| Revista: | Revista geografica academica |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000329038 |
| ISSN: | 1678-7226 |
| Autores: | Hong Quan Nguyen1 Maathuis, Ben2 Rientjes, Tom2 |
| Instituciones: | 1International Institute for Geo-Information Science and Earth Observation, Department of Water Resources, Enschede, Overijssel. Países Bajos |
| Año: | 2008 |
| Volumen: | 2 |
| Número: | 2 |
| Paginación: | 14-25 |
| País: | Brasil |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Analítico, descriptivo |
| Resumen en inglés | In this paper, a utilization of the Shuttle Radar Topographic Mission (SRTM) data in flood prediction in an ungauged Canle catchment is presented. The SRTM data was obtained and processed in order to create a suitable Digital Elevation Model (DEM). A lumped empirical model, the Geomorphologic Instantaneous Unit Hydrograph (GIUH) rainfall – runoff model, is developed for flood prediction. Model parameters are mainly Horton’s morphometric parameters including bifurcation, length and area ratios. A new functionality within the ILWIS GIS-RS package, namely “DEM-hydro processing”, is applied to effectively process the DEM and extract these ratios. Results showed that with limited data (e.g from SRTM), the model was successfully applied for the Can Le catchment |
| Disciplinas: | Geociencias, Geografía |
| Palabras clave: | Hidrología, Geografía física, Misión Topográfica Radar Shuttle, Lluvia, Modelos digitales de elevación (MDE), Río Can Le, Vietnam |
| Keyword: | Earth sciences, Geography, Hydrology, Physical geography, Shuttle Radar Topography Mission (SRTM), Digital elevation models (DEM), Can Le river, Vietnam |
| Texto completo: | Texto completo (Ver PDF) |
