Uncertainty in predicted runoff due to patterns of spatially variable infiltration

Water Resources Research

Volumn 43, Issue 2, 2007, Pages

  Michaelides, Katerina ^a   Wilson, Matthew D ^b  

^a UNIVERSITY OF BRISTOL   (United Kingdom)

^b UNIVERSITY OF EXETER   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CHANNEL FLOW; INFILTRATION; MATHEMATICAL MODELS; MONTE CARLO METHODS; RUNOFF; STATISTICAL METHODS;

GEOSTATISTICAL METHOD; INFILTRATION PATTERNS; SPATIAL AUTOCORRELATION;

HYDROLOGY;

CHANNEL FLOW; HYDROLOGY; INFILTRATION; MATHEMATICAL MODELS; MONTE CARLO METHODS; RUNOFF; STATISTICAL METHODS;

AUTOCORRELATION; CATCHMENT; GEOSTATISTICS; HYDROLOGICAL MODELING; INFILTRATION; MONTE CARLO ANALYSIS; NUMERICAL MODEL; RUNOFF; SPATIAL VARIATION; UNCERTAINTY ANALYSIS; VARIOGRAM;

EID: 33947636781     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2006WR005039     Document Type: Article

References (37)

1. Atkinson, P. (1999), Spatial statistics, in Spatial Statistics for Remote Sensing, edited by A. Stein et al., pp. 57-81, Springer, New York.
2. Burrough, P., and R. McDonnell (1998), Principles of Geographical Information Systems: Spatial Information Systems and Geostatistics, Oxford Univ, Press, New York.
3. Curran, P. (1988), The semi-variogram in remote sensing: An introduction, Remote Sens. Environ., 24(3), 493-507.
4. De Roo, A. P. J., L. Hazelhoff, and G. B. M. Heuvelink (1992), Estimating the effects of spatial variability of infiltration on the output of a distributed runoff and soil erosion model using Monte Carlo methods, Hydrol. Processes, 6, 127-141.
5. Deutsch, C., and A. Journal (1998), GSLIB: Geostatistical Software Library and User's Guide, 2nd ed., Oxford Univ. Press, New York.
6. Dungan, J. (1999), Conditional simulation: An alternative to estimation for achieving mapping objectives, in Spatial Statistics for Remote Sensing, edited by A. Stein et al., pp. 135-152, Springer, New York.
7. Faurès, J. M., D. C. Goodrich, D. A. Woolhiser, and S. Sorooshian (1995), Impact of small-scale spatial rainfall variability on runoff modelling, J. Hydrol., 173, 309-326.
8. Goovaerts, P. (1997), Geostatistics for Natural Resources Evaluation, Oxford Univ. Press, New York.
9. Green, W. H., and G. A. Ampt (1911), Studies on soil physics: 1. Flow of air and water through soils, J. Agric. Sci., 4, 1-24.
10. Guntner, A., and A. Bronstert (2004), Representation of landscape variability and lateral redistribution processes for large-scale hydrological modelling in semi-arid areas, J. Hydrol., 297, 136-161.
11. Isaaks, E., and R. Mohan Srivastava (1989), An Introduction to Applied Geostatistics, Oxford Univ. Press, New York.
12. Lantuéjoul, C. (2001), Geostatistical Simulation: Models and Algorithms, 270 pp., Springer, New York.
13. League, K., and P. C. Kyriakidis (1997), Spatial and temporal variability in the R-5 infiltration data set: Déjà vu and rainfall-runoff simulations, Water Resour. Res., 33(12), 2883-2895.
14. Merz, B., and E. J. Plate (1997), An analysis of the effects of the spatial variability of soil and soil moisture on runoff, Water Resour. Res., 33(12), 2909-2922.
15. Michaelides, K., and J. Wainwright (2002), Modelling the effects of hillslope-channel coupling on catchment hydrological response, Earth Surf. Processes Landforms, 27, 1441-1457.
16. Michaelides, K., and J. Wainwright (2004), Modelling fluvial processes and interactions, in Environmental Modelling: Finding Simplicity in Complexity, edited by J. Wainwright and M. Mulligan, pp. 123-142, John Wiley, Hoboken, N. J.
17. Moglen, G. E., and R. L. Bras (1995), The effect of spatial heterogeneities on geomorphic expression in a model of basin evolution, Water Resour. Res., 37(10), 2613-2623.
18. Nahar, N., R. S. Govihdaraju, C. Corradini, and R. Morbidelli (2004), Role of run-on for describing field-scale infiltration and overland flow over spatially variable soils, J. Hydrol., 286, 36-51.
19. Ogden, F. L., and P. Y. Julien (1993), Runoff sensitivity to temporal and spatial rainfall variability at runoff plane and small basin scales, Water Resour. Res., 29(8), 2589-2597.
20. 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, pp. 5.1-5.51, McGraw-Hill, New Yolk.
21. Saghafian, B., and P. Y. Julien (1995), Time to equilibrium for spatially variable watersheds, J. Hydrol., 172, 231-245.
22. Scoging, H. M. (1982), Spatial variations in infiltration, runoff and erosion on hillslopes in semi-arid Spain, in Badland Geomorphology and Piping, edited by R. B. Bryan and A. Yair, pp. 89-112, GeoBooks, Cambridge, U. K.
23. Scoging, H. M. (1992), Modelling overland flow hydrology for dynamic hydraulics, in Overland Flow: Hydraulics and Erosion Mechanics, edited by A. J. Parsons and A. D. Abrahams, pp. 89-103, UCL Press, London.
24. Scoging, H. M., and J. B. Thornes (1980), Infiltration characteristics in a semi-arid environment, in Proceedings of the International Association of Hydrological Sciences Symposium on the Hydrology of Areas of Low Precipitation, IAHS Publ., 128, 159-168.
25. Seyfried, M. S., and B. P. Wilcox (1995), Scale and the nature of spatial variability: Field examples having implications for hydrologic modeling, Water Resour. Res., 31(1), 173-184.
26. Sharma, M. L., G. A. Gander, and C. G. Hunt (1980), Spatial variability of infiltration in a watershed, J. Hydrol., 45, 101-122.
27. Sivapalan, M., et al. (2003), IAHS decade on Predictions in Ungauged Basins (PUB), 2003-2012: Shaping an exciting future for the hydrological sciences, Hydrol. Sci. J., 48(6), 857-880.
28. Smith, R. E., and R. H. B. Hebbert (1979), A Monte Carlo analysis of the hydrologic effects of spatial variability of infiltration, Water Resour. Res., 15(2), 419.
29. Thornes, J. B., and A. Gilman (1983), Potential and actual erosion around archaeological sites in south east Spain, in Rainfall Simulation, Runoff and Soil Erosion, edited by J. de Ploey, pp. 91-113, Catena Suppl; 4, Catena, Reiskircheh, Germany.
30. Wagener, T., M. Sivapalan, J. J. McDonnell, R. Hooper, V. Lakshmi, X. Liang, and P. Kumar (2004), Predictions in Ungauged Basins as a catalyst for multidisciplinary hydrology, Eos Trans. AGU, 85(44), 451,457.
31. Wainwright, J., and A. J. Parsons (2002), The effect of temporal variations in rainfall on scale dependency in runoff coefficients, Water Resour. Res., 38(12), 1271, doi:10.1029/2000WR000188.
32. Western, A. W., G. Blöschl, and R. B. Grayson (1998a), How well do indicator variograms capture the spatial connectivity of soil moisture?. Hydrol. Processes, 12, 1851-1868.
33. Western, A. W., G. Blöschl, and R. B. Grayson (1998b), Geostatistical characterisation of soil moisture patterns ih the Tarrawarra catchment, J. Hydrol., 205, 20-37.
34. Western, A. W., G. Blöschl, and R. B. Grayson (2001), Toward capturing hydrologically significant connectivity in spatial patterns, Water Resour. Res., 37(1), 83-97.
35. Western, A. W.; S.-L. Zhou, R. B. Grayson, T. A. McMahon, G. Blöschl, and D. J. Wilson (2004), Spatial correlation of soil moisture in small catchments and its relationship to dominant spatial hydrological processes, J. Hydrol., 286, 113-134.
36. Wood, E. F., M. Sivapalan, K. Beven, and L. Band (1998), Effects of spatial variability and scale with implications to hydrologic modelling, J. Hydrol., 102, 29-47.
37. Woolhiser, D. A., R. E. Smith, and J.-V. Giraldez (1996), Effects of spatial variability of saturated hydraulic conductivity on Hortonian overland flow, Water Resour. Res., 32(3), 671-678.