Your search found 29 records
1 Johnson, S. H.; Svendsen, M.; Zhang, X.. 1994. Performance impacts of transfer. In IIMI; Wuhan University of Hydraulic and Electrical Engineering. International Conference on Irrigation Management Transfer, Wuhan, China, 20-24 September 1994. Draft conference papers. Vol.3. Colombo, Sri Lanka: International Irrigation Management Institute (IIMI); Wuhan, China: Wuhan University of Hydraulic and Electrical Engineering. pp.103-124.
(Location: IWMI-HQ Call no: IIMI 631.7.3 G000 IIM Record No: H015557)
2 Johnson, S. H. III; Svendsen, M.; Zhang, X.. 1998. Changes in system performance in two Chinese irrigation systems as a result of organizational reforms. Irrigation and Drainage Systems, 12(4):289-309.
(Location: IWMI-HQ Call no: PER Record No: H023648)
3 Zhang, X.. 1999. Construction of rubber dams. Water Resources Journal, 200:43-57.
(Location: IWMI-HQ Call no: PER Record No: H025989)
4 Fan, S.; Fang, C.; Zhang, X.. 2001. How agricultural research affects urban poverty in developing countries: The case of China. IFPRI discussion paper - Environment and production Technology Division. iii, 22p. (EPTD discussion paper no.83)
(Location: IWMI-HQ Call no: P 5938 Record No: H029412)
5 Zhang, X.; Fan, S. 2001. How productive is infrastructure?: New Approach and evidence from rural India. IFPRI discussion paper - Environment and production Technology Division. ii, 18p. (EPTD discussion paper no.84)
(Location: IWMI-HQ Call no: P 5939 Record No: H029413)
6 Zhang, X.; Pei, D.; Hu, C. 2003. Conserving groundwater for irrigation in the North China Plain. Irrigation Science, 21(4):159-166.
(Location: IWMI-HQ Call no: PER Record No: H031253)
7 Yang, H.; Zhang, X.; Zehnder, A. J. B. 2003. Water scarcity, pricing mechanism and institutional reform in northern China irrigated agriculture. Agricultural Water Management, 61(2):143-161.
(Location: IWMI-HQ Call no: PER Record No: H032161)
8 Zhang, X.. 2002. Linking water balance to irrigation scheduling: A case study in the Piedmont of Mount Taihang. In McVicar, T. R.; Rui, L.; Walker, J.; Fitzpatrick, R. W.; Changming, L. (Eds.), Regional water and soil assessment for managing sustainable agriculture in China and Australia. Canberra, Australia: ACIAR. pp.57-69.
(Location: IWMI-HQ Call no: 631.7.1 G592 MCV Record No: H032990)
9 Qinke, Y.; Rui, L.; Zhang, X.; Hu, L. 2002. Regional evaluation of soil erosion by water: A case study on the Loess Plateau of China. In McVicar, T. R.; Rui, L.; Walker, J.; Fitzpatrick, R. W.; Changming, L. (Eds.), Regional water and soil assessment for managing sustainable agriculture in China and Australia. Canberra, Australia: ACIAR. pp.304-310.
(Location: IWMI-HQ Call no: 631.7.1 G592 MCV Record No: H033008)
10 Qinke, Y.; McVicar, T. R.; Rui, L.; Zhang, X.. 2002. Assessing cropland using geographical information systems and land survey data: An example from China. In McVicar, T. R.; Rui, L.; Walker, J.; Fitzpatrick, R. W.; Changming, L. (Eds.), Regional water and soil assessment for managing sustainable agriculture in China and Australia. Canberra, Australia: ACIAR. pp.311-319.
(Location: IWMI-HQ Call no: 631.7.1 G592 MCV Record No: H033009)
11 Giordano, Mark; Zhu, Zhongping; Cai, X.; Hong, S.; Zhang, X.; Xue, Y. 2004. Water management in the Yellow River Basin: background, current critical issues and future research needs. Colombo, Sri Lanka: International Water Management Institute (IWMI), Comprehensive Assessment Secretariat. v, 39p. (Comprehensive Assessment of Water Management in Agriculture Research Report 003) [doi: https://doi.org/10.3910/2009.390]
(Location: IWMI-HQ Call no: IWMI 333.91 G592 GIO Record No: H035287)
(1.28 MB)
12 Fan, S.; Zhang, L.; Zhang, X.. 2002. Growth, inequality, and poverty in rural China: The role of public investments. Washington, DC, USA: IFPRI. x, 72p. (IFPRI Research Report 125)
(Location: IWMI-HQ Call no: 339.46 G592 FAN Record No: H035430)
(Location: IWMI-HQ Call no: P 7492 Record No: H038281)
(Location: IWMI-HQ Call no: PER Record No: H038675)
15 Guo, H.; Li, G.; Zhang, D.; Zhang, X; Lu, C. 2006. Effects of water table and fertilization management on nitrogen loading to groundwater. Agricultural Water Management, 82(1/2):86-98.
(Location: IWMI-HQ Call no: PER Record No: H038678)
16 Hu, C.; Zhang, X.; McVicar, T. R. 2006. Groundwater use and potential implications for water conservation in the North China Plain. In Willett, I. R.; Gao, Z. (Eds.) Agricultural water management in China: Proceedings of a workshop held in Beijing, China, 14 September 2005. Canberra, Australia: ACIAR. pp.13-25.
(Location: IWMI-HQ Call no: 631.7 G592 WIL Record No: H039218)
(Location: IWMI HQ Call no: e-copy only Record No: H049586)
(0.15 MB)
It is imperative that there be consistent and unambiguous terminology when reporting on irrigation water use, and that the metrics of water productivity and economic benefits be clearly defined. We encourage our readers to study closely the following paper by our colleagues on the definitions and uses of various water-use indicators, along with their use in economic analyses.
(Location: IWMI HQ Call no: e-copy only Record No: H049589)
(0.18 MB) (180 KB)
With the growing population and climate change, increasing demands for water are intensifying competition between agricultural stakeholders. Since the mid-20th century, numerous crop models and modeling techniques have emerged for the quantitative assessment of cropping systems. This article introduces a collection of articles that explore current research in model applications for sustainable agricultural water use. The collection includes articles from model development to regional and field-scale applications addressing management effects, model uncertainty, irrigation decision support systems, and new methods for simulating salt balances. Further work is needed to integrate data science, modern sensor systems, and remote sensing technologies with the models in order to investigate the sustainability of agricultural systems in regions affected by land-use change and climate change.
(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.
(Location: IWMI HQ Call no: e-copy only Record No: H049781)
(4.05 MB)
Water deficiency due to climate change and the world's population growth increases the demand for the water industry to carry out vulnerability assessments. Although many studies have been done on climate change vulnerability assessment, a specific framework with sufficient indicators for water vulnerability assessment is still lacking. This highlights the urgent need to devise an effective model framework in order to provide water managers and authorities with the level of water exposure, sensitivity, adaptive capacity and water vulnerability to formulate their responses in implementing water management strategies. The present study proposes a new approach for water quantity vulnerability assessment based on remote sensing satellite data and GIS ModelBuilder. The developed approach has three layers: (1) data acquisition mainly from remote sensing datasets and statistical sources; (2) calculation layer based on the integration of GIS-based model and the Intergovernmental Panel on Climate Change's vulnerability assessment framework; and (3) output layer including the indices of exposure, sensitivity, adaptive capacity and water vulnerability and spatial distribution of remote sensing indicators and these indices in provincial and regional scale. In total 27 indicators were incorporated for the case study in Vietnam based on their availability and reliability. Results show that the most water vulnerable is the South Central Coast of the country, followed by the Northwest area. The novel approach is based on reliable and updated spatial-temporal datasets (soil water stress, aridity index, water use efficiency, rain use efficiency and leaf area index), and the incorporation of the GIS-based model. This framework can then be applied effectively for water vulnerability assessment of other regions and countries.
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