Your search found 3 records
1 Zhu, Q.; Wu, F.. 1995. A lifeblood transfusion: Gansu's new rainwater catchment systems. Waterlines, 14(2):5-7.
(Location: IWMI-HQ Call no: PER Record No: H017728)
2 Zhang, L.; Zhang, X.; Wu, F.; Pang, Q. 2020. Basin initial water rights allocation under multiple uncertainties: a trade-off analysis. Water Resources Management, 34(3):955-988. [doi: https://doi.org/10.1007/s11269-019-02453-y]
Water rights ; Water allocation ; Water availability ; Water demand ; Water supply ; Uncertainty ; Conflicts ; Equity ; Socioeconomic development ; Secondary sector ; Risks ; Models ; Case studies / China / Taihu Basin
(Location: IWMI HQ Call no: e-copy only Record No: H049633)
(7.45 MB)
Economic losses and inequities caused by uncertainties in the availability of water intensify the competition between water sectors, making the allocation of water rights of vital importance for minimizing water conflicts. In this study, an Interval-parameter Two-stage Stochastic Programming (ITSP) model for water rights allocation is developed that contains an industrial allocation preference coefficient and involves the risk control of Conditional Value-at-Risk theory and Gini coefficient constraints (ITSP-CG). Using China’s Taihu Basin as a case study, it is shown that optimized water rights allocation schemes can reduce the risk of inequitable localized water deficits, a narrower confidence interval results in higher economic loss, and, when the confidence level is fixed, tighter control of water availability results in water efficient sectors having an increasing preference for allocation schemes. It is also shown that Basin Authorities need to trade-off the equitable allocation of water rights and economic returns over a particular planning period.
3 Li, M.; Yang, X.; Wu, F.; Babuna, P. 2022. Spatial equilibrium-based multi-objective optimal allocation of regional water resources. Journal of Hydrology: Regional Studies, 44:101219. [doi: https://doi.org/10.1016/j.ejrh.2022.101219]
Water resources ; Water allocation ; Spatial equilibrium analysis ; Water conservation ; Water supply ; Water demand ; Towns ; Water use ; Decision making ; Socioeconomic development ; Environmental impact ; Economic benefits ; Indicators ; Case studies ; Models ; Uncertainty / China / Guangdong
(Location: IWMI HQ Call no: e-copy only Record No: H051484)
https://www.sciencedirect.com/science/article/pii/S2214581822002324/pdfft?md5=b291269772a0b77d86b7fb377373fd73&pid=1-s2.0-S2214581822002324-main.pdf
https://vlibrary.iwmi.org/pdf/H051484.pdf
https://vlibrary.iwmi.org/pdf/H051484.pdf
(9.30 MB) (9.30 MB)
Study region: Guangdong Province in China.
Study focus: Water shortages due to the spatially uneven distribution of water resources have become the main obstacle to the sustainable development of regional society and the economy. To alleviate this problem, this study developed a framework including prediction, optimization, and decision-making models to allocate available water resources among the different sectors of the cities in the region. The framework was advantageous in efficiently predicting future water demand and supply for multiple cities, quantitatively reflecting the level of the spatial equilibrium of water allocation (SEWA) through coupling coordination degree (CCD), and achieving a higher level of SEWA rather than just the equitable water distribution.
New hydrological insights for the region: The results indicated that: (i) by 2030, the deficit of water supply and demand of Guangdong Province would be further aggravated, with a water shortage rate of 4.18%; (ii) by optimal water allocation, the water shortage rate of Guangdong Province decreased to 1.56% and the level of SEWA improved significantly from moderate equilibrium to good equilibrium; and (iii) from 2018 to 2030, key water-saving sectors in different cities were identified, while the industrial sector had a higher water-saving intensity than other water use sectors. This study could provide references for integrated water allocation strategies to realize the coordinated development of socioeconomic and environmental systems in other regions of the world.
Study focus: Water shortages due to the spatially uneven distribution of water resources have become the main obstacle to the sustainable development of regional society and the economy. To alleviate this problem, this study developed a framework including prediction, optimization, and decision-making models to allocate available water resources among the different sectors of the cities in the region. The framework was advantageous in efficiently predicting future water demand and supply for multiple cities, quantitatively reflecting the level of the spatial equilibrium of water allocation (SEWA) through coupling coordination degree (CCD), and achieving a higher level of SEWA rather than just the equitable water distribution.
New hydrological insights for the region: The results indicated that: (i) by 2030, the deficit of water supply and demand of Guangdong Province would be further aggravated, with a water shortage rate of 4.18%; (ii) by optimal water allocation, the water shortage rate of Guangdong Province decreased to 1.56% and the level of SEWA improved significantly from moderate equilibrium to good equilibrium; and (iii) from 2018 to 2030, key water-saving sectors in different cities were identified, while the industrial sector had a higher water-saving intensity than other water use sectors. This study could provide references for integrated water allocation strategies to realize the coordinated development of socioeconomic and environmental systems in other regions of the world.
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