Articles | Volume 21, issue 10
https://doi.org/10.5194/nhess-21-2899-2021
https://doi.org/10.5194/nhess-21-2899-2021
Research article
 | 
30 Sep 2021
Research article |  | 30 Sep 2021

Are sirens effective tools to alert the population in France?

Johnny Douvinet, Anna Serra-Llobet, Esteban Bopp, and G. Mathias Kondolf

Related authors

Tsunami Risk and Alert Perceptions in Five Municipalities bordering the French Mediterranean Basin
Johnny Douvinet, Noé Carles, Pierre Foulquier, and Mathieu Peroche
EGUsphere, https://doi.org/10.5194/egusphere-2023-558,https://doi.org/10.5194/egusphere-2023-558, 2023
Short summary

Related subject area

Databases, GIS, Remote Sensing, Early Warning Systems and Monitoring Technologies
A neural network model for automated prediction of avalanche danger level
Vipasana Sharma, Sushil Kumar, and Rama Sushil
Nat. Hazards Earth Syst. Sci., 23, 2523–2530, https://doi.org/10.5194/nhess-23-2523-2023,https://doi.org/10.5194/nhess-23-2523-2023, 2023
Short summary
Brief communication: Landslide activity on the Argentinian Santa Cruz River mega dam works confirmed by PSI DInSAR
Guillermo Tamburini-Beliveau, Sebastián Balbarani, and Oriol Monserrat
Nat. Hazards Earth Syst. Sci., 23, 1987–1999, https://doi.org/10.5194/nhess-23-1987-2023,https://doi.org/10.5194/nhess-23-1987-2023, 2023
Short summary
Inform@Risk. The Development of a Prototype for an Integrated Landslide Early Warning System in an Informal Settlement: the Case of Bello Oriente in Medellín, Colombia
Christian Werthmann, Marta Sapena, Marlene Kühnl, John Singer, Carolina Garcia, Bettina Menschik, Heike Schäfer, Sebastian Schröck, Lisa Seiler, Kurosch Thuro, and Hannes Taubenböck
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-53,https://doi.org/10.5194/nhess-2023-53, 2023
Revised manuscript under review for NHESS
Short summary
Impact of topography on in situ soil wetness measurements for regional landslide early warning – a case study from the Swiss Alpine Foreland
Adrian Wicki, Peter Lehmann, Christian Hauck, and Manfred Stähli
Nat. Hazards Earth Syst. Sci., 23, 1059–1077, https://doi.org/10.5194/nhess-23-1059-2023,https://doi.org/10.5194/nhess-23-1059-2023, 2023
Short summary
Earthquake building damage detection based on synthetic-aperture-radar imagery and machine learning
Anirudh Rao, Jungkyo Jung, Vitor Silva, Giuseppe Molinario, and Sang-Ho Yun
Nat. Hazards Earth Syst. Sci., 23, 789–807, https://doi.org/10.5194/nhess-23-789-2023,https://doi.org/10.5194/nhess-23-789-2023, 2023
Short summary

Cited articles

Atkinson, A. B.: On The Measurement of Inequality, J. Econ. Theory, 2, 244–263, 1970. 
Aumond, P., Lavandier, C., Ribeiro, C., Gonzalez Boix, E., Kambona, K., D'Hondt, E., and Delaitre, P.: A study of the accuracy of mobile technology for measuring urban noise pollution in large scale participatory sensing campaigns, Applied Acoustics, Acoustics in Smart Cities, 117, Part B (février), 219–226, https://doi.org/10.1016/j.apacoust.2016.07.011, 2017. 
Bean, H., Liu, B. F., Madden, S., Sutton, J., Wood, M. M., and Mileti, D. S.: Disaster Warnings in Your Pocket: How Audiences Interpret Mobile Alerts for an Unfamiliar Hazard, J. Conting. Crisis Man., 24, 136–147, https://doi.org/10.1111/1468-5973.12108, 2016. 
Becerra, S., Peltier, A., Antoine, J. M., Labat, D., Chorda, J., Ribolzi, O., Daupras, F., and Dartus, D.: Comprendre les comportements face à un risque modéré d'inondation, Etude de cas dans le périurbain toulousain (Sud-Ouest de la France), Hydrolog. Sci. J., 58, 945–965, 2013. 
Bopp, E., Gisclard, B., Douvinet, J., Weiss, K., and Martin, G.: How to improve alert systems: the technical, human, environmental and structural aspects, Austr. J. Emerg. Manage., 36, 67–75, 2021. 
Download
Short summary
This study proposes to combine results of research regarding the spatial inequalities due to the siren coverage, the political dilemma of siren activation, and the social problem of siren awareness and trust for people in France. Surveys were conducted using a range of complementary methods (GIS analysis, statistical analysis, questionnaires, interviews) through different scales. Results show that siren coverage in France is often determined by population density but not risks or disasters.
Altmetrics
Final-revised paper
Preprint