A semi-distributed, physics-based hydrologic model using remotely sensed and Digital Terrain Elevationt Data for semi-arid catchments

International Journal of Remote Sensing

Volumn 25, Issue 20, 2004, Pages 4351-4379

  Biftu, Getu Fana ^a   Gan, Thian Yew ^b  

^a GOLDER ASSOCIATES LTD   (Canada)

^b UNIVERSITY OF ALBERTA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATE CHANGE; DATA ACQUISITION; GROUNDWATER; HYDROLOGY; INFORMATION ANALYSIS; KINEMATICS; PLANTS (BOTANY); TOPOLOGY;

SURFACE TEMPERATURE; TOPOGRAPHIC INFORMATION;

ARID REGIONS;

DIGITAL TERRAIN MODEL; EVAPOTRANSPIRATION; HYDROLOGICAL MODELING; HYDROLOGICAL REGIME; RIVER BASIN; SEMIARID REGION;

CANADA; NORTH AMERICA;

EID: 6344294842     PISSN: 01431161     EISSN: None     Source Type: Journal    
DOI: 10.1080/01431160310001654374     Document Type: Article

References (69)

1. Abbott, M. B., Bathurst, J. C., Cunge, J. A., O'Connell, P. E., and 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. Journal of Hydrology, 87, 45-59.
2. Beven, K. J., 1989, Changing ideas of hydrology: the case of physically-based models. Journal of Hydrology, 105, 157-172.
3. Beven, K. J., 1996, A discussion of distributed hydrological modelling. In Distributed Hydrological Modelling, edited by M. B. Abbott and J. C. Refsgaard (Fort Collins, Colorado: Water Resources Publication), pp.255-278.
4. Beven, K. J., and Kirkby, M. J., 1979, A physically-based variable contributing area model of basin hydrology. Hydrological Science Bulletin, 24, 43-69.
5. Beven, K. J., Calver, A., and Morris, E. M., 1987, The Institute of Hydrology distributed model. Institute of Hydrology, Report 98, Wallingford, UK.
6. Beven, K. J., Lamb, R., Quinn, P., Romanowicz, R., and Freer, J., 1995, Topmodel. In Computer Models of Watershed Hydrology, edited by V. P. Singh (Fort Collins, Colorado: Water Resources Publications), pp.627-668.
7. Biftu, G. F., 1998, Semi-distributed hydrologic modelling using remotely sensed data and GIS, Doctoral Dissertation, University of Alberta, Edmonton.
8. Biftu, G. F., and Gan, T. Y., 1999, Retrieving soil moisture from Radarsat SAR data. Water Resources Research, 35, 1569-1579.
9. Biftu, G. F., and Gan, T. Y., 2001, Semi-distributed, physically based, hydrologic modelling of the Paddle river basin, Alberta using remotely sensed data. Journal of Hydrology, 244, 137-156.
10. Bougeault, P., 1991, Parameterization schemes of Land-Surface processes for mesoscale Atmospheric models. In Land Surface Evaporation, edited by T. J. Schmugge and J. André (New York: Springer-Verlag ), pp. 55-92.
11. Brooks, R. H., and Corey, A. T., 1966, Properties of porous media affecting fluid flow. Journal of Irrigation Drainage Division, 92, IR2, 61-68.
12. Brutsaert, W., 1982, Evaporation into the Atmosphere (Dordrecht, Holland: D. Reidel Publishing Co).
13. Burnash, R. J., Ferral, R. L., and McQuire, R. A., 1973, A generalized stream flow simulation system. Conceptual modelling for digital computers (Sacramento, California: US National Weather Service).
14. Choudhury, B. J., and Monteith, J. L., 1988, A four-layer model for the heat budget of homogeneous land surfaces. Quarterly Journal of the Royal Meteorological Society, 114, 373-398.
15. Crawford, N. H., and Linsley, R. K., 1966, Digital simulation in hydrology; Stanford Watershed Model IV, Department of Civil Engineering, Stanford University, Technical Report No. 39.
16. Deardorff, J. W., 1978, Efficient prediction of ground surface temperature and moisture, with inclusion of layer of vegetation. Journal of Geophysical Research, 83, 1889-1903.
17. Dickinson, R. E., 1984, Modelling evapotranspiration for three-dimensional global climate models. In Climate Processes and Climate Sensitivity, Geophysical Monograph Service, 29, edited by J. E. Hansen and T. Takahashi, AGU (Washington, DC: AGU), pp. 58-72.
18. Dooge, J. C. I., 1973, Linear theory of hydrologic systems. Agricultural Research Service Technical Bulletin, No. 1468.
19. Duchon, C. E., Salisbury, J. M., Lee Williams, T. H., and Nicks, A. N., 1992, An example of using Landsat and GOES data in a water budget model. Water Resources Research, 28, 527-538.
20. Eagleson, P. S., 1978, Climate, soil, and vegetation, 3, A simplified model of soil moisture movement in the liquid phase. Water Resources Research, 14, 722-730.
21. Eagleson, P. S., Mejia-r, R., and March, F., 1965, The computation of optimum realizable unit hydrographs from rainfall and runoff data. Hydrodynamic Laboratory Report, No. 84, MIT, Boston, Massachusetts.
22. Famiglietti, J. S., Wood, E. F., Sivapalan, M., and Thongs, D. J., 1992, A catchment scale water balance model for FIFE. Journal of Geophysical Research, 97, 18 997-19 007.
23. Famiglietti, J. S., and Wood, E. F., 1994, Multi-scale modelling of spatially-variable water and energy balance processes. Water Resources Research, 30, 3061-3078.
24. Fan, Y., and Bras, R., 1995, On the concept of a representative elementary area in catchment runoff. Hydrological Processes, 9, 821-832.
25. Fortin, J. P., Villeneuve, J. P., Guibot, A., and Seguin, B., 1986, Development of a modular hydrological forecasting model based on remotely sensed data, for interactive utilization on a microcomputer. Hydrologic Applications of Space Technology, 307-319.
26. Freeze, R. A., and Harlan, R. L., 1969, Blueprint for a physically-based digitally-simulated hydrological response model. Journal of Hydrology, 9, 237-258.
27. Gan, T. Y., 2000, Reducing vulnerability of water resources of Canadian Prairies to potential droughts and possible climatic warming. Water Resources Management, 14, 111-135.
28. Gan, T. Y., and Biftu, G. F., 1996, Automatic calibration of conceptual rainfall-runoff models: optimization algorithms, catchment conditions, and model structure. Water Resources Research, 32, 3513-3524.
29. Gan, T. Y., Ahmad, Z., and Harboe, R., 1998, Hydrologic impacts of climatic change on drainage basins in Thailand and in Swaziland. Journal of World Resources Review, 9, 521-540.
30. Gan, T. Y., Dlamini, E. M., and Biftu, G. F., 1997, Hydrologic modelling of dry catchments - model complexity and model structure, calibration data, and objective functions. Journal of Hydrology, 192, 81-103.
31. Gardner, W. R., 1958, Some steady-state solutions of the unsaturated moisture flow equation with application to evaporation from a water table. Soil Science, 85, 228-232.
32. Grayson, R. B., Moore, I. D., and McMahon, T. A., 1992, Physically based hydrological modelling. 1. A terrain-based model for investigative purposes. Water Resources Research, 28, 2639-2658.
33. Gupta, H. V., Sorooshian, S., and Yapo, P. O., 1998, Towards improved calibration of hydrologic models: multiple and non-commensurable measures of information. Water Resources Research, 34, 751-763.
34. Hornberger, G. M., Beven, K. J., Cosby, B. J., and Sappington, D. E., 1985, Shenandoah watershed study: calibration of a topography-based, variable contributing area hydrological model to a small forested catchment. Water Resources Research, 21, 1841-1850.
35. Jarvis, P. G., 1976, The interpretation of the variations in leaf water potential and stomatal conductance found in canopies in the field. Philosophical Transactions of the Royal Society, B, 273, 593-610.
36. Kite, G. W., 1995, Scaling of input data for macroscale hydrologic modelling. Water Resources Research, 31, 2769-2781.
37. Kite, G. W., and Pietroniro, A., 1996, Remote sensing applications in hydrological modelling. Hydrological Sciences Journal, 41, 563-591.
38. Klemes, V., 1988, A hydrological perspective. Journal of Hydrology, 100, 3-28.
39. Knetzys, F. X., Shettle, E. P., Abreu, L. W., Chetwynd, J. H., Anderson, G. P., Gallery, W. O., Selby, J. E. A., and Clough, S. A., 1988, User code to LOWTRAN 7. AFGL-TR-88-0177 Environmental Research papers, No. 1010, US Department of Defense, Air Force Geophysics Laboratory, Optical Physics Division.
40. Kouwen, N., 1988, Watflood. A micro-computer based flood forecasting system based on real-time weather radar. Canadian Water Resources Journal, 13, 62-77.
41. Kuczera, G., and Mroczkowski, M., 1998, Assessment of hydrologic parameter uncertainty and the worth of multiresponse data. Water Resources Research, 34, 1481-1489.
42. Lettenmaier, D. P., and Gan, T. Y., 1990, Hydrologic sensitivities of the Sacramento-San Joaquin River Basin to global warming. Water Resources Research, 26, 69-86.
43. Louis, J., 1979, A parametric model of vertical eddy fluxes in the atmosphere. Boundary Layer Meteorology, 17, 187-202.
44. Miller, W. A., and Cunge, J. A., 1975, Simplified equations of unsteady flow. In Unsteady Flow in Open Channels, edited by K. Mahmood and V. Yevjevich (Fort Collins, Colorado: Water Resources Publications), pp. 183-249.
45. Milly, P. C. D., 1986, An event-based simulation model of moisture and energy fluxes at a bare soil surface. Water Resources Research, 22, 1680-1692.
46. Mroczkowski, M., Raper, G. P., and Kuczera, G., 1997, The quest for more powerful validation of conceptual catchment models. Water Resources Research, 33, 2325-2335.
47. Ottlé, C., and Vidal-Madjar, D., 1994, Assimilation of soil moisture inferred from infrared sensing in a hydrological model over the HAPEX-MOBILHY region. Journal of Hydrology, 158, 241-264.
48. Penman, H. L., 1948, Natural evaporation from open water, bare soil and grass. Proceedings of the Royal Society London, A, 193, 120-145.
49. Ponce, V. M., and Yevjevich, V., 1978, Muskingum-Cunge method with variable parameters. Journal of Hydraulic Division, American Society of Civil Engineers, 104, 1663-1667.
50. Price, J. C., 1984, Land surface temperature measurements from the split window channels of the NOAA 7-AVHRR. Journal of Geophysical Research, 89, 7231-7237.
51. Priestley, C. H. B., and Taylor, R. J., 1972, On the assessment of surface heat flux and evaporation using large scale parameters. Monthly Weather Review, 100, 81-92.
52. Quinn, P. F., Beven, K. J., and Lamb, R., 1995, The ln(a/tan β) index: how to calculate it and to use it within the TOPMODEL framework. Hydrological Processes, 9, 161-182.
53. Refsgaard, J. C., 1997, Parameterization, calibration, and validation of distributed hydrological models. Journal of Hydrology, 198, 69-97.
54. Refsgaard, J. C., and Storm, B., 1995, MIKE SHE. In Computer Models of Watershed Hydrology, edited by V. P. Singh (Colorado: Water Resources Publications), pp. 809-846.
55. Refsgaard, J. C., and Abbott, M. B., 1996, The role of distributed hydrological modelling in water resources management. In Distributed Hydrological Modelling, edited by M. B. Abbott and J. C. Refsgaard (Colorado: Water Resources Publications), pp. 1-16.
56. Rutter, A. J., Kershaw, K. A., Robins, P. C., and Morton, A. J., 1971-72, A predictive model of rain interception in forests, 1. Derivation of the model from observations in a plantation of Corsican Pine. Agricultural Meteorology, 9, 367-384.
57. Rutter, A. J., Morton, A. J., and Robins, P. C., 1975, A predictive model of rain interception in forests, 1. Generalization of the model and comparison with observations in some coniferous and hardwood stands. Journal of Applied Ecology, 12, 364-380.
58. Schott, J. R., and Volchok, W. J., 1985, Thematic Mapper thermal infrared calibration. Photogrammetric Engineering and Remote Sensing, 51, 1351-1357.
59. Shaw, R. H., and Pereira, A. R., 1982, Aerodynamic roughness of a plant canopy. A numerical experiment. Agricultural Meteorology, 26, 51-65.
60. Sherman, L. K., 1932, Streamflow from rainfall by the unit-graph method. Engineers News Record, 108, 501-505.
61. Shuttleworth, J. W., 1991, Evaporation models in hydrology. In Land Surface Evaporation, edited by T. J. Schmugge and J. André (New York: Springer-Verlag), pp. 93-120.
62. Shuttleworth, J. W., and Gurney, R. J., 1990, The theoretical relationship between foliage temperature and canopy resistance in sparse crops. Quarterly Journal of the Royal Meteorolology Society, 116, 497-519.
63. Sivapalan, M., Wood, E. F., and Beven, K. J., 1987, On hydrologic similarity, 2. A scaled model of storm runoff production. Water Resources Research, 23, 2266-2278.
64. Smith, E. A., Cooper, H. J., Crosson, W. L., and Wang, H., 1993, Estimation of surface heat and moisture fluxes over a prairie grassland 3. Design of hybrid physical/remote sensing biosphere model. Journal of Geophysical Research, 98, 4951-4978.
65. Stewart, J. B., 1977, Evaporation from the wet canopy of pine forest. Water Resources Research, 13, 915-921.
66. Tucker, G. E., Lancaster, S. T., Gasparini, N. M., Bras, R. L., and Rybarczyk, S. M., 2001, An object-oriented framework for distributed hydrologic and geomorphic modelling using triangulated irregular networks. Computers and Geosciences, 27, 959-973.
67. Wood, E. F., Sivapalan, M., Beven, K., and Band, L., 1988, Effects of spatial variability and scale with implications to hydrologic modelling. Journal of Hydrology, 102, 29-47.
68. Woods, R. A., Sivapalan, M., and Robinson, J. S., 1997, Modelling the spatial variability of subsurface runoff using a topographic index. Water Resources Research, 33, 1061-1073.
69. Zhao, R. J., 1992, The Xinanjiang model applied in China. Journal of Hydrology, 135, 371-381.