A combined hydrological and hydraulic modelling approach for the flood hazard mapping of the Po river basin. Issue 1 (8th December 2021)

• Record Type: Journal Article
• Authors: Nogherotto, Rita; Fantini, Adriano; Raffaele, Francesca; Di Sante, Fabio; Dottori, Francesco; Coppola, Erika; Giorgi, Filippo
• Is Part Of: Journal of flood risk management. Volume 15:Issue 1(2022)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2021-12-08
• Subjects: CA2D hydraulic model -- CHyM hydrological model -- flood hazard -- flood mapping; Flood control -- Periodicals; Floods -- Risk assessment -- Periodicals; Flood damage prevention -- Periodicals; Flood warning systems -- Periodicals; 627.405
• DOI: 10.1111/jfr3.12755
• Languages: English
• ISSNs: 1753-318X

Abstract

Abstract: The identification of flood prone areas is essential for a range of engineering, risk reduction and research applications. Here, we describe a combined hydrological and hydraulic modelling approach for the assessment of flood‐prone areas and we present the results obtained over the Po river (Northern Italy). Runoff and river discharges are calculated through the hydrological model CHyM driven by GRIPHO, a new precipitation dataset for Italy. River flow data are used to obtain flood hydrographs for the CA2D hydraulic model, which calculates flood hazard maps at a resolution of 90 m. Flood simulations are run over a re‐shaped HydroSHEDS digital elevation model that includes information of the channel geometry. Modeled flood hydrographs are compared with observed data for a choice of gauging stations, showing a good performance of the CHyM model. We validate the flood hazard maps against observed flood events and official hazard maps. For high return periods, modelled maps can correctly identify up to 67% of the flood extent, both on the Po River and on smaller tributaries, while performances are more variable for lower return periods. Overall, the proposed approach suggests a strong potential for further applications, such as flood hazard assessment under future climate scenarios.