Seasonal Variation of Selected Metals in Particulate Matter at an Industrial City Kota, India

Abstract

This study investigates seasonal variation in concentration of some heavy metals in suspended and respirable particulate matter (SPM and RPM) collected from five different zones situated in Kota city during both summer (March, April, May and October) and winter (January, February, November and December) seasons of 2011-2012. Mean concentrations of anthropogenic origin metals (Pb, Zn, Cu and Cd) were higher in winter and lower in summer with their relative abundance in order: Zn > Pb > Cu > Cd while reverse trend was observed for crustal origin metals (Ca, Mg and Fe) at all zones. Meteorological conditions such as temperature, relative humidity, wind velocity and wind direction during winter and summer were found affecting the metals concentration trends in different seasons. Wind roses indicate that the zones lying in predominant North-east wind direction from point source (KSTPS) in winter (25.74%) and summer (15.31%) faced higher metal burden following zone 1, which is suffering most owing to its closest location to the source. Statistical analysis by Pearson's correlations, enrichment factor and principal component analysis indicates that coal based Thermal Power Plant is the major source of heavy metals besides other industrial activities in the study area. It is to be noted that because of higher residence time, significant concentration of Pb is found at all the zones in the city which, probably, has its origin in earlier vehicular exhaust as well.

Vertical transport of PM and PM and its source identification in the street canyons of Chennai metropolitan city, India

“…The size distribution may vary over a wide range of values, from nano-to micro-particles, and composition mainly consists of inorganic ions, organic carbon (OC), elemental carbon (EC), crustal elements and toxic metals. In India, high enrichment factors have been reported for various metals including Pb, Zn, Cu, Ni and Cr in many studies (Meena et al, 2016;Masih et al, 2019). Using SEM-EDX analysis, Srivastava et al (2009) reported that particles were primarily of anthropogenic origin irrespective of size in polluted areas, e.g., traffic intersections.…”

Accuracy of Advanced and Traditional Three-Way Factor Analysis Models for Determining Source Contributions to Particulate Matter

“…Atmospheric particulate matter (PM) is considered to be a major pollutant worldwide (Shen et al, 2014;Srithawirat and Brimblecombe, 2015;Meena et al, 2016). Numerous studies have described adverse effects of PM on public health, visibility, climate change and environmental quality (Zheng et al, 2007).…”