SPATIAL MODELING OF NO2 CONCENTRATION BASED ON LAND COVER (CASE STUDY IN THE EAST BANDUNG REGION)

• Main Author: Balqisani Kurnia, Annissa
• Format: Theses
• Language: Indonesia
• Subjects: Teknik saniter dan perkotaan; teknik perlindungan lingkungan
• Online Access: https://digilib.itb.ac.id/gdl/view/87010
• Institution: Institut Teknologi Bandung

Bandung is one of the major metropolitan cities in Indonesia that has experienced a significant population increase over the past decade, which has impacted activities contributing to air pollution. The rapid population growth in urban areas has led to increased transportation activities and pollutant emissions, particularly nitrogen dioxide (NO?). This study aims to map the spatial distribution of nitrogen dioxide (NO?) concentrations in East Bandung (Batununggal, Kiaracondong, and Cibeunying Kidul Districts) and analyze the influence of land cover on these concentrations. Monitoring was conducted using passive samplers at 40 sampling points over 12 weeks, resulting in an average NO? concentration of 100.9 µg/m³, with the highest concentration of 153.95 µg/m³ in road network areas and the lowest concentration of 54.60 µg/m³ in green land cover areas. The spatial distribution of NO? was mapped using IDW (Inverse Distance Weighting), Spline, and Kriging interpolation methods. The evaluation showed that the IDW method provided the most accurate results with an RMSE (Root Mean Square Error) value of 0.043 and an SD (Standard Deviation) of 0.0038 compared to other methods. Spatial and descriptive analyses between NO? concentrations and land cover revealed that the highest concentrations 173,29 µg/m³ were found in areas with a road network percentage of 27.49%, green open space at 0%, residential at 26%, and commercial regions at 46.16%. The lowest concentration of 62.32 µg/m³ was found in areas with a road network percentage of 40.39%, green open space at 38%, residential areas at 0.34%, and commercial areas at 21.44%. The correlation analysis between NO? concentrations and land cover showed a weak relationship. These findings highlight the existence of other factors that may influence NO? concentrations. This study provides insights into the distribution of air pollution based on land cover characteristics and offers valuable information for sustainable urban spatial planning and air quality management.