Just Accepted

This article has been peer reviewed and accepted for publication. It is in production and has not been edited, so may differ from the final published form.

Utilization of Local Emission Inventory Data for Forecasting PM10 by Using WRF-Chem Model in Bandung Basin

Prawira Kombara , Alvin Pratama, Nani Cholianawati, Ninong Komala, Dessy Gusnita

Abstract

The 2015 local emission data from the Ministry of Environment and Forestry of the Republic of Indonesia is used as the anthropogenic emission input for the WRF-Chem model to forecast PM10. The research examines the model's performance when the anthropogenic emission data change from global to local. The study focuses on the Bandung Basin, running the model for both dry and wet seasons. Two scenarios were conducted for each season: the first (control scenario) uses global emissions, while the second (updated scenario) utilizes local emissions. The results indicate that the WRF-Chem model's performance improved slightly when the regional emissions replaced global emissions in either season. While the model's output is compared with the ground station, the PM10 pattern of the second scenario can follow the pattern of observation data. Referring to the Pearson correlation and root mean square error (RMSE), the wet season result exhibits a better score than the dry season result. Even though the RMSE on both seasons still shows an unsatisfactory score, the Pearson Correlation shows a good score. Both scenarios obtain a poor score of RMSE, and these results reveal that the updated anthropogenic emission still cannot improve the prediction of PM10 in the Bandung Basin.

ES23026  Accepted 02 March 2025

© CSIRO 2025