A warming climate and land management intensification have altered water supply characteristics in many regions of the world. Incorporation of water supply uncertainties into long-term water resources planning and management is, therefore, significant from both a scientific and societal perspective. This study proposes a set of analyses for integrated water resources management under changing water supply and demand expansion based on a newly developed methodology for vulnerability assessment. The basin of interest for the proposed analysis is the interprovincial Saskatchewan River Basin (SaskRB) in Canada, which supports a wide range of water demands, from municipal and industrial use to irrigated agriculture and hydropower. Proposals for an increase in irrigated area are used as a context for exploring the joint effects of current and future water supply uncertainty and increasing irrigation demand conditions on the water resources system. Changing water supply conditions are represented by perturbing annual volumes and the seasonal timing of the hydrograph peak as input to an integrated water resources model. The analysis enables evaluation of the effects of economic development plans as well as variations in volume and peak timing of flows on water availability and economic productivity, including possibilities for failure to meet demands. Results for the SaskRB show that a large increase in irrigated agriculture raises average net revenues, but these are highly dependent on water supply conditions and loss of revenue may arise under drought conditions. Hydropower production is more sensitive to changes in annual inflow volume than to changes in either annual timing of the peak flow or the magnitude of irrigation expansion. Irrigation expansion can considerably affect the peak flows in the Saskatchewan River Delta, the largest inland delta in North America, during low-flow conditions. For example, a 400% increase in irrigated area under a 25% decrease in inflow volume and 4-week-earlier annual peak timing can reduce the frequency of peak flows in the delta by more than 50%, though potential effects on the riparian and aquatic ecosystems remain uncertain. This case study illustrates the practical utility of stochastic analysis of system vulnerability to feasible futures in such a way that socioeconomic trade-offs can be readily visualized and understood. Such performance assessments are useful for long-term water resources planning and management under water supply uncertainty.
Integrating Supply Uncertainties from Stochastic Modeling into Integrated Water Resource Management: Case Study of the Saskatchewan River Basin
Case Studies
Integrating Supply Uncertainties from Stochastic Modeling into Integrated Water Resource Management: Case Study of the Saskatchewan River Basin
Elmira Hassanzadeh; Amin Elshorbagy, Ph.D.; Howard Wheater, Ph.D.; Patricia Gober, Ph.D.; and Ali Nazemi, Ph.D.
Abstract
Authors:
Ph.D. Candidate, Dept. of Civil and Geological Engineering, and Global Institute for Water Security, Univ. of Saskatchewan, 57 Campus Dr., Saskatoon, SK, Canada S7N 5A9 (corresponding author). E-mail: [email protected]
Professor, Dept. of Civil and Geological Engineering, and Global Institute for Water Security, Univ. of Saskatchewan, 57 Campus Dr., Saskatoon, SK, Canada S7N 5A9.
Professor, Global Institute for Water Security, School of Environment and Sustainability, and Dept. of Civil and Geological Engineering, Univ. of Saskatchewan, 11 Innovation Blvd., Saskatoon, SK, Canada S7N 3H5.
Professor, Johnson-Shoyama Graduate School of Public Policy, and Global Institute for Water Security, Univ. of Saskatchewan, 101 Diefenbaker Place, Saskatoon, SK, Canada S7N 5B8.
Assistant Professor, Dept. of Building, Civil and Environmental Engineering, Concordia Univ., 455 De Maisonneuve Blvd. W., Montreal, QC, Canada H3G 1M8; formerly, Research Associate, Global Institute for Water Security, Univ. of Saskatchewan, 11 Innovation Blvd., Saskatoon, SK, Canada S7N 3H5.
Received: November 18, 2014
Accepted: June 25, 2015
Published online: August 27, 2015
© 2015 American Society of Civil Engineers