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Calculation Method for the Early Warning Index of Sudden Water Pollution Based on the Linear Variation Assumption of the Substance Concentration in the River Network

机译:基于河北地区物质浓度的线性变化假设突发水污染预警指标的计算方法

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摘要

Based on the linear variation assumption of the substance concentration, a water quality model is reconstructed, and an early warning model coupled with the river network hydrodynamics and water quality for conventional pollutants and conservative substances is further developed. This paper proposes a new method for calculating the early warning of conventional sudden water pollution accidents, and numerical tests under accidental scenarios are carried out to verify the feasibility of the method. Finally, the influencing factors of the early warning index calculation are analysed, the diffusion errors under two assumptions are compared, and the following conclusions are obtained: (a) the spatial differences in the calculation results of the early warning indexes are mainly caused by the transport path and speed of the accidental pollutants in the river network and the background concentration of the accidental pollutants at sensitive receptors; (b) The numerical diffusion error and the attenuation effect during the transport process of the substance brought by the linear variation assumption is smaller than those of the sufficient mixing assumption; and (c) the linear variation assumption is favourable for prolonging the response time to control the impact from the accident, shortening the duration of the accident impact and decreasing the maximum standard-exceeding multiple of the water quality.
机译:基于物质浓度的线性变化假设,重建了水质模型,进一步开发了一种与河流水动力学和水质的预警模型进行了进一步发展。本文提出了一种新方法,用于计算常规突然水污染事故的预警,并进行了意外场景下的数值测试,以验证该方法的可行性。最后,分析了预警指标计算的影响因素,比较了两个假设下的扩散误差,获得了以下结论:(a)预警指标的计算结果的空间差异主要是由河流网络中意外污染物的运输路径和速度及敏感受体意外污染物的背景浓度; (b)数值扩散误差和线性变化假设带来的物质的运输过程中的衰减效果小于足够混合假设的物质; (c)线性变化假设有利于延长响应时间来控制事故的影响,缩短事故影响的持续时间并降低水质的最大标准倍数。

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