Predicting locations sensitive to flash flooding in an arid environment

Journal of Hydrology

Volumn 292, Issue 1-4, 2004, Pages 48-58

  Foody, Giles M ^a   Ghoneim, Eman M ^b   Arnell, Nigel W ^a  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^b BOSTON UNIVERSITY   (United States)

Author keywords

Flash flood; Hydrologic model; Land cover; Remote sensing

Indexed keywords

ARID REGIONS; FLOODS; MATHEMATICAL MODELS; MICROSTRUCTURE; RISK ASSESSMENT; SOILS;

DESERT PAVEMENT; FLASH FLOODS;

HYDROLOGY;

ARID ENVIRONMENT; FLASH FLOOD; FLOOD FORECASTING; HYDROLOGICAL MODELING; LAND COVER; LANDSAT THEMATIC MAPPER; REMOTE SENSING;

AFRICA; EASTERN DESERT; EGYPT; NORTH AFRICA;

EID: 2342479993     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2003.12.045     Document Type: Article

References (37)

1. Allam M.N., Balkhair S.K. Case study evaluation of the geomorphic instantaneous unit hydrograph. Water Resources Management. 1:1987;267-291
2. Baker V.R., Benito G., Rudoy A.N. Paleohydrology of late pleistocene superflooding, Altay mountains, Siberia. Science. 258:1993;348-350
3. Bishop M.P., Colby J.D. Anisotropic reflectance correction of SPOT-3 HRV imagery. International Journal of Remote Sensing. 23:2002;2125-2131
4. Chavez P.S. Image-based atmospheric corrections - revised and revisited. Photogrammetric Engineering and Remote Sensing. 62:1996;1025-1036
5. Chlebek A., Jarabac M. Snorasson A., Finnsdottir H.P., Moss M. The Extremes of the Extremes: Extraordinary Floods. 2002;19-23 IAHS Publication 271, International Association of Hydrological Sciences, Wallingford
6. Chow V.T., Maidment D.R., Mays L.W. Applied Hydrology. 1988;McGraw-Hill, New York
7. Colby J.D., Keating P.L. Land cover classification using Landsat TM imagery in the tropical highlands: the influence of anisitropic reflectance. International Journal of Remote Sensing. 19:1998;1479-1500
8. Douglas I., Bidin K., Balamurugan G., Chappell N.A., Walsh R.P.D., Greer T., Sinun W. The role of extreme events in the impacts of selective tropical forestry on erosion during harvesting and recovery phases at Danum Valley, Sabah. Philosophical Transactions of the Royal Society. B 354:1999;1749-1761
9. Ekstrand S. Landsat TM-based forest damage assessment: correction for topographic effects. Photogrammetric Engineering and Remote Sensing. 62:1996;151-161
10. El-Etr H., Ashmawy M. Flash flood vulnerability and mitigation of the Red Sea basins between latitudes 24°41′ and 25°26′, Egypt. In: Proceedings of the International Conference 30 Years Cooper. 1993;Geological Survey of Egypt, Cairo
11. Engman E.T., Gurney R.J. Remote Sensing in Hydrology. 1991;Chapman and Hall, London
12. Foody G.M. Status of land cover classification accuracy assessment. Remote Sensing of Environment. 80:2002;185-201
13. Foody G.M. Mapping land cover from remotely sensed imagery for input to hydrological models. Abrahart R.J., See L., Kneale P.E. Neural Networks for Hydrological Modelling. 2004;269-289 Swets and Zeitlinger, Lisse
14. Gheith H., Sultan M. Construction of a hydrologic model for estimating Wadi runoff and groundwater recharge in the Eastern Desert, Egypt. Journal of Hydrology. 263:2002;36-55
15. Graef F., Haigis J. Spatial and temporal rainfall variability in the Sahel and its effects on farmers management strategies. Journal of Arid Environments. 48:2001;221-231
16. Greenbaum N., Margalit A., Schick A.B., Backer V.R. A high magnitude storm and flood in a hyperarid catchment, Nahal Zin, Negev Desert, Israel. Hydrological Processes. 12:1998;1-23
17. Herschy R. The world's maximum observed floods. Snorasson A., Finnsdottir H.P., Moss M. The Extremes of the Extremes: Extraordinary Floods. 271:2002;355-360 IAHS Publication 271, International Association of Hydrological Sciences, Wallington
18. Hoshi T., Uchida S., Kotoda K. Development of a system to estimate evapotranspiration over complex terrain using Landsat MSS, elevation and meteorological data. Hydrological Sciences Journal. 4:1989;635-649
19. Langley S.K., Cheshire H.M., Humes K.S. A comparison of single date and multitemporal satellite image classifications in a semi-arid grassland. Journal of Arid Environments. 49:2001;401-411
20. Mather P.M. Computer Processing of Remotely-Sensed Images. second ed. 1999;Wiley, Chichester
21. Mimikou M., Baltas E., Varanou E. A study of extreme storm events in the Greater Athens area, Greece. Snorasson A., Finnsdottir H.P., Moss M. The Extremes of the Extremes: Extraordinary Floods. 2002;161-165 IAHS Publication 271, International Association of Hydrological Sciences, Wallingford
22. Oba G. The effect of multiple droughts on cattle in Obbu, Northern Kenya. Journal of Arid Environments. 49:2001;375-386
23. Olivera F., Maidment D.R. GIS tools for HMS modelling support. Maidment D.R., Djokic D. Hydrologic and Hydraulic Modelling Support. 1999;ESRI Press, Redlands, CA
24. Papp F. Extremes of extreme floods. Snorasson A., Finnsdottir H.P., Moss M. The Extremes of the Extremes: Extraordinary Floods. 2002;373-378 IAHS Publication 271, International Association of Hydrologic Sciences, Davis, CA
25. Peters J.C. HEC-HMS, Hydrologic Modeling Systems. US Army Corps of Engineers. 1998;Hydrologic Engineering Center, Davis, CA
26. Philip J.R. The theory of infiltration: 4. Sorptivity and algebraic infiltration equations. Soil Science. 84:1957;257-264
27. Reid I., Laronne J.B., Powell M.D. Flash-flood and bedload dynamics of desert gravel-bed streams. Hydrological Processes. 12:1998;543-557
28. 2AL). 1990;102-107 American Society of Civil Engineers, New York
29. SCS. National Engineering Handbook. US Department of Agriculture. 1985;Soil Conservation Service, Washington, DC
30. SCS. Urban Hydrology for Small Watersheds. Technical Release 55. 1986;US Department of Agriculture, Soil Conservation Service, Sprinfield VA
31. Sharma K.D., Singh S. Runoff estimation using Landsat Thematic Mapper data and the SCS model. Hydrological Sciences Journal. 37:1992;39-52
32. Skaggs R.W., Khaleel R. Infiltration, Hydrologic Modelling of Small Watersheds. 1982;American Society of Agricultural Engineers, St Joseph, MI
33. Song C., Woodcock C.E., Set K.C., Pax-Lenney M., Macomber S.A. Classification and change detection using Landsat TM data: when and how to correct atmospheric effects. Remote Sensing of Environment. 75:2001;230-244
34. Storck P., Bowling L., Wetherbee P., Lettenmaier D. Application of a GIS-based distributed hydrology model for prediction of forest harvest effects on peak stream flow in the Pacific Northwest. Hydrological Processes. 12:1998;889-904
35. Su Z. Remote sensing of land use and vegetation for mesoscale hydrological studies. International Journal of Remote Sensing. 21:2000;213-233
36. Tso B., Mather P.M. Classification Methods for Remotely Sensed Data. 2001;Taylor and Francis, London
37. 2AL). 1990;525-529 American Society of Civil Engineers, New York