caa a22 4500 467904871 CHVBK 20180406152831.0 cr unu---uuuuu 170328e20060401xx s 000 0 eng 10.1007/s10661-006-6550-8 doi (NATIONALLICENCE)springer-10.1007/s10661-006-6550-8 Characterisation of PM10, PM2.5 and Benzene Soluble Organic Fraction of Particulate Matter in an Urban Area of Kolkata, India [Elektronische Daten] [A. Gupta, Subhankar Nag, U. Mukhopadhyay] In this study, the relationship between inhalable particulate (PM10), fine particulate (PM2.5), coarse particles (PM2.5 - 10) and meteorological parameters such as temperature, relative humidity, solar radiation, wind speed were statistically analyzed and modelled for urban area of Kolkata during winter months of 2003-2004. Ambient air quality was monitored with a sampling frequency of twenty-four hours at three monitoring sites located near traffic intersections and in an industrial area. The monitoring sites were located 3-5 m above ground near highly trafficked and congested areas. The 24 h average PM10 and PM2.5 samples were collected using Thermo-Andersen high volume samplers and exposed filter papers were extracted and analysed for benzene soluble organic fraction. The ratios between PM2.5 and PM10 were found to be in the range of 0.6 to 0.92 and the highest ratio was found in the most polluted urban site. Statistical analysis has shown a strong positive correlation between PM10 and PM2.5 and inverse correlation was observed between particulate matter (PM10 and PM2.5) and wind speed. Statistical analysis of air quality data shows that PM10 and PM2.5 are showing poor correlation with temperature, relative humidity and solar radiation. Regression equations for PM10 and PM2.5 and meteorological parameters were developed. The organic fraction of particulate matter soluble in benzene is an indication of poly aromatic hydrocarbon (PAH) concentration present in particulate matter. The relationship between the benzene soluble organic fraction (BSOF) of inhalable particulate (PM10) and fine particulate (PM2.5) were analysed for urban area of Kolkata. Significant positive correlation was observed between benzene soluble organic fraction of PM10 (BSM10) and benzene soluble organic fraction of PM2.5 (BSM2.5). Regression equations for BSM10 and BSM2.5 were developed. Springer Science + Business Media, Inc., 2006 BSOF nationallicence meteorology nationallicence poly aromatic hydrocarbon nationallicence PM2.5 nationallicence PM10 nationallicence urban area nationallicence Gupta A. Department of Civil Engineering, Indian Institute of Technology, Kharagpur, India aut Nag Subhankar Department of Civil Engineering, Indian Institute of Technology, Kharagpur, India aut Mukhopadhyay U. West Bengal Pollution Control Board, Kolkata, West Bengal, India aut Environmental Monitoring and Assessment Kluwer Academic Publishers 115/1-3(2006-04-01), 205-222 0167-6369 115:1-3<205 2006 115 10661 https://doi.org/10.1007/s10661-006-6550-8 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10661-006-6550-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Gupta A. Department of Civil Engineering, Indian Institute of Technology, Kharagpur, India aut NATIONALLICENCE 700 1- Nag Subhankar Department of Civil Engineering, Indian Institute of Technology, Kharagpur, India aut NATIONALLICENCE 700 1- Mukhopadhyay U. West Bengal Pollution Control Board, Kolkata, West Bengal, India aut NATIONALLICENCE 773 0- Environmental Monitoring and Assessment Kluwer Academic Publishers 115/1-3(2006-04-01), 205-222 0167-6369 115:1-3<205 2006 115 10661 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer