Your search found 17 records
1 Xu, Z.. 1982. Irrigation of rice in China. Wuhun, China: Wuhun Institute of Hydraulic & Electric Engineering. 16p.
(Location: IWMI-HQ Call no: P 3274 Record No: H03504)
2 Xu, Z.. 1983. Irrigation water management in China. Wuhun, China: Wuhun Institute of Hydraulic & Electric Engineering. 16p.
(Location: IWMI-HQ Call no: 631.7 G592 XUZ Record No: H03503)
3 Xu, Z.. 1986. Management of large irrigation projects in China. Paper presented at 1st International Conference on Engineering Management: Theory and applications, Swansea, 1986. pp.127-137.
Irrigation management ; Primary level irrigation ; Water use ; Economic aspects ; Hydraulics ; Irrigation programs ; Water distribution / China
(Location: IWMI-HQ Call no: P 806 Record No: H03505)
4 Xu, Z.. 1988. Water management in the Hubei province. In Proceedings of the International Conference on Irrigation System Evaluation and Water Management, Wuhan, China, 12-16 September 1988: Vols.1 & 2. Wuhan, China: Wuhan University of Hydraulic and Electrical Engineering. pp.1-11.
(Location: IWMI-HQ Call no: 631.7.8 G000 PRO Record No: H06655)
5 Xu, Z.. 1988. Techno-economical indexes for evaluation of irrigation system and water management. In Proceedings of the International Conference on Irrigation System Evaluation and Water Management, Wuhan, China, 12-16 September 1988: Vols.1 & 2. Wuhan, China: Wuhan University of Hydraulic and Electrical Engineering. pp.151-163.
(Location: IWMI-HQ Call no: 631.7.8 G000 PRO Record No: H06667)
6 Xu, Z.. 1988. A successful irrigation project for diverting water from the Yellow River - The Victory Irrigation Project. In Proceedings of the International Conference on Irrigation System Evaluation and Water Management, Wuhan, China, 12-16 September 1988: Vols.1 & 2. Wuhan, China: Wuhan University of Hydraulic and Electrical Engineering. pp.189-197.
(Location: IWMI-HQ Call no: 631.7.8 G000 PRO Record No: H06670)
7 Xu, Z.. 1989. A successful irrigation-drainage project: West-East Lake Polder area. In Rydzewski, J. R.; Ward, C. F. (Eds.) Irrigation theory and practice: Proceedings of the International Conference, University of Southampton, 12-15 September. London: Pentech Press. pp.162-172.
Land reclamation ; Evaluation ; Drainage ; Water management ; Pumping ; Irrigation systems ; Polders / China / Yangtze River
(Location: IWMI-HQ Call no: 631.7 G000 RYD Record No: H07520)
8 Wang, J.; Xu, Z.; Huang, J.; Rozelle, S. 2003. Institutional reform and impacts: the case study in the Yellow River Basin. In Yellow River Conservancy Commission. Proceedings, 1st International Yellow River Forum on River Basin Management - Volume II. Zhengzhou, China: The Yellow River Conservancy Publishing House. pp.87-104.
River basin development ; Institutional development ; Water user associations ; Crop production ; Models ; Water resource management / China
(Location: IWMI-HQ Call no: 333.91 G592 YEL Record No: H033849)
9 Wang, J.; Xu, Z.; Huang, J.; Rozelle, S.; Hussain, Intizar; Biltonen, Eric. 2004. Water management reforms in the Yellow River Basin: implications for water savings, farm incomes and poverty. Research paper, IWMI-ADB Project. 26p.
River basins ; Water management ; Governance ; Water use ; Crop production ; Models ; Farm income ; Poverty ; Water user associations / China / Yellow River Basin
(Location: IWMI-HQ Call no: IWMI 631.7.1 G592 WAN Record No: H036162)
http://www.iwmi.cgiar.org/propoor/files/ADB_Project/Research_Papers/Pro_poor_Reforms_China.pdf
https://vlibrary.iwmi.org/pdf/H_36162.pdf
https://vlibrary.iwmi.org/pdf/H_36162.pdf
10 Xu, Z.; Takeuchi, K.; Ishidaira, H.; Liu, C. 2005. An overview of water resources in the Yellow River Basin. Water International, 30(2):225-238.
Water resource management ; River basins ; Precipitation ; Surface water ; Groundwater ; Water use ; Domestic water ; Irrigation water ; Water demand / China / Yellow River Basin
(Location: IWMI-HQ Call no: PER Record No: H037853)
11 Wang, J.; Huang, J.; Xu, Z.; Rozelle, S.; Hussain, I.; Biltonen, Eric. 2007. Irrigation management reforms in the Yellow River Basin: Implications for water saving and poverty. Irrigation and Drainage, 56:247-259.
Irrigation management ; River basins ; Water conservation ; Water user associations ; Water use ; Models ; Poverty / China / Yellow River Basin / Ningxia / Henan
(Location: IWMI HQ Call no: IWMI 631.7 G592 WAN Record No: H040004)
12 Yin, Y.; Xu, Z.; Long, A. 2008. Evaluation of adaptation options for the Heihe River Basin of China. In Leary, N.; Adejuwon, J.; Barros, V.; Burton, I.; Kulkarni, J.; Lasco, R. (Eds.). Climate change and adaptation. London, UK: Earthscan. pp.211-227.
(Location: IWMI HQ Call no: 304.25 G000 LEA Record No: H040841)
13 Ringler, C.; Cai, X.; Wang, J.; Ahmed, A.; Xue, Y.; Xu, Z.; Yang, E.; Jianshi, Z.; Zhu, T.; Cheng, L.; Yongfeng, F.; Xinfeng, F.; Xiaowei, G.; You, L. 2012. Yellow River Basin: living with scarcity. In Fisher, M.; Cook, Simon (Eds.). Water, food and poverty in river basins: defining the limits. London, UK: Routledge. pp.192-217.
River basins ; Water resources ; Water scarcity ; Water security ; Water productivity ; Legislation ; Water rights ; Poverty ; Economic development ; Irrigation water ; Investment ; Food security ; Agricultural development ; Rainfed farming ; Irrigated farming / China / Yellow River Basin
(Location: IWMI HQ Call no: IWMI Record No: H044845)
14 Xu, Z.; Yao, L. 2022. Opening the black box of water-energy-food nexus system in China: prospects for sustainable consumption and security. Environmental Science and Policy, 127:66-76. [doi: https://doi.org/10.1016/j.envsci.2021.10.017]
Water resources ; Energy consumption ; Food security ; Nexus ; Energy generation ; Water extraction ; Socioeconomic aspects ; Sustainable development ; Economic development ; Trends / China / Beijing / Tianjin / Hebei
(Location: IWMI HQ Call no: e-copy only Record No: H050784)
(4.05 MB)
Water-energy-food (WEF) nexus system enables to examine the implications for sustainability. Inevitably, shocks from socioeconomic subsystems would impact the stability and reliability of the WEF nexus system. This paper aims to identify the reasons for changes in water withdrawal, energy consumption, and crop consumption, and uncover differentiated effects from both the national and provincial perspectives, and finally offer the main strategies in China that balance socioeconomic development and resource-saving from the consumption perspective. Empirical results in China from 2011 to 2017 show that (1) the reduction of per capita energy consumption leads to a decrease in water withdrawal, while increased population and water withdrawal intensity in energy sectors have adverse effects on diminishing water withdrawal. (2) The decrease in energy consumption mainly results from improved energy use efficiency for the whole period. (3) Reduction in national crop consumption is mainly caused by the decline in energy consumption per person over the years, which implies a positive effect of food-energy nexus effect on the decrease in crop consumption. (4) Spatially-temporarily contribution rates of drivers offer implications to the implementation of resource-saving and sustainability in the future. Directions and magnitudes of driving forces are different from the sub-nation perspective, hence, finally takes Beijing-Tianjin-Hebei (BTH) region as an example, we analyze clearly the relative planning and reports and propose several pathways to accelerate the sustainable development in the BTH region.
15 Rasool, U.; Yin, X.; Xu, Z.; Rasool, M. A.; Senapathi, V.; Hussain, M.; Siddique, J.; Trabucco, J. C. 2022. Mapping of groundwater productivity potential with machine learning algorithms: a case study in the provincial capital of Baluchistan, Pakistan. Chemosphere, 303(Part 3):135265. [doi: https://doi.org/10.1016/j.chemosphere.2022.135265]
Groundwater potential ; Water productivity ; Mapping ; Machine learning ; Case studies ; Assessment ; Water quality ; Remote sensing ; Geographical information systems ; Neural networks ; Models / Pakistan / Baluchistan / Quetta
(Location: IWMI HQ Call no: e-copy only Record No: H051222)
(7.42 MB)
Although groundwater (GW) potential zoning can be beneficial for water management, it is currently lacking in several places around the world, including Pakistan's Quetta Valley. Due to ever increasing population growth and industrial development, GW is being used indiscriminately all over the world. Recognizing the importance of GW potential for sustainable growth, this study used to 16 GW drive factors to evaluate their effectiveness by using six machine learning algorithms (MLA's) that include artificial neural networks (ANN), random forest (RF), support vector machine (SVM), K- Nearest Neighbor (KNN), Naïve Bayes (NB) and Extreme Gradient Boosting (XGBoost). The GW yield data were collected and divided into 70% for training and 30% for validation. The training data of GW yields were integrated into the MLA's along with the GW driver variables and the projected results were checked using the Receiver Operating Characteristic (ROC) curve and the validation data. Out of six ML algorithms, ROC curve showed that the XGBoost, RF and ANN models performed well with 98.3%, 96.8% and 93.5% accuracy respectively. In addition, the accuracy of the models was evaluated using the mean absolute error (MAE), root mean square error (RMSE), F-score and correlation-coefficient. Hydro-chemical data were evaluated, and the water quality index (WQI) was also calculated. The final GW productivity potential (GWPP) maps were created using the MLA's output and WQI as they identify the different classification zones that can be used by the government and other agenciesto locate new GW wells and provide a basis for water management in rocky terrain.
16 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.
17 He, Q.; Liu, De L.; Wang, B.; Wang, Z.; Cowie, A.; Simmons, A.; Xu, Z.; Li, L.; Shi, Y.; Liu, K.; Harrison, M. T.; Waters, C.; Huete, A.; Yu, Q. 2024. A food-energy-water-carbon nexus framework informs region-specific optimal strategies for agricultural sustainability. Resources, Conservation and Recycling, 203:107428. (Online first) [doi: https://doi.org/10.1016/j.resconrec.2024.107428]
Sustainable agriculture ; Strategies ; Nexus approaches ; Carbon footprint ; Carbon sequestration ; Water use ; Energy ; Food production ; Greenhouse gas emissions ; Profitability ; Cover plants ; Cropping systems ; Crop production ; Cash crops ; Sorghum ; Wheat ; Chickpeas ; Crop rotation ; Crop yield ; Water footprint ; Rainfall / Australia / New South Wales
(Location: IWMI HQ Call no: e-copy only Record No: H052623)
(7.12 MB)
Agricultural sustainability is threatened by pressures from water scarcity, energy crises, escalating greenhouse gas (GHG) emissions, and diminishing farm profitability. Practices that diversify crop rotations, retain crop residues, and incorporate cover crops have been widely studied for their impacts on soil organic carbon and crop production. However, their associated usage of natural resources and economic returns have been overlooked. Here, we employed a food-energy-water-carbon (FEWC) nexus framework to assess the sustainability of crop rotations plus various management strategies across three sub-regions of New South Wales (NSW) in Australia. We found that compared with residue burning and fallowing, residue retention and cover cropping contributed to GHG abatement, but the latter consumed more energy and water per hectare. The composite sustainability scores, calculated with the FEWC framework, suggested that legume-inclusive rotations were generally more sustainable. Furthermore, in northern NSW (with existing sorghum/wheat/chickpea/wheat rotation), residue retention with cover cropping was most suitable combination, while the use of residue retention with fallow yielded greater benefits in southern NSW (with existing wheat/field pea/wheat/canola rotation). Regional disparities in climate, soil, cropping systems, and on-farm costs prompted region-specific strategies to address the unbalanced distribution among FEWC domains. Our study provides assessments for identifying feasible management practices to advance agricultural sustainability.
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