Recent studies show how geomorphic descriptors, retrieved from digital elevation models (DEMs), can be used for flood hazard mapping. As they strictly depend on the accuracy of the input DEMs and reference flood hazard maps used for training, DEM-based flood hazard models may display severe inconsistencies. Our study shows the application of two advanced DEM-based models to a large study area, and presents two main innovative points. First, the delicate tasks of appropriately selecting the input DEM and flood hazard map are specifically addressed with newly defined methods. Second, the ability of DEM-based models to exploit their natural features to enhance flood hazard mapping over the study region is investigated. Our results show (a) the benefits of considering multiple geomorphic descriptors, (b) the potential of DEM-based models for completing the information of imperfect reference flood hazard maps, and (c) the advantages of continuous representation of hazard over binary flood maps.
Geomorphic flood hazard mapping: from floodplain delineation to flood hazard characterization / Magnini, Andrea; Lombardi, Michele; Bujari, Armir; Mattivi, Pietro; Shustikova, Iuliia; Persiano, Simone; Patella, Marco; Bitelli, Gabriele; Bellavista, Paolo; Lo Conti, Francesco; Tirri, Antonio; Bagli, Stefano; Mazzoli, Paolo; Castellarin, Attilio. - In: HYDROLOGICAL SCIENCES JOURNAL. - ISSN 0262-6667. - STAMPA. - 68:16(2023), pp. 2388-2403. [10.1080/02626667.2023.2269909]
Geomorphic flood hazard mapping: from floodplain delineation to flood hazard characterization
Magnini, Andrea
Primo
;Lombardi, Michele;Bujari, Armir;Mattivi, Pietro;Shustikova, Iuliia;Persiano, Simone;Patella, Marco;Bitelli, Gabriele;Bellavista, Paolo;Castellarin, AttilioUltimo
2023
Abstract
Recent studies show how geomorphic descriptors, retrieved from digital elevation models (DEMs), can be used for flood hazard mapping. As they strictly depend on the accuracy of the input DEMs and reference flood hazard maps used for training, DEM-based flood hazard models may display severe inconsistencies. Our study shows the application of two advanced DEM-based models to a large study area, and presents two main innovative points. First, the delicate tasks of appropriately selecting the input DEM and flood hazard map are specifically addressed with newly defined methods. Second, the ability of DEM-based models to exploit their natural features to enhance flood hazard mapping over the study region is investigated. Our results show (a) the benefits of considering multiple geomorphic descriptors, (b) the potential of DEM-based models for completing the information of imperfect reference flood hazard maps, and (c) the advantages of continuous representation of hazard over binary flood maps.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.