Assessment of pollution in roadside soils by using multivariate statistical techniques and contamination indices

被引:0
作者
Rajneesh Kumar
Vinod Kumar
Anket Sharma
Navdeep Singh
Rakesh Kumar
Jatinder Kaur Katnoria
Renu Bhardwaj
Ashwani Kumar Thukral
Jesús Rodrigo-Comino
机构
[1] DAV University,Department of Botany
[2] Guru Nanak Dev University,Department of Botanical and Environmental Sciences
[3] Instituto de Geomorfología y Suelos,Department of Geography
[4] University of Málaga,undefined
来源
SN Applied Sciences | 2019年 / 1卷
关键词
Heavy metals; Cluster analysis; Principal component analysis; Ecological risk assessment;
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中图分类号
学科分类号
摘要
Pollution of roadside soils by heavy metals (HMs) presents serious concern throughout the world and, specifically, in India, due to the increasing traffic and anthropogenic activities. Understanding this problematic, policymakers and land managers will be able to design correct and sustainable land plans to avoid human health problems. The current study was conducted in order to determine the sources and levels of contamination by physiochemical parameters and HMs (Cu, Co, Cr and Pb) in roadside soils of Jalandhar, Punjab. A total of 90 samples were collected in triplicates from different sites and analysed for physiochemical and heavy metals. The average values of Cu, Co, Cr and Pb were found less than the permissible limits of Indian soils. Pearson’s correlation analysis indicated that HMs are positively correlated with each other, indicating a similar source of their origin. Further results of correlation analysis were supported by cluster analysis and Principal component analysis also indicated that HMs have the same source of origin mainly anthropogenic (agricultural and transportation activities), while soil properties have the same source of origin. The results of contamination factor, geo-accumulation index, potential contamination index, pollution index and ecological risk index showed that soils are moderately contaminated by HMs. In the future, further research would be needed to understand which specific factor (agriculture, industry and urban residues) could be considered as the main driving factor. We conclude that this study can provide the baseline data for policymakers and stakeholders to help the protection of soil ecosystem.
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[1]  
Hu J(2013)Phytoavailability and phytovariety codetermine the bioaccumulation risk of heavy metal from soils, focusing on Cd-contaminated vegetable farms around the Pearl River Delta, China Ecotoxicol Environ Saf 91 18-24
[2]  
Wu F(2019)Pollution assessment and spatial distribution of roadside agricultural soils: a case study from India Int J Environ Health Res 18 1-4
[3]  
Wu S(2019)Assessment of soil properties from catchment areas of Ravi and Beas rivers: a review Geol Ecol Land 3 149-157
[4]  
Sun X(2019)Pollution assessment of heavy metals in soils of India and ecological risk assessment: a state-of-the-art Chemosphere 44 193-202
[5]  
Lin X(2016)Heavy metals in road deposited sediments and road dusts of Colombo Capital, Sri Lanka J Natl Sci Found Sri Lanka 23 21262-21272
[6]  
Wong MH(2016)Highway increases concentrations of toxic metals in giant panda habitat Environ Sci Pollut Res 168 1658-1668
[7]  
Dogra N(2017)Source apportionment and health risk assessment of heavy metals in soil for a township in Jiangsu Province, China Chemosphere 190 48-7
[8]  
Sharma M(2018)Heavy metal concentrations in roadside soil and street dust from Petra region, Jordan Environ Monit Assess 11 1-2181
[9]  
Sharma A(2018)Ecological risk assessment and source apportionment of heavy metal contamination in agricultural soils of Northeastern Iran Int J Environ Res Public Health 24 2162-335
[10]  
Keshavarzi A(2019)Spatial distribution and potential ecological risk assessment of heavy metals in agricultural soils of Northeastern, Iran Geol Ecol Land 197 325-1383