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.
Irrigation management ; Privatization ; Economic aspects ; Water rates ; Agricultural production ; Financing / China
(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.
Irrigation management ; Performance evaluation ; Organizational change ; Economic aspects / China / Hebei Province / Bayi / Nanyao
(Location: IWMI-HQ Call no: PER Record No: H023648)
3 Zhang, X.. 1999. Construction of rubber dams. Water Resources Journal, 200:43-57.
Dam construction ; Design ; Control systems ; Construction costs ; Irrigation water ; Water supply ; Flood control ; Pollution control ; Hydroelectric schemes ; Environmental effects / Hong Kong
(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)
Agricultural research ; Investment ; Poverty ; Urbanization ; Developing countries ; Models ; Economic aspects / China
(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)
Rural economy ; Rural development ; Infrastructure ; Developing countries ; Models ; Productivity / India
(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.
Groundwater irrigation ; Water conservation ; Water use efficiency ; Wheat ; Maize ; Water deficit / China / North China Plain / Mt. Taihang
(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.
Irrigated farming ; Water scarcity ; Water demand ; Water costs ; Water rates ; Pricing ; Farmers’ attitudes ; Water rights ; Institutional development ; Irrigation efficiency / China
(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.
Irrigation scheduling ; Water balance ; Case studies ; Water use efficiency ; Evapotranspiration ; Wheat ; Water requirements ; Groundwater ; Water stress / China / Mount Taihang
(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]
River basin development ; Water management ; Water use ; History ; Water stress ; Water scarcity ; Flood water ; Soil conservation ; Policy ; Water quality ; Environmental effects ; Water conservation ; Irrigation water ; Pollution control / China / Yellow River Basin
(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)
Poverty ; Estimation ; Public investment ; Agricultural policy ; Rural economy ; Irrigation water ; Education ; Infrastructure ; Models / China
(Location: IWMI-HQ Call no: 339.46 G592 FAN Record No: H035430)
13 Giordano, Mark; Zhu, Zhongping; Cai, X.; Hong, S,; Zhang, X.; Xue, Y. 2005. Management reforms needed in the Yellow River Basin. id21 Natural Resources Highlights - Water, pp.3.
(Location: IWMI-HQ Call no: P 7492 Record No: H038281)
14 Yang, Y.; Watanabe, M.; Zhang, X.; Zhang, J.; Wang, Q.; Hayashi, S. 2006. Optimizing irrigation management for wheat to reduce groundwater depletion in the Piedmont Region of the Taihang Mountains in the North China Plain. Agricultural Water Management, 82(1/2):25-44.
Irrigation management ; Wheat ; Soil water ; Simulation models ; Water conservation ; Water use efficiency ; Groundwater depletion / China / Piedmont Region / North China Plain / Taihang Mountains
(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.
Groundwater pollution ; Nitrogen ; Fertilizers ; Water balance ; Water table / China / Yunnan Province / Dianchi Lake
(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.
Water conservation ; Groundwater depletion ; Water table ; Precipitation ; Climate change ; Irrigation scheduling ; Tillage / China / North China Plain
(Location: IWMI-HQ Call no: 631.7 G592 WIL Record No: H039218)
17 Clothier, B.; Jovanovic, N.; Zhang, X.. 2020. Reporting on water productivity and economic performance at the water-food nexus. Agricultural Water Management, 106123 (Online first) [doi: https://doi.org/10.1016/j.agwat.2020.106123]
(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.
18 Jeong, J.; Zhang, X.. 2020. Model application for sustainable agricultural water use. Editorial. Agronomy, 10(3):396. (Special issue: Model Application for Sustainable Agricultural Water). [doi: https://doi.org/10.3390/agronomy10030396]
Sustainable agriculture ; Agricultural water use ; Simulation models ; Crop modelling ; Decision support systems ; Agronomy ; Environmental effects ; Uncertainty
(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.
19 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.
20 Nguyen, T. T.; Ngo, H. H.; Guo, W.; Nguyen, H. Q.; Luu, C.; Dang, K. B.; Liu, Y.; Zhang, X.. 2020. New approach of water quantity vulnerability assessment using satellite images and GIS-based model: an application to a case study in Vietnam. Science of The Total Environment, 737:139784. (Online first) [doi: https://doi.org/10.1016/j.scitotenv.2020.139784]
Water resources ; Vulnerability ; Assessment ; Geographical information systems ; Satellite imagery ; Remote sensing ; Climate change ; Drought stress ; Indicators ; Case studies ; Models / Vietnam
(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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