Literature DB >> 30635736

Assessment of trace elements in urban topsoils of Rawalpindi-Pakistan: a principal component analysis approach.

Muhammad Tahir Shehzad1,2, Ghulam Murtaza3, Muhammad Shafeeque4, Muhammad Sabir3, Haq Nawaz3, Muhammad Jamal Khan5.   

Abstract

Assessment of trace elements is inevitable to reduce stress on environment due to urbanization and industrialization. Rawalpindi, the fourth largest city of Pakistan, rapidly moving towards industrialization and has a large number of automobiles. In the present study, the urban area of Rawalpindi was divided into five parts: Gawal Mandi, Pir Wadhai, Soan Adda, Chah Sultan, and Central Ordinance Depot (COD), to determine distribution of trace elements. Soil samples were collected from 5 to 20 cm depth. After drying and sieving, samples were digested using di-acid (HNO3 and HClO4 at 2:1). Concentrations of heavy metals were determined using atomic absorption spectrophotometer (AAS). Principal component analysis (PCA) was performed to reduce multidimensional space of variables and samples. Observed mean concentrations of Cd, Co, Cr, Cu, Mn, Ni, Pb, and Zn were 164, 33.4, 295, 336, 634, 236, 1572, and 546 mg kg-1, respectively. Mean concentrations of all the heavy metals in urban area soil were higher than the WHO permissible limits. Correlation coefficient analysis showed positive correlation among Cd, Co, Cu, Ni, and Pb, whereas no obvious correlation for Cr and Mn was found with any other heavy metal. Zn was positively correlated with Co, Ni, and Mn, whereas negative correlation was found with Cr. Results showed that Pir Wadhai and COD were the most and least contaminated parts of the city, respectively, and this is attributed to the presence and absence of heavy traffic loads and industrial effluents. Graphical abstract ᅟ.

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Keywords:  Correlation coefficient analysis; Di-acid digestion; Heavy metal; Principal component analysis

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Year:  2019        PMID: 30635736     DOI: 10.1007/s10661-019-7212-y

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  4 in total

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Authors:  Huaming Du; Xinwei Lu
Journal:  Sci Rep       Date:  2022-06-21       Impact factor: 4.996

3.  Pollution Source Apportionment and Water Quality Risk Evaluation of a Drinking Water Reservoir during Flood Seasons.

Authors:  Guoshuai Qin; Jianwei Liu; Shiguo Xu; Ya Sun
Journal:  Int J Environ Res Public Health       Date:  2021-02-15       Impact factor: 3.390

4.  Simultaneous removal of multiple heavy metals from soil by washing with citric acid and ferric chloride.

Authors:  Jiyan Shi; Jingli Pang; Qinglin Liu; Yating Luo; Jien Ye; Qiao Xu; Bibo Long; Binhui Ye; Xiaofeng Yuan
Journal:  RSC Adv       Date:  2020-02-19       Impact factor: 4.036

  4 in total

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