REFERENCES

• Bras , R. L. 1990 . Hydrology: An Introduction to Hydrologic Science. Reading, Massachusetts, , USA : Addison-Wesley .
   Google Scholar
• Burrough , P. A. and McDonell , R. A. 1998 . Principles of Geographical Information Systems. Oxford, , UK : Oxford University Press .
   Google Scholar
• Cunge , J. A. 1969 . On the subject of a flood propagation computation method (Muskingum Method). . J. Hydraul. Res. , 7 : 205 – 230 .
   Google Scholar
• Dooge , J. C. I. , Strupczewski , W. G. and Napiorkowski , J. J. 1982 . Hydrodynamic derivation of storage parameters for Muskingum model. . J. Hydrol. , 54 : 371 – 387 .
   Web of Science ®Google Scholar
• ESRI (Environmental Systems Research Institute) . 1996 . Cell based modeling with GRID. California, , USA : ESRI Inc., Redlands .
   Google Scholar
• FAO-UNESCO . 1998 . Soil Map of the World, Revised Legend. , FAO World Soil Resources Report no. 60 Rome, , Italy : Food and Agricultural Organization of the United Nations UNESCO .
   Google Scholar
• Feaste, T. D., Tasker, G. D., 2002 Techniques for estimating the magnitude and frequency of floods in rural basins of South Carolina, 1999. US Geol. Survey Water-Resources Investigations Report 02-4140, 5-11.
   Google Scholar
• Franklin , J. F. 1992 . “ Scientific basis for new perspectives in forests and streams ” . In Watershed Management Edited by: Naiman , R. J. 25 – 72 . New York, , USA : Springer-Verlag .
   Google Scholar
• Gumbricht , T. , Lindholm , H. , Akre , A. , Szczepanek , R. , Hessling , M. and McCarthy , J. 1997 . GIS integrated modelling of a Himalayan landscape. . Int. J. Water Resour. Development , 13 ( 1 ) : 14 – 23 .
   Google Scholar
• He , C. 2003 . Integration of GIS and simulation model for watershed management. . Environ. Modeling and Software. , 18 ( 8/9 ) : 809 – 813 .
   Web of Science ®Google Scholar
• Hunsaker , C. T. and Levine , D. A. 1995 . Hierarchical approaches to the study of water quality in rivers. . BioScience , 45 : 193 – 203 .
   Web of Science ®Google Scholar
• Hunsaker , C. T. , Levine , D. A. , Timmins , S. P. , Jackson , B. L. and O'Neill , R. V. 1992 . “ Landscape characterization for assessing regional water quality ” . In Ecological Indicators Edited by: McKenzie , D. H. , Hyatt , D. E. and McDonald , V. J. 997 – 1006 . New York, , USA : Elsevier Appl. Sci. .
   Google Scholar
• Loveland , T. R. and Belward , A. S. 1997 . The IGBP-DIS global 1 km land cover data set, Discover: first result. . Int. J. Remote Sens. , 18 : 3289 – 3296 .
   Web of Science ®Google Scholar
• Maidment , D. R. 1996 . GIS and hydrologic models of non-point source pollution in subsurface water. . Soil Science Society of America , 48 : 163 – 174 . Special Publ.
   Google Scholar
• Maidment , D. R. , Olivera , J. F. , Calver , A. , Eatherral , A. and Fraczek , W. 1996 . A unit hydrograph derived from a spatially distributed velocity field. . Hydrol. Processes , 10 ( 6 ) : 831 – 844 .
   Web of Science ®Google Scholar
• Mark , D. , Dozier , J. and Frew , J. 1984 . Automated basin delineation from digital elevation data. . GeoProcessing , 2 : 299 – 311 .
   Google Scholar
• Martz , L. W. and Garbrecht , J. 1993 . Automated extraction of drainage network and watershed data from digital elevation models. . Water Resour. Bull. AWRA , 29 ( 6 ) : 901 – 908 .
   Google Scholar
• McCuen , R. H. 1998 . Hydrologic Analysis and Design. Upper Saddle River, New Jersey, , USA : Prentice-Hall .
   Google Scholar
• Moore , I. D. , Grayson , R. B. and Ladson , A. R. 1994 . “ Digital terrain modelling: a review of hydrological, geomorphological, and biological applications ” . In Terrain Analysis and Distributed Modelling in Hydrology Edited by: Beven , K. J. and Moore , I. D. 7 – 34 . Chichester, , UK : John Wiley & Sons .
   Google Scholar
• Nandakumar , N. and Mein , R. G. 1997 . Uncertainty in rainfall-runoff model simulations and the implications for predicting the hydrological effects of land-use change. . J. Hydrol. , 192 ( 1/4 ) : 211 – 232 .
   Web of Science ®Google Scholar
• Nash , J. E. and Sutcliffe , J. V. 1970 . River flow forecasting through conceptual models, Part I: A discussion of principles. . J. Hydrol. , 10 : 282 – 290 .
   Google Scholar
• Niehoff , D. , Fritsch , U. and Bronstert , A. 2002 . Land-use impact on storm-runoff generation: scenarios of land-use changes and simulation of hydrological response in a meso-scale catchment in SW-Germany. . J. Hydrol. , 267 : 80 – 93 .
   Web of Science ®Google Scholar
• O'Callaghan , J. F. and Mark , D. M. 1984 . The extraction of drainage networks from digital elevation data. . Computer Vision, Graphics and Image Processing , 28 : 323 – 344 .
   Google Scholar
• Roth , N. E. , Allan , J. D. and Erickson , D. L. 1996 . Landscape influences on stream biotic integrity assessed at multiple scales. . Lands Ecol. , 11 : 141 – 156 .
   Web of Science ®Google Scholar
• Saenyi , W. W. 2002 . Sediment management in Masinga Reservoir, Kenya. Vienna, , Austria : University of Agricultural Sciences (Boku) . PhD Thesis
   Google Scholar
• Scott, A. O., Gary, D. T., Graig, M. J., 2003 A geographic information tool to solve regression equations and estimate flow-frequency characteristics of Vermont streams. US Geol. Survey. Open-File Report 02-494.
   Google Scholar
• Wilson , E. M. 1990 . Engineering Hydrology , 110, 196, and 301 Indianapolis, Indiana, , USA : Macmillan .
   Google Scholar
• Ye , Z. 1996 . Map-based surface and subsurface flow simulation models: An object-oriented and GIS approach. Austin, Texas, , USA : University of Texas . PhD Dissertation
   Google Scholar