The dynamic evolution of a river and the adjacent morphological environment are particularly important especially if there are communities that concentrate in these areas their socio-economic activities. So a proper hydraulic risk management is an increasingly felt necessity, but when working at small scales no established fast methodology exists to map the position and the height of the various elements with centimetric accuracy. In the current work an operative methodology likely to obtain this purpose is proposed on the basis of data obtained from a real test area. It is along the Arno river (Italy) which could be considered on the whole a representative case study of other realities in the world. Various issues have been deepened. Firstly RTK-GPS measurements and information about all the natural and artificial elements, connected to hydraulic risk and fluvial dynamics, were collected. All these elements were mapped with high accuracy, in particular a local geoid model, related only to the study area, was developed to obtain orthometric heights affected with errors ≤ 0.05 m. Consequently a GIS geodatabase was built to visualize the spatial distribution of the mapped elements and to store the most important technical data. Such geodatabase provides an overview of the territories connected with the fluvial dynamics of the main rivers near the city of Firenze. This is confirmed by some applications, realized to verify the capability of the instrument. First of all the real hydraulic risk in the study area has been checked out. So the comparison between the measured dike height and the hydraulic modeling conducted by the Arno River Basin Authority has identified areas at risk of overflowing for various return periods (T30, T100, T200 , T500). Subsequently a deeper analysis of hydraulic hazards has been carried out in the urban area of Firenze. A model of surface-water flows concentrated on the historic center has provided a comprehensive response of this area to the sudden appearance of surface-water flows due mainly to the overflowing of the Arno, but also to the excess rainwater and eventually the superficial fluids from other sources. The modeling has been carried out uniquely on the basis of a geomorphological analysis, processing new detailed LiDAR images in GIS environment. For the first time the urban water flows have been identified with extreme precision during three possible phases: during the normal flowing conditions of the Arno, in the event of river obstruction at bridges and in case of undifferentiated run-off out from the riverbed. The three simulations provide the likely scenarios in the urban area of Firenze which can however be integrated with other information for the definition of specific issues. In this work in order to better define the level of safety of the city all the critical elements mapped during the field inspections and the dikes at risk of overflowing previously determined have been incorporated in three models identifyng some critical urban areas.

Development of a practical tool for the flood risk assessment in highly urbanized areas: The case of the Arno River, Firenze (Italy)

Morelli S.;Segoni S.;
2011-01-01

Abstract

The dynamic evolution of a river and the adjacent morphological environment are particularly important especially if there are communities that concentrate in these areas their socio-economic activities. So a proper hydraulic risk management is an increasingly felt necessity, but when working at small scales no established fast methodology exists to map the position and the height of the various elements with centimetric accuracy. In the current work an operative methodology likely to obtain this purpose is proposed on the basis of data obtained from a real test area. It is along the Arno river (Italy) which could be considered on the whole a representative case study of other realities in the world. Various issues have been deepened. Firstly RTK-GPS measurements and information about all the natural and artificial elements, connected to hydraulic risk and fluvial dynamics, were collected. All these elements were mapped with high accuracy, in particular a local geoid model, related only to the study area, was developed to obtain orthometric heights affected with errors ≤ 0.05 m. Consequently a GIS geodatabase was built to visualize the spatial distribution of the mapped elements and to store the most important technical data. Such geodatabase provides an overview of the territories connected with the fluvial dynamics of the main rivers near the city of Firenze. This is confirmed by some applications, realized to verify the capability of the instrument. First of all the real hydraulic risk in the study area has been checked out. So the comparison between the measured dike height and the hydraulic modeling conducted by the Arno River Basin Authority has identified areas at risk of overflowing for various return periods (T30, T100, T200 , T500). Subsequently a deeper analysis of hydraulic hazards has been carried out in the urban area of Firenze. A model of surface-water flows concentrated on the historic center has provided a comprehensive response of this area to the sudden appearance of surface-water flows due mainly to the overflowing of the Arno, but also to the excess rainwater and eventually the superficial fluids from other sources. The modeling has been carried out uniquely on the basis of a geomorphological analysis, processing new detailed LiDAR images in GIS environment. For the first time the urban water flows have been identified with extreme precision during three possible phases: during the normal flowing conditions of the Arno, in the event of river obstruction at bridges and in case of undifferentiated run-off out from the riverbed. The three simulations provide the likely scenarios in the urban area of Firenze which can however be integrated with other information for the definition of specific issues. In this work in order to better define the level of safety of the city all the critical elements mapped during the field inspections and the dikes at risk of overflowing previously determined have been incorporated in three models identifyng some critical urban areas.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11576/2690185
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