Effects of topographic variables on traffic-related pollutant concentrations: comparison of AERMOD and CAL3QHCR models

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dc.authorid0000-0002-1023-7584
dc.contributor.authorDemirarslan, Kazım Onur
dc.date.accessioned2025-09-30T08:49:09Z
dc.date.available2025-09-30T08:49:09Z
dc.date.issued2025
dc.departmentAÇÜ, Mühendislik Fakültesi, Çevre Mühendisliği Bölümü
dc.description.abstractIntroduction: This study examines the spatial dispersion of traffic-related pollutants (CO, NOx, and PM10) along a major highway corridor that connects the Eastern Black Sea Region with northern Türkiye. The primary objective is to compare the performance of two atmospheric dispersion models—AERMOD and CAL3QHCR—and to evaluate how topographic variables influence their outputs. Methods: Dispersion simulations were performed using AERMOD and CAL3QHCR under identical meteorological and traffic input scenarios. Model predictions were compared using Spearman’s rank correlation coefficient and validated against observational data from ten air quality monitoring stations. Fractional Bias (FB) and Normalized Mean Square Error (NMSE) were employed as statistical performance metrics. Results: Both models estimated higher pollutant concentrations near highways, but AERMOD consistently predicted higher maximum values (CO: 0.78 ppm; NOx: 1.48 ppm; PM10: 26.59 μg/m3). CAL3QHCR produced lower estimates (CO: 0.20 ppm; NOx: 0.09 ppm; PM10: 2.70 μg/m3), yet it showed better agreement with observed CO and NOx concentrations. Correlation analysis indicated strong negative correlations between pollutant levels and elevation (e.g., CO: r = −0.87). Both models captured the spatial decline in concentrations with increasing distance from the road, particularly within the first kilometer. Discussion: AERMOD was found to overpredict pollutant concentrations, while CAL3QHCR yielded closer estimates for CO and NOx. However, both models exhibited poor performance in simulating PM10, as indicated by high NMSE values and consistent underestimation. These findings highlight the significance of topography in dispersion modeling and the necessity of model calibration for PM-based assessments.
dc.identifier.doi10.3389/fenvs.2025.1577330
dc.identifier.issn2296665X
dc.identifier.scopus2-s2.0-105013224498
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://hdl.handle.net/11494/5914
dc.identifier.volume13
dc.identifier.wosWOS:001548626100001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakScopus
dc.indekslendigikaynakWeb of Science
dc.institutionauthorDemirarslan, Kazım Onur
dc.institutionauthorid0000-0002-1023-7584
dc.language.isoen
dc.publisherFrontiers Media SA
dc.relation.ispartofFrontiers in Environmental Science
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectAERMOD
dc.subjectAir quality
dc.subjectCAL3QHCR
dc.subjectTopography effect
dc.subjectTraffic concentrations
dc.titleEffects of topographic variables on traffic-related pollutant concentrations: comparison of AERMOD and CAL3QHCR models
dc.typeArticle

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