Upscaling hydraulic conductivity by means of entropy of terrain curvature representation

Water Resources Research

Volumn 40, Issue 4, 2004, Pages

  Niedda, Marcello ^a  

^a UNIVERSITY OF SASSARI   (Italy)

Author keywords

Distributed modeling; Entropy; Finite difference schemes; Grid dem; Information content; Scale effect

Indexed keywords

AMPLIFICATION; CATCHMENTS; ENTROPY; HYDRAULIC CONDUCTIVITY; SOILS;

NUMERICAL ROUTING; TOPOGRAPHY RESOLUTION;

WATER RESOURCES;

ENTROPY; FINITE DIFFERENCE METHOD; HYDRAULIC CONDUCTIVITY; UPSCALING;

EID: 2442694468     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2003WR002721     Document Type: Article

References (51)

1. Abbott, M. B. (1992), Computational Hydraulics, Ashgate, Brookfield, Vt.
2. Abbott, M. B., J. C. Bathurst, J. A. Cunge, P. E. O'Connell, and J. Rasmussen (1986), An introduction to the European Hydrological System - Systeme Hydrologique Europeen "SHE," J. Hydrol., 87, 45-77.
3. Allen, R. G., L. S. Pereira, D. Raes, and M. Smith (1998), Crop evapotranspiration - Guidelines for computing crop water requirements, FAO Irrig. Drain., 56.
4. Anderson, M. G., and T. P. Burt (1977), A laboratory model to investigate the soil moisture conditions on a drainage slope, J. Hydrol., 33, 383-390.
5. Bathurst, J. C., and P. E. O'Connel (1992), Future of distributed modeling: The Systeme Hydrologique Europeen, in Terrain Analysis and Distributed Modeling in Hydrology, edited by K. J. Beven and I. D. Moore, pp. 213-225, John Wiley, Hoboken, N. J.
6. Bergstrom, S., and L. P. Graham (1998), On the scale problem in hydrological modelling, J. Hydrol., 211, 253-265.
7. Beven, K. (1984), Infiltration into a class of vertically non-uniform soils, J. Hydrol. Sci., 29, 425-434.
8. Beven, K. (1989), Changing ideas in hydrology - The case of physically-based models, J. Hydrol., 105, 157-172.
9. Beven, K. (1995), Linking parameters across scales: Subgrid parameterizations and scale dependent hydrological models, Hydrol. Processes, 9, 507-525.
10. Beven, K. J., R. Lamb, P. Quinn, R. Romanowicz, and R. Freer (1995), TOPMODEL, in Computer Models of Watershed Hydrology, edited by V. P. Singh, pp. 627-668, Water Resour. Publ., Highlands Ranch, Colo.
11. Bloschl, G., and M. Sivapalan (1995), Scale issues in hydrological modelling: A review, Hydrol. Processes, 9, 251-290.
12. Bruneau, P., C. Gascuel-Odoux, P. Robin, P. Merot, and K. Beven (1995), Sensitivity to space and time resolution of a hydrological model using digital elevation data, Hydrol. Processes, 9, 69-81.
13. Dickinson, R. E., A. Henderson-Sellers, C. Rosenzweig, and P. J. Sellers (1991), Evapotranspiration models with canopy resistance for use in climate models, a review, Agric. For. Meteorol., 54, 373-388.
14. Dingman, S. L. (1994), Physical Hydrology, 646 pp., Macmillan, Old Tappan, N. J.
15. Dunne, T., and R. D. Black (1970), An experimental investigation of runoff production in permeable soils, Water Resour. Res., 6, 478-490.
16. Finnerty, B. D., M. B. Smith, D.-J. Seo, V. Koren, and G. E. Moglen (1997), Space-time sensitivity of the Sacramento model to radar-gage precipitation inputs, J. Hydrol., 203, 21-38.
17. Fread, D. L. (1993), Flow routing, in Handbook of Hydrology, edited by D. R. Maidment, chap. 10, McGraw-Hill, New York.
18. Grayson, R. B., and G. Bloschl (2000), Spatial modelling of catchment dynamics, in Spatial Patterns in Catchment Hydrology, edited by R. B. Grayson and G. Bloschl, pp. 51-81, Cambridge Univ. Press, New York.
19. Grayson, R. B., I. D. Moore, and T. A. McMahon (1992a), Physically based hydrologic modeling: 1. A terrain-based model for investigative purposes, Water Resour. Res., 28, 2639-2658.
20. Grayson, R. B., I. D. Moore, and T. A. McMahon (1992b), Physically based hydrologic modeling: 2. Is the concept realistic?, Water Resour. Res., 28, 2659-2665.
21. Jensen, K. H., and A. Mantoglu (1992), Future of distributed modelling, in Terrain Analysis and Distributed Modeling in Hydrology, edited by K. J. Beven and I. D. Moore, pp. 203-212, John Wiley, Hoboken, N. J.
22. Kavvas, M. L. (1999), On the coarse-graining of hydrologic processes with increasing scales, J. Hydrol., 217, 191-202.
23. Koren, V. I., B. D. Finnerty, J. C. Schaake, M. B. Smith, D.-J. Seo, and Q.-Y. Duan (1999), Scale dependencies of hydrologic models to spatial variability of precipitation, J. Hydrol., 217, 285-302.
24. Kuo, W.-L., T. S. Steenhuis, C. E. McCulloch, C. L. Mohler, D. A. Weinstein, S. D. DeGloria, and D. P. Swaney (1999), Effect of grid size on runoff and soil moisture for a variable-source-area hydrology model, Water Resour. Res., 35, 3419-3428.
25. Legates, D. R., and G. J. McCabe (1999), Evaluating the use of "goodness-of-fit" measures in hydrologic and hydroclimatic model validation, Water Resour. Res., 35, 233-241.
26. Mendicino, G., and A. Sole (1997), The information content theory for the estimation of the topographic index distribution used in TOPMODEL, Hydrol. Processes, 11, 1099-1114.
27. Moore, I. D., and R. B. Grayson (1991), Terrain-based catchment partitioning and runoff prediction using vector elevation data, Water Resour. Res., 27, 1177-1191.
28. Mosley, M. P. (1979), Streamflow generation in a forested watershed, New Zealand, Water Resour. Res., 15, 795-806.
29. Nash, J. E., and J. E. Sutcliffe (1970), River flow forecasting through conceptual models, part I - A discussion of principles, J. Hydrol., 10, 282-290.
30. Niedda, M. (1996), Use of network algorithms in spatially distributed models for the study of river basin response, in Application of GIS in Hydrology and Water Resources Management, edited by K. Kovar and H. P. Nachtnebel, IAHS Publ., 235, 207-214.
31. Niedda, M. (2000), Simulation of ground-water flow in steep basin with shallow surface soil, J. Hydraul. Eng., 126, 670-678.
32. Niedda, M., and G. Sechi (1996), A mixed optimization technique for large-scale water resource systems, J. Water Resour. Plann. Manage., 122, 1-10.
33. Paniconi, C., and E. F. Wood (1993), A detailed model for simulation of catchment scale subsurface hydrologic processes, Water Resour. Res., 29, 1601-1620.
34. Pearce, A. J. (1990), Streamflow generation processes: An austral view, Water Resour. Res., 26, 3037-3047.
35. Rawls, W. J., L. R. Ahuja, D. L. Brakensiek, and A. Shirmohammadi (1993), Infiltration and soil water movement, in Handbook of Hydrology, edited by D. R. Maidment, chap. 5, McGraw-Hill, New York.
36. Refsgaard, J. C. (1997), Parameterisation, calibration and validation of distributed hydrological models, J. Hydrol., 198, 69-97.
37. Refsgaard, J. C., M. Thorsen, J. B. Jensen, S. Kleeschulte, and S. Hansen (1999), Large scale modelling of groundwater contamination from nitrate leaching, J. Hydrol., 221, 117-140.
38. Rosso, R. (1994), An introduction to spatially distributed modelling of basin response, in Advances in Distributed Hydrology, edited by R. Rosso et al., pp. 3-30, Water Resour. Publ., Highlands Ranch, Colo.
39. Saulnier, G. M., K. Beven, and C. Obled (1997), Digital elevation analysis for distributed hydrological modelling: Reducing scale dependence in effective hydraulic conductivity values, Water Resour. Res., 33, 2097-2101.
40. Singh, V. P. (1997), The use of entropy in hydrology and water resources, Hydrol. Processes, 11, 587-626.
41. Singh, V. P., and D. A. Woolhiser (2002), Mathematical modeling of watershed hydrology, J. Hydrol Eng., 7, 270-292, doi:10.1061/(ASCE)1084- 0699(2002)7:4(270).
42. Valeo, C., and S. Moin (2000), Grid-resolution effects on a model for integrating urban and rural areas, Hydrol. Processes, 14, 2505-2525.
43. Vàzquez, R. F., L. Feyen, J. Feyen, and J. C. Refsgaard (2002), Effect of grid size on effective parameters and model performance of the MIKE-SHE code, Hydrol. Processes, 16, 355-372, doi:10.1002/hyp.334.
44. Vieux, B. E. (1993), Aggregation and smoothing effects on surface runoff modeling, J. Comput. Civ. Eng., 7, 310-338.
45. Weiyan, T. (1992), Shallow Water Hydrodynamics, 474 pp., Elsevier Sci., New York.
46. Wigmosta, M. S., L. W. Vail, and D. P. Lettenmaier (1994), A distributed hydrology-vegetation model for complex terrain, Water Resour. Res., 30, 1665-1679.
47. Winchell, M., H. V. Gupta, and S. Sorooshian (1998), On the simulation of infiltration- and saturation-excess runoff using radar-based rainfall estimates: Effects of algorithm uncertainty and pixel aggregation, Water Resour. Res., 34, 2655-2670.
48. Wolock, D. M., and G. J. McCabe (2000), Differences in topographic characteristics computed from 100 and 1000 m resolution digital elevation model data, Hydrol. Processes, 14, 987-1002.
49. Wood, E. F., M. Sivapalan, K. J. Seven, and L. Band (1988), Effects of spatial variability and scale with implications to hydrologic modelling, J. Hydrol., 102, 29-47.
50. Woods, R., M. Sivapalan, and M. Duncan (1995), Investigating the representative elementary area concept: An approach based on field data, Hydrol. Processes, 9, 291-312.
51. Zhang, W., and D. R. Montgomery (1994), Digital elevation model grid size, landscape representation, and hydrological simulations, Water Resour. Res., 30, 1019-1028.