Source apportionment study of PM10 （Particulate Matter） in a critically polluted area of Jhafia coalfield, India has been carried out using Dispersion model, Principle Component Analysis （PCA） and Chemical Mass Ba...Source apportionment study of PM10 （Particulate Matter） in a critically polluted area of Jhafia coalfield, India has been carried out using Dispersion model, Principle Component Analysis （PCA） and Chemical Mass Balance （CMB） techniques. Dispersion model Atmospheric Dispersion Model （AERMOD） was introduced to simplify the complexity of sources in Jharia coalfield. PCA and CMB analysis indicates that monitoring stations near the mining area were mainly affected by the emission from open coal mining and its associated activities such as coal transportation, loading and unloading of coal. Mine fire emission also contributed a considerable amount of particulate matters in monitoring stations. Locations in the city area were mostly affected by vehicular, Liquid Petroleum Gas （LPG） ＆ Diesel Generator （DG） set emissions, residential, and commercial activities. The experimental data sampling and their analysis could aid understanding how dispersion based model technique along with receptor model based concept can be strategically used for quantitative analysis of Natural and Anthropogenic sources of PM10.展开更多
基金Dean, Director and Chairman of Marwadi Education Foundation's Group of Institutions for their continuous support
文摘Source apportionment study of PM10 （Particulate Matter） in a critically polluted area of Jhafia coalfield, India has been carried out using Dispersion model, Principle Component Analysis （PCA） and Chemical Mass Balance （CMB） techniques. Dispersion model Atmospheric Dispersion Model （AERMOD） was introduced to simplify the complexity of sources in Jharia coalfield. PCA and CMB analysis indicates that monitoring stations near the mining area were mainly affected by the emission from open coal mining and its associated activities such as coal transportation, loading and unloading of coal. Mine fire emission also contributed a considerable amount of particulate matters in monitoring stations. Locations in the city area were mostly affected by vehicular, Liquid Petroleum Gas （LPG） ＆ Diesel Generator （DG） set emissions, residential, and commercial activities. The experimental data sampling and their analysis could aid understanding how dispersion based model technique along with receptor model based concept can be strategically used for quantitative analysis of Natural and Anthropogenic sources of PM10.
