
Wednesday, December 5, 2007 : 10:00 a.m.
Stochastic Modeling of Ground Water Level Fluctuations
Multiple inputs-single output (ground water level) models were developed based on a Time Series Analysis and an Artificial Neural Networks methodology. The developed models were used to evaluate the amount of allowable water withdrawals and its potential effect on the sustainable water management in the watershed.
Kaz Adamowski, Ph.D., University of Ottawa Kaz Adamowski, Ph.D., P.Eng., is a professor (Ret.) of Civil Engineering at the University of Ottawa, Canada. He obtained his Ph.D. from the University of Guelph (Canada) in 1969. His research interests are in the area of Hydrology and Water Resources. He has published over 163 journal articles in hydrology, climate change, groundwater, extreme events analysis, and urban water demand. He was the lead author to write two chapters in the “WMO Guide to Hydrological Practices” for World Meteorological Organization, Geneva, Switzerland .