Smart Sirens - Civil Protection in Rural Areas

  • Germany carried out a nationwide “Alert Day” in 2020 to test its civil alarm systems. The test revealed some problems. Heterogeneous development structures and topography can be limiting factors for sound propagation. In consequence, sirens could be heard inadequately, depending on their location. Furthermore, the reason of warning remains unknown to the public. In terms of civil protection, warnings with the code of behavior by general available media is desired. Smart sirens can transmit additional spoken information and be installed on already-existing streetlights. In this study, we analyze how smart sirens could lead to an improved civil protection. Exemplarily, a detailed analysis is made for a different structured rural area, Dansenberg in Germany, whereas the influence of local conditions on the sound propagation is considered. We analyzed with the software CadnaA - a software for calculation, assessment and prediction of environmental sound - how the location and number of smart sirens can be optimized in order to produce a full coverage of the study area. We modeled the coverage in different scenarios and compared four scenarios: (a) current situation with two E57 type sirens; (b) replacing the existing sirens with two high-performance sirens; (c) one high-performance siren at the more central point; and (d) optimized network of smart sirens of the type Telegrafia Bono. The aim was to achieve a full coverage with a minimum of warning sirens. We could show that the current situation with two E57 type sirens fails to reach out to the whole population whereas the optimized network of smart sirens results in a better coverage. Therefore, a reconsideration of the existing warning system of civil protection with smart sirens could result in a better coverage and improved information of warning.

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Author:Sascha HenningerORCiD, Martin Schneider, Arne LeitteORCiD
Parent Title (English):Sustainability
Document Type:Article
Language of publication:English
Publication Date:2021/12/21
Year of Publication:2021
Publishing Institute:Technische Universität Kaiserslautern
Date of the Publication (Server):2022/07/25
Issue:2022, 14(1), 15
Number of page:10
Faculties / Organisational entities:Kaiserslautern - Fachbereich Raum- und Umweltplanung
DDC-Cassification:9 Geschichte und Geografie / 914.3 Geografie, Reisen (Deutschland)
Licence (German):Zweitveröffentlichung