A Statistical Model for Flood Depth Estimation in Southeast Europe

A model taxonomy for flood fragility and vulnerability assessment of buildings

“…This becomes challenging in countries that lack detailed and highresolution topography data and relevant information on stream and floodplain characteristics, for instance, in developing countries. Regression-based approaches (e.g., Galasso and Senarath, 2014) can be used as an acceptable alternative for developing depth versus river discharge relationships in catchments with sparse data, provided that a suitable data set exists in another data-rich basin for the generation of the necessary regression relationships. In general, the suitability of a given assessment method depends on the characteristics of the area under study and the study's aims/requirements, and the availability of data (e.g., Apel et al, 2004).…”

Probabilistic earthquake and flood loss assessment in the Middle East

“…Moreover, it is a true hydrodynamic flood model, explicitly simulating flood wave propagation using a 2D shallow-water formulation (Bates et al 2010). Lastly, since input data in developing countries is limited (for a discussion see Galasso and Senarath 2014), river discharge is estimated with a method that allows transferring data from data-rich countries to poorer nations (Smith et al 2015). This methodology does not use a cascade hydrological modelling approach to derive discharge, but instead uses a regionalized flood frequency analysis, linking extreme flow behaviour to upstream catchment characteristics.…”

Flood Depth Estimation in Agricultural Lands From L and C-Band Synthetic Aperture Radar Images and Digital Elevation Model

“…Most of the detailed inundation maps are produced with the help of hydraulic models. In the absence of high-resolution topographic data or information of stream and flood plain characteristics, it becomes challenging to develop hydraulic models [5]. In case of extreme precipitation events, large river basins with area extending over 400,000 Sq.km, presents complex flood configurations.…”

“…Assam is one of the states in India, which is a victim to regular extreme precipitation events resulting in flood. Moreover, 65.2% in rural Assam are agricultural households, which depends on agriculture as major source of income [5]. Numerous agencies rely upon satellite-based strategies for rapid monitoring.…”

“…Besides, most of the methods did not take into consideration, the underestimation and overestimation of flood boundary caused by double bounce returns from flooded vegetation. Approaches adopted in studies [5], [9], [10], [13], and [15] provided information only in the flood plains and ignored places distant from the rivers. Cian et.al, (2018) [30] provided a semi-automatic methodology that is based on statistical analysis of the DEM to calculate water surface elevation and taken into consideration underestimation and over estimation errors in flood boundary.…”