Faculty Publications

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Author: search.filters.author.Kalaiarasan, G.Has files: No

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    Receptor model based source apportionment of PM10 in the metropolitan and industrialized areas of Mangalore
    (Elsevier B.V., 2016) Kalaiarasan, G.; Mohan Balakrishnan, R.M.; Khaparde, V.V.
    PM10 samples were collected from a traffic site (Town hall) and industrial site (KSPCB) of Mangalore, India during 2014. Chemical characterization using ICP-MS proclaimed the presence of twelve trace elements (Ca, Cd, Cr, Cu, Fe, Pb, Mg, Mn, Sr, Ti, V, and Zn) from traffic site and six trace elements (Cd, Ni, Pb, K, Cr and Zn) from industrial site. Source apportionment has been done using Enrichment Factors (EF's) and Principal Component Analysis (PCA). EF's outcome using Fe as reference element showed higher enrichment for Zn, Pb, Cd, V, Cr, Ti and Cu compared to Sr, Ca, Mg and Mn. Similarly EF's calculated for industrial site using K as a reference element exhibits higher enrichment for Cd, Ni, Pb, Cr and Zn. Principal Component Analysis using varimax rotation distinguishes three sources (vehicular sources, crustal sources and brake wear emissions) for PM10 particles at traffic and two sources (steel and non-ferrous metal industries emissions and Coal/fuel oil combustion emission) at industrial site. This is the first known work for source identification of particulate matter (PM10) in coastal industrial city Mangalore. © 2016
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    Source apportionment of PM2.5 particles: Influence of outdoor particles on indoor environment of schools using chemical mass balance
    (AAGR Aerosol and Air Quality Research hhyang@cyut.edu.tw, 2017) Kalaiarasan, G.; Mohan Balakrishnan, R.M.; Sethunath, N.A.; Manoharan, S.
    Children have higher lung function than adults and they spend most of their day time in schools. Also, children studying at schools located in the vicinity of busy roadways are vulnerable to childhood asthma and respiratory disorders. The present study is focused on estimating the sources of PM2.5 particles present in the indoor air quality in schools which are located adjacent to urban and suburban roadways. The indoor PM2.5 samples from all the four schools were collected using fine dust sampler from 8 a.m. to 4 p.m. The sampling was carried out for one complete week during various seasons including both working and non-working days. The chemical compositions of the PM2.5 samples were analyzed for certain elements like Ba, Cd, Cr, Cu, Fe, Mn, Ni, Pb, Sr, Ti, V and Zn using Inductively Coupled Plasma Optical Emission Spectrometry (ICP OES) and ions like F-, Cl-, NO3-, PO43-, SO42-, K+, Ca2+, Mg2+, NH4+, Na+ using Ion Chromatography (IC). Source apportionment study using Chemical Mass Balance was carried out using the species concentration of the collected samples. The major sources were found to be Paved Road Dust, Soil Dust, Gasoline Vehicle Emissions, Diesel Vehicle Emissions and Marine Source Emissions. Among these, vehicular emissions contribution was found to be higher for the schools located close to roadways rather than the school located at a considerable distance from highway. The difference in source type contribution at each school clearly depicts the difference in nature of location and type of activities in the vicinity of the sampling sites. © Taiwan Association for Aerosol Research.
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    TiO2 nanosheet incorporated polysulfone ultrafiltration membranes for dye removal
    (Desalination Publications dwt@deswater.com, 2018) Nair, A.K.; Kumar, B.V.; Kalaiarasan, G.; JagadeeshBabu, J.B.
    Incorporation of nanomaterials in polymeric membranes is an effective means to improve membrane performance. In the present work, a novel additive TiO2 nanosheet was incorporated in polysulfone membrane. TiO2 nanosheets were synthesised by hydro-thermal method and blended with polysulfone to give nanocomposite membranes. The membranes performance was evaluated via pure water flux, bovine serum albumin rejection and anti fouling studies. Further the membranes were subjected to dye rejection application using Congo red and Rhodamine-B dyes. The membranes were characterised using scanning electron microscopy; X-ray diffraction and contact angle measurement. The nanocomposite membranes exhibited superior permeation, anti fouling and dye rejection traits. © 2018 Desalination Publications. All rights reserved.
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    Source apportionment studies on particulate matter (PM10 and PM2.5) in ambient air of urban Mangalore, India
    (Academic Press, 2018) Kalaiarasan, G.; Mohan Balakrishnan, R.M.; Sethunath, N.A.; Manoharan, S.
    Particulate matter (PM10 and PM2.5) samples were collected from six sites in urban Mangalore and the mass concentrations for PM10 and PM2.5 were measured using gravimetric technique. The measurements were found to exceed the national ambient air quality standards (NAAQS) limits, with the highest concentration of 231.5 ?g/m3 for PM10 particles at Town hall and 120.3 ?g/m3 for PM2.5 particles at KMC Attavar. The elemental analysis using inductively coupled plasma optical emission spectrophotometer (ICPOES) revealed twelve different elements (As, Ba, Cd, Cr, Cu, Fe, Mg, Mn, Mo, Ni, Sr and Zn) for PM10 particles and nine different elements (Ba, Cd, Cr, Cu, Fe, Mn, Ni, Pb, Sr and Zn) for PM2.5 particles. Similarly, ionic composition of these samples measured by ion chromatography (IC) divulged nine different ions (F?, Cl?, NO3 ?, PO4 3?, SO4 2?, Na+, K+, Mg2+ and Ca2+) for PM10 particles and ten different ions (F?, Cl?, NO3 ?, PO4 3?, SO4 2?, Na+, NH4 +, K+, Mg2+ and Ca2+) for PM2.5 particles. The source apportionment study of PM10 and PM2.5 for urban Mangalore in accordance with these six sample sites using chemical mass balance model (CMBv8.2) revealed nine and twelve predominant contributors for both PM10 and PM2.5, respectively. The highest contributor of PM10 was found to be paved road dust followed by diesel and gasoline vehicle emissions. Correspondingly, PM2.5 was found to be contributed mainly from two-wheeler vehicle emissions followed by four-wheeler and heavy vehicle emissions (diesel vehicles). The current study depicts that the PM10 and PM2.5 in ambient air of Mangalore region has 70% of its contribution from vehicular emissions (both exhaust and non-exhaust). © 2018 Elsevier Ltd