标题：Accurately early warning to water quality pollutant risk by mobile model system with optimization technology

作者： Wang, YG (Wang, Yonggui); Engel, BA (Engel, Bernard A.); Huang, PP (Huang, Panpan); Peng, H (Peng, Hong); Zhang, X (Zhang, Xiao); Cheng, ML (Cheng, Meiling); Zhang, WS (Zhang, Wanshun)

来源出版物：JOURNAL OF ENVIRONMENTAL MANAGEMENT 卷：208 页码:122-133 DOI：10.1016/j.jenvman.2017.12.006 出版年： FEB 15 2018

摘要：A fast and accurate water quality pollutant risk assessment and early warning system, which has great practical significance for decision making in accident management, is urgently needed for water protection and management. Based on a fast mobile early warning system named MEWSUB, this paper modified its framework to make it generate data more automatically and accurately. By adapting manning formula and particle swarm optimization (PSO) for parameters optimization, the accuracy of water quantity and water quality simulation results has been improved. The modified system was successfully applied in an antimony tailings dam leakage accident that happened in China. The coefficient of determination (R-2) of the prediction result was higher than 0.9 and relative error (ree) was less than 0.1, which indicated that the accuracy of MEWSUB was high enough for realistic water quality pollutant risk early warning.

入藏号： WOS:000424074000012

文献类型：Article

语种：English

作者关键词：Mobile model system; Early warning; Optimization; Water quality pollutant risk; Particle swarm optimization

扩展关键词： PARTICLE SWARM OPTIMIZATION; RIVER-BASIN; GENETIC ALGORITHM; GLOBAL OPTIMIZATION; WASTE-WATER; ANTIMONY; PARAMETER; REMOVAL; CHINA; CALIBRATION

通讯作者地址：Zhang, WS (通讯作者),Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Hubei, Peoples R China.

电子邮件地址：wszhang@whu.edu.cn

地址：

[Wang, Yonggui; Zhang, Xiao; Cheng, Meiling; Zhang, Wanshun] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Hubei, Peoples R China.

[Engel, Bernard A.; Huang, Panpan] Purdue Univ, Agr & Biol Engn, W Lafayette, IN 47907 USA.

[Peng, Hong] Wuhan Univ, Sch Water Resources & Hydropower Engn, Wuhan 430079, Hubei, Peoples R China.

影响因子：4.01