The spatial-temporal changing characteristics and potential ecological risk combined with local policies and industrial status were analyzed. The metal contamination was studied by sediment quality guidelines (SQGs), potential ecological risk index (PERI), and geoaccumulation index (I ) of metals (Hg, Cr, Cd, As, Pb, and Cu) in the sediments of Xiaoqing River in Jinan from 1996 to 2014. Results showed that the concentrations of metals were in fluctuation and had a decreasing trend in the past 19 years, which was influenced by industry and policy. The concentrations of metals from upstream to downstream presented a change from low to high and then a gradual decrease which were mainly related to anthropogenic activities. The assessment suggested that Hg presented the highest levels of I and was the largest contributor to RI, while Cd was the second contributor. This finding indicated that Hg and Cd had a strong effect on potential ecological risk. Damatou had the largest pollution level and potential ecological risk, whereas Mulizhuang was the least polluted area. SQGs indicated that Cd was below the TEC while it was the second contributor to potential ecological risk. Indeed, the pollution control of Xiaoqing River had a certain effect, but it needs long-term effective management measures and a strengthened source control. The suggestions of targeted management have been proposed in the paper.
The concentrations of eight heavy metals (Cr, Hg, As, Pb, Cd, Cu, Zn, Ni) in six river sediment samples were collected for evaluation of the degree of the heavy metals pollution distribution and ecological risk of three main rivers' sediments in Jinan. Multivariate statistical techniques were used to determine the most common pollution sources. The results illustrated that all of the metals in Damatou and Xinfengzhuang sections of the Xiaoqing River were much higher than the background value, and the level of potential ecological risk index was very high. The remaining four sections had a low or moderate degree of ecological risk. Principal component analysis (PCA) showed that all metals, with the exception of As, formed the first component explaining 86.85% of the total variance and industry sources could be considered as the first component, while As alone could be the second component, representing agricultural source. The elements Cr and Zn were grouped together while the remaining six metals formed a separate category. Among all heavy metals, Hg and Cd were the most significant contributors to the pollution. Therefore, the prevention of pollution should pay more attention to controlling the sources, especially Hg and Cd.
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