Open AccessInvestigation of air pollution dispersion from kiln stacks based on seasonal using multi-model integration (WRF/CALPUFF)
Author(s) -
Alvin Pratama
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/623/1/012007
Subject(s) - weather research and forecasting model , environmental science , dry season , air pollution , air quality index , pollution , wet season , atmospheric sciences , meteorology , dispersion (optics) , correlation coefficient , geography , mathematics , statistics , ecology , chemistry , physics , cartography , organic chemistry , geology , optics , biology
Air pollution is one of the environmental problems that have a bad impact on human life. Air pollution sources come from various sources such as industry, mining, transportation activities, etc. This study aims to identify the seasonal dispersion of Sulfur Dioxide produced by kiln stacks in PT Semen Padang, Tbk. The Dispersion model used in this study is CALPUFF (For air pollution model) integrated with WRF (Weather Research Forecasting) (For meteorological model). CALPUFF requires the wind field generated by the CALMET model and the WRF model. From the simulation, the direction of SO 2 dispersion on the wet season and the dry season is influenced by meteorological phenomena such as sea breeze and land breeze. The dispersion of Sulfur Dioxide in the dry season passes the urban area more than in the wet season, with the highest concentration is 122 µg/m 3 . On the other hand, in the wet season, the highest concentration is 120 µg/m 3 . These results are below of national quality standard in Indonesia (365 µg/m 3 ). The statistic also shows that the correlation and error (RMSE) between the model and observed data are 0.63 and 5.49 in the wet season, whereas the correlation and error (RMSE) in the dry season are 0.74 and 2.89.