Aim of this contribution is to provide simple 1D tools to map risk level along large coastal stretches. The tools here proposed include existing literature methods, i.e. the pressure and impact scoring method developed by EUROSION (www.eurosion.org), the multiple regression method (Gornitz et al., 1994), and 1D modeling by means of STRUREL code (Gollwitzer, 1994) that allows to estimate the process sensitivity to selected parameters, such as incident wave height and tide. These methods are applied to the coasts of the Emilia Romagna Region, Italy, that are located in low-lying areas of the Northern Adriatic Sea, are characterized by a high anthropogenic subsidence, and are already affected by flooding events. The quantitative results in terms of flooding probability are compared with qualitative hazard indications in order to provide a global and objective interpretation of the flooding scenarios.
MAPPING FLOOD HAZARD ALONG THE EMILIA ROMAGNA LITTORAL, ITALY
ZANUTTIGH, BARBARA
2011
Abstract
Aim of this contribution is to provide simple 1D tools to map risk level along large coastal stretches. The tools here proposed include existing literature methods, i.e. the pressure and impact scoring method developed by EUROSION (www.eurosion.org), the multiple regression method (Gornitz et al., 1994), and 1D modeling by means of STRUREL code (Gollwitzer, 1994) that allows to estimate the process sensitivity to selected parameters, such as incident wave height and tide. These methods are applied to the coasts of the Emilia Romagna Region, Italy, that are located in low-lying areas of the Northern Adriatic Sea, are characterized by a high anthropogenic subsidence, and are already affected by flooding events. The quantitative results in terms of flooding probability are compared with qualitative hazard indications in order to provide a global and objective interpretation of the flooding scenarios.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
