Storm runoff prediction based on a spatially distributed travel time method utilizing remote sensing and GIS

Journal of the American Water Resources Association

Volumn 40, Issue 4, 2004, Pages 863-879

  Melesse, Assefa M ^a   Graham, Wendy D ^b  

^a University of Florida   (United States)

^b UNIVERSITY OF NORTH DAKOTA   (United States)

Author keywords

Curve number.; GIS; Remote sensing; Spatially distributed modeling; Surface water hydrology

Indexed keywords

GEOGRAPHIC INFORMATION SYSTEMS; INFILTRATION; NATURAL RESOURCES; REMOTE SENSING; RUNOFF; WATERSHEDS;

DIGITAL ORTHOPHOTO QUARTER QUADRANGLES (DOQQ); ENHANCE THEMATIC MAPPER; HYDROGRAPHS;

STORMS;

GIS; HYDROGRAPH; HYDROLOGICAL RESPONSE; PEAK FLOW; REMOTE SENSING; RUNOFF; SPATIAL DISTRIBUTION; STORMWATER;

FLORIDA; NORTH AMERICA; UNITED STATES;

EID: 4544296901     PISSN: 1093474X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1752-1688.2004.tb01051.x     Document Type: Article

References (27)

1. Ajward, M.H., 1996. A Spatially Distributed Unit Hydrograph Model Using a Geographical Information System. Ph.D. Dissertation, Civil Engineering Dept., University of Calgary, Calgary.
2. Anderson, J.R., E.E. Hardy, T.J. Roach, and R.E. Witmer, 1976. A Land Use and Land Cover Classification System for Use With Remote Sensor Data. U.S. Geological Survey Prof. Paper 964, U.S. Government Printing Office, Washington. D.C.
3. Brater, E.F. and H.W. King, 1976. Handbook of Hydraulics for the Solution of Hydraulic Engineering Problems. McGraw-Hill Book Company, New York, New York.
4. Chow, V.T., D.R Maidment, and L.W. Mays, 1988. Applied Hydrology. McGraw-Hill Inc., New York, New York.
5. Dingman, S.L., 2001. Physical Hydrology (Second Edition). Pearson Education, pp. 656.
6. ERDAS (Earth Resources Data Analysis System), 1999. ERDAS Field Guide (Fifth Edition). ERDAS, Inc, Atlanta, Georgia, 671 pp.
7. Kite, G.W. and N. Kouwen, 1992. Watershed Modeling Using Land Classifications. Water Resources Research 28(12):3193-3200.
8. Kumar, S. and S.C. Jain, 1982. Application of SCS Infiltration Model. Water Resources Bulletin 18:503-507.
9. Maidment, D.R., 1992a. Grid-Based Computation of Runoff: A Preliminary Assessment. Contract DACW04-92-P-1983, Hydrologic Engineering Center, U.S. Army Corps of Engineers, Davis, California (unpublished).
10. Maidment, D.R., 1992b. A Grid-Network Procedure for Hydrologic Modeling. Contract DACW04-92-P-1983, Hydrologic Engineering Center, U.S. Army Corps of Engineers, Davis, California (unpublished).
11. Maidment, D.R., 1993. GIS and Hydrologic Modeling. In: Environmental Modeling With GIS, M.F. Goodchild, B.O. Parks, and L. Steyaert (Editors). Oxford University Press, New York, New York.
12. Maidment, D.R., J.F. Olivera, A. Calver, A. Eatherral, and W. Fraczek, 1996. A Unit Hydrograph Derived From a Spatially Distributed Velocity Field. Hydrologic Processes 10:831-844.
13. Melesse, A.M., 2002. Spatially Distributed Storm Runoff Modeling Using Remote Sensing and Geographic Information Systems. Ph.D. Dissertation, Agri. and Bio. Engineering Dept., University of Florida, Gainesville, Florida.
14. Melesse, A.M., J.D Jordan, and W.D Graham, 2001. Enhancing Land Cover Mapping Using Landsat Derived Surface Temperature and NDVI. World Water and Environmental Resources Congress, American Society of Civil Engineers, CD Proceedings).
15. Montes, S., 1998. Hydraulics of Open Channel Flows. ASCE Press, Reston, Virginia, 697 pp.
16. Mostaghimi, S. and J.K. Mitchell, 1982. Peak Runoff Model Comparison on Central Illinois Watersheds. Water Resources Bulletin 18(1):9-18.
17. Muzik I., 1995. GIS Derived Distributed Unit Hydrograph, A New Tool for Flood Modeling. In: Developments in Computer Aided Design and Modeling for Civil Engineering, B.H.V. Topping (Editor). Civil-Comp Press, Edinburg, United Kingdom, pp. 243-247.
18. Nash, J.E. and J.V. Sutcliffe, 1970. River Flow Forecasting Through Conceptual Models. A Discussion of Principles. Journal of Hydrology 10:282-290.
19. Neumann, P., W. Fett and G.A. Schultz, 1990. A Geographic Information System as Database for Distributed Hydrological Models. Proc., Int. Symp., Remote Sensing and Water Resources, Enschede, The Netherlands, pp. 781-791.
20. Olivera, J.F. and D.R. Maidment, 1999. Geographic Information Systems (GIS)-Based Spatially Distributed Model for Runoff Routing. Water Resour. Res. 35(4):1155-1164.
21. Ott, M., Z. Su, A.H. Schumann, and G.A. Schultz, 1991. Development of a Distributed Hydrological Model for Flood Forecasting and Impact Assessment of Land-Use Change in the International Mosel River Basin. Hydrology for the Water Management of Large River Basins, Proc. of the Vienna Symposium, IAHS Pub. No. 201.
22. Schultz, G.A., 1993. Hydrological Modeling Based on Remote Sensing Information. Adv. Space Res., 13(5):149-166.
23. SJRWMD (St. Johns River Water Management District), 2002. Spatial Data Lineage Report. Available at http://www.sjrwmd. com/programs/data.html Accessed on May 23, 2002.
24. Tou, J.T. and R.C. Gonzalez, 1974. ISODATA Algorithm in Pattern Classification by Distance Functions. In: Pattern Recognition Principles. Addison-Wesley, Reading, Massachusetts, pp. 97-104.
25. USDA (U.S. Department of Agriculture), 1985. National Engineering Handbook - Section 4: Hydrology. Soil Conservation Service, U.S. Government Printing Office, Washington, D.C.
26. USDA (U.S. Department of Agriculture), 1986. Urban Hydrology for Small Watersheds. Soil Conservation Service, Technical Release 55, U.S. Government Printing Office, Washington, D.C.
27. Wood, M.K and W.H. Blackburn, 1984. An Evaluation of the Hydrologic Soil Groups as Used in the SCS Runoff Method on Rangelands. Water Res. Bulletin 20:379-389.