Abstract
Correct regulation of meteoric surface and subsurface flow waters is a fundamental goal for the sustainable development of the territories. A new system, aimed at real-time monitoring of the rainfall and of the cumulated rainfall, is introduced and discussed in the present paper. The system implements a Sensor Network based on the IoT paradigm and can cover safety-critical “hot spots” with a relatively small number of sensors, strategically placed, in areas not covered by traditional weather radars and rain gauges, and lowering the costs of deployment and maintenance with respects to these devices. A real application case, based on the implementation of the pilot plant at the Monte Scarpino landfill (Genoa, Italy), is presented and discussed. The system performances are assessed on the basis of comparisons with data provided by a polarimetric weather radar and by a traditional rain gauge.
Highlights
Nowadays, the risks deriving from extreme weather conditions is constantly increasing and a growing number of people, as well as their available resources, are significantly exposed to flash flood events, all over the planet
In order to test the systems against data provided by other measuring devices, two different events are examined, both pertaining to summer 2018, one in July and the other in August
A comparison between the estimates of rainfall intensity returned by the weather radar (WR) described in Section 3.2, a rain gauge (RG) located on Monte Gazzo, and the proposed Smart Rainfall System (SRS) sensors is provided
Summary
The risks deriving from extreme weather conditions is constantly increasing and a growing number of people, as well as their available resources, are significantly exposed to flash flood events, all over the planet. The usage of such satellite remote sensing products for monitoring convective precipitation events over small-medium sized hydrologic basins and urban environments is still difficult, as finer spatial resolutions and updating time are needed To deal with such issue, in recent years, research efforts have been dedicated to the evaluation of the optimal RGs density necessary to retrieve the high spatial variability of the rainfall field [7] through the development and testing of dedicated spatial interpolation techniques such as ordinary Kriging and conditional merging with WR products [8]. The latter, hosted on special cloud platforms, analyzes them and derives pluviometric information
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
