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Mathematical Modeling of Leachates from ash ponds of Thermal Power Plants

IR@CIMFR: CSIR-Central Institute of Mining and Fuel Research, Dhanbad

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Title Mathematical Modeling of Leachates from ash ponds of Thermal Power Plants
 
Creator Kumar, Ritesh
Sundararajan, M.
 
Subject Beach Placer Mining
 
Description The present study describes the development of empirical models for the prediction of various trace metals i.e., Mn, Cu, Fe, Zn and Pb found in the leachates generated from the ash ponds of various thermal power plants. The dispersion phenomenon of these trace metals followed first order reaction rate kinetics. The empirical models for individual trace metals derived from the lab scale models data correlate well with the real field data with regression coefficients varying from 0.93 to 0.98. The predicted concentrations of the trace metals varied within T3% of the observed values in the leachates generated from the ash ponds of four thermal power plants with standard deviation varying from 0.001 to 0.032. The empirical models derived from the study can be applied for prediction of trace metals in leachates generated from similar thermal power plants.
 
Publisher Springer
 
Date 2007
 
Type Article
PeerReviewed
 
Format application/pdf
 
Identifier http://cimfr.csircentral.net/195/1/1.pdf
Kumar, Ritesh and Sundararajan, M. (2007) Mathematical Modeling of Leachates from ash ponds of Thermal Power Plants. Environmental Monitoring and Assessment , 130. pp. 173-185. ISSN 0167-6369
 
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http://cimfr.csircentral.net/195/