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.

本研究旨在通过多元地理研究与巴基斯坦开伯尔-普赫图赫瓦省哈亚塔巴德工业区 (HIEP) 和萨瓦比 (GIES) 的哈亚塔巴德工业区 (HIEP) 工业废水灌溉农业土壤相关的重金属污染和潜在生态风险因素。 - 统计工具。应用聚类分析 (HC) 和主成分分析 (PCA) 等多种统计工具以及地理统计方法来突出地源和人为污染源。结果表明，目标区域重金属浓度明显高于对照。两种土壤都具有显着至中度的重金属富集，而Gadoon土壤具有中度至显着的生态风险因素。地质积累指数（Igeo) 两种目标土壤（Gadoon 和 Hayatabad）中重金属的趋势相同。由于生产含铅产品的行业过多，这两个目标区域的铅浓度都属于污染极严重的类别。因此，本研究表明，导致研究区土壤污染的有毒重金属大部分来自工商业活动。