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The system dynamics based research of water quality simulation in the Songhua River water pollution accident

机译:基于系统动态的松花江水污染事故水质模拟研究

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System dynamics is well suited for studying dynamic nonlinear complex systems. In this paper, system dynamics was applied to rapid-onset water pollution accidents using a one-dimensional water quality simulation model.The on-the-spot monitored data in the Songhua river water pollution accident were used for model parameters calibration and model validation. Dynamic simulations on the processes of convection, dispersion, and degradation (due to chemical reaction and biological absorption) were carried out to (1) characterize the changes in concentration of the typical pollutant nitrobenzene in the river, (2) forecast the changes in pollutant concentration at downstream sections, and (3) adjust the model with different parameter settings. The results show that (1) water quality simulation models can be built with system dynamics quickly and effectively, and (2) such models can provide decision-makers with quantitative information to optimize the forecast of rapid-onset water pollution accidents and the related emergency response measures.
机译:系统动态非常适合于研究动态非线性复杂系统。本文采用一维水质仿真模型应用了系统动力学对快速发作水污染事故。松花江水污染事故中的现场监测数据用于模型参数校准和模型验证。对对流,分散和降解过程(由于化学反应和生物吸收)进行动态模拟(1)表征河流中典型污染物硝基苯的浓度变化,(2)预测污染物的变化在下游部分浓度,(3)用不同的参数设置调整模型。结果表明,(1)水质仿真型号可以快速有效地用系统动力学构建,(2)这种型号可以为决策者提供定量信息,以优化快速发作水污染事故和相关紧急情况的预测响应措施。

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