Articles | Volume 15, issue 7
Nat. Hazards Earth Syst. Sci., 15, 1645–1658, 2015
https://doi.org/10.5194/nhess-15-1645-2015
Nat. Hazards Earth Syst. Sci., 15, 1645–1658, 2015
https://doi.org/10.5194/nhess-15-1645-2015

Research article 29 Jul 2015

Research article | 29 Jul 2015

READY: a web-based geographical information system for enhanced flood resilience through raising awareness in citizens

R. Albano et al.

Related authors

A GIS-based model to estimate flood consequences and the degree of accessibility and operability of strategic emergency response structures in urban areas
R. Albano, A. Sole, J. Adamowski, and L. Mancusi
Nat. Hazards Earth Syst. Sci., 14, 2847–2865, https://doi.org/10.5194/nhess-14-2847-2014,https://doi.org/10.5194/nhess-14-2847-2014, 2014
Short summary

Related subject area

Databases, GIS, Remote Sensing, Early Warning Systems and Monitoring Technologies
Predicting power outages caused by extratropical storms
Roope Tervo, Ilona Láng, Alexander Jung, and Antti Mäkelä
Nat. Hazards Earth Syst. Sci., 21, 607–627, https://doi.org/10.5194/nhess-21-607-2021,https://doi.org/10.5194/nhess-21-607-2021, 2021
Short summary
Near-real-time automated classification of seismic signals of slope failures with continuous random forests
Michaela Wenner, Clément Hibert, Alec van Herwijnen, Lorenz Meier, and Fabian Walter
Nat. Hazards Earth Syst. Sci., 21, 339–361, https://doi.org/10.5194/nhess-21-339-2021,https://doi.org/10.5194/nhess-21-339-2021, 2021
Short summary
Assessing the accuracy of remotely sensed fire datasets across the southwestern Mediterranean Basin
Luiz Felipe Galizia, Thomas Curt, Renaud Barbero, and Marcos Rodrigues
Nat. Hazards Earth Syst. Sci., 21, 73–86, https://doi.org/10.5194/nhess-21-73-2021,https://doi.org/10.5194/nhess-21-73-2021, 2021
Short summary
Long-term magnetic anomalies and its possible relationship to the latest Greater Chilean earthquakes in the context of the seismo-electromagnetic theory
Enrique Guillermo Cordaro, Patricio Venegas-Aravena, and David Laroze
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2020-354,https://doi.org/10.5194/nhess-2020-354, 2020
Preprint under review for NHESS
Short summary
Online Urban Waterlogging Monitoring Based on Recurrent Neural Network for Classification of Microblogging Text
Hui Liu, Ya Hao, Wenhao Zhang, Hanyue Zhang, Fei Gao, and Jinping Tong
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2020-335,https://doi.org/10.5194/nhess-2020-335, 2020
Revised manuscript accepted for NHESS

Cited articles

Albano, R., Sole, A., Adamowski, J., and Mancusi, L.: A GIS-based model to estimate flood consequences and the degree of accessibility and operability of strategic emergency response structures in urban areas, Nat. Hazards Earth Syst. Sci., 14, 2847–2865, https://doi.org/10.5194/nhess-14-2847-2014, 2014.
AVI ("Aree Vulnerate Italiane") project, inventory of areas affected by landslides and floods in Italy from 1918 to 2000, available at: http://avi.gndci.cnr.it/, Department of Civil Protection to the National Group for Prevention of Hydrological Hazards (GNDCI) of the National Research Council IRPI ("Istituto Nazionale per la Protezione Idrogeologica"), Italy, 2000.
Berkes, F.: Understanding uncertainty and reducing vulnerability: lessons from resilience thinking, Nat. Hazards, 41, 283–295, 2007.
Büchele, B., Kreibich, H., Kron, A., Thieken, A., Ihringer, J., Oberle, P., Merz, B., and Nestmann, F.: Flood-risk mapping: contributions towards an enhanced assessment of extreme events and associated risks, Nat. Hazards Earth Syst. Sci., 6, 485–503, https://doi.org/10.5194/nhess-6-485-2006, 2006.
Douglas, J., Uslaender, T., Schimak, G., Esteban, J. F., and Denzer, R.: An open distributed architecture for sensor networks for risk management, Sensors, 8, 1755–1773, 2008.
Download
Short summary
In this paper, we propose an experimental system called "READY: Risk, Extreme Events, Adaptation, Defend Yourself". It enables us to provide support to the general public and other safety stakeholders (for example, voluntary associations and civil protection organizations) in the prevention, mitigation and preparedness phase of a flood or landslide risk event. READY offers tremendous value owing to its ability to integrate information coming from several sources, all into one visual framework.
Altmetrics
Final-revised paper
Preprint