Interrelationships between Satellite Imagery Pollutants and Aerosol Particles in Air Quality Assessment (NO2, SO2, O3, CO, AOD) and GNSS ZWD Data

Air pollution is a critical environmental issue with significant implications for human health and the well-being of ecosystems. In Surabaya, Indonesia, a rapidly growing urban center, the deterioration of air quality due to industrialization, urbanization, and population growth poses significant challenges. To address these challenges effectively, comprehensive air quality assessments are essential. This research focuses on utilizing satellite data, particularly Sentinel-5P, and integrating it with ground-based measurements to assess air quality in Surabaya. The study investigates the temporal and spatial patterns of key pollutants (NO2, SO2, O3, CO) and aerosol optical depth (AOD), examines their interrelationships, and explores the influence of atmospheric moisture on pollutant dispersion using GNSS Zenith Wet Delay (ZWD) data. The findings reveal insights into the dynamics of air pollution in Surabaya, providing valuable information for air quality management, policy-making, and the development of effective mitigation strategies. Furthermore, the results have potential applications in air quality forecasting and the implementation of proactive measures to safeguard public health and preserve the environment. By leveraging satellite data and cutting-edge techniques, this research contributes to a better understanding of air pollution in Surabaya and offers a foundation for evidence-based decision-making in addressing air quality challenges.