Abstract
A Decision Support tool, relying on resilience assessment approach has been developed to reinforce decision makers for climate related emergency management operations. The method proposes the calculation of an Operational Resilience Index (ORI) at city building/block scale. The ORI tool is developed based on a previous innovative research line, which was allowing computing flood resilience index for mid-term urban planning, adapted here to specificities of emergency management operations.
The adaptations in the method for ORI tool, allows to use the existing concept of specific resilience, where the anthropized system is characterized in categories of urban functions and urban services. Dependencies between urban functions and services according to the impact of a given hazard is directly parameterized through a web-based GUI. The adapted new method takes into consideration for the ORI computation: multi-hazard, integration of critical infrastructures as well as social events occurrences in the adjustment parameters of the ORI computation. The requirements for the tool uses are: (i) a training of the end-user and (ii) a specific formatting for the input data. The ORI tool has been implemented and tested by end-users in the framework of a H2020 Research and Innovation project- ANYWHERE- in web-service based Pan-European multi hazard platforms DSS. Tests performed presented here, are those related to flood hazard initiated by Mediterranean intense rainfall events, which were performed on the 182 km2 Biguglia catchment in Corsica island (France). A six hours long rainfall runoff event cumulating 165 mm has been simulated over a 20,000,000 cells grid using a full 2D SWE based modeling approach on a HPC structure, to generate 5 m resolution flood hazard maps, used as inputs for the ORI computation. The other inputs of the ORI method are OGC standards compliant format GIS information: building, networks (electricity, transport, communication, water supply) local critical infrastructure and social events, preformatted for the ORI computation process.
This paper details respectively: ORI tool method, ORI tool interface and API development for integration within the ANYWHERE Pan-European platform and an application illustration through flood hazard map computation scenario and method. Then, a summary of the user guide is presented, explaining the needs and prerequisites for end-users to use the tool and understand the outputs. Lastly, the main advantages of this ORI computation tools and the principal limits raised by end-users (here, SIS2B fire brigade command and control center) for improvements are exposed and analyzed.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Vis M, Klijn F, De Bruijn KM, Van Buuren M (2003) Resilience strategies for flood risk management in the Netherlands. Int J River Basin Manag 1(1):33–40
Tiernan A, Drennan L, Nalau J, Onyango E, Morrissey L, Mackey B (2019) A review of themes in disaster resilience literature and international practice since 2012. Pol Des Pract 2(1):53–74
Carpenter S, Walker B, Andries JM, Abel N (2001) From metaphor to measurement: resilience of what to what? Ecosystems 4(8):765–781
Folke C, Carpentier S, Walker B, Scheffer M, Chapin T, Rockstrom J (2010) Resilience thinking: integrating resilience, adaptability and transformability. Ecol Soc 15(4):20 http://www.ecologyandsociety.org/vol15/iss4/art20/
Batica J (2015) Methodology for flood resilience asessment in urban environments and mitigation strategy development (Doctoral dissertation, Université Nice Sophia Antipolis)
Ler LG (2018) Résilience et smart water management: stratégies de mise en œuvre pour des villes intéligentes (Doctoral dissertation, Université Côte d’Azur)
Wallace D, Wallace R (2008) Urban systems during disasters: factors for resilience. Ecology and Society 13(1):18
McPhearson T, Andersson E, Elmqvist T, Frantzeskaki N (2015) Resilience of and through urban ecosystem services. Ecosyst Serv 12:152–156
Batica J, Gourbesville P (2016) Resilience in flood risk managment—a new communication tool. Proceedia Eng 154:811–817
BRGM (2010) Etude des interactions entre les eaux souterraines, les eaux de surface et l’étang de Biguglia—Rapport final
Garel E, Huneau F, Jaunat J, Celle-Jeanton H, Santoni S, Garrido M, Pasqualini V (2016) Groundwater role on the ecological preservation of the Biguglia lagoon (Corsica, France). In: 35th international geological congress, Cape Town, South Africa
Delestre O (2010) Simulation du ruissellement d’eau de pluie sur des surfaces agricoles (Doctoral dissertation, Université d’Orléans)
Delestre O, Cordier S, Darboux F, Du M, James F, Laguerre C, Lucas C, Planchon O (2014) FullSWOF: a software for overland flow simulation. In: Gourbesville P, Cunge J, Caignaert G (eds) Advances in hydroinformatics. Springer, Singapore, pp 221–231
Acknowledgements
This project has received funding from the European Union’s Horizon 2020 research and innovation program (H2020-DRS-1-2015) under the grant agreement no. 700099. Photogrammetric and photo-interpreted dataset used for this study have been kindly provided by Nice Côte d’Azur Metropolis for research purpose. This work was granted access to the HPC and vizualization resources of the “Centre de Calcul Interactif” hosted by University Nice Sophia Antipolis.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Abily, M. et al. (2020). Operational Resilience Index Computation Tool as a Decision Support System Integrated in Eu Risks Management Platforms—Test on Biguglia Catchment, a Mediterranean Intense Precipitations Regime Prone Area. In: Gourbesville, P., Caignaert, G. (eds) Advances in Hydroinformatics. Springer Water. Springer, Singapore. https://doi.org/10.1007/978-981-15-5436-0_6
Download citation
DOI: https://doi.org/10.1007/978-981-15-5436-0_6
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-5435-3
Online ISBN: 978-981-15-5436-0
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)