author Icoz, Kutay
dc.date.accessioned 2025-09-25T10:48:08Z
dc.date.available 2025-09-25T10:48:08Z
dc.date.issued 2021
dc.description Icoz, Kutay/0000-0002-0947-6166; en_US
dc.description.abstract Air 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.sponsorship TUBITAK 1512 Program [2180145] en_US
dc.description.sponsorship Authors acknowledge TUBITAK 1512 Program (Project No: 2180145) for financial support. en_US
dc.identifier.doi 10.1007/s10651-021-00494-4
dc.identifier.issn 1352-8505
dc.identifier.issn 1573-3009
dc.identifier.scopus 2-s2.0-85104412194
dc.identifier.uri https://doi.org/10.1007/s10651-021-00494-4
dc.identifier.uri https://hdl.handle.net/20.500.12573/3930
dc.language.iso en en_US
dc.publisher Springer en_US
dc.relation.ispartof Environmental and Ecological Statistics en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Air Pollution en_US
dc.subject Cloud Computing en_US
dc.subject High Spatial Resolution en_US
dc.subject Internet of Things en_US
dc.subject Optical Sensing en_US
dc.subject Particulate Matter en_US
dc.subject PM2.5 en_US
dc.subject PM2
dc.subject 5
dc.title High Spatial Resolution IoT Based Air PM Measurement System en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id Icoz, Kutay/0000-0002-0947-6166
gdc.author.id ICOZ, Ebru/0009-0001-2306-4125
gdc.author.scopusid 57222999420
gdc.author.scopusid 57223017915
gdc.author.scopusid 24801985000
gdc.author.wosid Icoz, Kutay/J-2063-2015
gdc.author.wosid Icoz, Kutay/Abi-3903-2020
gdc.bip.impulseclass C5
gdc.bip.influenceclass C5
gdc.bip.popularityclass C5
gdc.coar.access metadata only access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department Abdullah Gül University en_US
gdc.description.departmenttemp [Icoz, Ebru; Icoz, Kutay] Abdullah Gul Univ, Elect & Comp Engn, TR-38080 Kayseri, Turkey; [Malik, Fasih M.] Abdullah Gul Univ, Mech Engn, TR-38080 Kayseri, Turkey; [Icoz, Ebru; Icoz, Kutay] Opsentia R&D, TR-38030 Kayseri, Turkey en_US
gdc.description.endpage 792 en_US
gdc.description.issue 4 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q2
gdc.description.startpage 779 en_US
gdc.description.volume 28 en_US
gdc.description.woscitationindex Science Citation Index Expanded
gdc.description.wosquality Q1
gdc.identifier.openalex W3154852860
gdc.identifier.wos WOS:000639506500001
gdc.index.type WoS
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gdc.oaire.diamondjournal false
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gdc.oaire.influence 2.6938425E-9
gdc.oaire.isgreen true
gdc.oaire.popularity 3.805486E-9
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0101 mathematics
gdc.oaire.sciencefields 01 natural sciences
gdc.oaire.sciencefields 0105 earth and related environmental sciences
gdc.openalex.collaboration National
gdc.openalex.fwci 0.3578
gdc.openalex.normalizedpercentile 0.54
gdc.opencitations.count 3
gdc.plumx.crossrefcites 1
gdc.plumx.mendeley 15
gdc.plumx.scopuscites 6
gdc.scopus.citedcount 6
gdc.virtual.author İçöz, Kutay
gdc.wos.citedcount 3
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