Receptor modelling of air pollutants for source apportionment on coal-based anthropogenic activities

1 Sep 2020 / by AISHWARYA MISHRA, SANJAY KUMAR PALEI, NETAI CHANDRA KARMAKAR

Abstract: Identification of sources of air pollutants plays a predominant role in coal-based anthropogenic activities to manage the air quality. Coal mining and thermal power plants (TPPs) are two multi-activity-centred coal-based sources that affect the ambient air quality of the region. Among five air pollutants under consideration, the annual average concentration of PM10 and PM2.5 exceeded the Indian Central Pollution Control Board (CPCB) prescribed annual standard limit, and the probability of exceedance of daily average concentration for PM10 was 80.3% and that of PM2.5 was 60.7%. Therefore, in this paper, pollutants’ mass concentration data has been used to quantify the proportionate contribution of the sources using Positive Matrix Factorization (PMF) analysis for five pollutants. In addition, correlation analysis and literature survey has been used to designate the sources. The PMF analysis revealed that 74.4% of PM10 are emitted from coal mining and its allied activities, and 25.6% by TPP; whereas TPPs contribute 57.6% of PM2.5 emission and 42.4% is by coal mining and its allied activities. Source apportionment of pollutants can help policy-makers and company management to devise suitable short-term as well as long-term emission control measures to manage particulate pollutants.

Keywords: Source apportionment; air pollutants; positive matrix factorization; coal mine; thermal power plants.

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