Scenario-based assessment and management of water resources in mid-Himalayan micro-watersheds with limited data availability;Evaluation et gestion des ressources hydriques de micro-bassins versants Himalayens de moyenne altitude à base de scénarios avec peu de données

Hydrological Sciences Journal

Volumn 54, Issue 6, 2009, Pages 1018-1034

  Sharda, V N ^a   Ojasvi, P R ^a   Dogra, Pradeep ^a   Prasher, Shiv O ^b   Patel, R ^b  

^a ICAR INDIAN INSTITUTE OF SOIL AND WATER CONSERVATION   (India)

^b MCGILL UNIVERSITY   (Canada)

Author keywords

Droughts; Land use change; Water balance; Water management; Watershed hydrology; Weather aberrations

Indexed keywords

CRITICAL PERIODS; HILLY AREAS; HIMALAYAN WATERSHEDS; HYDROLOGICAL WATER BALANCE; INFORMED DECISION; LAND-USE CHANGE; LIMITED DATA; RAINFALL DATA; WATER AVAILABILITY; WATER BALANCE; WATER SCARCITY; WATER USE; WATERSHED HYDROLOGY; WEATHER ABERRATIONS;

ABERRATIONS; DROUGHT; FORESTRY; LAND USE; LOCATION; WATER MANAGEMENT; WATER SUPPLY; WATERSHEDS;

LANDFORMS;

DECISION MAKING; DROUGHT; HYDROLOGICAL MODELING; LAND USE CHANGE; RAINFALL; RESOURCE SCARCITY; RUNOFF; WATER AVAILABILITY; WATER BUDGET; WATER MANAGEMENT; WATER PLANNING; WATER SUPPLY; WATERSHED; WEATHER;

HIMALAYAS;

ANIMALIA;

EID: 75649092940     PISSN: 02626667     EISSN: None     Source Type: Journal    
DOI: 10.1623/hysj.54.6.1018     Document Type: Article

References (39)

1. Abbott, M. B., Bathurst, J. C., Cunge, J. A., O'Connell, P. E. & Rasmussen, J. (1986) An introduction to the European Hydrological System - Système Hydrologique Européen, "SHE", 1. History and Philosophy of a physically-based, distributed modelling system. J. Hydrol. 87, 45-59.
2. Alley, M. W. (1985) Water balance models in one-month-ahead stream flow forecasting. Water Resour. Res. 21(4), 597-606.
3. Arnell, W. N. (1992) Factors controlling the effects of climate change in river regimes in a humid temperate environment. J. Hydrol. 132, 321-342.
4. Barton, G. J., Risser, D. W., Galeone, D. G. & Goode, D. J. (2003) Case study for delineating a contributing area to a well in a fractured Siliciclastic-bedrock aquifer near Lansdale, Pennsylvania. US Geol. Survey, Water Resour. Invest. Report 02-4271.
5. Bastidas, L. A., Gupta, H. V., Sorooshian, S., Shuttleworth, W. J. & Yang, Z. L. (1999) Sensitivity analysis of a land surface scheme using multicriteria methods. J. Geophys. Res. 104(D16), 19,481-19,490.
6. Beven, K. J. (1989) Changing ideas in hydrology-the case of physically based models. J. Hydrol. 105, 157-172.
7. Beven K. J. (1993) Prophecy, reality and uncertainty in distributed hydrological modeling. Adv. Water Resour. 16, 41-51.
8. Beven K. J. & Binley, A. M. (1992) The future of distributed models: model calibration and uncertainty prediction. Hydrol. Processes 6, 279-298.
9. Cooper, V. A., Nguyen, V. T. V. & Nicell, J. A. (1997) Evaluation of global optimization methods for conceptual rainfall-runoff model calibration. Water Sci. Technol. 36(5), 53-60.
10. Donatelli, M., Stöckle, C. O. & Bellocchi, G. (2001) ETCS_DLL. http://www.isci.it/tools [Date of access: 12 November 2005].
11. Duan, Q., Sorooshian, S. & Gupta, V. K. (1992) Effective and efficient global optimization for conceptual rainfall-runoff models. Water Resour. Res. 28(4), 1015-1031.
12. Duan, Q., Sorooshian, S. & Gupta, V. K. (1994) Optimal use of the SCE-UA global optimization method for calibrating watershed models. J. Hydrol. 158, 265-284.
13. Edijatno, De Oliveira, N. N., Yang, X., Makhlouf, Z. & Michel, C. (1999) GR3J: A daily watershed model with three free parameters. Hydrol. Sc. J. 44(2), 263-277.
14. Freeze, R. A. (1980) A stochastic conceptual analysis of rainfall-runoff processes on a hillslope. Water Resour. Res. 16, 391-408.
15. Gupta, H. V., Bastidas, L. A., Sorooshian, S., Shuttleworth, W. J. & Yang, Z. L. (1999) Parameter estimation of a land surface scheme using multicriteria methods. J. Geophys. Res. 104(D16), 19,491-19,503.
16. Hansen, B. P. & Smith, K. P. (2004) Characteristics of areas contributing recharge to public-supply springs in Massachusetts. US Geol. Survey Water-Resour. Invest. Report 03-4266.
17. Ibbitt, R. P. (1972) Effects of random data errors on the parameter values for a conceptual model. Water Resour. Res. 8, 70-78.
18. Jensen, M. E., Lowe, M. & Wireman, M. (1997) Investigation of hydrogeologic mapping to delineate protection zones around springs; report of two case studies. National Risk Management Research Laboratory. US Environ. Protection Agency Tech. Report 600/R-97/023.
19. Luijten, J. C., Knapp, E. B., Sanz, S. I. & Jones, J. W. (2003) A role of GIS-based simulation for empowering local stakeholders in water resources negotiations in developing countries: case studies for two rural hillside watersheds in Honduras and Colombia. Water Policy 5, 213-236.
20. Madsen, H. (2000) Automatic calibration of a conceptual rainfall-runoff model using multiple objectives. J. Hydrol. 235, 276-288.
21. Makhlouf, Z. & Michel, C. (1994) A two-parameter monthly water balance model for French watersheds. J. Hydrol. 162, 299-318.
22. Mather, J. R. (1981) Using computed stream flow in watershed analysis. Water Resour. Bull. 17(3), 474-482.
23. Meinzer, O. E. (1923) Outline of ground-water hydrology with definitions. US Geol. Survey Water-Supply Paper 494.
24. Meixner, T., Bastidas, L. A., Gupta, H. V. & Bales, R. C. (2002) Multicriteria parameter estimation for models of stream chemical composition. Water Resour. Res. 38(3), 9(1)-9(9).
25. NCIWRD (National Commission for Integrated Water Resources Development) (1999) Integrated water resources development: A plan for action. NCIWRD, Ministry of Water Resources, Government of India, New Delhi.
26. Ojasvi, P. R., Goyal, R. K. & Gupta, J. P. (1995) An empirical water balance model for arid regions. In: Proc. Nat. Symp. on Hydrology and Water Resources (Roorkee, India, December 1995), 17-22. National Institute of Hydrology Publ., Roorkee, India.
27. Philip, J. R. (1980) Field heterogeneity: some basic issues. Water Resour. Res. 16, 443-448.
28. Priestley, C. H. B. & Taylor, R. J. (1972) On the assessment of the surface heat flux and evaporation using large scale parameters. Monthly Weather Rev. 100, 81-92.
29. Schaake, J. C. Jr & Liu, C. (1989) Development and application of simple water balance models to understand the relationship between climate and water resources. In: New Directions for Surface Water Modelling (ed. by M. L. Kavvas), 343-352. IAHS Publ. 181. IAHS Press, Wallingford, UK. Available at: http://iahs.info/redbooks/a181/iahs_181_0343.pdf.
30. Sharda, V. N., Samraj, P., Chinnamani, S. & Lakshmanan, V. (1998) Hydrological behaviour of the Nilgiri sub-watersheds as affected by bluegum plantations, Part II. Monthly water balance at different rainfall and runoff probabilities. J. Hydrol. 1003, 347-351.
31. Siriwardena, L., Finalyson, B. L. & McMahon, T. A. (2006) The impact of land use change on catchment hydrology in large catchments: the Comet River, Central Queensland. Aus. J. Hydrol. 326, 199-214.
32. Sorooshian, S., Duan, Q. & Gupta, V. K. (1993) Calibration of rainfall runoff models: application of global optimization to the Sacramento soil moisture accounting model. Water Resour. Res. 29, 1185-1194.
33. Steiner, J. L., Howell, T. A. & Schneider, A. D. (1991) Lysimetric evaluation of daily potential evapotranspiration models for grain sorghum. Agron. J. 83, 240-247.
34. USDA SCS (1972) National engineering handbook, Section 4, Hydrology. US Dept of Agriculture, Soil Conservation Service (USDA SCS), Washington DC, USA.
35. Wasiullah, Gupta, S. K. & Dalal, S. S. (1972) Hydrological Measurements for Watershed Research. Jugal Kishore & Co., Dehradun, India.
36. Vandewiele, G. L., Xu, C.-Y. & Ni Lar-Win (1992) Methodology and comparative study of monthly water balance models in Belgium, China and Burma. J. Hydrol. 134, 315-347.
37. Verburg, P. H., Veldkamp, A. & Rounsevell, M. D. A. (2006) Editorial, Scenario-based studies of future land use in Europe. Agric. Ecosyst. Environ. 114, 1-6.
38. Yapo, P., Gupta, H. V. & Sorooshian, S. (1996) Calibration of conceptual rainfall-runoff models: sensitivity to calibration data. J. Hydrol., 181, 23-48, 1996.
39. Zhang, L., Dawes, W. R. & Walker, G. R. (1999) Predicting the effect of vegetation changes on catchment average water balance. Cooperative Research Centre for Catchment Hydrology, Technical Report 99/12.