Determination and integration of appropriate spatial scales for river basin modelling

Hydrological Processes

Volumn 17, Issue 13, 2003, Pages 2581-2598

  Booij, M J ^a  

^a UNIVERSITY OF TWENTE   (Netherlands)

Author keywords

Appropriateness; Correlation length; Meuse basin; Rainfall runoff modelling; River flooding; Semi correlation; Spatial scales; Variance reduction function

Indexed keywords

CLIMATE CHANGE; CORRELATION METHODS; FLOODS; HYDROLOGY; PRECIPITATION (METEOROLOGY); SOIL TESTING; SPATIAL VARIABLES MEASUREMENT;

SPATIAL CORRELATIONS;

RIVER BASIN PROJECTS;

FLOODING; HYDROLOGICAL MODELING; PRECIPITATION (CLIMATOLOGY); RAINFALL-RUNOFF MODELING; RIVER BASIN; SPATIAL RESOLUTION;

EUROPE;

EID: 0042695410     PISSN: 08856087     EISSN: None     Source Type: Journal    
DOI: 10.1002/hyp.1268     Document Type: Article

References (28)

1. Blöschl G. 1999. Scale issues in snow hydrology. Hydrological Processes 13: 2149-2175.
2. Blöschl G, Sivapalan M. 1995. Scale issues in hydrological modelling: a review. Hydrological Processes 9: 251-290.
3. Booij MJ. 2002a. Appropriate modelling of climate change impacts on river flooding. PhD thesis, University of Twente, Enschede.
4. Booij MJ. 2002b. Modelling the effects of spatial and temporal resolution of rainfall and basin model on extreme river discharge. Hydrological Sciences Journal 47: 307-320.
5. Booij MJ. 2002c. Extreme daily precipitation in Western Europe with climate change at appropriate spatial scales. International Journal of Climatology 22: 69-85.
6. Bossard M, Steenmans Ch, Feranec J, Otahel J. 2000. The revised and supplemented Corine land cover nomenclature. Technical Report 38, European Environment Agency, Copenhagen.
7. Brasington J, Richards K. 1998. Interactions between model predictions, parameters and DTM scales for TOPMODEL. Computers & Geosciences 24: 299-314.
8. Bruneau P, Gascuel-Odoux C, Robin P, Merot Ph, Beven K. 1995. Sensitivity to space and time resolution of a hydrological model using digital elevation data. Hydrological Processes 9: 69-81.
9. Cosh MH, Brutsaert W. 1999. Aspects of soil moisture variability in the Washita '92 study region. Journal of Geophysical Research 104: 19 751-19 757.
10. Farajalla NS, Vieux BE. 1995. Capturing the essential spatial variability in distributed hydrological modelling: infiltration parameters. Hydrological Processes 9: 55-68.
11. Filliben JJ. 1975. The probability plot correlation coefficient test for normality. Technometrics 17: 111-117.
12. Ghosh B. 1951. Random distances within a rectangle and between two rectangles. Bulletin of the Calcutta Mathematical Society 43: 17-24.
13. IPCC. 2001. Climate change 2001: The scientific basis. Contribution of Working Group I to the Third Assessment Report of the Intergovernmental Panel on Climate Change, Houghton JT, Ding Y, Griggs DJ, Noguer M, van der Linden PJ, Dai X, Maskell K, Johnson CA (eds). Cambridge University Press: Cambridge.
14. Kent KM. 1972. Travel time, time of concentration and lag. In SCS National Engineering Handbook, section 4 Hydrology. USDA: Washington, DC.
15. King D, Daroussin J, Tavernier R. 1994. Development of a soil geographical database from the soil map of the European Communities. Catena 21: 37-56.
16. Kitanidis PK. 1997. Introduction to Geostatistics: Applications in Hydrogeology. Cambridge University Press: Cambridge.
17. Maidment DR (ed.). 1992. Handbook of Hydrology, McGraw-Hill: New York.
18. Mauser W, Schädlich S. 1998. Modelling the spatial distribution of evapotranspiration on different scales using remote sensing data. Journal of Hydrology 212: 250-267.
19. Moody A, Woodcock CE. 1995. The influence of scale and the spatial characteristics of landscapes on land-cover mapping using remote sensing. Landscape Ecology 10: 363-379.
20. Rodriguez-Iturbe I, Mejia JM. 1974. On the transformation from point rainfall to areal rainfall. Water Resources Research 10: 729-735.
21. US Geological Survey. 1993. Digital elevation models. Data user guide 5. US Geological Survey: Reston.
22. US Geological Survey. 1995. Digital elevation model data from 7.5-minute quadrangle maps. US Geological Survey: Sioux Falls.
23. US Geological Survey. 1996. Global 30-arc second elevation data set. US Geological Survey: Sioux Falls.
24. Veihe A, Quinton J. 2000. Sensitivity analysis of EUROSEM using Monte Carlo simulation I: hydrological, soil and vegetation parameters. Hydrological Processes 14: 915-926.
25. Walsh SJ, Crawford TW, Welsh WF, Crews-Meyer KA. 2001. A multiscale analysis of LULC and NDVI variation in Nang Rong district, northeast Thailand. Agriculture. Ecosystems & Environment 85: 47-64.
26. Western AW, Blöschl G. 1999. On the spatial scaling of soil moisture. Journal of Hydrology 217: 203-224.
27. Western AW, Blöschl G, Grayson RB. 1998. Geostatistical characterisation of soil moisture patterns in the Tarrawara catchment. Journal of Hydrology 205: 20-37.
28. Wolock DM, McCabe GJ. 2000. Differences in topographic characteristics computed from 100- and 1000-m resolution digital elevation model data. Hydrological Processes 14: 987-1002.