Publication:
Performance evaluation of AERMOD air dispersion model in Maptaphut industrial area, Thailand

dc.contributor.authorN. Jittraen_US
dc.contributor.authorS. Thepanondhen_US
dc.contributor.otherMahidol Universityen_US
dc.contributor.otherCenter of Excellence on Environmental Health and Toxicologyen_US
dc.date.accessioned2018-11-23T10:03:29Z
dc.date.available2018-11-23T10:03:29Z
dc.date.issued2015-01-01en_US
dc.description.abstract© 2015 Taylor & Francis Group, London. AERMOD air dispersion model was evaluated for its performance in predicting NO2 and SO2 in Maptaphut industrial area in Thailand. Emission data were comprised of 292 point sources, located in the study area. Modeled results were compared with those measured data from 10 receptor sites. Evaluation of model performance was carried out by using statistical analysis. It was found that AERMOD could provide accurate result for NO2 prediction. As for highest value, result from robust highest concentration analysis indicated that predicted data were well agreed with those measured data. The model tended to provide under-estimated results for SO2 calculation. Improper site selection of existing ambient air monitoring station was discussed by using results of the level and location of the maximum ground level concentration, obtained from the model.en_US
dc.identifier.citationEnvironmental Science and Information Application Technology - Proceedings of the 2014 5th International Conference on Environmental Science and Information Application Technology, ESIAT 2014. (2015), 225-228en_US
dc.identifier.other2-s2.0-84949574972en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/123456789/35859
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84949574972&origin=inwarden_US
dc.subjectDecision Sciencesen_US
dc.subjectEnvironmental Scienceen_US
dc.titlePerformance evaluation of AERMOD air dispersion model in Maptaphut industrial area, Thailanden_US
dc.typeConference Paperen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84949574972&origin=inwarden_US

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