Your search found 3 records
1 Zeng, Y.; Liu, D.; Guo, S.; Xiong, L.; Liu, P.; Chen, J.; Yin, J.; Wu, Z.; Zhou, W. 2023. Assessing the effects of water resources allocation on the uncertainty propagation in the water-energy-food-society (WEFS) nexus. Agricultural Water Management, 282:108279. (Online first) [doi: https://doi.org/10.1016/j.agwat.2023.108279]
Water resources ; Water availability ; Nexus approaches ; Uncertainty ; Sustainable development ; Models ; Climate change ; Water shortage ; Water flow ; Upstream ; Downstream ; Water supply ; Food shortages ; Socioeconomic aspects ; Water demand ; Food production / Chaina / Hanjiang River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H051846)
https://www.sciencedirect.com/science/article/pii/S0378377423001440/pdfft?md5=34477725d5a384fd6fa305b41758a107&pid=1-s2.0-S0378377423001440-main.pdf
https://vlibrary.iwmi.org/pdf/H051846.pdf
https://vlibrary.iwmi.org/pdf/H051846.pdf
(8.09 MB) (8.09 MB)
The water–energy–food–society (WEFS) nexus is profiled for sustainable development. The WEFS nexus exhibits strong uncertainty owing to the stochasticity of model structure, and water availability uncertainty under climate change and human activities. The WEFS nexus remains highly risky, as the uncertainty propagation in the WEFS nexus under the regulation of water resources allocation has rarely been investigated. In this study, white Gaussian noises were integrated into a system dynamic model for the WEFS nexus simulation, transforming the nexus from deterministic to stochastic. Based on a Monte Carlo simulation of the stochastic WEFS nexus with water availability uncertainty, the copula function was applied to evaluate the joint distributions between water availability and water shortage rates in the upstream and downstream zones to investigate the uncertainty propagation in the WEFS nexus. The effects of water resources allocation on the uncertainty propagation were analyzed by setting different water resources allocation schemes. The proposed approach was applied to the mid–lower reaches of Hanjiang River basin in China as a case study. The results indicate that an effective water resources allocation scheme can ensure water supply, and diminish the impacts of water availability uncertainty on water supply through reservoir operation. The annual average water supply rate increased from 84.74% to 93.45%, and the standard deviation decreased from 3.37% to 1.78%. The high-level environmental awareness evoked by water or food shortages decreased significantly with smaller uncertainty. The co-evolution of the WEFS was ensured through its nexus. Water storage capacity was the vital factor to regulate the uncertainty propagation in the WEFS nexus. The impacts of upstream water availability uncertainty were efficiently regulated via reservoir operation for the zones with sufficient water storage capacity. Water supply was ensured and there was no significant response of the WEFS through its nexus to different water resources allocation schemes. If there was few water storage capacity in a zone, the water supply was remarkably influenced by the water availability uncertainty in the upstream zone. The water supply was difficult to ensure, and was sensitive to different water resources allocation schemes. The environmental awareness evoked by water or food shortages increased. The environmental awareness feedback under the impacts of the noises increased water demand uncertainty by altering the socioeconomic expansion, further increased WEFS uncertainty through its nexus, particularly when water availability was much smaller than water demand. The proposed approach can help quantify the effects of water resources allocation on the uncertainty propagation in the WEFS nexus and contribute to the sustainable development of the WEFS nexus.
2 Yin, J.; Wang, D.; Li, H. 2023. Spatial optimization of rural settlements in ecologically fragile regions: insights from a social-ecological system. Habitat International, 138:102854. (Online first) [doi: https://doi.org/10.1016/j.habitatint.2023.102854]
(Location: IWMI HQ Call no: e-copy only Record No: H052055)
https://www.sciencedirect.com/science/article/pii/S0197397523001145/pdfft?md5=5419b674b0adbcf5a2ce4f7e1a0e35db&pid=1-s2.0-S0197397523001145-main.pdf
https://vlibrary.iwmi.org/pdf/H052054.pdf
https://vlibrary.iwmi.org/pdf/H052054.pdf
(9.03 MB) (9.03 MB)
Rural areas in ecologically fragile regions face obstacles of underdeveloped social economies and poor natural conditions. Existing studies on the optimization of rural settlements in ecologically fragile areas have mainly focused on regional ecological protection and have paid inadequate attention to social-economic dimensions and their interaction with ecological dimensions. We propose an analytical framework for the spatial optimization of rural settlements from a social-ecological perspective. Using Kaitong Town, located in western Jilin Province, China, as a case study, we analysed the development capacity in different villages and evaluated ecosystem resilience. Based on different spatial combinations of rural development capacity and ecosystem resilience, we divided the study area into four zones: relocation and merger; aggregation and promotion; key development; and stabilization and improvement. Rural settlements within the relocation and merger zone were identified as requiring resettlement. Two optimization directions are suggested: one to the key development zone within an adjacent village and the other to the aggregation and promotion zone within the same administrative village. The proposed analytical framework provides a scientific basis for optimizing the layout of rural settlements in ecologically fragile regions and can play an important role in realizing the sustainable development of rural areas.
3 Lin, J.; Bryan, B. A.; Zhou, X.; Lin, P.; Do, H. X.; Gao, L.; Gu, X.; Liu, Z.; Wan, L.; Tong, S.; Huang, J.; Wang, Q.; Zhang, Y.; Gao, H.; Yin, J.; Chen, Z.; Duan, W.; Xie, Z.; Cui, T.; Liu, J.; Li, M.; Li, X.; Xu, Z.; Guo, F.; Shu, L.; Li, B.; Zhang, J.; Zhang, P.; Fan, B.; Wang, Y.; Zhang, Y.; Huang, J.; Li, X.; Cai, Y.; Yang, Z. 2023. Making China’s water data accessible, usable and shareable. Nature Water, 1:328-335. [doi: https://doi.org/10.1038/s44221-023-00039-y]
Water resources ; Data collection ; Databases ; Monitoring ; Modelling ; Water quality ; Wastewater treatment ; Stream flow ; Transboundary waters ; Water demand ; Infrastructure ; Policies / China
(Location: IWMI HQ Call no: e-copy only Record No: H052133)
(1.42 MB)
Water data are essential for monitoring, managing, modelling and projecting water resources. Yet despite such data—including water quantity, quality, demand and ecology—being extensively collected in China, it remains difficult to access, use and share them. These challenges have led to poor data quality, duplication of effort and wasting of resources, limiting their utility for supporting decision-making in water resources policy and management. In this Perspective we discuss the current state of China’s water data collection, governance and sharing, the barriers to open-access water data and its impacts, and outline a path to establishing a national water data infrastructure to reform water resource management in China and support global water-data sharing initiatives.
Powered by DB/Text WebPublisher, from
