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Analysis of industrial source contribution to ambient air concentration using AERMOD dispersion model
Khamyingkert L. - ไม่ระบุหน่วยงาน
ชื่อเรื่อง (EN): Analysis of industrial source contribution to ambient air concentration using AERMOD dispersion model
ผู้แต่ง / หัวหน้าโครงการ (EN): Khamyingkert L.
บทคัดย่อ (EN): Contribution of each type of industrial group to ambient concentration of SO2 and NO2 in Maptaphut industrial area, Thailand was evaluated in the study. AERMOD dispersion model was used to simulate for the maximum 1-hr and annual average concentration within modelling domain in the year 2013. Industrial emission sources were grouped into 5 types namely 1) Gas separation plant, 2) Metal, 3) Petrochemical industry, 4) Power plant and 5) Refinery, respectively. Totally, 422 stack sources were used as input data in this analysis. Results revealed that the maximum 1-hr average ground level concentrations of SO2 and NO2 were dominated by contributions from power plant group. Maximum annual average concentrations of these pollutants were mainly from Petrochemical industry group emissions. Therefore, controlling of SO2 emission from Power plant group and NOx emission from Petrochemical industry group should be given priority for appropriate controlling and management of these air pollutants in this industrial area. © 2015, Thai Society of Higher Eduation Institutes on Environment. All rights Reserved.
บทคัดย่อ: ไม่พบข้อมูลจากหน่วยงานต้นทาง
ภาษา (EN): en
เอกสารแนบ (EN): https://www.scopus.com/inward/record.uri?eid=2-s2.0-84949555147&partnerID=40&md5=ba400dc3640194a696172720514622a0
เผยแพร่โดย (EN): มหาวิทยาลัยมหิดล
คำสำคัญ (EN): Thailand
เจ้าของลิขสิทธิ์ (EN): มหาวิทยาลัยมหิดล
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Analysis of industrial source contribution to ambient air concentration using AERMOD dispersion model
Khamyingkert L.
มหาวิทยาลัยมหิดล
ไม่ระบุวันที่เผยแพร่
Performance evaluation of AERMOD and CALPUFF air dispersion models in industrial complex area Performance evaluation of AERMOD air dispersion model in Maptaphut industrial area, Thailand Evaluation of dispersion model performance in predicting SO2 concentrations from petroleum refinery complex Prediction of ambient nitrogen dioxide concentrations in the vicinity of industrial complex area, Thailand Source apportionment analysis of airborne VOCs using positive matrix factorization in industrial and urban areas in Thailand Success of fuel quality improving policy in reducing benzene air concentrations in Bangkok A simple grid implementation with Berkeley Open Infrastructure for Network Computing using BLAST as a model Assimilative capacity of air pollutants in an area of the largest petrochemical complex in Thailand Integrated Multivariate Analysis with Nondetects for the Development of Human Sewage Source-Tracking Tools Using Bacteriophages of Enterococcus faecalis Dengue forecasting model using sarima model to predict the incidence of dengue in Thailand
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