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Early Warning of Heavy Metal Pollution after Tailing Pond Failure Accident

Early Warning of Heavy Metal Pollution after Tailing Pond Failure Accident

作     者:Yonggui Wang Yinqun Yang Qiang Li Yaxin Zhang Xiaolong Chen Yonggui Wang;Yinqun Yang;Qiang Li;Yaxin Zhang;Xiaolong Chen

作者机构:Hubei Key Laboratory of Critical Zone EvolutionSchool of Geography and Information EngineeringChina University of GeosciencesWuhan 430074China Changjiang Water Resources Protection InstituteWuhan 430051China Beijing Tsinghua Holdings Human Settlements Environment InstituteBeijing 100083China 

出 版 物:《Journal of Earth Science》 (地球科学学刊(英文版))

年 卷 期:2022年第33卷第4期

页      面:1047-1055页

核心收录:

学科分类:083002[工学-环境工程] 0830[工学-环境科学与工程(可授工学、理学、农学学位)] 0819[工学-矿业工程] 081902[工学-矿物加工工程] 08[工学] 0708[理学-地球物理学] 

基  金:supported by the National Nature Science Foundation of China (No.41807471) the Fundamental Research Funds for the Central Universities,China University of Geosciences (Wuhan)(Nos.G1323519399 and 162301182698)。 

主  题:heavy metal pollution early warning tailing pond failure accident phase separation model 

摘      要:Heavy metal pollution is a major issue after tailing pond failure accident.It is important to predict pollution trends for limited data of pollution sources.A simple phase separation heavy metal model was built for early warning simulation of heavy metal pollution accidents.Based on this,a new simulation framework has been developed to predict the pollution trends of the downstream according to the measured data at upstream sections.By setting the upstream monitoring date as the inflow boundary condition,the changing processes of heavy metal manganese(Mn) with different phases in the downstream can be accurately simulated and forecasted.Results showed that the concentration of the suspended phase in the downstream was larger than that in the aqueous phase and sediment phase.With this,the early warning of pollution trends after accidents could be made a few days ahead.It indicates that the impact of sediment on heavy metal should not be ignored in the early warning of tailing pond failure accidents.

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