- Mar 17, 2020
- Posted by: admin
- Category: Abstract of 2nd-rase
Proceedings of The 2nd International Conference on Advanced Research in Applied Science and Engineering
Year: 2020
DOI: https://www.doi.org/10.33422/2nd.rase.2020.03.98
Source Apportionment of Volatile Organic Compounds in SIDCO Kurichi Area Using Positive Matrix Factorization
Sangeetha A and Jamuna M
ABSTRACT:
Air pollution is one of the inevitable problems in our environment. India experiencing these problems due rapid industrialization, urban development and increase in vehicles. It is important to investigate the pollutants that causing problems. There are various pollutants such as particulate matter, volatile organic compounds, ozone, NOx and SOx etc. Various experimental methods are available for measuring the concentration of various pollutants and to that monitoring station with sensors are available in major cities of India to measure the daily ambient air quality. The air quality modelling helps us to predict the ambient air quality in future and also comparison of source emission has been made easy. This work carries out the measurement of ambient air VOC at SIDCO industrial cluster of Kurichi area, Coimbatore. It is an important place to be noted for air pollution studies in Coimbatore because it has 286 industries and located in NH209. This project mainly focuses on the Volatile organic compound emission. The percentage of toluene contribution is 98.7% in oil blending. Toluene is emitted in larger amount compared to all other species. Though VOC is considered as an indoor air pollution it is important to control the VOC. The source contribution of VOC by various industries is found out using by Positive Matrix Factorization model, it is also used to find out the source apportionment of various air pollutant.
Keywords: Positive Matrix Factorization, VOC, CEPI, Factors, Species.