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简化一维水质模型在突发水污染事故模拟预测中的应用
引用本文:陈鼎豪, 郑文丽, 王骥, 林兴周, 冯立师, 陈思莉, 虢清伟. 简化一维水质模型在突发水污染事故模拟预测中的应用[J]. 环境工程学报, 2021, 15(10): 3199-3203. doi: 10.12030/j.cjee.202008013
作者姓名:陈鼎豪  郑文丽  王骥  林兴周  冯立师  陈思莉  虢清伟
作者单位:生态环境部华南环境科学研究所(生态环境部生态环境应急研究所),广州 510530
基金项目:中央级公益性科研院所基本科研业务费专项(PM-zx703-202104-071)
摘    要:传统水质模拟预测模型对突发水污染事故事发地的水文、水下地形等资料要求较高,在缺乏相应资料时会影响对水污染事故的可靠预测和预警。为解决问题,亟需建立在应急条件下能快速预测预警的简化水质模型。以传统一维水质模型为基础,通过人工测量河流沿程流速,自动插值获得流场以替代模型中对流场的求解,再求解一维对流扩散方程,以此获得简化的一维水质模拟预测模型。模拟计算结果表明,相对于传统水质模型,简化后一维水质预警模型可快速准确地预测突发水污染事故后污染态势。

关 键 词:突发水污染事故   简化一维水质模型   预测预警   模型简化   水环境应急
收稿时间:2020-08-10

Simplified one-dimensional water quality model for sudden water pollution accidents
CHEN Dinghao, ZHENG Wenli, WANG Ji, LIN Xingzhou, FENG Lishi, CHEN Sili, GUO Qingwei. Simplified one-dimensional water quality model for sudden water pollution accidents[J]. Chinese Journal of Environmental Engineering, 2021, 15(10): 3199-3203. doi: 10.12030/j.cjee.202008013
Authors:CHEN Dinghao  ZHENG Wenli  WANG Ji  LIN Xingzhou  FENG Lishi  CHEN Sili  GUO Qingwei
Affiliation:South China Institute of Environmental Sciences, Ministry of Ecology and Environment(Research Institute of Eco-environmental Emergency, Ministry of Ecology and Environment), Guangzhou 510530, China
Abstract:Because the traditional water quality simulation prediction model has high requirements for the hydrological and underwater topography data of the incident place, it has great limitations in the practical application due to the lack of corresponding data in response to sudden water pollution accidents, and it is unable to make reliable prediction and early warning of water pollution accidents. In order to meet the needs of rapid emergency disposal of water pollution accidents, a simplified one-dimensional water quality simulation and prediction model is obtained by measuring the flow velocity along the river manually instead of solving the flow field in the model. The simulation results show that compared with the traditional water quality model, the simplified one-dimensional water quality early warning model can quickly and accurately predict the pollution situation after sudden water pollution accidents.
Keywords:sudden water pollution accidents  simplified one dimensional water quality model  prediction and early warning  model simplification  water environment emergency
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