Water Resources Introduction

The Water Resources Engineering group in the Department of Civil Engineering at the University of Manitoba is nationally and internationally recognized for its research and innovations in the fields of Hydraulics, Hydrology, and Systems Analysis.  A well-designed program of technical courses is offered each year to our graduate and senior undergraduate students to understand these fields of study from basic concepts to the state-of-the-art applications.

Our current research focus is to address a wide-rage of water issues in Canada and more specifically in the Prairies. In the field of Hydraulics, our group hosts the NSERC/Manitoba Hydro Industrial Research Chair in River Ice Engineering. We have one of the most advanced laboratories in Canada, the Hydraulics Research & Testing Facility (HRTF), where we build and test scaled physical models and conduct fundamental research. We also conduct field studies and advanced numerical modeling to better understand the hydrodynamics, river morphology and river ice processes of different water bodies in Manitoba. In the field of Hydrology, we are conducting research in advanced statistical methods for investigating drought frequency, climate trends, and climatic teleconnections in Canada. We are also developing watershed models of the Nelson River and Hudson Bay drainage basins, a watershed system that drains one third of the Canadian landmass. Our group also leads the development of Canadian regional isotope sampling networks and coupled isotope hydrologic modeling. In the field of Systems Analysis, these models are calibrated by means of optimization, sensitivity, and uncertainty tools to estimate the precipitation-runoff relationship in response to the current and past climate conditions and to quantify the uncertainty in the system’s response to the possible future climate conditions. Moreover, we are developing a decision support system for operating the hydropower generating river-reservoir system in Manitoba considering uncertainties in the system’s input variables.