Air pollution hotspots are typically concentrated in densely populated urban areas, where air emissions can originate from single or multiple sources. Urban air pollution hotspots frequently exhibit high levels of spatiotemporal variation. Therefore, there is a need to identify source-specific air quality characteristics to mitigate air pollution at urban hotspots. The aim of this research is to investigate the spatiotemporal variation of air quality characteristics at hotspots in Chennai city and identify feasible solutions to improve air quality. In the present seminar, comprehensive source-specific hotspot studies are being presented. Field measurements have been conducted at five different hotspot categories namely traffic, construction, eateries, commercial, and residential areas during peak hours to analyze the size distribution and dispersion patterns of PM at each location. The PM10 concentrations were observed to be 50±12, 155±47.5, 250±75, 120±32, and 312±115 µg/m3 at residential, construction, traffic, restaurant, and commercial sites, respectively. In comparison to a traffic site, the mean PM10 concentrations at commercial locations were 2.6 times greater. In all of the monitoring locations, a considerable drop in PM10 concentrations was noted spatially. A CFD model has been used to study spatiotemporal variations at all five selected hotspots for different scenarios. It was found that at 100 meters from the source, there was a 50%-52% reduction in PM10 at the construction site and traffic junction. Furthermore, at 500 meters away from these sites, a substantial reduction of 60- 61% was observed. In order to address air pollution issues at hotspots ambient air purifier has been set up at both of these locations and found that air purifiers are a feasible solution to improve the air quality at urban hotspots.