Prediction of air pollutants concentrations from multiple sources using AERMOD coupled with WRF prognostic model

• Main Authors: Afzali, A., Rashid, M., Afzali, M., Younesi, V.
• Format: Article
• Published: Elsevier Ltd 2017
• Subjects: T Technology (General)
• Online Access: http://eprints.utm.my/id/eprint/76454/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029160737&doi=10.1016%2fj.jclepro.2017.07.196&partnerID=40&md5=23c068f3e8258ab5bb49946097528f72
• Institution: Universiti Teknologi Malaysia

The investigation of pollutants concentrations affected by the multiple sources is essential for air quality management. In this study, the spatial variations of SO2, NO2 and PM10 emitted from multiple industrial sources in Pasir Gudang industrial area, Johor, Malaysia were predicted using American...