Your search found 3 records
1 Zou, Y.; Huang, G. H.; Maqsood, I.; Luo, B.; Hengliang, L. 2003. An integrated rainfall-runoff simulation and factorial design approach for watershed systems modeling under uncertainty: a case study for the Swift Current Creek watershed. 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.292-306.
Rainfall-runoff relationships ; Hydrology ; Watersheds ; Simulation models / Canada / Southwestern Saskatchewan / Swift Current Creek watershed
(Location: IWMI-HQ Call no: 333.91 G592 YEL Record No: H034690)
2 Yin, Y.; Clinton, N.; Luo, B.; Song, L. 2008. Resource system vulnerability to climate stresses in the Heihe River Basin of Western China. In Leary, N.; Conde, C.; Kulkarni, J.; Nyong, A.; Pulhin, J. (Eds.). Climate change and vulnerability. London, UK: Earthscan. pp.88-114.
Rivers ; Climate change ; Risks ; Indicators ; Statistical methods ; Case studies ; Mapping / China / Heihe River Basin
(Location: IWMI HQ Call no: 304.25 G000 LEA Record No: H040831)
3 Zhang, X.; Guo, P.; Guo, W.; Gong, J.; Luo, B.. 2021. Optimization towards sustainable development in shallow groundwater area and risk analysis. Agricultural Water Management, 258:107225. (Online first) [doi: https://doi.org/10.1016/j.agwat.2021.107225]
Groundwater table ; Sustainable development ; Risk analysis ; Sustainable agriculture ; Agricultural development ; Crop production ; Water stress ; Water use efficiency ; Water allocation ; Water supply ; Soil water content ; Soil salinization ; Crop yield ; Energy consumption ; Uncertainty / China / Inner Mongolia Autonomous Region / Hetao Irrigation District / Yellow River
(Location: IWMI HQ Call no: e-copy only Record No: H050705)
(3.86 MB)
The projected increasing food demand in the coming decades will require substantial water and energy resources. Practical approaches are expected to propose to realize enhancing crop production while towards sustainable development in shallow groundwater area. This study integrates a process-based model, multi-objectives, and fuzzy theory into optimization model to optimize crops water allocation pattern under uncertainties of water diversion and groundwater. The process-based model considers the water exchange between soil and groundwater, water stress and salt stress on crops, and ground water level changes. The multi-objectives defined in this study balances the conflicts of maximizing crop production, maximizing water use efficiency, and minimizing energy consumption. The uncertain amount of water diversion and groundwater is presented as fuzzy numbers. The optimized water allocation pattern of 3 crops in 12 water supply response units in Hetao Irrigation District show that the crop yield does not necessarily reach to the highest potential value, though wheat and maize are allocated more water than sunflower and have larger possibility to reach high crop yield. Significant energy investment is needed for extracting and purifying groundwater to ensure relatively high crop production at the case of possible low available water. Uncertainties of water diversion and groundwater will cause a greater range of ground water level in wheat field, a high risk of water stress in sunflower field and a high risk of very severe salinization in wheat field. The different changing directions of three sub-objectives demonstrate that optimal water allocation has no uniform rule but changes with available water.
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