Hydrologic Modeling for Flood Frequency Prediction in Several Data-Limited River Basins in the Balkans

Senarath, Sharika U. S.; Duggan, Daniel P.; Xu, Na; Shu, Chang; Dailey, Peter S.

doi:10.1061/9780784412947.321

Cited by 2 publications

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“…Out of the numerous DEM products, only the Shuttle Radar Topography Mission (SRTM; Farr et al, 2007) DEM and the Advanced Spaceborne Thermal Emission and Reflection Radiometer Global DEM (ASTER GDEM; Tachikawa et al, 2011) are freely available, have near-global coverage and the resolution needed for hydro-meteorological modeling applications (e.g., Chen and Georgakakos, 2013;Senarath et al, 2000Senarath et al, , 2013. The SRTM DEM, initially released in 2003 by the National Geospatial-Intelligence Agency and the National Aeronautics and Space Administration (NASA), is a product of the pioneering mission that used space-borne Interferometric Synthetic Aperture Radar to acquire and produce topographic data from 56° S to 60° N at a three arc-second resolution (~ 90 m).…”

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confidence: 99%

Implications of SRTM- and ASTER-Based DEMs on Hydrologic Responses at Various Catchment Scales

Chen¹,

Senarath²

2014

World Environmental and Water Resources Congress 2014

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Digital Elevation Models (DEMs) are increasingly being used in the hydrological modeling practice. In regions where high-quality survey data is unavailable, such practices typically rely on DEMs derived from remote sensing techniques. Some of the more commonly used DEMs include the Shuttle Radar Topography Mission (SRTM) and the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) products, at 90-and 30-meter resolutions, respectively. This study discusses the implications of SRTM and ASTER on hydrological modeling using a case study at the Marikina River Basin in the Philippines. Catchments delineated by the two products present some notable discrepancies, especially over areas with less elevation variation. Consequently, the catchment discrepancies affect the shape of hydrographs simulated by a lumped model. The results indicate that catchment geomorphology and hydrological responses are better represented by SRTM than ASTER, provided that the hydrologically conditioned SRTM version is used for catchment delineation.

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