MONTE CARLO METHOD APPLIED TO COPPER TRANSPORT ASSESSMENT IN RIVER SEDIMENT

被引：0
|
作者：
Corazza, Marcela Z. [1 ]
Abrao, Taufik [2 ]
Oliveira, Elisabeth [3 ]
Gimenez, Sonia M. N. [1 ]
Santos Yabe, Maria Josefa [1 ]
机构：
[1] Univ Estadual Londrina, Dept Quim, BR-86051990 Londrina, Parana, Brazil
[2] Univ Estadual Londrina, Engn Eletr DEEL, BR-86051990 Londrina, Parana, Brazil
[3] Univ Sao Paulo IQ USP, BR-05508900 Sao Paulo, Brazil
来源：
CONSOIL 2008: THEME D - RISKS & IMPACTS, VOLS 1 AND 2 | 2008年
关键词：
Monte Carlo simulation; copper transport; sequential extraction; organic matter; pH; distribution coefficient;
D O I：
暂无
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
Monte Carlo simulation (MCS) methodology is applied to explain the variability of parameters in the transport and fate modelling of pollutants and used in this study to discuss the copper transport and fate in the sediment of the Tibagi river's sub basin tributaries. The statistical distribution of the variables was described based on a dataset obtained for copper concentration using sequential extraction, organic matter amount and pH. The stochastic model for copper transport in the river sediment was implemented by MCS technique through MatLab (TM) 7.3 mathematical software. Uniform statistical distributions were adopted for most of the input variables and of the internal variables to the model.
引用
收藏
页码：377 / +
页数：2
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