Analysis of PM10 Air Quality Parameters Based on Satellite Imagery in The Cement Industrial Area
Sumarni Hamid Aly 1,2*, A.Azizah Nurul Dinanti 1,2, Nurul Masyiah Rani Harusi 1,2, Ibrahim Djamaluddin 1,2, Poppy Indrayani 3, Hengky Pala^langan 1

1Department of Environmental Engineering, Facutly of Engineering, University of Hasanuddin, St. Poros Malino KM. 6, Bontomarannu, Gowa, South Sulawesi, 92172, Indonesia
2 Transportation and Air Quality Research Group, University of Hasanuddin, St. Perintis Kemerdekaan No. KM. 10, Makassar, South Sulawesi, 90245, Indonesia
3 Department of Environmental Engineering, Faculty of Engineering, Muslim University of Indonesia, Jl. Urip Sumoharjo km.05 Makassar City, 90231, Indonesia

Abstract

Industry is one of the main causes of global warming and a significant source of emissions. Growth in production rates in a cement industry sector can cause an increase in pollutant emission loads into the air, which has the potential to affect pollutant concentrations in ambient air. This study aims to analyze PM10 concentrations and the Air Pollution Index (API) category based on satellite imagery in the X Cement Industry.This research was conducted with Sentinel-2 and Landsat 8 OLI/TIRS satellite image data using algorithm calculations of PM10 air quality parameters, data used in this study are Sentinel 2 on October 16, 2023, and Landsat 8 on October 16, 2023. The highest PM10 concentration for Sentinel-2 occurred in the operational area (Coal Stock Pile Unit 2/3/4), whereas Landsat 8 detected its highest value in a residential area (in front of Kampung Sela Mosque). The results of the ambient air concentration analysis from satellite imagery were converted into the Air Pollution Standard Index (ISPU) with the Average PM10 ISPU results of 60,10 (Moderate). With an RMSE test of 93,06 for Residential Area and for the Operational 123,47. confirming that PM10 is the dominant pollutant of concern. These findings highlight the significance of particulate matter monitoring in emission prone zones using satellite based approaches.

Keywords: Sentinel 2, Landsat 8, Cement Industry, Air Pollution Index, Remote Sensing

Topic: Topic B: Applications of Remote Sensing