Issue |
E3S Web Conf.
Volume 563, 2024
International Conference on Environmental Science, Technology and Engineering (ICESTE 2024)
|
|
---|---|---|
Article Number | 03068 | |
Number of page(s) | 5 | |
Section | Green Environment | |
DOI | https://doi.org/10.1051/e3sconf/202456303068 | |
Published online | 30 August 2024 |
Monitoring Trends of SO2 level Using Time-Series Sentinel-5 Images Based on Google Earth Engine
1 “Tashkent Institute of Irrigation and Agricultural Mechanization Engineers” National Research University, Kary-Niaziy str. 39, 100000 Tashkent, Uzbekistan
2 Bukhara Institute of Natural Resources Management of the National Research University of “Tashkent Institute of Irrigation and Agricultural Mechanization Engineers”, 32, Gazli shokh Ave., Bukhara 105009, Uzbekistan
* Corresponding author: teshaevnozim@gmail.com
This research delves into an extensive examination of Sulphur dioxide (SO2) column density patterns within the Tashkent region, Uzbekistan, employing advanced spatial analysis techniques facilitated by Google Earth Engine (GEE) and leveraging high-resolution Sentinel-5P satellite data. The investigation spans the critical years of 2019 and 2023, meticulously scrutinizing monthly maximum and mean SO2 values to elucidate nuanced temporal trends -and spatial distributions. The comprehensive analysis divulges a multifaceted narrative of air quality dynamics, particularly unveiling pronounced spatial heterogeneity in SO2 emissions across the Tashkent region. Notably, the southern expanse emerges as a focal point of heightened SO2 concentration, prominently linked to the extensive presence of industrial complexes and manufacturing facilities. Moreover, a distinct circular pattern of elevated SO2 concentrations concentrically encircling the capital city, Tashkent. This spatial anomaly is attributed to a numerous of anthropogenic factors, prominently including the combustion of fossil fuels within greenhouse infrastructures, compounded by the escalating vehicular emissions stemming from the increasing urban populace and its concomitant resource consumption patterns.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.