The identiﬁcation of ﬂood-prone areas is a critical issue becoming everyday more pressing for our society. A preliminary delineation can be carried out by DEM-based procedures that rely on basin geomorphologic features. In the present paper, we investigated the dominant topographic controls for the ﬂood exposure using techniques of pattern classiﬁcation through linear binary classiﬁers based on DEM-derived morphologic features. Our ﬁndings may help the deﬁnition of new strategies for the delineation of ﬂood – prone areas with DEM-based procedures. With this aim, local features—which are generally used to describe the hydrological characteristics of a basin—and composite morphological indices are taken into account in order to identify the most signiﬁcant one.
Analyses are carried out on two different datasets: one based on ﬂood simulations obtained with a 1D hydraulic model, and the second one obtained with a 2D hydraulic model. The analyses highlight the potential of each morphological descriptor for the identiﬁcation of the extent of ﬂood-prone areas and, in particular, the ability of one geomorphologic index to represent ﬂood-inundated areas at different scales of application.
How to cite: Manfreda, S., C. Samela, A. Gioia, G. Consoli, V. Iacobellis, L. Giuzio, A. Cantisani, A. Sole, Flood-Prone Areas Assessment Using Linear Binary Classifiers based on flood maps obtained from 1D and 2D hydraulic models, Natural Hazards, 79 (2), 735-754, (doi: 10.1007/s11069-015-1869-5), 2015. [pdf]