STORM RUNOFF PREDICTION BASED ON A SPATIALLY DISTRIBUTED TRAVEL TIME METHOD UTILIZING REMOTE SENSING AND GIS1

Journal of the American Water Resources Association - Tập 40 Số 4 - Trang 863-879 - 2004
Assefa M. Melesse, W. D. Graham

Tóm tắt

ABSTRACT: In this study, remotely sensed data and geographic information system (GIS) tools were used to estimate storm runoff response for Simms Creek watershed in the Etonia basin in northeast Florida. Land cover information from digital orthophoto quarter quadrangles (DOQQ), and enhanced thematic mapper plus (ETM+) were analyzed for the years 1990, 1995, and 2000. The corresponding infiltration excess runoff response of the study area was estimated using the U.S. Department of Agriculture (USDA), Natural Resources Conservation Service Curve Number (NRCS‐CN) method. A digital elevation model (DEM)/GIS technique was developed to predict stream response to runoff events based on the travel time from each grid cell to the watershed outlet. A comparison of predicted to observed stream response shows that the model predicts the total runoff volume with an efficiency of 0.98, the peak flow rate at an efficiency of 0.85, and the full direct runoff hydrograph with an average efficiency of 0.65. The DEM/GIS travel time model can be used to predict the runoff response of ungaged watersheds and is useful for predicting runoff hydrographs resulting from proposed large scale changes in the land use.

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Tài liệu tham khảo

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.

Anderson J.R., 1976, U.S. Geological Survey Prof. Paper 964

Brater E.F., 1976, Handbook of Hydraulics for the Solution of Hydraulic Engineering Problems

Chow V.T., 1988, Applied Hydrology

Dingman S.L., 2001, Physical Hydrology, 656

ERDAS (Earth Resources Data Analysis System), 1999, ERDAS Field Guide, 671

10.1029/92WR01819

10.1111/j.1752-1688.1982.tb00018.x

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 Contract DACW04–92‐P‐1983 Hydrologic Engineering Center U.S. Army Corps of Engineers Davis California (unpublished).

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 Contract DACW04–92‐P‐1983 Hydrologic Engineering Center U.S. Army Corps of Engineers Davis California (unpublished).

Maidment D.R., 1993, Environmental Modeling With GIS

10.1002/(SICI)1099-1085(199606)10:6<831::AID-HYP374>3.0.CO;2-N

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.

Melesse A.M. J.D.Jordan andW.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).

Montes S., 1998, Hydraulics of Open Channel Flows, 697

10.1111/j.1752-1688.1982.tb04521.x

10.4203/ccp.30.10.2

10.1016/0022-1694(70)90255-6

Neumann P. WFettandG.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.

10.1029/1998WR900104

Ott M. Z.Su A.H.Schumann andG.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 LAHS Pub. No. 201.

10.1016/0273-1177(93)90540-R

SJRWMD (St. Johns River Water Management District) 2002.Spatial Data Lineage Report.Available athttp://www.sjrwmd.com/programs/data.htmlAccessed onMay 23 2002.

Tou J.T., 1974, Pattern Recognition Principles, 97

USDA (U.S. Department of Agriculture), 1985, Soil Conservation Service

USDA (U.S. Department of Agriculture), 1986, Soil Conservation Service, Technical Release 55

10.1111/j.1752-1688.1984.tb04720.x