Your search found 8 records
1 Vandewiele, G. L.; Xu, C. Y.; Huybrechts, W. 1991. Regionalisation of physically-based water balance models in Belgium: Application to ungauged catchments. Water Resources Management, 5(3&4):199-208.
Water balance ; Models ; Catchment areas
(Location: IWMI-HQ Call no: PER Record No: H010243)

2 Xu, C. Y.; Vandewiele, G. L. 1995. Parsimonious monthly rainfall-runoff models for humid basins with different input requirements. Advances in Water Resources, 18(1):39-48.
Rainfall-runoff relationships ; Mathematical Models ; Forecasting ; Water shortage ; Evapotranspiration ; Precipitation ; Statistical analysis
(Location: IWMI-HQ Call no: PER Record No: H016240)

3 Xu, C. Y.; Singh, V. P. 1998. A review on monthly water balance models for water resources investigations. Water Resources Management, 12(1):31-50.
Water resources ; Water balance ; Models ; Hydrology ; Precipitation ; Evapotranspiration ; Runoff ; Watersheds ; Flow ; Forecasting ; Rain ; Climate ; Assessment
(Location: IWMI-HQ Call no: PER Record No: H022196)

4 Xu, C. Y.. 1999. Estimation of parameters of a conceptual water balance model for ungauged catchments. Water Resources Management, 13(5):353-368.
Catchment areas ; Water balance ; Simulation models ; Runoff / Sweden / Belgium
(Location: IWMI-HQ Call no: PER Record No: H025699)

5 Xu, C. Y.. 2000. Modelling the effects of climate change on water resources in central Sweden. Water Resources Management, 14(3):177-189.
Water resources ; Climate ; Catchment areas ; Hydrology ; Water balance ; Simulation models ; Runoff ; Evapotranspiration ; Precipitation / Sweden
(Location: IWMI-HQ Call no: PER Record No: H027297)

6 Xu, C.-Y.. 2001. Statistical analysis of parameters and residuals of a conceptual water balance model: Methodology and case study. Water Resources Management, 15(2):75-92.
Water balance ; Hydrology ; Models ; Calibrations ; Statistical analysis ; River basins ; Catchment areas ; Case studies / Sweden / StabbybScken River Basin
(Location: IWMI-HQ Call no: PER Record No: H029402)

7 Xu, C. Y.; Singh, V. P. 2002. Cross comparison of empirical equations for calculating potential evapotranspiration with data from Switzerland. Water Resources Management, 16(3):197-219.
Evapotranspiration ; Soil temperature ; Models ; Calibrations ; Optimization / Switzerland
(Location: IWMI-HQ Call no: PER Record No: H030545)
https://vlibrary.iwmi.org/pdf/H_30545.pdf

8 Li, H.; Xu, C.-Y.; Beldring, S.; Tallaksen, L. M.; Jain, S. K. 2016. Water resources under climate change in Himalayan basins. Water Resources Management, 30(2):843-859. [doi: https://doi.org/10.1007/s11269-015-1194-5]
Climate change ; Water resources ; Forecasting ; Hydrology ; Glaciers ; Models ; River basins ; Runoff ; Precipitation ; Temperature ; Population growth ; Uncertainty / India / Bhutan / Himalayan Basin / Chamkhar Chhu Basin / Beas Basin
(Location: IWMI HQ Call no: e-copy only Record No: H047756)
https://vlibrary.iwmi.org/pdf/H047756.pdf
(1.58 MB)
Climate change has significant implications for glaciers and water resources in the Himalayan region. There is an urgent need to improve our current knowledge and methods in quantifying changes in water resources in this region. This study uses an integrated approach that couples a hydrological model and a glacier retreat model to assess the future water resources for two Himalayan basins. They are the Chamkhar Chhu basin in Bhutan (Eastern Himalayas) and the Beas basin in India (Western Himalayas). The future climate is simulated by two Regional Climate Models (RCMs) for south Asia under three Representative Concentration Pathways (Rcp2.6, Rcp4.5 and Rcp8.5). The six climate projections for the period 2010–2100 indicate significant warming effects; however, projected changes in precipitation are not consistent. Discrepancies in precipitation are noteworthy between the RCMs and greenhouse gases emissions scenarios. The glaciers in the Chamkhar Chhu basin are predicted to disappear or reduce to a small size before the 2050s, whereas the glaciers in the Beas basin are expected to lose mass before the 2060s, and afterwards to gain mass under Rcp2.6 and Rcp4.5, or to melt at a high rate under Rcp8.5. The available water resources per capita of two basins are projected to decrease in the period 2010–2050. The decreasing water resources are jointly induced by climate change and population growth. The latter is responsible for roughly 40 % of the water declines. Both basins are facing water shortages at present and the water shortages will intensify in the future.

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