Manojkumar N, Jose Jithin, Guptha Gowtham, Bhardwaj Ankur, Srimuruganandam B
School of Civil Engineering, Vellore Institute of Technology, 145D- G.D. Naidu Block, Vellore, Tamil Nadu, 632 014, India.
Department of Earth and Environmental Science, Indian Institute of Science Education and Research (IISER) Bhopal, Bhopal, Madhya Pradesh, 462 066, India.
Environ Geochem Health. 2023 May;45(5):2031-2050. doi: 10.1007/s10653-022-01327-4. Epub 2022 Jun 30.
Present study aims to assess the mass, composition, and sources of PM and PM (particulate matter having aerodynamic diameter less than or equal to 10 and 2.5 µm aerodynamic diameter, respectively) in Vellore city. Seasonal samples collected in traffic and residential sites were analyzed for ions, elements, organic carbon (OC), and elemental carbon (EC). Source apportionment of PM and PM is carried out using Chemical Mass Balance, Unmix, Positive Matrix Factorization and Principal Component Analysis receptor models. Results showed that traffic site had higher annual concentration (PM = 62 ± 32 and PM = 112 ± 23 µg m) when compared to residential site (PM = 54 ± 22 and PM = 98 ± 20 µg m). Al, Ca, Fe, K, and Mg known to have crustal origin dominated the element composition irrespective of PM size and sampling site. Among ions, SO accounted highest in both sites with an average of 70 and 60% to PM and PM ionic mass. Elemental carbon contribution to PM mass was found highest in traffic site (PM = 17 to 23% and PM = 8 to 10%) than residential site (PM = 9 to 17% and PM = 4 to 8%). Elements, ions, OC, and EC accounted 12, 28, 34, and 16% of PM mass and 12, 21, 20, and 8% of PM mass, respectively. Different sources identified by the receptor models are resuspended road dust, crustal material, secondary aerosol, traffic, non-exhaust vehicular emissions, secondary nitrate, construction, cooking, and biomass burning. Since Vellore is aspiring to be a smart city, this study can help the policymakers in effectively curbing PM.
本研究旨在评估韦洛尔市空气中粒径小于或等于10微米和2.5微米的颗粒物(PM₁₀和PM₂.₅)的质量、成分及来源。对在交通站点和居民区采集的季节性样本进行了离子、元素、有机碳(OC)和元素碳(EC)分析。采用化学质量平衡法、非混合法、正定矩阵因子分解法和主成分分析受体模型对PM₁₀和PM₂.₅进行源解析。结果表明,与居民区(PM₁₀ = 54 ± 22微克/立方米,PM₂.₅ = 98 ± 20微克/立方米)相比,交通站点的年浓度更高(PM₁₀ = 62 ± 32微克/立方米,PM₂.₅ = 112 ± 23微克/立方米)。已知具有地壳来源的铝、钙、铁、钾和镁在元素组成中占主导地位,与颗粒物大小和采样地点无关。在离子方面,两个站点中硫酸根离子占比最高,在PM₁₀和PM₂.₅离子质量中平均分别占70%和60%。发现交通站点中元素碳对PM质量的贡献高于居民区(PM₁₀中为17%至23%,PM₂.₅中为8%至10%,而居民区PM₁₀中为9%至17%,PM₂.₅中为4%至8%)。元素、离子、有机碳和元素碳分别占PM₁₀质量的12%、28%、34%和16%,占PM₂.₅质量的12%;21%、20%和8%。受体模型识别出的不同来源包括道路扬尘再悬浮、地壳物质、二次气溶胶、交通、非尾气排放、二次硝酸盐、建筑、烹饪和生物质燃烧。由于韦洛尔市立志成为智慧城市,本研究有助于政策制定者有效控制颗粒物污染。