The goal of this work is to illustrate a methodology aimed at planning a monitoring network in urban areas affected by hydrogeological instability phenomena. The monitoring network will provide a continuous collection of data and their transmission through a Global Position System (GPS) to a central collecting and processing office. The monitoring of an area prone to high landslide risk, as could be any urban area (the town of Poggioreale in our study case), should take into consideration the collection of data relevant both for the knowledge of the landslide features as well as for the planning of reclamation action. At the same time it would also seem opportune to collect data relating to deep movements, to neutral pressures and to atmospheric parameters. All these data will be detected, collected and transmitted using a GPS technology in order to create a database to be consulted in real time, easily added to in time and useful for defining the pre-alert and/or alert thresholds. Of course, a careful evaluation of the geological and geomorphological elements is needed to optimize the amount and the distribution of the monitoring points in the planning of such a monitoring network. The characterization of the geological, hydrological and morphological aspects is necessary to identify the parameters to be used for monitoring purposes. In the Poggioreale area, the lithological and hydrological features and the amount of rainfall constitute the main factors responsible for gravitational processes (MONTELEONE et alii, 2000). The morphology of the area as a whole is in particular or especially characterized by complex landslides which indicate the precarious state of the slopes. The monitoring of the Poggioreale area, should therefore provide for: deep displacement, surface displacement, neutral pressures and rainfall conditions (BAMBINA et alii, 2003). Those sites selected as monitoring points of the network, lie in the downtown urban area and in its immediate neighbourhood. The choice of such points has been made according to two basic criteria: the presence of areas particularly subject to reactivation slope processes and the presence of public infrastructure, dwellings and technological systems representing areas of greatest economic value. The different types of landslide impose also a random planning of sections relating to surface and deep movements, whose positions correspond to those significant areas, aimed at controlling the evolution of the slope instability. The piezometric control network has been planned taking into consideration the variability of the water table which is a function of the different degree of permeability showed by different elements of the Sandy-Marly Formation of the Belice Valley.

BAMBINA A, MONTELEONE S, SABATINO M (2007). STUDIO METODOLOGICO PER LA REALIZZAZIONE DI UNA RETE DI MONITORAGGIO FRANE IN AREE URBANIZZATE: IL CASO DI POGGIOREALE. RENDICONTI DELLA SOCIETÀ GEOLOGICA ITALIANA, 4, 3-10.

STUDIO METODOLOGICO PER LA REALIZZAZIONE DI UNA RETE DI MONITORAGGIO FRANE IN AREE URBANIZZATE: IL CASO DI POGGIOREALE

MONTELEONE, Salvatore;SABATINO, Maria
2007-01-01

Abstract

The goal of this work is to illustrate a methodology aimed at planning a monitoring network in urban areas affected by hydrogeological instability phenomena. The monitoring network will provide a continuous collection of data and their transmission through a Global Position System (GPS) to a central collecting and processing office. The monitoring of an area prone to high landslide risk, as could be any urban area (the town of Poggioreale in our study case), should take into consideration the collection of data relevant both for the knowledge of the landslide features as well as for the planning of reclamation action. At the same time it would also seem opportune to collect data relating to deep movements, to neutral pressures and to atmospheric parameters. All these data will be detected, collected and transmitted using a GPS technology in order to create a database to be consulted in real time, easily added to in time and useful for defining the pre-alert and/or alert thresholds. Of course, a careful evaluation of the geological and geomorphological elements is needed to optimize the amount and the distribution of the monitoring points in the planning of such a monitoring network. The characterization of the geological, hydrological and morphological aspects is necessary to identify the parameters to be used for monitoring purposes. In the Poggioreale area, the lithological and hydrological features and the amount of rainfall constitute the main factors responsible for gravitational processes (MONTELEONE et alii, 2000). The morphology of the area as a whole is in particular or especially characterized by complex landslides which indicate the precarious state of the slopes. The monitoring of the Poggioreale area, should therefore provide for: deep displacement, surface displacement, neutral pressures and rainfall conditions (BAMBINA et alii, 2003). Those sites selected as monitoring points of the network, lie in the downtown urban area and in its immediate neighbourhood. The choice of such points has been made according to two basic criteria: the presence of areas particularly subject to reactivation slope processes and the presence of public infrastructure, dwellings and technological systems representing areas of greatest economic value. The different types of landslide impose also a random planning of sections relating to surface and deep movements, whose positions correspond to those significant areas, aimed at controlling the evolution of the slope instability. The piezometric control network has been planned taking into consideration the variability of the water table which is a function of the different degree of permeability showed by different elements of the Sandy-Marly Formation of the Belice Valley.
2007
BAMBINA A, MONTELEONE S, SABATINO M (2007). STUDIO METODOLOGICO PER LA REALIZZAZIONE DI UNA RETE DI MONITORAGGIO FRANE IN AREE URBANIZZATE: IL CASO DI POGGIOREALE. RENDICONTI DELLA SOCIETÀ GEOLOGICA ITALIANA, 4, 3-10.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/17300
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