Your search found 6 records
1 Wei, J.; Lin, Z. H.; Xia, J.; Tao, S. Y. 2005. Interannual and interdecadal variability of atmospheric water vapor transport in the Haihe River Basin. Pedosphere, 15(5):585-594.
(Location: IWMI-HQ Call no: PER Record No: H037921)
2 Yuan, F.; Xie, Z. H.; Liu, Q.; Xia, J. 2005. Simulating hydrologic changes with climate change scenarios in the Haihe River Basin. Pedosphere, 15(5):595-600.
River basins ; Climate change ; Hydrology ; Simulation models ; Calibration ; Runoff / China / Haihe River Basin
(Location: IWMI-HQ Call no: PER Record No: H037922)
3 Xia, J.; Feng, H. L.; Zhan, C. S.; Niu, C. W. 2006. Determination of a reasonable percentage for ecological water-use in the Haihe River Basin, China. Pedosphere, 16(1):33-42.
(Location: IWMI-HQ Call no: PER Record No: H038417)
4 Liao, Yongsong; Giordano, Mark; de Fraiture, Charlotte. 2007. An empirical analysis of the impacts of irrigation pricing reforms in China. Water Policy, 9(Supplement 1):45-60.
Irrigation management ; Cost recovery ; Water policy ; Irrigation efficiency ; Farm income ; Rice ; Wheat ; Maize ; Canals ; Water distribution ; Water user associations / China / Wudu Irrigation District / Yangtze River Basin / Jinghuiqu Irrigation District / Shijin Irrigation District / Haihe River Basin
(Location: IWMI HQ Call no: IWMI 631.7.4 G592 LIA, PER Record No: H040231)
5 Mathur, G. N.; Chawla, A. S. (Eds.) 2005. Water for sustainable development - towards innovative solutions: proceedings of the XII World Water Congress, New Delhi, India, 22-25 November 2005. Vol. 3. New Delhi, India: Central Board of Irrigation and Power; Montpellier, France: International Water Resources Association (IWRA). 526p.
Water governance ; Water management ; International waters ; Agreements ; Conflicts ; Groundwater extraction ; Water quality ; Water law ; Water rights ; Water use ; Water security ; Water scarcity ; Wastewater ; River basins ; Water conservation ; Water distribution ; Water supply ; Sanitation ; Watersheds ; Poverty ; Economic growth ; Environmental protection ; Urban development ; Community involvement ; Women ; Financing ; Climate change ; Natural disasters ; Irrigation management ; Participatory management / Asia / Central Asia / Middle East / Cambodia / India / North Africa / South Africa / Sri Lanka / Thailand / Nepal / Malaysia / Mexico / Canada / North China / Tonle Sap Lake / Andhra Pradesh / New Delhi / Bangkok / Colorado River Basin / Haihe River Basin
(Location: IWMI HQ Call no: 333.91 G000 MAT Record No: H045959)
(0.53 MB)
6 Bai, P; Guo, X. 2023. Development of a 60-year high-resolution water body evaporation dataset in China. Agricultural and Forest Meteorology, 334:109428. [doi: https://doi.org/10.1016/j.agrformet.2023.109428]
Evapotranspiration ; Datasets ; Lakes ; Models ; Hydrological cycle ; Uncertainty ; Water balance ; Precipitation ; Water reservoirs ; Water temperature / China / Songhuajiang and Liaohe River Basin / Haihe River Basin / Yellow River Basin / Huaihe River Basin / Yangtze River Basin / Southeast River Basin / Pearl River Basin / Southwest River Basin / Northwest River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H051845)
(10.90 MB)
Evaporation from water bodies (Ew) is a critical component of the global water cycle. However, existing evaporation products that include Ew often suffer from drawbacks such as coarse resolution, short time span, and high uncertainty. This study developed a 60-year (1960–2019) high-resolution (0.05º×0.05º) evaporation dataset for small shallow water bodies in China based on the Penman model. Two key factors affecting the accuracy of the Penman model were considered: the uncertainty of the empirical wind function and changes in heat storage in the water body. Specifically, we used large-size (20 or 100 m2) pan evaporation (Epan) observations from 21 sites as a benchmark to correct the wind function of the Penman model. A data-driven model was then developed to map the spatial distribution of the wind function coefficients across China. The corrected wind function significantly improved the accuracy of Epan estimates compared to the original wind function, with the Kling-Gupta efficiency (KGE) increased by 0.05~0.10. To model the effect of heat storage changes on evaporation, an equilibrium temperature method was used. We also introduced an area-dependent scaling factor into the wind function to account for the effect of water body's size on Ew estimation. The reliability of the Ew algorithm was tested on two lakes using eddy-covariance flux observations, and simulations showed good agreement with observations. The Epan (20 m2 pan) dataset and its two components calculated from the radiative and aerodynamic terms of the Penman model can be accessed at https://osf.io/qd28m/. Users can utilize the two Epan components and the area-dependent scaling factor to estimate evaporation for water bodies of varying sizes. However, caution is needed when applying this dataset to deep water bodies, as it is designed for shallow water bodies.
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