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Water Pollution Prediction in the Three Gorges Reservoir Area and Countermeasures for Sustainable Development of the Water Environment

机译:三峡库区水污染预测及水环境可持续发展对策。

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摘要

The Three Gorges Project was implemented in 1994 to promote sustainable water resource use and development of the water environment in the Three Gorges Reservoir Area (hereafter “Reservoir Area”). However, massive discharge of wastewater along the river threatens these goals; therefore, this study employs a grey prediction model (GM) to predict the annual emissions of primary pollution sources, including industrial wastewater, domestic wastewater, and oily and domestic wastewater from ships, that influence the Three Gorges Reservoir Area water environment. First, we optimize the initial values of a traditional GM (1,1) model, and build a new GM (1,1) model that minimizes the sum of squares of the relative simulation errors. Second, we use the new GM (1,1) model to simulate historical annual emissions data for the four pollution sources and thereby test the effectiveness of the model. Third, we predict the annual emissions of the four pollution sources in the Three Gorges Reservoir Area for a future period. The prediction results reveal the annual emission trends for the major wastewater types, and indicate the primary sources of water pollution in the Three Gorges Reservoir Area. Based on our predictions, we suggest several countermeasures against water pollution and towards the sustainable development of the water environment in the Three Gorges Reservoir Area.
机译:三峡项目于1994年实施,以促进三峡水库地区(以下简称“水库地区”)的水资源可持续利用和水环境的发展。然而,沿河的大量废水威胁着这些目标。因此,本研究采用灰色预测模型(GM)来预测影响三峡库区水环境的主要污染源的年排放量,包括工业废水,生活废水以及船舶的含油和生活废水。首先,我们优化传统GM(1,1)模型的初始值,并建立一个新的GM(1,1)模型,该模型最大程度地减小了相对模拟误差的平方和。其次,我们使用新的GM(1,1)模型来模拟四个污染源的历史年度排放数据,从而测试该模型的有效性。第三,我们预测三峡水库库区未来四种污染源的年排放量。预测结果揭示了主要废水类型的年排放趋势,并指出了三峡库区的主要水污染源。根据我们的预测,我们提出了三峡水库地区针对水污染和水环境可持续发展的若干对策。

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