Application of uncertainty theory to prediction and assessment of water quality in Three-Gorge Reservoir

被引:0
|
作者
Xu, M [1 ]
Zeng, GM
Huang, GH
Xie, GX
Paitoon, PT
Liu, HL
Xu, QG
机构
[1] Hunan Univ, Dept Environm Sci & Engn, Changsha 410082, Peoples R China
[2] Chinese Res Inst Environm Sci, Beijing 100012, Peoples R China
[3] Univ Regina, Fac Engn, Regina, SK S4S 0A2, Canada
关键词
finite element method; Uncertainty theory; Monte Carlo method; fuzzy set theory; risk assessment;
D O I
暂无
中图分类号
TF [冶金工业];
学科分类号
0806 ;
摘要
Two-dimensional stochastic model of complicated river water quality was established. This uncertainty model was effectively combined with the numerical calculation algorithm of finite element method and Monte Carlo method. The calculation production of water quality was assessed by applying probability distribution( Monte Carlo method) and fuzzy set theory. It is indicated that there exists the problem of bank pollution, especially near the effluent outlets; and upriver water quality has a significant impact on the whole Three-Gorge Reservoir; only 40% possibility can be obtained to make water quality meet Grade H of Surface Water Quality Standard (GB3838-2002). However, this possibility for bad water quality is also very small, only about 10% to meet Grade N standard.
引用
收藏
页码:135 / 141
页数:7
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