A Systemic Approach to Evaluate the Flood Vulnerability for an Urban Study Case in Southern Italy

DOI: 10.4236/jwarp.2014.64037   PDF   HTML   XML   4,993 Downloads   6,564 Views   Citations


Currently, the urban flooding is one of the most concerning problems in hydraulic protection, both for the enormous number of people and the different elements (buildings, roads, vehicles, and so on) potentially exposed to risk, as well as the complexity of the territory at issue. At the practical level, vulnerability indicators are often predictably too narrow in their coverage of aspects of vulnerability. An important need remains to produce more conceptually informed vulnerability indicators or parameters and more satisfactory operational tools to assess weaknesses and resilience in coping with natural risks. In this paper, we present an innovative methodology that adopts a systemic approach to evaluate the vulnerability due to a flood scenario. The operative efficiency of the proposed GIS tool is validated in pilot application site, i.e. an urban area in Puglia Region, Southern Italy, on the basis of, studies surveys and damages carried out from a recent flood event occurred in the area. The model evaluates the direct structural damages and explores the potential operating conditions of the road network in case of the flood event. The resulting vulnerability assessment tool can guide evaluators towards a comprehensive understanding of strengths and fragilities of a territory and community where a flood occurs embedding and integrating as much as possible the multifaceted and articulated nature of an urban system.

Share and Cite:

Albano, R. , Sole, A. , Sdao, F. , Giosa, L. , Cantisani, A. and Pascale, S. (2014) A Systemic Approach to Evaluate the Flood Vulnerability for an Urban Study Case in Southern Italy. Journal of Water Resource and Protection, 6, 351-362. doi: 10.4236/jwarp.2014.64037.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] Rafiq, L. and Blasch, T. (2012) Disaster Risk and Vulnerability in Pakistan at a District Level. Natural Hazards and Risk, 3, 311-323. http://dx.doi.org/10.1080/19475705.2011.626083
[2] Douben, K.J. (2006) Characteristics of River Floods and Flooding: A Global Overview, 1985-2003. Irrigation and Drainage, 55, 9-21. http://dx.doi.org/10.1002/ird.239
[3] Jonkman, S.N. (2005) Global Perspectives of Loss of Human Life Caused by Floods. Natural Hazards, 34, 151-175.
[4] Jonkman, S.N., Vrijling, J.K. and Vrouwenvelder, W.M. (2008) Methods for the Estimation of Loss of Life Due to Floods: A Literature Review and a Proposal for a New Method. Natural Hazards, 46, 353-389.
[5] United Nations World Water Assessment Programme (2009) Global Trends in Water-Related Disasters an Insight for Policymakers.
[6] Ezell, B.C., Farr, J.V. and Wiese, I. (2000) Infrastructure Risk Analysis Model. Journal of Infrastructure System, 6, 114-117. http://dx.doi.org/10.1061/(ASCE)1076-0342(2000)6:3(114)
[7] Pascale, S., Sdao, F. and Sole, A. (2010) A Model for Assessing the Systemic Vulnerability in Landslide Prone Areas. Natural Hazards and Earth System Sciences, 10, 1575-1590. http://dx.doi.org/10.5194/nhess-10-1575-2010
[8] Sdao, F., Albano, R., Sivertun, A., Sole, A., Pascale, F. and Giosa, L. (2013) Chapter 19: Model of Systemic Vulnerability Assessment in Urbanized Areas Exposed to Combined Risk of Landslide and Flood. In: Borruso, G., Bertazzon, S., Favretto, A., Murgante, B. and Torre, C.M., Eds., Geographic Information Analysis for Sustainable Development and Economic Planning: New Technologies, IGI Global, 274-294. http://dx.doi.org/10.4018/978-1-4666-1924-1.ch019
[9] Tamura, H., Yamamoto, K., Tomiyama, S. and Hatono, I. (2000) Modeling and Analysis of Decision Making Problem for Mitigating Natural Disaster Risks. European Journal of Operational Research, 122, 461-468.
[10] Cantisani, A., Cafarelli, R., Giosa, L., Mileti, C., Sole, A. and Albano, R. (2012) An Easy Hydraulic Monitoring System to Support the Road Management. Le Colloque International des Utilisateurs de SIG.
[11] Menoni, S., Molinari, D., Parker, D., Ballio, F. and Tapsell, S. (2012) Assessing Multifaceted Vulnerability and Resilience in Order to Design Risk-Mitigation Strategies. Natural Hazards, 64, 2057-2082.
[12] Department of Water Resources Division of Flood Management (2008) Flood Rapid Assessment Model (F-RAM) Development 2008, State of California, The Resources Agency.
[13] Sharif, H.O., Hossain, M., Terrace, J. and Bin-Shafique, S. (2012) Person-Place-Time Analysis of Vehicle Fatalities Caused by Flash Floods in Texas. Geomatics, Natural Hazards and Risk, 3, 311-323.
[14] Gruntfest, E. (2000) Flash Floods in the United States. In: Pielke, J.R. & Pielke, S.R., Eds., Storms, London, Routledge, 192-206.
[15] Shu, C., Xia, J., Falconer, R.A. and Lin, B. (2011) Incipient Velocity for Partially Submerged Vehicles in Floodwaters, Journal of Hydraulic Research, 49, 709-717. http://dx.doi.org/10.1080/00221686.2011.616318
[16] Xia, J., Falconer, R.A., Lin, B. and Tan, G. (2011) Numerical Assessment of Flood Hazard Risk to People and Vehicles in Flash Flood. Environmental Modelling & Software, 26, 987-998.
[17] Teo, F.Y., Xia, J., Falconer, R.A. and Lin, B. (2012) Experimental Study on the Interaction between Vehicles and Floodplain Flows. International Journal River Basin Management, 10, 149-160.
[18] Setola, R., De Procellinis, S. and Sforna, M. (2009) Critical Infrastructure Dependency Assessment Using the Input-Output Inoperability Model. International Journal of Critical Infrastructure Protection, 2, 170-178.
[19] CNR IRPI () AVI Project: Inventory of Areas Affected by Landslides and Floods in Italy from 1918 to 2000.
[20] Sole, A., Mancusi, L., Giosa, L., Cantisani, A., Grippa, A., Albano, R. and Varasano, A. (2012) Effetti Della Vegetazione Nella Valutazione Delle Aree a Rischio Inondazione. XXXIII Convegno Nazionale di Idraulica e Costruzioni Idrauliche, Brescia, 10-15 September 2012.
[21] Claps, P. and Fiorentino, M. (2005) Valutazione Delle Piene in Italia, Rapporto di Sintesi per la Regione Basilicata (Bacini del Versante Ionico), GNDCI-CNR. Dipartimento di Ingegneria e Fisica dell’Ambiente, Università della Basilicata, Potenza.

comments powered by Disqus

Copyright © 2020 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.