The delineation of food-prone areas is one of the most important steps for food risk assessment and mitigation. This study uses a probabilistic and DEM-based framework for the delineation of food-prone areas based on information about the extent of historical flooding in the area of interest. This is particularly useful for the delineation of food-prone areas in cases where more accurate hydraulic profile calculations are not available. The delineation of food-prone areas is carried out by using the Topographic Wetness Index (TWI) which allows for the delineation of a portion of a hydrographic basin potentially exposed to flooding by identifying all the areas characterized by a topographic index that exceeds a given threshold. A Bayesian updating framework is used for estimating the TWI threshold for identifying the food-prone areas based on available information on the spatial extent of historical flooding. An application of the proposed method is demonstrated for the delineation of potentially food-prone areas in the city of Ouagadougou, based on the observed spatial extent of the 2009 flooding event in the city.
|Translated title of the contribution||Probabilistic delineation of flood-prone areas based on a digital elevation model and the extent of historical flooding: The case of ouagadougou|
|Number of pages||12|
|Journal||Boletin Geologico y Minero|
|Publication status||Published - 1 Jan 2014|
- Bayesian parameter estimation
- Food-prone areas
- Topographic wetness index