Neural network and Monte Carlo simulation approach to investigate variability of copper concentration in phytoremediated contaminated soils-Reference-Cited by-同舟云学术

Neural network and Monte Carlo simulation approach to investigate variability of copper concentration in phytoremediated contaminated soils

Published:2013-11 Issue: Volume:129 Page:134-142
ISSN:0301-4797
Container-title:Journal of Environmental Management
language:en
Short-container-title:Journal of Environmental Management

Author:

Hattab Nour,Hambli Ridha,Motelica-Heino Mikael,Mench Michel

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Waste Management and Disposal,General Medicine,Environmental Engineering

Reference39 articles.

1. A reappraisal of the Kalman filtering technique, as applied in river flow forecasting;Ahsam;Journal of Hydrology,1994

2. Spatial variability of soil pH and salinity under date palm cultivation;Al-Omran;The Research Center of the Faculty of Agriculture – King Saud University,2004

3. Spatial variation of plant communities and shoot Cu concentrations of plant species at a timber treatment site;Bes;Plant and Soil,2010

4. Selection of remedial alternatives for mine sites: a multicriteria decision analysis approach;Betrie;Journal of Environmental Management,2013

5. Prophecy, reality, and uncertainty in distributed hydrological modeling;Beven;Advances in Water Resources,1993

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