Abstract
Steam power plant construction and operation is an effort to meet electricity needs. In Indonesia, two steam power plants were built and changed the landscape in Cirebon. The presence of Cirebon steam power plants has disturbed the community and potential to decrease air quality. This study aims to estimate air quality changes around the power plants based on remote sensing satellite imageries. The main data in this study obtained from Landsat-8 OLI (2019) and Landsat-7 ETM (2004) satellite imageries were processed with four parameters of air quality algorithm namely PM10, CO, SO2, and NOx on AOI with ranging of 2000 m from the source point. Validation uses comparative data from MODIS and Sentinel-2 MSS satellite imageries in the same period. Changes analysis in air quality used the Mann-Whitney method (U-Test). This research shows that the Landsat series satellite imagery is suitable to be used as the main data for estimating air quality because it has a similar pattern to comparable data. The Cirebon PLTU operation caused a significant increase in CO levels of 1.25 mg/l on a wide range. In other air quality parameters such as PM10, SO2 and NOx were decreased.
Highlights
Steam power plant construction and operation is an effort to meet electricity needs
This study aims to estimate air quality changes around the power plants based on remote sensing satellite imageries
Delhi air pollution modeling using remote sensing technique
Summary
Kebutuhan energi listrik di Indonesia terus meningkat seiring dengan laju pertumbuhan penduduk, industrialisasi, dan perkembangan gaya hidup modern. Salah satu cara untuk mengetahui perubahan kualitas udara yakni melalui pemanfaatan citra satelit penginderaan jauh sebagai bagian dari monitoring lingkungan. Citra satelit penginderaan jauh multi-spektral memiliki beberapa sensor yang dapat disesuaikan dengan kebutuhan monitoring lingkungan oleh pengguna serta memiliki skala spasial dan waktu perekaman yang luas (Nguyen et al, 2015; Matharaarachchi et al, 2016; Martin, 2008). Pada parameter gas rumah kaca, data dari citra satelit penginderaan jauh memiliki korelasi dengan hasil pengukuran yang signifikan dengan R2 sebesar 0,52 (Hasan et al, 2014). Penggunaan data dari dua citra satelit untuk membandingkan informasi kualitas udara diharapkan mampu meningkatkan efisien biaya, tenaga, maupun waktu
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