Your search found 15 records
1 MacMillan, N. 1993. Indigenous peoples test the waters. IDRC Reports, 21(1):6-8.
(Location: IWMI-HQ Call no: P 2831 Record No: H013126)
2 DeGagne, M. P. J.; Douglas, G. G.; Hudson, H. R.; Simonovic, S. P. 1996. A decision support system for the analysis and use of stage-discharge rating curves. Journal of Hydrology, 184:225-241.
Decision support tools ; Discharge frequency ; Stream flow ; Models ; Regression analysis ; Rivers ; Open channels ; Standards / Canada / Manitoba
(Location: IWMI-HQ Call no: P 4386 Record No: H019865)
3 Kite, G. W.; Pietroniro, A.; Pultz, T. J. (Eds.) 1997. Applications of remote sensing in hydrology: Proceedings of the Third International Workshop, 16-18 October 1996, NASA, Goddard Space Flight Center, Greenbelt, Maryland, USA. Saskatchewan, Canada: National Hydrology Research Institute. vi, 350p. (NHRI symposium no.17)
Remote sensing ; Satellite surveys ; Mapping ; Hydrology ; Climate ; Evapotranspiration ; River basins ; Evaporation ; Rain ; Catchment areas ; GIS ; Models ; Soil moisture ; Watersheds / Canada / USA / North America / India / Sweden / France / Eurasia / Manitoba / Place Glacier Basin / Mackenzie Basin / Himalaya / Satluj River / Oklahoma / Trail Valley Creek Watershed / Little Washita Basin
(Location: IWMI-HQ Call no: 621.3678 G000 KIT Record No: H020554)
4 Teegavarapu, R. S. V.; Simonovic, S. P. 2000. Short-term operation model for coupled hydropower reservoirs. Journal of Water Resources Planning and Management, 126(2):98-106.
Reservoirs ; Hydroelectric schemes ; Models ; Optimization ; Constraints / Canada / Manitoba / Winnipeg River
(Location: IWMI-HQ Call no: PER Record No: H025920)
5 Rangarajan, S.; Simonovic, S. P. 1999. The value of considering autocorrelation between inflows in the stochastic planning of water resource systems. Water Resources Management, 13(6):427-442.
Water resource management ; Linear programming ; Stochastic process ; Models ; Flow ; Operating policies ; Planning ; Hydrology ; Constraints ; Reservoir operation ; Hydroelectric schemes ; Reservoir storage ; Case studies / Canada / Manitoba
(Location: IWMI-HQ Call no: PER Record No: H025931)
6 Gan, T. Y. 2000. Reducing vulnerability of water resources of Canadian Prairies to potential droughts and possible climatic warming. Water Resources Management, 14(2):111-135.
Water resource management ; Planning ; Climate ; Simulation models ; Drought ; Natural disasters ; Irrigated farming ; Stream flow ; Water storage ; Water conservation / Canada / Prairies / Manitoba / Saskatchewan / Alberta
(Location: IWMI-HQ Call no: PER Record No: H026901)
7 Kellow, R. L. 1999. The Prairie Provinces Water Board: A partnership for the management of interprovincial waters in Western Canada. In Johnston, J. R.; Allen, R. G.; Anderson, S. S. (Eds.), River basin management to meet competing needs: Proceedings from the USCID Conference on Shared Rivers, Park City, Utah, October 28-31, 1998. Denver, CO, USA: USCID. pp.215-227.
Water resource management ; Institution building ; Water quality ; Groundwater / Canada / Alberta / Saskatchewan / Manitoba
(Location: IWMI-HQ Call no: 333.91 G000 JOH Record No: H028194)
8 Teegavarapu, R. S. V.; Simonovic, S. P. 2001. Optimal operation of water resource systems: Trade-offs between modelling and practical solutions. In Mariño, M. A.; Simonovic, S. P. (Eds.), Integrated water resources management. Wallingford, UK: IAHS. pp.257-262.
Reservoir operation ; Optimization ; Simulation models ; Hydroelectric schemes / Canada / Winnipeg River / Manitoba
(Location: IWMI-HQ Call no: 333.91 G000 MAR Record No: H029920)
9 Ramesh, S. V.; Teegavarapu, V.; Simonovic, S. P. 2002. Optimal operation of reservoir systems using simulated annealing. Water Resources Management, 16(5):401-428.
(Location: IWMI-HQ Call no: PER Record No: H031307)
10 Ferguson, G.; George, S. S. 2003. Historical and estimated ground water levels near Winnipeg, Canada, and their sensitivity to climatic variability. Journal of the American Water Resources Association, 39(5):1249-1259.
Groundwater ; Aquifers ; Hydrology ; Climate ; Statistical analysis ; Monitoring ; Wells / Canada / Winnipeg / Manitoba
(Location: IWMI-HQ Call no: PER Record No: H034885)
11 Simonovic, S. P.; Li, L. 2004. Sensitivity of the Red River Basin flood protection system to climate variability and change. Water Resources Management, 18(2):89-110.
Flood control ; Climate ; Simulation models ; Hydrology ; Precipitation ; Stream flow ; Reliability / Canada / Manitoba / Red River Basin
(Location: IWMI-HQ Call no: P 6937 Record No: H035128)
12 Ahmad, S.; Simonovic, S. P. 2005. An artificial neural network model for generating hydrograph from hydro-meteorological parameters. Journal of Hydrology, 315:236-251.
Hydrology ; Runoff ; River basins ; Watersheds ; Precipitation ; Forecasting ; Models ; Neural networks ; Performance evaluation / Canada / Manitoba / Red River
(Location: IWMI-HQ Call no: P 7455 Record No: H037944)
13 Wang, P. D.; Osiowy, B. J.; Shiqiang, Y. 2003. Hydraulic physical modelling for hydropower development of river basins in Manitoba, Canada. In Yellow River Conservancy Commission. Proceedings, 1st International Yellow River Forum on River Basin Management – Volume III. Zhengzhou, China: The Yellow River Conservancy Publishing House. pp.196-212.
River basins ; Hydraulics ; Models ; Water power ; Weirs ; Hydraulic structures ; Fishways / Canada / Manitoba / Churchill River
(Location: IWMI-HQ Call no: 333.91 G592 YEL Record No: H034678)
14 Eamen, L.; Brouwer, R.; Razavi, S. 2020. The economic impacts of water supply restrictions due to climate and policy change: a transboundary river basin supply-side input-output analysis. Ecological Economics, 172:106532. (Online first) [doi: https://doi.org/10.1016/j.ecolecon.2019.106532]
Water supply ; Restrictions ; Economic impact ; Input output analysis ; Climate change ; Water policy ; International waters ; River basins ; Water use ; Water intake ; Models ; Rainfed farming ; Crop production ; Animal production / Canada / Saskatchewan River Basin / Alberta / Manitoba
(Location: IWMI HQ Call no: e-copy only Record No: H049671)
(6.01 MB)
Finding sustainable pathways to efficiently allocate limited available water resources among increasingly competing water uses has become crucial due to climate-change-induced water shortages and increasing water demand. This has led to an urgent need for the inclusion of economic principles, models, and methods in water resources management. Although several studies have developed macro-economic models to evaluate the economic impacts of alternative water allocation strategies, many if not most ignore the hydrological boundaries of transboundary river basins. Furthermore, of those using input-output (IO) models, only a handful have applied supply-side IO models. In this paper, we present one of the first attempts to develop an inter-regional, supply-side IO modelling framework for a multi-jurisdictional, transboundary river basin to assess the direct and indirect economic impacts of water supply restrictions due to climate and policy change. Applying this framework to the Saskatchewan River Basin in Canada encompassing three provinces, we investigate the economic impacts of two different water supply restriction scenarios on the entire river basin and its sub-basins individually. We find that in the face of climate-change-induced water shortage, economic losses can be reduced by almost 50% by adopting appropriate management practices, including prioritization of water allocation, using alternative water sources, and water re-use technologies.
15 Wu, L.; Elshorbagy, A.; Helgason, W. 2023. Assessment of agricultural adaptations to climate change from a water-energy-food nexus perspective. Agricultural Water Management, 284:108343. [doi: https://doi.org/10.1016/j.agwat.2023.108343]
Climate change ; Water productivity ; Energy consumption ; Food security ; Nexus approaches ; Sustainable development ; Agronomic practices ; Crop yield ; Wheat ; Rapeseed ; Peas ; Agricultural production ; Crop production ; Water use ; Soil water ; Drought stress ; Food production ; Water demand ; Irrigation water ; Water supply ; Water availability ; Water power ; Evapotranspiration / Canada / Manitoba / Saskatchewan
(Location: IWMI HQ Call no: e-copy only Record No: H051919)
https://www.sciencedirect.com/science/article/pii/S0378377423002081/pdfft?md5=657e37956f50fdbcc1a8d5655caa586f&pid=1-s2.0-S0378377423002081-main.pdf
https://vlibrary.iwmi.org/pdf/H051919.pdf
https://vlibrary.iwmi.org/pdf/H051919.pdf
(7.22 MB) (7.22 MB)
Adapting agriculture to climate change without deteriorating natural resources (e.g., water and energy) is critical to sustainable development. In this paper, we first comprehensively evaluate six agricultural adaptations in response to climate change (2021–2050) through the lens of the water-energy-food (WEF) nexus in Saskatchewan, Canada, using a previously developed nexus model—WEF-Sask. The adaptations involve agronomic measures (early planting date, reducing soil evaporation, irrigation expansion), genetic improvement (cultivars with larger growing degree days (GDD) requirement), and combinations of individual adaptations. The results show that the selected adaptations compensate for crop yield losses (wheat, canola, pea), caused by climate change, to various extents. However, from a nexus perspective, there are mixed effects on water productivity (WP), total agricultural water (green and blue) use, energy consumption for irrigation, and hydropower generation. Individual adaptations such as early planting date and increased GDD requirement compensate for yield losses in both rainfed (0–60 %) and irrigated (18–100 %) conditions with extra use of green water (5–7 %), blue water (2–14 %), and energy for irrigation (2–14 %). Reducing soil water evaporation benefits the overall WEF nexus by compensating for rainfed yield losses (25–82 %) with less use of blue water and energy consumption for irrigation. The combination of the above three adaptations has the potential to sustain agricultural production in water-scarce regions. If irrigation expansion is also included, the combined adaptation almost fully offsets agricultural production losses from climate change but significantly increases blue water use (143–174 %) and energy consumption for irrigation while reducing hydropower production (3 %). This study provides an approach to comprehensively evaluating agricultural adaptation strategies, in response to climate change, and insights to inform decision-makers.
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