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Assessment of Cartosat-1 DEM for Modeling Floods in Data Scarce Regions

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Publicado en:Water Resources Management vol. 30, no. 3 (Feb 2016), p. 1293
Autor principal: Jena, Prachi Pratyasha
Otros Autores: Panigrahi, Banamali, Chatterjee, Chandranath
Publicado:
Springer Nature B.V.
Materias:
Studies
Water resources management
Flood control
Developing countries > LDCs
Computer based modeling
Global positioning systems > GPS
Hydrology
Rivers
Floods
Topography
Geometry
Bias
Water levels
Floodplains
Cross-sections
Elevation
Environmental
Acceso en línea:Citation/Abstract
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Resumen:Digital Elevation Model (DEM) plays an important role in modeling floods. In data scarce developing countries, unavailability of high resolution topography and river cross-sections data are the prime limitations for simulating hydrodynamic models for modeling floods. In the present study, we assess the quality of Cartosat-1 DEMs in providing accurate river cross-sections and floodplain elevations; and hence their suitability in modeling floods. Cartosat-1 DEMs are prepared using Ground Control Points (GCP) of surveyed elevation and bias corrected Shuttle Radar Topography Mission (SRTM) elevation. Surveyed elevation based Cartosat-1 DEM is found to be of best quality while bias corrected SRTM elevation based Cartosat-1 DEM is found to be of reasonable quality on the basis of cross-section representation as well as elevation statistics. Cross-sections derived from the Cartosat-1 DEMs as well as surveyed cross-sections are later used independently in MIKE11 model for 1-dimensional flow modeling. Simulated water levels from models based on Cartosat-1 DEMs are compared graphically with the observed water levels. Modeling performance is also evaluated using different statistical performance criteria. Results show that the models based on Cartosat-1 DEM derived cross-sections perform similar to the model based on surveyed cross-sections. Study concludes that a reasonably accurate DEM, prepared from moderate survey in data scarce region, can be used for deriving requisite river cross-sections for hydrodynamic modeling.
ISSN:0920-4741
1573-1650
DOI:10.1007/s11269-016-1226-9
Fuente:ABI/INFORM Global