Your search found 9 records
1 Wang, G.; Sun, Z. 1991. Optimized utilization of water resources in Jintai irrigation area with MMLP method. In ICID, The Special Technical Session Proceedings, Beijing, China, April 1991. Vol.1-B: Operation of irrigation systems. New Delhi, India: ICID. pp.136-146.
Water use ; Water resources ; Soil water relations ; Soil salinity ; Optimization methods ; Models ; Drainage ; Groundwater / China
(Location: IWMI-HQ Call no: ICID 631.7 G000 ICI Record No: H014735)
2 Peng, S.; Buresh, R.; Huang, J.; Yang, J.; Wang, G.; Zhong, X.; Zou, Y. 2003. Principles and practices of real-time nitrogen management: A case study on irrigated rice in China. In Mew, T. W.; Brar, D. S.; Peng, S.; Dawe, D.; Hardy, B. (Eds.), Rice science: Innovations and impact for livelihood. Manila, Philippines: IRRI. pp.433-446.
(Location: IWMI-HQ Call no: 633.18 G000 MEW Record No: H035025)
3 Cabangon, R. J.; Tuong, T. P.; Castillo, E. G.; Bao, L. X.; Lu, G.; Wang, G.; Cui, Y.; Bouman, B. A. M.; Li, Y.; Chen, C.; Wang, J. 2004. Effect of irrigation method and N-fertilizer management on rice yield, water productivity and nutrient-use efficiencies in typical lowland rice conditions in China. Paddy and Water Environment, 2:195-206.
Rice ; Paddy fields ; Crop yield ; Irrigated farming ; Experiments ; Water balance ; Productivity ; Fertilizers ; Nitrogen ; Climate / China
(Location: IWMI-HQ Call no: P 7105 Record No: H035933)
4 Wang, G.; Xia, J.; Wu, B. 2004. Two-dimensional composite mathematical alluvial model for the braided reach in the Lower Yellow River. Water International, 29(4):455-466.
(Location: IWMI-HQ Call no: PER Record No: H036713)
5 Wang, G.; Wei, J.; Zhang, Y. 2004. Analysis of the sustainability of the development of a small phreatic aquifer in Northern China. Water International, 29(4):467-474.
(Location: IWMI-HQ Call no: PER Record No: H036714)
6 Guo, S.; Chen, H.; Zhang, H.; Xiong, L.; Liu, P.; Pang, B.; Wang, G.; Wang, Y. 2005. A semi-distributed monthly water balance model and its application in a climate change impact study in the Middle and Lower Yellow River Basin. Water International, 30(2):250-260.
River basins ; Water balance ; Models ; Runoff ; Evapotranspiration ; GIS ; Climate change / China / Yellow River
(Location: IWMI-HQ Call no: PER Record No: H037855)
7 Liu, B. R.; Jia, G. M.; Chen, J.; Wang, G.. 2006. A review of methods for studying microbial diversity in soils. Pedosphere, 16(1):18-24.
(Location: IWMI-HQ Call no: PER Record No: H038415)
8 Barron, Jennie; Kemp-Benedict, E.; Morris. J.; de Bruin, A.; Wang, G.; Fencl, A. 2015. Mapping the potential success of agricultural water management interventions for smallholders: where are the best opportunities? Water Resources and Rural Development, 6:24-49. (Special issue: Managing Rainwater and Small Reservoirs in Sub-Saharan Africa). [doi: https://doi.org/10.1016/j.wrr.2015.06.001]
Agriculture ; Water management ; Smallholders ; Farming systems ; Small scale farming ; Rainfed farming ; Rainwater ; Water harvesting ; Reservoir operation ; Bayesian theory ; Technology transfer ; River basins ; Smallholders ; Farmers ; Soil water ; Water conservation ; Climate change / Southern Africa / Limpopo River Basin / Volta River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H047100)
(1.35 MB)
From field to basin scales, there are many appropriate interventions used to manage rainfall efficiently and productively in smallholder farming systems. Yet, successful targeting and scaling-out of these approaches remains a challenge. This paper presents an innovative approach in decision support called ‘Targeting Agricultural Water Management Interventions’ (TAGMI) that addresses this challenge with application in Limpopo and Volta river basins (available at www.seimapping.org/tagmi). The online open-access TAGMI uses country-scale Bayesian network models to assess the likelihood of success for outscaling various agricultural water management (AWM) interventions at sub-national level. The web tool integrates multiple sources of expertise on the enabling environment for outscaling based on key social, human, physical, financial, and natural factors. It estimates the relative probability of success of an AWM intervention across the Limpopo and Volta river basins. Here we present TAGMI as a ‘proof of concept’, current areas of high, medium, and low probability of success for three AWM technologies common in Limpopo and Volta River Basins: the soil water conservation/in situ rainwater harvesting technologies in rain-fed systems, small-scale private irrigation and small reservoirs used for communal irrigation purposes. We then apply a climate change scenario and discuss the robustness in potential AWM, according to the TAGMI tool. Finally, we discuss the need for further development of DSS for AWM interventions, and the need for generic or specific information on ‘best practices of implementation’ for successful uptake of technologies in poverty-constrained smallholder farming systems.
9 Ahmed, N.; Zhu, L.; Wang, G.; Adeyeri, O. E.; Shah, S.; Ali, S.; Marhaento, H.; Munir, Sarfraz. 2023. Occurrence and distribution of long-term variability in precipitation classes in the source region of the Yangtze River. Sustainability, 15(7):5834. (Special issue: Hydro-Meteorology and its Application in Hydrological Modeling) [doi: https://doi.org/10.3390/su15075834]
Climate change ; Precipitation ; Trends ; Rivers ; Rainfall ; Drought ; Time series analysis ; Hydrological factors ; Dry spells ; Vegetation / China / Yangtze River
(Location: IWMI HQ Call no: e-copy only Record No: H051888)
https://www.mdpi.com/2071-1050/15/7/5834/pdf?version=1679974417
https://vlibrary.iwmi.org/pdf/H051888.pdf
https://vlibrary.iwmi.org/pdf/H051888.pdf
(6.22 MB) (6.22 MB)
Various precipitation-related studies have been conducted on the Yangtze River. However, the topography and atmospheric circulation regime of the Source Region of the Yangtze River (SRYZ) differ from other basin parts. Along with natural uniqueness, precipitation constitutes over 60% of the direct discharge in the SRYZ, which depicts the decisive role of precipitation and a necessary study on the verge of climate change. The study evaluates the event distribution of long-term variability in precipitation classes in the SRYZ. The precipitation was classified into three precipitation classes: light precipitation (0–5 mm, 5–10 mm), moderate precipitation (10–15 mm, 15–20 mm, 20–25 mm), and heavy precipitation (>25 mm). The year 1998 was detected as a changing year using the Pettitt test in the precipitation time series; therefore, the time series was divided into three scenarios: Scenario-R (1961–2016), the pre-change point (Scenario-I; 1961–1998), and the post-change point (Scenario-II; 1999–2016). Observed annual precipitation amounts in the SRYZ during Scenario-R and Scenario-I significantly increased by 13.63 mm/decade and 48.8 mm/decade, respectively. The same increasing trend was evident in seasonal periods. On a daily scale, light precipitation (0–5 mm) covered most of the days during the entire period, with rainy days accounting for 83.50%, 84.5%, and 81.30%. These rainy days received up to 40%, 41%, and 38% of the annual precipitation during Scenario-R, Scenario-I, and Scenario-II, respectively. Consequently, these key findings of the study will be helpful in basin-scale water resources management.
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