Raymond Webrah Kazapoe , Daniel Kwayisi , Seidu Alidu , Obed Fiifi Fynn , Samuel Dzidefo Sagoe , Ebenezer Ebo Yahans Amuah , Emmanuel Nyavor
{"title":"加纳东北部南戈迪地区土壤中潜在有毒元素分布的模式和来源分配:一种多元和机器学习方法","authors":"Raymond Webrah Kazapoe , Daniel Kwayisi , Seidu Alidu , Obed Fiifi Fynn , Samuel Dzidefo Sagoe , Ebenezer Ebo Yahans Amuah , Emmanuel Nyavor","doi":"10.1016/j.hazadv.2025.100688","DOIUrl":null,"url":null,"abstract":"<div><div>This study assessed the sources, distribution and pollution status of heavy metals in the Nangodi area of North-western Ghana. Cr (120.86 mg/kg) and Co (30.92 mg/kg) had respective average values of 2.4 and 1.2 times higher than their Continental Crustal Averages of 100 mg/kg and 25 mg/kg. The Potential Toxic Elements (PTE) displayed a decreasing trend in the order Ba > Cr > V > Sr > Cu > Zn > Co > Mo. The Metal Index assessment highlighted the significant effect of galamsey on the soil health of the area. The samples were ranked as slightly (26.45 %), moderately (25.18 %), Strongly (21.20 %) and seriously (23.91 %) affected. The positive Matrix Factorization identified three Factors as controlling PTEs in the area. Factor 1/anthropogenic (V = 84 %, Cu = 84 %, Co = 75.5 % and Zn = 58.9 %). Factor 2/geogenic (Ba = 87.5 %, Sr = 83.1 %, Pb = 57.8 %). Factor 3/mixed source (Cr = 91.8 % and Mo = 43.4 %). The Pearson correlation matrix outlined two groups of PTEs; (1) PTEs with moderate to strong correlation (V, Co, Cu and Zn) and (2) PTEs with weak to moderate correlation (Sr, Mo, Ba and Pb). The first group occurs at the southwestern boundary of the study area, reflecting the influence of local geology and mining practices on the levels of potentially toxic elements (PTEs) in the soil. The Self Organising Map (SOM) identified three higher concentration clusters, V, Zn, Cu, and Co, inferred to be the mining activities. Geogenic-sourced Sr and Ba are located centrally. Pb, Mo, and Cr show distinct distributions, suggesting mixed factors affecting their spread. The study identified systematic heavy metal pollution, which could pose a deleterious risk to the environment and inhabitants of the area.</div></div>","PeriodicalId":73763,"journal":{"name":"Journal of hazardous materials advances","volume":"18 ","pages":"Article 100688"},"PeriodicalIF":5.4000,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Patterns and source apportionment of potentially toxic elements distribution in the soils of the Nangodi area, Northeast Ghana: A multivariate and machine learning approach\",\"authors\":\"Raymond Webrah Kazapoe , Daniel Kwayisi , Seidu Alidu , Obed Fiifi Fynn , Samuel Dzidefo Sagoe , Ebenezer Ebo Yahans Amuah , Emmanuel Nyavor\",\"doi\":\"10.1016/j.hazadv.2025.100688\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study assessed the sources, distribution and pollution status of heavy metals in the Nangodi area of North-western Ghana. Cr (120.86 mg/kg) and Co (30.92 mg/kg) had respective average values of 2.4 and 1.2 times higher than their Continental Crustal Averages of 100 mg/kg and 25 mg/kg. The Potential Toxic Elements (PTE) displayed a decreasing trend in the order Ba > Cr > V > Sr > Cu > Zn > Co > Mo. The Metal Index assessment highlighted the significant effect of galamsey on the soil health of the area. The samples were ranked as slightly (26.45 %), moderately (25.18 %), Strongly (21.20 %) and seriously (23.91 %) affected. The positive Matrix Factorization identified three Factors as controlling PTEs in the area. Factor 1/anthropogenic (V = 84 %, Cu = 84 %, Co = 75.5 % and Zn = 58.9 %). Factor 2/geogenic (Ba = 87.5 %, Sr = 83.1 %, Pb = 57.8 %). Factor 3/mixed source (Cr = 91.8 % and Mo = 43.4 %). The Pearson correlation matrix outlined two groups of PTEs; (1) PTEs with moderate to strong correlation (V, Co, Cu and Zn) and (2) PTEs with weak to moderate correlation (Sr, Mo, Ba and Pb). The first group occurs at the southwestern boundary of the study area, reflecting the influence of local geology and mining practices on the levels of potentially toxic elements (PTEs) in the soil. The Self Organising Map (SOM) identified three higher concentration clusters, V, Zn, Cu, and Co, inferred to be the mining activities. Geogenic-sourced Sr and Ba are located centrally. Pb, Mo, and Cr show distinct distributions, suggesting mixed factors affecting their spread. 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引用次数: 0
摘要
本研究评估了加纳西北部南戈迪地区重金属的来源、分布和污染状况。Cr (120.86 mg/kg)和Co (30.92 mg/kg)的平均值分别是大陆地壳平均值(100 mg/kg和25 mg/kg)的2.4和1.2倍。潜在有毒元素(PTE)呈递减趋势,顺序为Ba >;Cr祝辞V比;老的在铜比;锌比;公司在金属指数评估强调了galamsey对该地区土壤健康的重大影响。受影响程度依次为轻度(26.45%)、中度(25.18%)、重度(21.20%)和重度(23.91%)。正矩阵分解确定了控制该地区pte的三个因素。因子1/人为因素(V = 84%, Cu = 84%, Co = 75.5%, Zn = 58.9%)。因子2/地质(Ba = 87.5%, Sr = 83.1%, Pb = 57.8%)。因子3/混合源(Cr = 91.8%, Mo = 43.4%)。Pearson相关矩阵概述了两组pte;(1)相关性中至强的pte (V、Co、Cu和Zn)和(2)相关性弱至中等的pte (Sr、Mo、Ba和Pb)。第一组出现在研究区的西南边界,反映了当地地质和采矿实践对土壤中潜在有毒元素(pte)水平的影响。自组织图(SOM)确定了三个较高浓度的集群,V, Zn, Cu和Co,推断为采矿活动。地质来源的锶和钡位于中心。Pb、Mo、Cr分布明显,表明影响其扩散的因素是混合的。该研究确定了系统性的重金属污染,这可能对该地区的环境和居民构成有害的风险。
Patterns and source apportionment of potentially toxic elements distribution in the soils of the Nangodi area, Northeast Ghana: A multivariate and machine learning approach
This study assessed the sources, distribution and pollution status of heavy metals in the Nangodi area of North-western Ghana. Cr (120.86 mg/kg) and Co (30.92 mg/kg) had respective average values of 2.4 and 1.2 times higher than their Continental Crustal Averages of 100 mg/kg and 25 mg/kg. The Potential Toxic Elements (PTE) displayed a decreasing trend in the order Ba > Cr > V > Sr > Cu > Zn > Co > Mo. The Metal Index assessment highlighted the significant effect of galamsey on the soil health of the area. The samples were ranked as slightly (26.45 %), moderately (25.18 %), Strongly (21.20 %) and seriously (23.91 %) affected. The positive Matrix Factorization identified three Factors as controlling PTEs in the area. Factor 1/anthropogenic (V = 84 %, Cu = 84 %, Co = 75.5 % and Zn = 58.9 %). Factor 2/geogenic (Ba = 87.5 %, Sr = 83.1 %, Pb = 57.8 %). Factor 3/mixed source (Cr = 91.8 % and Mo = 43.4 %). The Pearson correlation matrix outlined two groups of PTEs; (1) PTEs with moderate to strong correlation (V, Co, Cu and Zn) and (2) PTEs with weak to moderate correlation (Sr, Mo, Ba and Pb). The first group occurs at the southwestern boundary of the study area, reflecting the influence of local geology and mining practices on the levels of potentially toxic elements (PTEs) in the soil. The Self Organising Map (SOM) identified three higher concentration clusters, V, Zn, Cu, and Co, inferred to be the mining activities. Geogenic-sourced Sr and Ba are located centrally. Pb, Mo, and Cr show distinct distributions, suggesting mixed factors affecting their spread. The study identified systematic heavy metal pollution, which could pose a deleterious risk to the environment and inhabitants of the area.