Your search found 8 records
1 Wang, R.; Ren, H.; Ouyang, Z. (Eds.) 2000. China water vision: The eco-sphere of water, life, environment and development. Beijing, China: China Meteorological Press. iv, 178p.
Water resources ; Water use ; Water stress ; Irrigated farming ; Urbanization ; Environmental effects ; Water pollution ; Natural disasters ; Flood water ; Drought ; Ecosystems ; Economic aspects ; Water demand ; Watershed management ; River basins ; Institutional development ; Strategy planning ; Wastewater ; Water reuse / China / Yellow River Basin
(Location: IWMI-HQ Call no: 333.91 G592 WAN Record No: H026832)
2 Wang, R.; Ouyang, Z. 2000. Water-man complex ecosystem. In Wang, R.; Ren, H.; Ouyang, Z. (Eds.), China water vision: The eco-sphere of water, life, environment and development. Beijing, China: China Meteorological Press. pp.37-51.
(Location: IWMI-HQ Call no: 333.91 G592 WAN Record No: H026834)
3 Fu, G.; Min, Q.; Ouyang, Z.; Wang, X.; Wang, R.; Zhang, Q. 2000. China water security scenario. In Wang, R.; Ren, H.; Ouyang, Z. (Eds.), China water vision: The eco-sphere of water, life, environment and development. Beijing, China: China Meteorological Press. pp.52-82.
Water use efficiency ; Food security ; Population ; Water demand ; Economic aspects ; Environmental effects ; Water availability / China
(Location: IWMI-HQ Call no: 333.91 G592 WAN Record No: H026835)
4 Wang, R.; Ouyang, Z.; Fu, G.; Min, Q.; Wang, X.; Hu, D. 2000. Risk and opportunity: Summary of China water vision in the first quarter of 21st century. In Wang, R.; Ren, H.; Ouyang, Z. (Eds.), China water vision: The eco-sphere of water, life, environment and development. Beijing, China: China Meteorological Press. pp.164-172.
(Location: IWMI-HQ Call no: 333.91 G592 WAN Record No: H026838)
5 Pan, T.; Wang, R.. 2003. Study on dynamic recurrent neural networks and its application to agricultural water resources. In ICID Asian Regional Workshop, Sustainable Development of Water Resources and Management and Operation of Participatory Irrigation Organizations, November 10-12, 2003, The Grand Hotel, Taipei. Vol.1. Taipei, Taiwan: ICID. pp.265-276.
Networks ; Simulation models ; Calibration ; Rainfall-runoff relationships ; Irrigation water / Taiwan / Wu-Tu Watershed
(Location: IWMI-HQ Call no: ICID 631.7.2 G570 ICI Record No: H033351)
6 Wang, R.; Ren, H.; Ouyang, Z. (Eds.) 2000. China water vision: the eco-sphere of water, life, environment and development. Beijing, China: China Meteorological Press. 178p.
Water resources ; Environmental effects ; Water stress ; Water security ; Water pollution ; Water use ; Irrigation water ; Ecosystems ; Economic aspects ; Models ; Wastewater treatment ; Flooding ; Drought / China / Yangtze River Basin / Yellow River Basin
(Location: IWMI HQ Call no: 333.91 G592 WAN Record No: H043798)
(0.13 MB)
7 Zhang, K.; Sun, X.; Jin, Y.; Liu, J.; Wang, R.; Zhang, S. 2020. Development models matter to the mutual growth of ecosystem services and household incomes in developing rural neighborhoods. Ecological Indicators, 115:106363. (Online first) [doi: https://doi.org/10.1016/j.ecolind.2020.106363]
Ecosystem services ; Household income ; Rural development ; Urbanization ; Sustainable development ; Forest cover ; Land use ; Indicators ; Policies ; Villages / China / Shandong
(Location: IWMI HQ Call no: e-copy only Record No: H049707)
(1.48 MB)
In the context of rapid urbanization, many rural communities are experiencing dramatic increases in the proportion of construction land, leading to the diminishment of ecosystem services. Conflicting development goals are a primary challenge to sustainable rural development. Increasing household income is a primary rural development concern and harmonizing the relationship between sustaining ecosystem services and increasing household incomes is critical for rural communities. To understand the factors which influence ecosystem services, household income and their mutual growth, an assessment of ecosystem services bound to land-use was carried out in 30 villages in the rapidly developing Shandong Province in eastern China. In this survey the impacts of different land use and development models on the mutual growth of ecosystem services and rural household incomes was analyzed. The results show significant variation in both ecosystem services and household incomes resulting from the implementation of four different development models. The sole ecotourism village in the survey was found to have the highest ecosystem services and household incomes, while ecological protection villages had higher ecosystem services but lower household incomes. Development models may influence ecosystem services by changing land use, and forest cover was the most important influencing factor. It was found that the Type A model, consisting of high forest cover and high marketization of ecosystem services, promoted the mutual growth of ecosystem services and household incomes. These findings suggest that appropriate development models can lead to the harmonious mutual growth of ecosystem services and rural household incomes. We argue that the methods used in this study can help improve rural management in China and elsewhere.
8 Wang, R.; Liu, Y. 2020. Recent declines in global water vapor from MODIS products: artifact or real trend? Remote Sensing of Environment, 247:111896. (Online first) [doi: https://doi.org/10.1016/j.rse.2020.111896]
Water vapour ; Moderate Resolution Imaging Spectroradiometer ; Models ; Evaluation ; Remote sensing ; Satellites ; Climate change ; Trends ; Observation
(Location: IWMI HQ Call no: e-copy only Record No: H049758)
(6.62 MB)
Atmospheric water vapor plays a key role in the global water and energy cycles. Accurate estimation of water vapor and consistent representation of its spatial-temporal variation are critical to climate analysis and model validation. This study used ground observational data from global radiosonde and sunphotometer networks to evaluate MODIS (MODerate-resolution Imaging Spectroradiometer) precipitable water vapor (PWV) products for 2000–2017. The products included the thermal-infrared (TIR) (Collection 6, C006) and its updated version (Collection 061, C061), and near-infrared (NIR) products (C061). Our results demonstrated that compared to its earlier version subject to sensor crosstalk problem, the C061_TIR data showed improved accuracy in terms of bias, standard deviation, mean absolute error, root mean square error, and coefficient of determination, regression slope and intercept. Among the PWV products, C061_NIR data achieved the best overall performance in accuracy evaluation. The C061_NIR revealed the PWV had a multi-year average of 2.50 ± 0.08 cm for the globe, 2.03 ± 0.06 cm for continents, and 2.70 ± 0.09 cm for oceans in 2000–2017. The PWV values yielded an increasing rate of 0.015 cm/year for the globe, 0.010 cm/year for continents, and 0.017 cm/year for oceans. Nearly 98.95% of the globe showed an increasing trend, 80.74% of statistical significance, mainly distributed within and around the tropical zones. The findings should be valuable for understanding of global water and energy cycles.
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