Spatial and Temporal Analysis of NO2 Pollution in Tehran Province Using Giovanni: Insights for Air Quality Management in Iran
Subject Areas : Environment
1 - Maybod Branch, Islamic Azad University, Maybod, Iran
Keywords: Nitrogen Dioxide (NO2) Pollution, Remote Sensing, Temporal and Spatial Analysis, Urban Air Quality,
Abstract :
Background and objective: Air pollution, particularly nitrogen dioxide (NO2), has become a critical environmental issue in Tehran, with adverse effects on human health and the ecosystem. Understanding the spatial and temporal variability of NO2 is essential for effective air quality management. This study aims to investigate the seasonal variations and distribution of NO2 concentrations in Tehran using satellite-derived data and to assess the influence of human and natural factors and activities. Materials and methods: The research utilizes satellite data from NASA’s Giovanni system, focusing on NO2 levels over Tehran City. Sentinel-5P satellite images were analyzed using Google Earth Engine (GEE) to assess the spatial distribution of NO2 concentrations. The study examined seasonal trends from 2020 to 2023, correlating the data with meteorological parameters like wind speed. Statistical analyses were applied to validate the relationship between NO2 levels and influencing factors. Results and conclusion: The results revealed significant seasonal variability, with NO2 concentrations peaking during colder months. Meteorological factors, particularly wind speed was found to play a crucial role in NO2 dispersion. Additionally, areas with high traffic density and industrial activities exhibited elevated NO2 levels. This study highlights the need for targeted pollution control measures, especially during winter, and underscores the impact of urban planning on air quality. The findings provide a foundation for future research and policymaking aimed at reducing NO2 emissions in urban areas.
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