Articles | Volume 16, issue 1
https://doi.org/10.5194/nhess-16-85-2016
https://doi.org/10.5194/nhess-16-85-2016
Research article
 | 
18 Jan 2016
Research article |  | 18 Jan 2016

An interactive web-GIS tool for risk analysis: a case study in the Fella River basin, Italy

Z. C. Aye, M. Jaboyedoff, M. H. Derron, C. J. van Westen, H. Y. Hussin, R. L. Ciurean, S. Frigerio, and A. Pasuto

Related authors

Learning risk management of geohazards in practice with free and open-source web-GIS based platform: RISKGIS
Zar Chi Aye, Roya Olyazadeh, Marc-Henri Derron, Michel Jaboyedoff, and Johann Lüthi
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2017-85,https://doi.org/10.5194/nhess-2017-85, 2017
Revised manuscript not accepted
Short summary
The connection between long-term and short-term risk management strategies for flood and landslide hazards: examples from land-use planning and emergency management in four European case studies
K. Prenger-Berninghoff, V. J. Cortes, T. Sprague, Z. C. Aye, S. Greiving, W. Głowacki, and S. Sterlacchini
Nat. Hazards Earth Syst. Sci., 14, 3261–3278, https://doi.org/10.5194/nhess-14-3261-2014,https://doi.org/10.5194/nhess-14-3261-2014, 2014
Short summary

Related subject area

Databases, GIS, Remote Sensing, Early Warning Systems and Monitoring Technologies
Tsunami hazard perception and knowledge of alert: early findings in five municipalities along the French Mediterranean coastlines
Johnny Douvinet, Noé Carles, Pierre Foulquier, and Matthieu Peroche
Nat. Hazards Earth Syst. Sci., 24, 715–735, https://doi.org/10.5194/nhess-24-715-2024,https://doi.org/10.5194/nhess-24-715-2024, 2024
Short summary
Exploiting radar polarimetry for nowcasting thunderstorm hazards using deep learning
Nathalie Rombeek, Jussi Leinonen, and Ulrich Hamann
Nat. Hazards Earth Syst. Sci., 24, 133–144, https://doi.org/10.5194/nhess-24-133-2024,https://doi.org/10.5194/nhess-24-133-2024, 2024
Short summary
Machine-learning-based nowcasting of the Vögelsberg deep-seated landslide: why predicting slow deformation is not so easy
Adriaan L. van Natijne, Thom A. Bogaard, Thomas Zieher, Jan Pfeiffer, and Roderik C. Lindenbergh
Nat. Hazards Earth Syst. Sci., 23, 3723–3745, https://doi.org/10.5194/nhess-23-3723-2023,https://doi.org/10.5194/nhess-23-3723-2023, 2023
Short summary
Fixed photogrammetric systems for natural hazard monitoring with high spatio-temporal resolution
Xabier Blanch, Marta Guinau, Anette Eltner, and Antonio Abellan
Nat. Hazards Earth Syst. Sci., 23, 3285–3303, https://doi.org/10.5194/nhess-23-3285-2023,https://doi.org/10.5194/nhess-23-3285-2023, 2023
Short summary
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

Cited articles

Akbas, S. O., Blahut, J., and Sterlacchini, S.: Critical assessment of existing physical vulnerability estimation approaches for debris flows, in: International Conference on Landslide processes: from geomorphological mapping to dynamic modelling, edited by: Malet, J. P., Remaitre, A., and Bogaard, T., Strasbourg, 6–7 February 2009, 229–233, 2009.
Aleotti, P. and Chowdhury, R.: Landslide hazard assessment: summary review and new perspectives, Bull. Eng. Geol. Environ., 58, 21–44, 1999.
Alexander, D.: Natural hazards on an unquiet earth, in: Unifying Geography, Shared Future, Common Heritage, edited by: Matthews, J. and Herbert, D., Routledge, London, 266–282, 2004.
Aye, Z. C., Jaboyedoff, M., Derron, M.-H., and van Westen, C. J.: Prototype of a web-based participative decision support platform in natural hazards and risk management, ISPRS Int. J. Geo-Inf., 4, 1201–1224, 2015.
Aye, Z. C., Sprague, T., Cortes, V. J., Prenger-Berninghoff, K., Jaboyedoff, M., and Derron, M.-H.: A collaborative (web-GIS) framework based on empirical data collected from three case studies in Europe for risk management of hydro-meteorological hazards, International Journal of Disaster Risk Reduction, 15, 10–23, 2016.
Download
Short summary
This paper presents the development and application of a prototype web-GIS tool for risk analysis, in particular for floods and landslides, based on open-source software and web technologies. The aim is to assist experts (risk managers) in analysing the impacts and consequences of a certain hazard event in a considered region, contributing to open-source and research community in natural hazards and risk assessment. The tool is demonstrated using a regional data set of Fella River basin, Italy.
Altmetrics
Final-revised paper
Preprint