Authors:
Stefania Nanni
1
and
Gianluca Mazzini
2
Affiliations:
1
LepidaSpa, Italy
;
2
University of Ferrara, Italy
Keyword(s):
Sensornet Platform, Early-warning System, Hydrological Simulation Model, Meteorological Modeling, Extreme Rainfall Phenomena.
Abstract:
In order to increase the resilience of the regional territory to extreme rainfall phenomena, LepidaSpA has enhanced an already existing IOT platform, Sensornet, created to manage heterogeneous sensor networks extended all over the entire territory of the Emilia-Romagna Region, introducing some new data not related to physical measures, such as rivers level or amount of rainfall, but to their forecast. The novelty and the strategic importance of the project presented in this paper is the incremental integration within Sensornet platform of virtual sensors, based on hydrological simulation models and meteorological modelling, sharing the same data model initially defined for physical ones, thus making available not only the continuous monitoring of phenomena and their evolution, but also the generation of early warning in case of critical thresholds with a forecast up to 12/24 hours. The capability to detect forerunners constitutes a fundamental requirement to increase the ability to r
ecognize in advance critical scenarios and to support their management.
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