基于MIKE模型的北京重点河流突发水污染事件情景模拟研究

Based on the MIKE Model: Scenario Simulation Study of AbruptWater Pollution Accidents in Major Beijing Rivers

  • 摘要: 随着《国家“十四五”生态环境保护规划》的发布,加强环境风险预防预警成为当前环境保护工作的重点之一。北京作为中国的首都,境内河流众多,沿河分布着不少重点风险企业,加之跨河和沿河的危化品运输频繁,极易出现突发水污染事件。为应对这一挑战,本文选取密云水库上游的白河流域(北京段)作为研究对象,通过环境风险信息收集和实地勘测调查,系统获取风险源、风险受体、水文水质和水下地形等关键参数信息。进一步基于MIKE模型,构建白河流域突发水污染事件一维和二维水动力-水质耦合模拟模型。结合北京市环境风险防控的实际需求,开展一系列突发水污染事件情景模拟预测研究。研究成果可为突发水污染事件的预测预警工作提供技术支撑,有助于提升北京市应对突发水污染事件的能力,保障首都的水安全和生态环境安全。

     

    Abstract: With the release of the 14th Five-Year Plan for the Protection of Ecological Environment, strengthening environmental risk prevention and early warning has become a key focus of current environmental protection efforts. As the capital of China, Beijing has numerous rivers within its administrative boundaries, with many key risk enterprises distributed along them. Coupled with frequent cross-river and along-river transportation of hazardous chemicals, the area is highly susceptible to abrupt water pollution accidents. To address this challenge, this paper developed models to simulate these accidents in Baihe River, one of major tributary of Miyun reservoir. Through the collection of environmental risk information and field investigations, critical parameter information such as risk sources, risk receptors, hydrology and water quality, and underwater topography was systematically obtained. Furthermore, a one-dimensional and two-dimensional Hydrodynamic-water Quality Coupled Model (HQCM) was constructed for abrupt water pollution accidents in the Baihe River based on the MIKE Model. In conjunction with the practical needs of environmental risk prevention and control in Beijing, a couple of abrupt water pollution accident scenarios were simulated and analyzed using the HQCM. The resultant findings provide technical support for the prediction and early warning of abrupt water pollution accidents, which aims to help enhance the capacity to cope with abrupt water pollution accidents and ensure the water security and ecological environmental safety in Beijing.

     

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