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2nd International Conference on the Status and Future of the 
World‘s Large Rivers 
21-25 July, 2014 Manaus, Amazon, Brazil 
Will Climate Change Impact 
Water Resources Development 
in Nepal? 
Case Study: Koshi Basin 
Presenting Author: L. Bharati 
Co-Authors: U. Bhattarai, V. Dahal, P. Gurung and V. Smakhtin 
International Water management Institute (IWMI) 
L. BL.Bharati, U. Bhattarai, V. Dahal , P. Gurung and V. Smakhtin
2nd International Conference on the Status and Future of the 
World‘s Large Rivers 
21-25 July, 2014 Manaus, Amazon, Brazil 
The Context 
• Nepal is one of the most water abundant countries in the 
world with total mean annual runoff of 224 billion cubic 
meters (BCM) and per capita water availability of 9,000 m3. 
• There is large temporal and spatial variation in water 
availability. 80-90% of rainfall is during the four monsoon 
months (June-Sept.) 
• All this water then rushes through the system, very often 
creating flooding problems in the wet season and water 
scarcity in the dry season. 
• Water resources remain a particularly under-developed sector 
–Nepal is currently only utilizing 7% of its annual water 
availability (14% in the Koshi Basin). 24% of arable land is 
irrigated and out of 43,000 MW hydropower potential, only 
689 MW has been developed 
• The impact of CC is a much discussed topic esp. on how it 
might affect future development 
L. BL.Bharati, U. Bhattarai, V. Dahal , P. Gurung and V. Smakhtin 
Photo: Tom van Cakenberghe / IWMI
2nd International Conference on the Status and Future of the 
World‘s Large Rivers 
21-25 July, 2014 Manaus, Amazon, Brazil 
Koshi Basin 
• Koshi Basin (87,311 km2): 
Transboundary basin-Largest 
contributor to the Ganges river 
• The elevation of the basin varies 
from about 20m in the plains in 
India to more than 8,000 m in the 
Great Himalayan Range. Mount 
Everest (8,848 m) is also located in 
the basin. 
• The basin in the Nepal part is 
undeveloped but there are plans to 
build multiple water 
infrastructure. 
L. BL.Bharati, U. Bhattarai, V. Dahal , P. Gurung and V. Smakhtin
2nd International Conference on the Status and Future of the 
World‘s Large Rivers 
21-25 July, 2014 Manaus, Amazon, Brazil 
Objectives 
• Resource assessment i.e. water availability vs. 
water use at sub-basin level (SWAT and WEAP) 
• Impact of CC 
• Future basin development scenarios- risks, 
vulnerabilities, opportunities etc. 
L. BL.Bharati, U. Bhattarai, V. Dahal , P. Gurung and V. Smakhtin
2nd International Conference on the Status and Future of the 
World‘s Large Rivers 
21-25 July, 2014 Manaus, Amazon, Brazil 
SWAT Model: Calibration and 
Validation Station Index Calibration Validation 
Turkeghat (#604.5) 
[Arun River] 
R2 0.81 0.67 
NSE 0.81 0.61 
PBIAS % -6.81 25.79 
Majhitar (#684) 
[Tamor River] 
R2 0.66 0.67 
NSE 0.65 0.58 
PBIAS % 7.52 -4.31 
Pachuwarghat (#630) 
[Sunkoshi River] 
R2 0.74 0.71 
NSE 0.72 0.65 
PBIAS % -2.06 5.42 
Padherodovan (#589) 
[Bagmati River] 
R2 0.71 0.70 
NSE 0.71 0.67 
PBIAS % -7.89 -45.38 
Chatara (#695) 
[Saptakoshi] 
R2 0.86 0.83 
NSE 0.85 0.80 
PBIAS % -8.69 13.77 
Model performance is 
satisfactory. 
L. BL.Bharati, U. Bhattarai, V. Dahal , P. Gurung and V. Smakhtin
Water Balance: Current 
2nd International Conference on the Status and Future of the 
World‘s Large Rivers 
21-25 July, 2014 Manaus, Amazon, Brazil 
L. BL.Bharati, U. Bhattarai, V. Dahal , P. Gurung and V. Smakhtin
2nd International Conference on the Status and Future of the 
World‘s Large Rivers 
21-25 July, 2014 Manaus, Amazon, Brazil 
Projected Climate Data for Climate Change Study: 
Downscaled using MarkSim Weather Generator (RCM) 
(http://gismap.ciat.cgiar.org/MarkSimGCM/) 
- Average of CNRM-CM3, CSIRO-Mk3.5, ECHam5, and MIROC3.2 
- AR4-SRES: BL, A2 and B1 
- Period: 2000s (1971-2000) for BL 
2030s (2016-2045) for A2 and B1 
2050s (2036-2065) for A2 and B1 
- Variable: Rainfall, Temperature (Max & Min), Solar Radiation 
L. BL.Bharati, U. Bhattarai, V. Dahal , P. Gurung and V. Smakhtin
2nd International Conference on the Status and Future of the 
World‘s Large Rivers 
21-25 July, 2014 Manaus, Amazon, Brazil 
Simulated Seasonal Flow Contribution 
Simulated seasonal flow contribution in annual flow under current and future climate 
Under 2030s 
Projection 
L. BL.Bharati, U. Bhattarai, V. Dahal , P. Gurung and V. Smakhtin 
Under 2050s 
Projection
2nd International Conference on the Status and Future of the 
World‘s Large Rivers 
21-25 July, 2014 Manaus, Amazon, Brazil 
CC impacts are scale dependent-temporal 
• In the Koshi, in 2030s, annual flow volume will decrease by 2% under A2 
and will increase by 1% under the B1 projection scenario. 
. 
Table 1: Percentage change in projected flow volume at basin outlet Chatara-Kothu 
Period Scenario Pre-monsoon Monsoon Post-monsoon Winter Annual 
2030s A2 -16% -1% 7% -9% -2% 
B1 -12% 1% 15% -7% 1% 
2050s A2 -16% 3% 20% -9% 2% 
B1 -13% 3% 25% -2% 4% 
L. BL.Bharati, U. Bhattarai, V. Dahal , P. Gurung and V. Smakhtin
Percent change in flow volume during the a)winter, b)pre-monsoon, 
2nd International Conference on the Status and Future of the 
World‘s Large Rivers 
21-25 July, 2014 Manaus, Amazon, Brazil 
c)monsoon and d)post-monsoon seasons under the A2 climate projections for 
the 2030’s 
L. BL.Bharati, U. Bhattarai, V. Dahal , P. Gurung and V. Smakhtin
2nd International Conference on the Status and Future of the 
World‘s Large Rivers 
21-25 July, 2014 Manaus, Amazon, Brazil 
Results: Minimum, maximum and mean precipitation in the Central 
mountain region of the Koshi Basin for observed, baseline, A2 and B1 
projections for the 2030’s and 2050’s 
L. BL.Bharati, U. Bhattarai, V. Dahal , P. Gurung and V. Smakhtin
2nd International Conference on the Status and Future of the 
World‘s Large Rivers 
21-25 July, 2014 Manaus, Amazon, Brazil 
L. BL.Bharati, U. Bhattarai, V. Dahal , P. Gurung and V. Smakhtin
2nd International Conference on the Status and Future of the 
World‘s Large Rivers 
21-25 July, 2014 Manaus, Amazon, Brazil 
Future Climate Scenarios 
“…A new set of scenarios, the Representative Concentration 
Pathways (RCPs), was used for the new climate model simulations 
carried out under the framework of the Coupled Model Intercomparison 
Project Phase5 (CMIP5) of the World Climate Research 
Programme…” 
 RCPs are identified by their approximate total radiative forcing in 
year 2100 relative to 1750: 2.6 W/m2 for RCP2.6, 4.5 W/m2 for 
RCP4.5, 6.0 W/m2 for RCP6.0 and 8.5W/m2 for RCP8.5 
 RCP2.6 : mitigation scenario leading to a very low forcing level 
• Radiative forcing peaks and declines by 2100 
 RCP4.5 and RCP6.0 : stabilization scenario 
• Radiative forcing stabilizes by 2100 
 RCP8.5 : very high GHG emissions 
• Radiative forcing does not peak by 2100 Source: IPCC, 2013 
L. BL.Bharati, U. Bhattarai, V. Dahal , P. Gurung and V. Smakhtin
2nd International Conference on the Status and Future of the 
World‘s Large Rivers 
21-25 July, 2014 Manaus, Amazon, Brazil 
Future Climate Data Generation 
Basis for GCM selection 
 Model selection is based on 10th and 90th percentile values of projected 
changes in P and T from 1961-1990 to 2021-2050 
 Four corners of the dT-dP graph showing extreme scenarios for both the 
RCPs are selected  8 GCMs are selected 
L. BL.Bharati, U. Bhattarai, V. Dahal , P. Gurung and V. Smakhtin
2nd International Conference on the Status and Future of the 
World‘s Large Rivers 
21-25 July, 2014 Manaus, Amazon, Brazil 
CanESM2_rcp45 CanESM2_rcp85 
GFDL_ESM2G_rcp85 
Current 
L. BL.Bharati, U. Bhattarai, V. Dahal , P. Gurung and V. Smakhtin 
CCSM4_rcp45
Change in Future Precipitation 
2nd International Conference on the Status and Future of the 
World‘s Large Rivers 
21-25 July, 2014 Manaus, Amazon, Brazil 
L. BL.Bharati, U. Bhattarai, V. Dahal , P. Gurung and V. Smakhtin 
CanESM2_rcp4 
5 
CanESM2_rcp85 
CCSM4_rcp45 GFDL_ESM2G_rcp85
Change in Future Water Yield 
2nd International Conference on the Status and Future of the 
World‘s Large Rivers 
21-25 July, 2014 Manaus, Amazon, Brazil 
L. BL.Bharati, U. Bhattarai, V. Dahal , P. Gurung and V. Smakhtin 
CanESM2_rcp4 
5 
CanESM2_rcp85 
CCSM4_rcp45 GFDL_ESM2G_rcp85
2nd International Conference on the Status and Future of the 
World‘s Large Rivers 
21-25 July, 2014 Manaus, Amazon, Brazil 
Conclusions 
• Climate Change will not reduce the bulk water availability in the basin i.e. at 
annual or basin scale 
• Climate change will increase variability in the system so future water 
resource management needs to focus on managing variability 
• Store and transfer water seasonally i.e. from the monsoon into the dry 
season as well as spatially i.e. from water abundant to deficit areas are good 
solutions for the present as well as the future 
• Publications: 
– L. Bharati, P. Gurung, L. Maharjan and P. Jayakody. Forthcoming. Current and Future 
Variability in the Hydrological Regime of the Koshi Basin, Nepal. Forthcoming in 
Hydrological Sciences Journal 
– L. Bharati, P. Gurung, V. Smakhtin and P. Jayakody. 2014. The Impact of Climate Change on 
Water Resources Development in the Koshi Basin, Nepal. Mountain Research and 
Development 34 (2), 118-130 
L. BL.Bharati, U. Bhattarai, V. Dahal , P. Gurung and V. Smakhtin

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Will Climate Change Impact Water Resources Development in Nepal? Case Study: Koshi Basin

  • 1. 2nd International Conference on the Status and Future of the World‘s Large Rivers 21-25 July, 2014 Manaus, Amazon, Brazil Will Climate Change Impact Water Resources Development in Nepal? Case Study: Koshi Basin Presenting Author: L. Bharati Co-Authors: U. Bhattarai, V. Dahal, P. Gurung and V. Smakhtin International Water management Institute (IWMI) L. BL.Bharati, U. Bhattarai, V. Dahal , P. Gurung and V. Smakhtin
  • 2. 2nd International Conference on the Status and Future of the World‘s Large Rivers 21-25 July, 2014 Manaus, Amazon, Brazil The Context • Nepal is one of the most water abundant countries in the world with total mean annual runoff of 224 billion cubic meters (BCM) and per capita water availability of 9,000 m3. • There is large temporal and spatial variation in water availability. 80-90% of rainfall is during the four monsoon months (June-Sept.) • All this water then rushes through the system, very often creating flooding problems in the wet season and water scarcity in the dry season. • Water resources remain a particularly under-developed sector –Nepal is currently only utilizing 7% of its annual water availability (14% in the Koshi Basin). 24% of arable land is irrigated and out of 43,000 MW hydropower potential, only 689 MW has been developed • The impact of CC is a much discussed topic esp. on how it might affect future development L. BL.Bharati, U. Bhattarai, V. Dahal , P. Gurung and V. Smakhtin Photo: Tom van Cakenberghe / IWMI
  • 3. 2nd International Conference on the Status and Future of the World‘s Large Rivers 21-25 July, 2014 Manaus, Amazon, Brazil Koshi Basin • Koshi Basin (87,311 km2): Transboundary basin-Largest contributor to the Ganges river • The elevation of the basin varies from about 20m in the plains in India to more than 8,000 m in the Great Himalayan Range. Mount Everest (8,848 m) is also located in the basin. • The basin in the Nepal part is undeveloped but there are plans to build multiple water infrastructure. L. BL.Bharati, U. Bhattarai, V. Dahal , P. Gurung and V. Smakhtin
  • 4. 2nd International Conference on the Status and Future of the World‘s Large Rivers 21-25 July, 2014 Manaus, Amazon, Brazil Objectives • Resource assessment i.e. water availability vs. water use at sub-basin level (SWAT and WEAP) • Impact of CC • Future basin development scenarios- risks, vulnerabilities, opportunities etc. L. BL.Bharati, U. Bhattarai, V. Dahal , P. Gurung and V. Smakhtin
  • 5. 2nd International Conference on the Status and Future of the World‘s Large Rivers 21-25 July, 2014 Manaus, Amazon, Brazil SWAT Model: Calibration and Validation Station Index Calibration Validation Turkeghat (#604.5) [Arun River] R2 0.81 0.67 NSE 0.81 0.61 PBIAS % -6.81 25.79 Majhitar (#684) [Tamor River] R2 0.66 0.67 NSE 0.65 0.58 PBIAS % 7.52 -4.31 Pachuwarghat (#630) [Sunkoshi River] R2 0.74 0.71 NSE 0.72 0.65 PBIAS % -2.06 5.42 Padherodovan (#589) [Bagmati River] R2 0.71 0.70 NSE 0.71 0.67 PBIAS % -7.89 -45.38 Chatara (#695) [Saptakoshi] R2 0.86 0.83 NSE 0.85 0.80 PBIAS % -8.69 13.77 Model performance is satisfactory. L. BL.Bharati, U. Bhattarai, V. Dahal , P. Gurung and V. Smakhtin
  • 6. Water Balance: Current 2nd International Conference on the Status and Future of the World‘s Large Rivers 21-25 July, 2014 Manaus, Amazon, Brazil L. BL.Bharati, U. Bhattarai, V. Dahal , P. Gurung and V. Smakhtin
  • 7. 2nd International Conference on the Status and Future of the World‘s Large Rivers 21-25 July, 2014 Manaus, Amazon, Brazil Projected Climate Data for Climate Change Study: Downscaled using MarkSim Weather Generator (RCM) (http://gismap.ciat.cgiar.org/MarkSimGCM/) - Average of CNRM-CM3, CSIRO-Mk3.5, ECHam5, and MIROC3.2 - AR4-SRES: BL, A2 and B1 - Period: 2000s (1971-2000) for BL 2030s (2016-2045) for A2 and B1 2050s (2036-2065) for A2 and B1 - Variable: Rainfall, Temperature (Max & Min), Solar Radiation L. BL.Bharati, U. Bhattarai, V. Dahal , P. Gurung and V. Smakhtin
  • 8. 2nd International Conference on the Status and Future of the World‘s Large Rivers 21-25 July, 2014 Manaus, Amazon, Brazil Simulated Seasonal Flow Contribution Simulated seasonal flow contribution in annual flow under current and future climate Under 2030s Projection L. BL.Bharati, U. Bhattarai, V. Dahal , P. Gurung and V. Smakhtin Under 2050s Projection
  • 9. 2nd International Conference on the Status and Future of the World‘s Large Rivers 21-25 July, 2014 Manaus, Amazon, Brazil CC impacts are scale dependent-temporal • In the Koshi, in 2030s, annual flow volume will decrease by 2% under A2 and will increase by 1% under the B1 projection scenario. . Table 1: Percentage change in projected flow volume at basin outlet Chatara-Kothu Period Scenario Pre-monsoon Monsoon Post-monsoon Winter Annual 2030s A2 -16% -1% 7% -9% -2% B1 -12% 1% 15% -7% 1% 2050s A2 -16% 3% 20% -9% 2% B1 -13% 3% 25% -2% 4% L. BL.Bharati, U. Bhattarai, V. Dahal , P. Gurung and V. Smakhtin
  • 10. Percent change in flow volume during the a)winter, b)pre-monsoon, 2nd International Conference on the Status and Future of the World‘s Large Rivers 21-25 July, 2014 Manaus, Amazon, Brazil c)monsoon and d)post-monsoon seasons under the A2 climate projections for the 2030’s L. BL.Bharati, U. Bhattarai, V. Dahal , P. Gurung and V. Smakhtin
  • 11. 2nd International Conference on the Status and Future of the World‘s Large Rivers 21-25 July, 2014 Manaus, Amazon, Brazil Results: Minimum, maximum and mean precipitation in the Central mountain region of the Koshi Basin for observed, baseline, A2 and B1 projections for the 2030’s and 2050’s L. BL.Bharati, U. Bhattarai, V. Dahal , P. Gurung and V. Smakhtin
  • 12. 2nd International Conference on the Status and Future of the World‘s Large Rivers 21-25 July, 2014 Manaus, Amazon, Brazil L. BL.Bharati, U. Bhattarai, V. Dahal , P. Gurung and V. Smakhtin
  • 13. 2nd International Conference on the Status and Future of the World‘s Large Rivers 21-25 July, 2014 Manaus, Amazon, Brazil Future Climate Scenarios “…A new set of scenarios, the Representative Concentration Pathways (RCPs), was used for the new climate model simulations carried out under the framework of the Coupled Model Intercomparison Project Phase5 (CMIP5) of the World Climate Research Programme…”  RCPs are identified by their approximate total radiative forcing in year 2100 relative to 1750: 2.6 W/m2 for RCP2.6, 4.5 W/m2 for RCP4.5, 6.0 W/m2 for RCP6.0 and 8.5W/m2 for RCP8.5  RCP2.6 : mitigation scenario leading to a very low forcing level • Radiative forcing peaks and declines by 2100  RCP4.5 and RCP6.0 : stabilization scenario • Radiative forcing stabilizes by 2100  RCP8.5 : very high GHG emissions • Radiative forcing does not peak by 2100 Source: IPCC, 2013 L. BL.Bharati, U. Bhattarai, V. Dahal , P. Gurung and V. Smakhtin
  • 14. 2nd International Conference on the Status and Future of the World‘s Large Rivers 21-25 July, 2014 Manaus, Amazon, Brazil Future Climate Data Generation Basis for GCM selection  Model selection is based on 10th and 90th percentile values of projected changes in P and T from 1961-1990 to 2021-2050  Four corners of the dT-dP graph showing extreme scenarios for both the RCPs are selected  8 GCMs are selected L. BL.Bharati, U. Bhattarai, V. Dahal , P. Gurung and V. Smakhtin
  • 15. 2nd International Conference on the Status and Future of the World‘s Large Rivers 21-25 July, 2014 Manaus, Amazon, Brazil CanESM2_rcp45 CanESM2_rcp85 GFDL_ESM2G_rcp85 Current L. BL.Bharati, U. Bhattarai, V. Dahal , P. Gurung and V. Smakhtin CCSM4_rcp45
  • 16. Change in Future Precipitation 2nd International Conference on the Status and Future of the World‘s Large Rivers 21-25 July, 2014 Manaus, Amazon, Brazil L. BL.Bharati, U. Bhattarai, V. Dahal , P. Gurung and V. Smakhtin CanESM2_rcp4 5 CanESM2_rcp85 CCSM4_rcp45 GFDL_ESM2G_rcp85
  • 17. Change in Future Water Yield 2nd International Conference on the Status and Future of the World‘s Large Rivers 21-25 July, 2014 Manaus, Amazon, Brazil L. BL.Bharati, U. Bhattarai, V. Dahal , P. Gurung and V. Smakhtin CanESM2_rcp4 5 CanESM2_rcp85 CCSM4_rcp45 GFDL_ESM2G_rcp85
  • 18. 2nd International Conference on the Status and Future of the World‘s Large Rivers 21-25 July, 2014 Manaus, Amazon, Brazil Conclusions • Climate Change will not reduce the bulk water availability in the basin i.e. at annual or basin scale • Climate change will increase variability in the system so future water resource management needs to focus on managing variability • Store and transfer water seasonally i.e. from the monsoon into the dry season as well as spatially i.e. from water abundant to deficit areas are good solutions for the present as well as the future • Publications: – L. Bharati, P. Gurung, L. Maharjan and P. Jayakody. Forthcoming. Current and Future Variability in the Hydrological Regime of the Koshi Basin, Nepal. Forthcoming in Hydrological Sciences Journal – L. Bharati, P. Gurung, V. Smakhtin and P. Jayakody. 2014. The Impact of Climate Change on Water Resources Development in the Koshi Basin, Nepal. Mountain Research and Development 34 (2), 118-130 L. BL.Bharati, U. Bhattarai, V. Dahal , P. Gurung and V. Smakhtin