COMPUTATIONAL POLLUTANT OF SO2/NO2 IN THE ENVIRONMENT USING AERMOD IN SEMI-URBAN AREA, STUDI CASE IN TUBAN, EAST JAVA

Abstract

Air pollution is a problem that often occurs in Indonesia, especially in cities where the industry is growing rapidly, such as Tuban City. This is due to the low level of environmental management planning, including air quality management. Many models can be used to predict pollutant concentrations in ambient air. Currently, the model often used is Meteorological Forecast Models, one of which is AERMOD. The effort made here is to evaluate the performance of the AERMOD (AERMOD + Background concentration) model. The AERMOD model was used to predict ambient air quality in Tuban, East Java, and evaluated using ratio-to-observer, MAPE, and relative mean bias values. Air quality modeling was carried out in the rainy and dry seasons in 2018 and 2019. The modeling results using the AERMOD model resulted in an acceptable model. The results of the NO2 parameter modeling result in an overpredicted model trend, and changes in grid size affect the MAPE value and the resulting relative means bias. Meanwhile, the SO2 parameter modeling results produce a model that tends to be underpredicted, and the change in grid size does not have a significant effect. The performance evaluation of the model is expected to be useful for air quality management and further development of this model.