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ABSTRACT: Introduction
India experiences high levels of air pollution as measured by fine particulate matter <2.5 μm (PM2.5) across the country. With limited resources, it is imperative to identify the most impacted areas. We aimed to identify air pollution hotspots in India and analyze temporal trends.Methods
We conducted a geospatial analysis using Getis-Ord Gi statistics on gridded-annual levels of PM2.5 disaggregated for every state/UT and three largest cities [Delhi, Kolkata & Mumbai] of India from 2008 to 2019. The annual average PM2.5 was derived from a validated and robust nationwide spatiotemporal model(1kmx1km). Hotspots were identified annually using Gi∗ score and p-value and temporal trends across 2 periods [T1:2008-2013 & T2:2014-2019] fo
SUBMITTER: Jaganathan S
PROVIDER: S-EPMC11790316 | biostudies-literature | 2025 Jan
REPOSITORIES: biostudies-literature