在大多数国家,土壤污染是危害生态的主要问题。As的总浓度,Cd,Co,Cr,Cu,Mn,Ni,Pb,VFe,和锌是通过分析沙特阿拉伯西南部32个表层土壤样品的土壤样品来测定的,包括巴哈的某些地区。Kriging技术用于创建金属分布图。为了评估研究区域的土壤污染水平,主成分分析(PCA),污染因子(CF),并使用污染负荷指数。结果表明,稳定模型对As和Zn半变异函数具有最佳拟合。圆形模型适合Cd,Co,Ni半变异函数最好,而指数模型适合Cr,V,和Fe半变异函数最好。对于Ni和Pb,分别,拟合球形和高斯模型。研究结果表明,两个簇含有不同的土壤重金属浓度。根据数据,研究区域有两种不同的污染水平:36.58%的污染严重,而其中63.41%的污染程度中等(这些金属的平均水平为5.28±5.83、0.81±0.19、18.65±6.22、45.15±23.25、60.55±23.74、972.30±223.50、33.45±14.11、10.05±5.13、84.15±30.72、97.40±30.05和43,245.00±42.95mg-1Cd,Co,Cr,Cu,Mn,Ni,Pb,V,Fe,Zn,分别)。研究领域的不良管理实践反映在当前的结果中,这提高了土壤表层有害元素的浓度。最终,污染浓度和空间分布图的结果可以帮助决策者制定合适的重金属缓解策略。
Soil contamination is a major issue that endangers the ecology in most countries. Total concentrations of As, Cd, Co, Cr, Cu, Mn, Ni, Pb, VFe, and Zn were determined by analyzing soil samples from 32 surface soil samples in southwest Saudi Arabia, including certain areas of Al-Baha. Kriging techniques were used to create maps of the distribution of metal. To assess the levels of soil contamination in the research area, principal component analysis (PCA), contamination factors (
CF), and pollution load index were used. The results show the stable model gave the best fit to the As and Zn semivariograms. The circular model fits the Cd, Co, and Ni semivariograms the best, while the exponential model fits the Cr, V, and Fe semivariograms the best. For Ni and Pb, respectively, spherical and Gaussian models are fitted. The findings demonstrated two clusters containing different soil heavy metal concentrations. According to the data, there were two different pollution levels in the research region: 36.58% of it is strongly contaminated, while 63.41% of it has a moderate level of contamination (with average levels of these metals 5.28 ± 5.83, 0.81 ± 0.19, 18.65 ± 6.22, 45.15 ± 23.25, 60.55 ± 23.74, 972.30 ± 223.50, 33.45 ± 14.11, 10.05 ± 5.13, 84.15 ± 30.72, 97.40 ± 30.05, and 43,245.00 ± 8942.95 mg kg-1 for As, Cd, Co, Cr, Cu, Mn, Ni, Pb, V, Fe, and Zn, respectively). The research area\'s poor management practices are reflected in the current results, which raised the concentration of harmful elements in the soil\'s surface layers. Ultimately, the outcomes of pollution concentration and spatial distribution maps could aid in informing decision-makers when creating suitable heavy metal mitigation strategies.