Your search found 7 records
1 Zhao, C.; Nan, Z.; Cheng, G. 2005. Methods for estimating irrigation needs of spring wheat in the middle Heihe basin, China. Agricultural Water Management, 75(1):54-70.
Evapotranspiration ; River basins ; GIS ; Models ; Irrigation requirements ; Water demand ; Wheat / China / Heihe River Basin
(Location: IWMI-HQ Call no: PER Record No: H036921)
2 Leary, N.; Conde, C.; Kulkarni, J.; Nyong, A.; Pulhin, J. (Eds.) 2008. Climate change and vulnerability. London, UK: Earthscan. 428p.
Climate change ; Developing countries ; Biodiversity ; Rain ; Forests ; Flooding ; Pastoralism ; River basins ; Food security ; Drought ; Rice ; Malaria ; Diseases ; Public health / Africa / Philippines / Mongolia / China / Nigeria / Sudan / Mexico / Argentina / Philippines / Seychelles / Sri Lanka / Jemaica / Heihe River Basin / Buenos Aires / Rio de la Plata Basin / Pantabangan-Carranglan Watershed / Lower Mekong River Basin
(Location: IWMI HQ Call no: 304.25 G000 LEA Record No: H040830)
3 Yin, Y.; Clinton, N.; Luo, B.; Song, L. 2008. Resource system vulnerability to climate stresses in the Heihe River Basin of Western China. In Leary, N.; Conde, C.; Kulkarni, J.; Nyong, A.; Pulhin, J. (Eds.). Climate change and vulnerability. London, UK: Earthscan. pp.88-114.
Rivers ; Climate change ; Risks ; Indicators ; Statistical methods ; Case studies ; Mapping / China / Heihe River Basin
(Location: IWMI HQ Call no: 304.25 G000 LEA Record No: H040831)
4 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)
5 Tang, Y.; Zhang, F.; Engel, B. A.; Liu, X.; Yue, Q.; Guo, P. 2020. Grid-scale agricultural land and water management: a remote-sensing-based multiobjective approach. Journal of Cleaner Production, 265:121792. (Online first) [doi: https://doi.org/10.1016/j.jclepro.2020.121792]
Farmland ; Water management ; Remote sensing ; Irrigation water ; Sustainable agriculture ; Crop water use ; Water requirements ; Water use efficiency ; Water allocation ; Water productivity ; Water supply ; Virtual water ; Evapotranspiration ; Precipitation ; Ecosystem services ; Economic aspects / China / Heihe River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H049765)
(4.19 MB)
This paper developed a remote-sensing-based multiobjective (RSM) approach to formulate sustainable agricultural land and water resources management strategies at a grid scale. To meet the spatial resolution and accuracy need of agricultural management, downscaled precipitation data sets were obtained with the help of global precipitation measurement (GPM) data and other spatial information. Spatial crop water requirement information were obtained via the combination use of the Penman-Monteith method, remote sensing information (MOD16/PET) and virtual water theory. Through integrating these spatial data and considering the impact of different spatial environments on crop growth, a grid-based integer multiobjective programming (GIMP) model was developed to determine best suitable crop planting types at all grids. GIMP can simultaneously consider several conflicting objectives: crop growth suitability, crop spatial water requirements, and ecosystem service value. Further, GIMP results were inputted into a grid-based nonlinear fractional multiobjective programming (GNFMP) model with three objectives: maximize economic benefits, maximize water productivity, and minimize blue water utilization, to optimize irrigation-water allocation. To verify the validity of the proposed approach, a real-world application in the middle reaches of Heihe River Basin, northwest China was conducted. Results show that the proposed method can improve the ecosystem service value by 0.36 × 108 CNY, the economic benefit by 21.85%, the irrigation-water productivity by 25.92%, and reduce blue water utilization rate by 24.32% comparing with status quo.
6 Yuan, S.; Li, X.; Du, E. 2021. Effects of farmers’ behavioral characteristics on crop choices and responses to water management policies. Agricultural Water Management, 247:106693. (Online first) [doi: https://doi.org/10.1016/j.agwat.2020.106693]
Cropping patterns ; Choice of species ; Agriculture ; Water management ; Water policy ; Farmers' attitudes ; Decision making ; Water use ; Maize ; Wheat ; Crop yield ; River basins ; Models / China / Heihe River Basin / Zhangye / Ganzhou / Linze / Gaotai
(Location: IWMI HQ Call no: e-copy only Record No: H050239)
(8.24 MB)
Understanding farmers’ decision-making on crop choices and water use is essential for agricultural water resource management. However, previous studies have limited understanding of how farmers’ behavioral characteristics affect their crop choices and water use in agricultural systems. To fill this research gap, in this study we develop an agent-based model (ABM) that incorporates two types of behavioral characteristics (i.e., perception to the uncertainty in future crop prices, planting cost and precipitation, and tolerance to the variation of crop profits) to investigate their effects on crop choices and water use under the influence of water management policies. The ABM is applied to the Heihe River Basin (HRB), an arid endorheic river basin in northwestern China as a demonstration. The modeling results show that farmers with adventurous perceptions and high tolerance level (Type I) tend to choose high-profit crops. They are more likely to have a single-crop pattern with high crop profits and high water consumption. In comparison, farmers with cautious perceptions and low tolerance level (Type II) prefer steady profit crops. They typically pay more attention to the variation of crop profits, resulting in a mixed crop pattern with low crop profits and low water consumption. In addition, the two types of farmers exhibit varied responses to water management policies. The Type I farmers are more sensitive to the changes in the volume of water permits and irrigation efficiency, and as a result, are more sensitive to the changes of water management policies than the Type II farmers do. We also find that the effects of farmers’ behavioral characteristics vary at the irrigation district level, county level and entire study area level. These findings emphasize the importance of incorporating farmers’ behavioral characteristics into crop choice and water use models. The modeling result could provide policy implications for designing location-based water management policies that account for the heterogeneity in farmers’ behavioral characteristics and responses to water policies.
7 Dai, X.; Garrick, D.; Svensson, J.; Li, J.; Yue, Q. 2023. Performance evaluation of China's agricultural water rights markets (2002–2020) Water Policy, 25(12):1187-1205. [doi: https://doi.org/10.2166/wp.2023.232]
Water rights ; Water markets ; Agricultural water use ; Performance assessment ; Sustainability ; Economic development ; Water supply ; Water conservation ; Villages ; Irrigation water ; Surface water ; Evaluation ; Indicators / China / Zhangye / Heihe River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H052457)
https://iwaponline.com/wp/article-pdf/25/12/1187/1344911/025121187.pdf
https://vlibrary.iwmi.org/pdf/H052457.pdf
https://vlibrary.iwmi.org/pdf/H052457.pdf
(0.72 MB) (740 KB)
The water rights market has been promoted in China since 2000. The lack of data and suitable evaluation methods impeded efforts to evaluate the market performance systematically. This research examines the characteristics, performance, and variation of China's agricultural water rights market (AWRM) on the basis of data from the field investigation, China Water Exchange, academic literature, and policy documents. We construct a comprehensive evaluation index system from the aspects of efficiency, fairness, and sustainability and quantitatively evaluate the performance of seven typical agricultural water markets in China. From 2002 to 2020, there were 1,752 cases of agricultural water transactions in China, with a total trading volume of 10.09 million m3. The market scale is increasing and the development of AWRM can be divided into three stages. Most agricultural water rights transactions happened in the west and the north. The average performance of typical AWRMs was poor. Typical water markets had the highest score for fairness and the lowest score for sustainability. Water markets in the humid areas performed the best, whereas the markets in the higher transaction level performed better. Water markets in areas with higher economic development had better performance.
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