A dataset providing annual estimates of ground-level PM2.5 concentrations across India from 1998 to 2020, enabling analysis of air quality trends, pollution hotspots, and health risks at various administrative levels.
The Surface PM2.5 Pollution Dataset (1998-2020) provides spatially aggregated annual estimates of fine particulate matter (PM2.5) concentrations across India. PM2.5 is a key indicator of air pollution and public health risks, and this dataset enables researchers, policymakers, and environmental scientists to analyze air quality trends, pollution hotspots, and long-term exposure risks. This dataset is generated using Aerosol Optical Depth (AOD) retrievals from NASA's satellite instruments, which provide satellite-derived estimates of aerosol concentrations in the atmosphere. PM2.5 data is spatially aggregated at different administrative levels, including Shrid (village/town), District, and Subdistrict. This allows users to assess pollution exposure at various scales, making it useful for: 1. Health impact assessments related to respiratory diseases and mortality rates. 2. Environmental policy and air quality regulations at regional and national levels. 3. Urbanization and industrialization studies, particularly in pollution-prone regions. 4. Comparative analysis with socioeconomic indicators, such as economic growth, population density, and infrastructure development.
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