Modeling the uncertainty of runoff flow path on a small agricultural watershed

Recently, many munipalities have been concerned by muddy floods in Belgium after rain events. Unfortunately they lead to many consequences related to financial and emotional aspects. For many years the government have been trying to find solutions by helping municipalities by providing them with technical support through projects like ERRUISSOL and GISER. To implement solutions, it is necessary to be able to predict runoff flow path on agricultural watersheds. This is done by applying water flow direction algorithms on digital elevation model (DEM) built from elevation data. However, digital elevation models are not free of errors, and therefore they can impact the extracted flow path position. Our aim is to present the Monte Carlo simulation that is used to model the uncertainty of runoff flow path extracted from high resolution DEM built from terrestrial laser scanner.