潜在有毒元素(PTE)对水生生态系统构成重大威胁。本研究调查了PTE的含量和潜在来源(Cr,Mn,Ni,Cu,Zn,Cd,Pb)在水中,沉积物,和小江中的主要水生植物(黑藻和Spirogyravarians),位于贵州省柴营锰矿附近,中国。相关分析,主成分分析(PCA),采用聚类分析评估PTE分布和潜在来源。水PTE浓度符合Ⅱ类标准(GB3838-2002),表明没有水污染。然而,沉积物PTE水平超过背景值,特别是Mn,表现出中度到强烈的污染。Cd也显示中度污染,带来了相当大的生态风险。Cd是贡献率最高的主要潜在污染物。因此,Mn和Cd被确定为需要有针对性的减排策略的优先污染物。采矿活动可能是主要来源,但是车辆交通和农业的综合污染也可能有所贡献。与Spirogyravarians相比,黑藻显示出更高的沉积物中PTE富集能力。表明其对沉积物修复的潜力(铜除外)。两种植物种类与沉积物PTE含量之间存在显着相关性。PCA支持S.varians和沉积物PTE之间的关联。线性回归分析显示S.varians与沉积物Mn之间具有更好的相关性,Ni,Cu,和Zn(分别为0.77、0.68、0.82和0.79)。一起来看,这些发现表明,S.varians作为监测沉积物污染与PTE的有效生物指示剂。
Potentially toxic elements (PTEs) pose a significant threat to aquatic ecosystems. This study investigated the content and potential sources of PTEs (Cr, Mn, Ni, Cu, Zn, Cd, Pb) in water, sediment, and dominant aquatic plants (Hydrilla verticillata and Spirogyra varians) in the Xiaojiang River, located near the Zhaiying manganese mine in Guizhou Province, China. Correlation analysis, principal component analysis (PCA), and cluster analysis were employed to assess PTE distribution and potential sources. Water PTE concentrations complied with the Class II standard (GB3838-2002), indicating no water pollution. However, sediment PTE levels exceeded background values, particularly Mn, which exhibited moderate to strong contamination. Cd also showed moderate contamination, posing a considerable ecological risk. Cd was the main potential pollutant with the highest contribution rate. Mn and Cd were therefore identified as priority pollutants requiring targeted abatement strategies. Mining activities likely represent the primary source, but combined pollution from vehicle traffic and agriculture might also contribute. Hydrilla verticillata demonstrated a higher capacity for PTE enrichment from sediment compared to Spirogyra varians, suggesting its potential for sediment remediation (except for Cu). A significant correlation existed between both plant species and sediment PTE content. PCA supported the association between S. varians and sediment PTEs. Linear regression analyses revealed better correlations between S. varians and sediment Mn, Ni, Cu, and Zn (0.77, 0.68, 0.82, and 0.79, respectively). Taken together, these findings suggest that S. varians serves as an effective bioindicator for monitoring sediment contamination with PTEs.