Monte Carlo method applied to modeling copper transport in river sediments

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...

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Bibliographic Details
Published in:Stochastic environmental research and risk assessment 2012-12, Vol.26 (8), p.1063-1079
Main Authors: Corazza, Marcela Z., Abrão, Taufik, Lepri, Fábio Grandis, Gimenez, Sonia M. N., Oliveira, Elisabeth, Santos, Maria Josefa
Format: Article
Language:English
Subjects:
Aquatic ecosystems
Aquatic environment
Aquatic Pollution
Chemistry and Earth Sciences
Computational Intelligence
Computer Science
Copper
Earth and Environmental Science
Earth Sciences
Environment
Environmental risk
Fluvial sediments
Math. Appl. in Environmental Science
Monte Carlo simulation
Organic matter
Original Paper
Physics
Pollution dispersion
Probability Theory and Stochastic Processes
River basins
Rivers
Sediment transport
Statistics for Engineering
Waste Water Technology
Water column
Water Management
Water Pollution Control
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Summary: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.
ISSN:1436-3240
1436-3259
DOI:10.1007/s00477-012-0564-2