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| Content Provider | Springer Nature Link |
|---|---|
| Author | Corazza, Marcela Z. Abrão, Taufik Lepri, Fábio Grandis Gimenez, Sonia M. N. Oliveira, Elisabeth Santos, Maria Josefa |
| Copyright Year | 2012 |
| Abstract | Monte Carlo simulation (MCS) methodology has been applied to explain the variability of parameters for pollutant transport and fate modeling. In this study, the MCS method was used to evaluate the transport and fate of copper in the sediment of the Tibagi River sub-basin tributaries, Southern Brazil. The statistical distribution of the variables was described by a dataset obtained for copper concentration using sequential extraction, organic matter (OM) amount, and pH. The proposed stochastic spatial model for the copper transport in the river sediment was discussed and implemented by the MCS technique using the MatLab 7.3™ mathematical software tool. In order to test some hypotheses, the sediment and the water column in the river ecosystem were considered as compartments. The proposed stochastic spatial model makes it possible to predict copper mobility and associated risks as a function of the organic matter input into aquatic systems. The metal mobility can increase with the OM posing a rising environmental risk. |
| Starting Page | 1063 |
| Ending Page | 1079 |
| Page Count | 17 |
| File Format | |
| ISSN | 14363240 |
| Journal | Stochastic Environmental Research and Risk Assessment |
| Volume Number | 26 |
| Issue Number | 8 |
| e-ISSN | 14363259 |
| Language | English |
| Publisher | Springer-Verlag |
| Publisher Date | 2012-02-02 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Monte Carlo simulation Copper transport Sediment Organic matter pH Stochastic model Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Computational Intelligence Earth Sciences Probability Theory and Stochastic Processes Math. Application in Environmental Science Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution |
| Content Type | Text |
| Resource Type | Article |
| Subject | Environmental Chemistry Environmental Engineering Water Science and Technology Safety, Risk, Reliability and Quality |
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