Short Courses

Register online or use the conference registration form to register fr either of these two pre-conference workshops. The course fee is $250 for either workshop; save $50 by registering before April 21, 2006. This fee includes lunch, coffee breaks, and all course materials.

Treatment of Uncertainty in Water Resource Modeling and Analysis

Presenter: Srikanta Mishra, Ph.D., Senior Engineer and Project Manager, Intera Inc., Austin, TX, and Adjunct Professor at the University of Texas at Austin

Scientists and engineers dealing with water resources are often confronted with uncertainty caused by incomplete knowledge and/or natural randomness. Traditional deterministic modeling of uncertainty in water resource models often involves the use of best-guess or worst-case assumptions about model inputs to quantify their impacts on model predictions. Alternatively, a set of optimistic and pessimistic values is sometimes utilized to provide upside and downside forecasts around a reference scenario.

Recently, there has been greater interest in the use of probabilistic uncertainty analysis methods, which allow a better definition of the range of likely outcomes and the likelihood of each outcome. This workshop will provide an introduction to several such methodologies including Monte Carlo simulation, analytical error propagation techniques, and probability/logic tree analysis method.

Curve Number Rainfall-Runoff: Professional Application

Presenters: Richard H. Hawkins, Professor of Watershed Resources, University of Arizona, and Donald E. Woodward, Natural Resources Conservation Service (retired)

The Curve Number Method is widely used in applied hydrology and environmental impact analysis. Because of its authority, unique technological niche, and transparency, it is the premier technique for converting event rainfall into direct runoff. It finds wide application in rainfall response for ungaged watersheds, and as a process component in continuous models. It is, however, incompletely understood, often misused or misapplied, and realizations for applications and developments beyond the original handbook are not generally appreciated.

This short course will provide an open factual background on the Curve Number Method: origins and assumption, limits of applications, and recent findings, leading to more informed professional application of the method. Its role in understanding general rainfall-runoff hydrology will be explored and discussed. The workshop includes active, open discussion with peers and the presenters.


Submit Final Paper Registration OPEN Congress pre-program Technical program Welcome Topics Conference Overview Speaker/Moderator Sponsorship Opportunities Exhibits Cooperating Organizations Omaha & Travel Hotels International Attendees Short Courses Special for Students Special Events Tours Committee Meetings Organizing Committee Conference Home EWRI Home ASCE Home Other Conference Home		Short Courses Register online or use the conference registration form to register fr either of these two pre-conference workshops. The course fee is $250 for either workshop; save $50 by registering before April 21, 2006. This fee includes lunch, coffee breaks, and all course materials. Treatment of Uncertainty in Water Resource Modeling and Analysis Presenter: Srikanta Mishra, Ph.D., Senior Engineer and Project Manager, Intera Inc., Austin, TX, and Adjunct Professor at the University of Texas at Austin Scientists and engineers dealing with water resources are often confronted with uncertainty caused by incomplete knowledge and/or natural randomness. Traditional deterministic modeling of uncertainty in water resource models often involves the use of best-guess or worst-case assumptions about model inputs to quantify their impacts on model predictions. Alternatively, a set of optimistic and pessimistic values is sometimes utilized to provide upside and downside forecasts around a reference scenario. Recently, there has been greater interest in the use of probabilistic uncertainty analysis methods, which allow a better definition of the range of likely outcomes and the likelihood of each outcome. This workshop will provide an introduction to several such methodologies including Monte Carlo simulation, analytical error propagation techniques, and probability/logic tree analysis method. Curve Number Rainfall-Runoff: Professional Application Presenters: Richard H. Hawkins, Professor of Watershed Resources, University of Arizona, and Donald E. Woodward, Natural Resources Conservation Service (retired) The Curve Number Method is widely used in applied hydrology and environmental impact analysis. Because of its authority, unique technological niche, and transparency, it is the premier technique for converting event rainfall into direct runoff. It finds wide application in rainfall response for ungaged watersheds, and as a process component in continuous models. It is, however, incompletely understood, often misused or misapplied, and realizations for applications and developments beyond the original handbook are not generally appreciated. This short course will provide an open factual background on the Curve Number Method: origins and assumption, limits of applications, and recent findings, leading to more informed professional application of the method. Its role in understanding general rainfall-runoff hydrology will be explored and discussed. The workshop includes active, open discussion with peers and the presenters.