ANNOUNCEMENTS
In a developing country like India where immigration from rural to urban areas is increasing due to urbanisation, air quality is kept on priority. Health risks related to air quality becomes even more severe when it comes to world’s second largest population. Over the last decade the Particulate matter have been studies a lot as they can cause several damange to the human body. Indian cities are found to have exceeded the WHO limit of 40μg/m3 for PM2.5 and 60 μg/m3 for PM10 . Source apportionment is a technique which, with the use of sevral receptor and dispersion models, narrows down the overall concentration of particulate matter into the source which are contributing them to the ambient air. In this study we focus on the different techniques that are used for source apportionment for indian cities. We came to the conclusion that percentage of usage of dispersion and receptor models are 31% and 69% respectively. Also, this paper divides Indian into 5 parts north, north-east, west, east, south and central regions and it was found that number of source apportionment studies performed for the regions are 28%, 5%, 23%, 13% , 27% and 5% in 2020. This paper breifly talks about the models and their working and concludes that as important as air quality is, there needs to be an active monitoring for lesser studied areas like the central India as well as north-eastern India.
