Your search found 7 records
1 Kok, G. J. G.; Jarigsma, S. 2000. Changes in Huaihe water sector, China: A new institutional approach to wastewater treatment. Land and Water International, 97:8-10.
Water supply ; Water quality ; Water pollution ; Wastewater ; Pollution control ; Water rates ; Pricing ; Privatization / China / Huaihe River Basin
(Location: IWMI-HQ Call no: P 5457 Record No: H026063)
2 Hailun, Z. 2003. Policy study on water management in the Huaihe River Basin. In Yellow River Conservancy Commission. Proceedings, 1st International Yellow River Forum on River Basin Management – Volume I. Zhengzhou, China: The Yellow River Conservancy Publishing House. pp.46-50.
River basin development ; Water resource management ; Policy ; Legal aspects ; Institution building ; Social participation ; Water allocation ; Water rights / China / Huaihe River Basin
(Location: IWMI-HQ Call no: 333.91 G592 YEL Record No: H033770)
3 The Huaihe River Commission of MWR. 2003. The achievements, problems and countermeasures for the management of the Huaihe River Basin. In Yellow River Conservancy Commission. Proceedings, 1st International Yellow River Forum on River Basin Management – Volume I. Zhengzhou, China: The Yellow River Conservancy Publishing House. pp.197-209.
River basins ; Water resource management ; Planning ; Flood control ; Ecology ; Environmental effects / China / Huaihe River Basin
(Location: IWMI-HQ Call no: 333.91 G592 YEL Record No: H033789)
4 ESCAP. 2005. Good practices on strategic planning and management of water resources in Asia and the Pacific. Bangkok, Thailand: ESCAP. ix, 270p. (ESCAP Water resources series No.85)
Water resource management ; Water resources development ; Strategy planning ; Water use efficiency ; River basins ; Public policy ; Legal aspects ; Institutions ; Water quality / Asia / Pacific Islands / China / Fiji / Laos / Malaysia / Myanmar / Pakistan / Philippines / Sri Lanka / Thailand / Vietnam / Huaihe River Basin / Nadi River / Langat River Basin / Vu Gia-Thu Bon Basin
(Location: IWMI-HQ Call no: 333.91 G570 ESC Record No: H038959)
5 Hailun, Z. 2005. Strategic study for water management in China. Nanjing, China: Southeast University Press. 129p.
Water resource management ; Water law ; Water policy ; Water allocation ; Water use ; Rivers ; Flood control ; Drought / China / Huaihe River Basin / Shanxi Province
(Location: IWMI-HQ Call no: 333.91 G592 HAI Record No: H039001)
6 Hailun, Z. 2005. Strategic study for water management in China. Nanjing, China: Southeast University Press. 129p.
Water management ; Water demand ; Water use ; Legislation ; Legal aspects ; Corporate culture ; Water allocation ; Flood control ; Drought ; Statistics ; River basins ; Capacity building / China / Huaihe River Basin / Shanxi Province
(Location: IWMI HQ Call no: 333.91 G592 HAI Record No: H043899)
(0.11 MB)
7 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.
Powered by DB/Text WebPublisher, from
