Investigation of total suspended particulate matter dispersion from quarries in Artvin, Turkey, using AERMOD and its relationship with topography

Basit Öğe Kaydı
dc.authoridKazım Onur Demirarslan / 0000-0002-1023-7584en_US
dc.authoridİsmet Yener / 0000-0001-6998-9791en_US
dc.contributor.authorDemirarslan, Kazım Onur
dc.contributor.authorYener, İsmet
dc.date.accessioned2022-12-16T13:48:56Z
dc.date.available2022-12-16T13:48:56Z
dc.date.issued2022
dc.departmentAÇÜ, Mühendislik Fakültesi, Çevre Mühendisliği Bölümüen_US
dc.description.abstractAs the number of quarries, one of the sectors providing raw material to the construction industry, increases daily, their adverse effects on ecosystem health rise, with a particularly negative impact on human health due to the air pollution they create. Air quality monitoring networks throughout the country, which are difficult to set up because of some economic and political issues, are necessary for precise air quality measurements. Therefore, more accurate and special modeling programs are gaining importance. The present study aims (i) to model total suspended particulate matter (TSP) emissions from quarries in Artvin, Turkey, using AERMOD, and (ii) to determine the contribution of topography to that distribution using multilinear regression (MLR) and multilayer perceptron neural network (MLP) models. TSP data from seven quarries in Artvin were used for this purpose. According to the dispersion model results, the hourly maximum TSP values were 9.87 and 75.17 µg/m3. First, Pearson correlation coefficients between TSP and topographic variables were calculated to determine the relations between topography and TSP, and then MLR and MLP models were developed. While 25 to 54% of the variance in TSP was explained by MLR, MLP explained 65 to 87% of that. MLP models with a higher adjusted coefficient of determination (R2adj) and lower root mean square error (RMSE), mean absolute error (MAE), Akaike information criterion (AIC), and Bayesian information criterion (BIC) outperformed MLR. The most influential variables on TSP dispersion were elevation, distance to the source, the rate of forest area, and easting (longitude).
dc.identifier.citationDemirarslan, K. O., & Yener, İ. (2022). Investigation of total suspended particulate matter dispersion from quarries in Artvin, Turkey, using AERMOD and its relationship with topography. Air Quality, Atmosphere & Health, 15(12), 2313–2327. ‌en_US
dc.identifier.doi10.1007/s11869-022-01253-5
dc.identifier.endpage2327en_US
dc.identifier.issue12en_US
dc.identifier.scopusqualityN/A
dc.identifier.startpage2313en_US
dc.identifier.urihttps://doi.org/10.1007/s11869-022-01253-5
dc.identifier.urihttps://hdl.handle.net/11494/4297
dc.identifier.volume15en_US
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorDemirarslan, Kazım Onur
dc.institutionauthorYener, İsmet
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofAir Quality, Atmosphere & Health
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectModelingen_US
dc.subjectMultilayer perceptronen_US
dc.subjectMultilinear regressionen_US
dc.subjectTopographyen_US
dc.subjectTotal suspended particulate matteren_US
dc.titleInvestigation of total suspended particulate matter dispersion from quarries in Artvin, Turkey, using AERMOD and its relationship with topographyen_US
dc.typeArticle

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
[ X ]
İsim:
Demirarslan, Kazım Onur.pdf
Boyut:
2.21 MB
Biçim:
Adobe Portable Document Format
Açıklama:
Tam Metin / Full Text
İndir
Lisans paketi
Listeleniyor 1 - 1 / 1
[ X ]
İsim:
license.txt
Boyut:
1.44 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama:
İndir

Koleksiyon

Çevre Mühendisliği Bölümü Yayın Koleksiyonu
Orman Mühendisliği Bölümü Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu