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Risk assessment and prediction of heavy metal pollution in sediment of Biliuhe reservoir

机译：Biliuhe水库沉积物中重金属污染风险评估与预测

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The Biliuhe reservoir, which is one of the most important water sources in Dalian, is the "source of life" of Dalian. To explore the characteristics of heavy metal pollution in Biliuhe reservoir, the potential ecological risk of these heavy metal elements were evaluated by two methods, i.e. geo-accumulation index and potential ecological risk index, and the risk values of heavy metals in sediment were predicted one year later in the future by grey forecasting model GM (1, 1) and RBF neural network. The comprehensive assessment results showed that the pollution level in the reservoir was slight, Hg was the primary element with higher ecological risk while Cu was secondary. The forecasting results indicated that the predicted risk value of Hg was higher than others. The results were discussed in order to provide the theoretical basis for the management of the reservoir in the future. The models will be used widely in the field of ecological risk assessment of heavy metals in sediment, due to the simplification and maneuverability of them.
机译：Biliuhe水库是大连最重要的水源之一，是大连的“生命之源”。为了探讨Biliuhe储层中重金属污染的特征，通过两种方法评估了这些重金属元素的潜在生态风险，即地地地地地地地地地地地地地地地地地地地地地地地地球覆盖指数和潜在的生态风险指数，并预测了沉积物中重金属的风险值一年后，灰色预测模型GM（1,1）和RBF神经网络的未来。综合评估结果表明，储层中的污染水平轻微，Hg是铜次级的生态风险较高的主要元素。预测结果表明，HG的预测风险值高于其他风险。讨论了结果，以便为未来提供储层管理的理论依据。由于它们的简化和机动性，该模型将广泛用于沉积物中重金属的生态风险评估领域。

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