TY - GEN
T1 - Interrelationships between Satellite Imagery Pollutants and Aerosol Particles in Air Quality Assessment (NO2, SO2, O3, CO, AOD) and GNSS ZWD Data
AU - Haq, Failaqul
AU - Cahyadi, Mokhamad Nur
AU - Sumantyo, Josaphat Tetuko Sri
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - GNSS Zenith Wet Delay (ZWD)
KW - air pollution
KW - air quality assessment
KW - air quality management
KW - satellite data
UR - http://www.scopus.com/inward/record.url?scp=85185005128&partnerID=8YFLogxK
U2 - 10.1109/APSAR58496.2023.10388586
DO - 10.1109/APSAR58496.2023.10388586
M3 - Conference contribution
AN - SCOPUS:85185005128
T3 - APSAR 2023 - 2023 8th Asia-Pacific Conference on Synthetic Aperture Radar
BT - APSAR 2023 - 2023 8th Asia-Pacific Conference on Synthetic Aperture Radar
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2023
Y2 - 23 October 2023 through 27 October 2023
ER -