Hydrodynamic Modeling for Flood Hazard Assessment in a Data Scarce Region: a Case Study of Bharathapuzha River Basin
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Environmental Science
Link
http://link.springer.com/content/pdf/10.1007/s10666-019-09664-y.pdf
Reference83 articles.
1. Álvarez, M., Puertas, J., Peña, E., & Bermúdez, M. (2017). Two-dimensional dam-break flood analysis in data-scarce regions: The case study of Chipembe dam, Mozambique. Water, 9, 432. https://doi.org/10.3390/w9060432 .
2. Apel, H., Thieken, A. H., Merz, B., & Blöschl, G. (2004). Flood risk assessment and associated uncertainty. Natural Hazards and Earth System Sciences, 4, 295–308.
3. Aronica, G., Bates, P. D., & Horritt, M. S. (2002). Assessing the uncertainty in distributed model predictions using observed binary pattern information within GLUE. Hydrological Processes, 16, 2001–2016. https://doi.org/10.1002/hyp.398 .
4. Bates, P., & De Roo, A. P. (2000). A simple raster-based model for flood inundation simulation. Journal of Hydrology, 236, 54–77. https://doi.org/10.1016/S0022-1694(00)00278-X .
5. Bates, P. D., Anderson, M. G., Baird, L., Walling, D. E., & Simm, D. (1992). Modelling floodplain flows using a two-dimensional finite element model. Earth Surface Processes and Landforms, 17, 575–588. https://doi.org/10.1002/esp.3290170604 .
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