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Multivariate geo-statistical perspective: evaluation of agricultural soil contaminated by industrial estate’s effluents

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Abstract

Present study was carried out to explore heavy metals pollution and potential ecological risk factors associated with agriculture soil irrigated with industrial effluents of Hayatabad industrial estate, Peshawar (HIEP) and Gadoon industrial estate, Sawabi (GIES) of Khyber-Pakhtunkhwa, Pakistan through multivariate geo-statistical tools. Diverse statistical tools like cluster analysis (HC) and principal component analysis (PCA), along with geo-statistical approaches were applied to highlight the geogenic and anthropogenic sources of pollution. The results indicated that concentration of heavy metals in target areas was significantly higher than control. Both soils had significant to moderate enrichment of heavy metals, while Gadoon soil had moderate to considerable ecological risk factor. The geo accumulation indices (Igeo) tendency for heavy metals in both target soil (Gadoon and Hayatabad) were the same. The Pb concentration of both target areas falls in the extremely severely polluted category because of the excessive presence of industries producing lead-containing products. Hence, this study indicated that the majority of toxic heavy metals contributed to soil pollution in the studied areas are coming from industrial and commercial activities.

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Funding

The current study was fully supported by higher education commission, Pakistan through research grant number 20–4372.

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M.J., wrote the manuscript, author was involved in planning and supervised the work, the main conceptual ideas and proof outline; I.J. and M.F. carried out the experiment; M.M.A., Author helped in performing the experiments; S.U.R. and M. D. K., authors provided critical feedback and helped to shape the research; E.S.R., author provided critical feedback.

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Correspondence to Muhammad Jamil.

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Jamil, M., Malook, I., Rehman, S.U. et al. Multivariate geo-statistical perspective: evaluation of agricultural soil contaminated by industrial estate’s effluents. Environ Geochem Health 44, 57–68 (2022). https://doi.org/10.1007/s10653-021-01007-9

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