Nazzal Yousef, Bărbulescu Alina, Howari Fares, Al-Taani Ahmed A, Iqbal Jibran, Xavier Cijo M, Sharma Manish, Dumitriu Cristian Ștefan
College of Natural Health and Health Sciences, Zayed University, Abu Dhabi P.O. Box 144534, United Arab Emirates.
Department of Civil Engineering, Transilvania University of Brașov, 5 Turnului Str., 900152 Brașov, Romania.
Toxics. 2021 Apr 25;9(5):95. doi: 10.3390/toxics9050095.
The aim of this study was twofold. Firstly, we performed a land capability class determination of the agricultural soils from the Abu Dhabi Emirate, the United Arab Emirates, based on the concentrations of 17 chemical elements determined in the soil samples collected from 84 locations. Secondly, we assess the soil pollution with different metals, using several pollution indices. The results of Principal Component Analysis (PCA) shows that four principal components (PCs) are responsible for describing the total metals concentrations' variance, the highest contribution on PC1 being that of Mn, and Cr, on PC2 that of Fe, on PC3 that of Cu, and on PC4 that of Al. After determining the optimal number of clusters, we classified the sites into three clusters, while the studied metals were grouped function on their concentrations. Then, we used five indices to assess the pollution level of the soil at the study sites and in the clusters. The geo-accumulation index (I) indicates uncontamination/moderately contamination with Cu in cluster 1, uncontaminated/moderately contaminate soils with Cd, Cu, and Ni in cluster 2, and uncontaminated/moderately contaminated soil with Cu and moderately contaminated with Pb, Zn, and Ni in cluster 3. By comparison, the enrichment factors overestimate the pollution of the studied sites. The pollution load index (PLI) indicates a baseline level of pollution at 14 sites and the deterioration of the soil quality at four sites. The Nemerow pollution index provides similar results as PLI.
本研究的目的有两个。首先,我们基于从阿拉伯联合酋长国阿布扎比酋长国84个地点采集的土壤样本中测定的17种化学元素浓度,对农业土壤进行土地能力分类测定。其次,我们使用几种污染指数评估不同金属对土壤的污染情况。主成分分析(PCA)结果表明,四个主成分(PCs)负责描述总金属浓度的方差,PC1上贡献最大的是Mn和Cr,PC2上是Fe,PC3上是Cu,PC4上是Al。在确定最佳聚类数后,我们将这些地点分为三个聚类,同时根据研究金属的浓度对其进行分组。然后,我们使用五个指数评估研究地点和聚类中土壤的污染水平。地累积指数(I)表明,聚类1中Cu未受污染/轻度污染,聚类2中Cd、Cu和Ni的土壤未受污染/轻度污染,聚类3中Cu的土壤未受污染/轻度污染,Pb、Zn和Ni的土壤中度污染。相比之下,富集因子高估了研究地点的污染程度。污染负荷指数(PLI)表明14个地点的污染处于基线水平,4个地点的土壤质量恶化。内梅罗污染指数提供了与PLI类似的结果。