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Flood Hazard Assessment of the Fortore River Downstream the Occhito Dam, in Southern Italy

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Computational Science and Its Applications – ICCSA 2017 (ICCSA 2017)

Abstract

In recent decades the effects generated by human activity that have led to the reduction of the natural water retention capacity of the soil and those generated by climatic factors rapidly changing, have exacerbated the hydrogeological instability and amplified the national territory vulnerability. Despite the flood risk in Italy is a topic of great interest, there are several aspects, especially in the management of flood events, that require further investigation; examples are floods caused by dam discharge. In this paper the distribution of hazard areas in downstream of Occhito Dam, has been carried out. Several hazard scenarios were considered related to only dam discharge or relating to the simultaneous presence of the dam contribution and contributions from river basins downstream of the Occhito dam. The results, validated using flooding photo, are presented and discussed, providing flow-rate in order to predict potential floods.

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References

  1. Mo, C.X., Feng, J., Sun, G.K., Zhang, C., Ma, R.Y., Wu, X.R.: Study on flood control risk management for reservoir earth dam. In: 2009 1st International Conference on Information Science and Engineering, ICISE, Nanjing, China, 26–28 December 2009. IEEE (2009)

    Google Scholar 

  2. Ahmad, F., Yahaya, A.S., Ali, M.M., Hussain, W.N.A.M.: Environmental risk assessment on hill site development in Penang, Malaysia: recommendations on management system. EJSR 40(3), 318–340 (2010)

    Google Scholar 

  3. Koutroulis, A.G., Tsanis, I.K.: A method for estimating flash flood peak discharge in a poorly gauged basin: Case study for the 13–14 January 1994 flood, Giofiros basin, Crete, Greece. J. Hydrol. 385, 150–164 (2010)

    Article  Google Scholar 

  4. Baker, M.E.: Dodging a bullet: Lily Lake Dam and the 2013 Colorado flood. In: Association of State Dam Safety Officials Annual Conference 2014, Dam Safety 2014, San Diego, California – USA, pp. 512–522. Curran Associates, New York (2014)

    Google Scholar 

  5. Manfreda, S., Nardi, F., Samela, C., Grimaldi, S., Taramasso, A.C., Roth, G., Sole, A.: Investigation on the use of geomorphic approaches for the delineation of flood prone areas. J. Hydrol. 517(863–876), 1694 (2014)

    Google Scholar 

  6. Sharif, H.O., Al-Juaidi, F.H., Al-Othman, A., Al-Dousary, I., Fadda, E., Jamal-Uddeen, S., Elhassan, A.: Flood hazards in an urbanizing watershed in Riyadh, Saudi Arabia. Geomat. Nat. Hazard Risk 7(2), 702–720 (2016)

    Article  Google Scholar 

  7. Novelli, A., Tarantino, E., Caradonna, G., Apollonio, C., Balacco, G., Piccinni, A.F.: Improving the ANN classification accuracy of landsat data through spectral indices and linear transformations (PCA and TCT) aimed at LU/LC monitoring of a River Basin. In: Gervasi, O., Murgante, B., Misra, S., Rocha, A.M.A.C., Torre, C.M., Taniar, D., Apduhan, B.O., Stankova, E., Wang, S. (eds.) 16th International Conference on Computational Science and Its Applications, Beijing, China, 4–7 July 2016 (2016)

    Google Scholar 

  8. Tarantino, E., Novelli, A., Laterza, M., Gioia, A.: Testing high spatial resolution WorldView-2 imagery for retrieving the leaf area index. In: Proceedings SPIE 9535, Proceedings of Third International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2015), p. 95351N (2015)

    Google Scholar 

  9. Skakun, S., Kussul, N., Shelestov, A., Kussul, O.: Flood hazard and flood risk assessment using a time series of satellite images: a case study in Namibia. Risk Anal. 34(8), 1521–1537 (2014)

    Article  Google Scholar 

  10. Nardi, F., Annis, A., Biscarini, C.: On the impact of urbanization on flood hydrology of small ungauged basins: the case study of the Tiber river tributary network within the city of Rome. J. Flood Risk Manage. (2015). doi:10.1111/jfr3.12186

  11. Apollonio, C., Balacco, G., Novelli, A., Tarantino, E., Piccinni, A.F.: Land use change impact on flooding areas: the case study of Cervaro Basin (Italy). Sustainability 8(10), 996 (2016)

    Article  Google Scholar 

  12. Tarantino, E., Novelli, A., Aquilino, M., Figorito, B., Fratino, U.: Comparing the MLC and JavaNNS approaches in classifying multitemporal LANDSAT satellite imagery over an ephemeral river area. Int. J. Agric. Environ. Inf. Syst. 6, 83–102 (2015)

    Article  Google Scholar 

  13. IPCC: Managing the risks of extreme events and disasters to advance climate change adaptation. A special report of working groups I and II of the Intergovernmental Panel on Climate Change, pp. 1–594. Cambridge University Press, Cambridge, UK (2012). https://www.ipcc.ch/pdf/special-reports/srex/SREX_Full_Report.pdf

  14. Lawrence, J., Quade, D., Becker, J.: Integrating the effects of flood experience on risk perception with responses to changing climate risk. Nat. Hazards 74, 1773–1794 (2014)

    Article  Google Scholar 

  15. Chen, X., Tian, C., Meng, X., Xu, Q., Cui, G., Zhang, Q., Xiang, L.: Analyzing the effect of urbanization on flood characteristics at catchment levels. Proc. IAHS 370, 33–38 (2015)

    Article  Google Scholar 

  16. Giordano, R., D’Agostino, D., Apollonio, C., Scardigno, A., Pagano, A., Portoghese, I., Lamaddalena, N., Piccinni, A.F., Vurro, M.: Evaluating acceptability of groundwater protection measures under different agricultural policies. Agric. Water Manage. 147, 54–66 (2015)

    Article  Google Scholar 

  17. Portoghese, I., D’Agostino, D., Giordano, R., Scardigno, A., Apollonio, C., Vurro, M.: An integrated modelling tool to evaluate the acceptability of irrigation constraint measures for groundwater protection. Environ. Model Softw. 46, 90–103 (2013)

    Article  Google Scholar 

  18. Giordano, R., D’Agostino, D., Apollonio, C., Lamaddalena, N., Vurro, M.: Bayesian belief network to support conflict analysis for groundwater protection: the case of the Apulia region. J. Environ. Manage. 115, 136–146 (2013)

    Article  Google Scholar 

  19. Winsemius, H.C., Van Beek, L.P.H., Jongman, B., Ward, P.J., Bouwman, A.: A framework for global river flood risk assessments. Hydrol. Earth Syst. Sci. 17, 1871–1892 (2013)

    Article  Google Scholar 

  20. Flood Directive 2007/60/EC of the European Parliament and of the Council of 23 October 2007 on the assessment and management of flood risks. http://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32007L0060

  21. Directive of the President of the Council of Ministers: Indirizzi operativi per la gestione organizzativa e funzionale del sistema di allertamento nazionale, statale e regionale per il rischio idrogeologico e idraulico ai fini di protezione civile. Official Journal of 11 Marzo 2004 n. 59, 1–17, (in Italian). http://www.protezionecivile.gov.it/jcms/it/view_prov.wp?contentId=LEG21144

  22. Granata, F., Gargano, R., de Marinis, G.: Support vector regression for rainfall-runoff modeling in urban drainage: a comparison with the EPA’s storm water management model. Water 8(3), 69 (2016)

    Article  Google Scholar 

  23. Zhang, Y., Zhao, Y., Wang, Q., Wang, J., Li, H., Zhai, J., Zhu, Y., Li, J.: Impact of land use on frequency of floods in Yongding River Basin, China. Water 8, 401 (2016)

    Article  Google Scholar 

  24. Manfreda, S., Samela, C., Gioia, A., Consoli, G.G., Iacobellis, V., Giuzio, L., Cantisani, A., Sole, A.: Flood-prone areas assessment using linear binary classifiers based on flood maps obtained from 1D and 2D hydraulic models. Nat. Hazards 79, 735–754 (2015)

    Article  Google Scholar 

  25. Nardi, F., Vivoni, E.R., Grimaldi, S.: Investigating a floodplain scaling relation using a hydrogeomorphic delineation method. Water Resour. Res. 42, W09409 (2006)

    Article  Google Scholar 

  26. Kim, J., Kuwahara, Y., Kumar, M.: A DEM-based evaluation of potential flood risk to enhance decision support system for safe evacuation. Nat. Hazards 59(3), 1561–1572 (2011)

    Article  Google Scholar 

  27. Grimaldi, S., Petroselli, A., Arcangeletti, E., Nardi, F.: Flood mapping in ungauged basins using fully continuous hydrologic–hydraulic modeling. J. Hydrol. 487, 39–47 (2013)

    Article  Google Scholar 

  28. Iacobellis, V., Castorani, A., Di Santo, A.R., Gioia, A.: Rationale for flood prediction in karst endorheic areas. J. Arid Environ. 112(A), 98–108 (2015)

    Article  Google Scholar 

  29. Horritt, M.S., Di Baldassarre, G., Bates, P.D., Brath, A.: Comparing the performance of a 2-D finite element and a 2-D finite volume model of floodplain inundation using airborne SAR imagery. Hydrol. Process. 21, 2745–2759 (2007)

    Article  Google Scholar 

  30. French, J.R.: Airborne LiDAR in support of geomorphological and hydraulic modelling. Earth Surf. Proc. Land. 28, 321–335 (2003)

    Article  Google Scholar 

  31. Nardi, F., Grimaldi, S., Santini, M., Petroselli, A., Ubertini, L.: Hydrogeomorphic properties of simulated drainage patterns using digital elevation models: the flat area issue. Hydrol. Sci. J. 53, 1–18 (2008)

    Article  Google Scholar 

  32. Frappart, F., Seyler, F., Martinez, J.M., Leόn, J.G., Cazenave, A.: Floodplain water storage in the Negro River basin estimated from microwave remote sensing of inundation area and water levels. Remote Sens. Environ. 99(4), 387–399 (2005)

    Article  Google Scholar 

  33. Domeneghetti, A., Tarpanelli, A., Brocca, L., Barbetta, S., Moramarco, T., Castellarin, A., Brath, A.: The use of remote sensing-derived water surface data for hydraulic model calibration. Remote Sens. Environ. 149, 130–141 (2014)

    Article  Google Scholar 

  34. Iacobellis, V., Gioia, A., Milella, P., Satalino, G., Balenzano, A., Mattia, F.: Inter-comparison of hydrological model simulations with time series of SAR-derived soil moisture maps. Eur. J. Remote Sens. 46, 739–757 (2013)

    Article  Google Scholar 

  35. Cobby, D.M., Mason, D.C., Davenport, I.J.: Image processing of airborne scanning laser altimetry data for improved river flood modeling. ISPRS J. Photogrammetry Remote Sens. 56(2), 121–138 (2001)

    Article  Google Scholar 

  36. Di Baldassarre, G., Schumann, G., Bates, P.D., Freer, J.E., Beven, K.J.: Flood-plain mapping: a critical discussion of deterministic and probabilistic approaches. Hydrol. Sci. J. 55(3), 364–376 (2010)

    Article  Google Scholar 

  37. Measures, R.M.: Laser Remote Sensing: Fundamentals and Applications. Krieger Publishing, Melbourne (1991)

    Google Scholar 

  38. Lillycrop, W.J., Irisch, J.L., Parson, L.E.: SHOALS system: three years of operation with airborne lidar bathymetry - experiences, capability and technology advancements. Sea Technol. 38, 17–25 (1997)

    Google Scholar 

  39. Gomes Pereira, L.M., Wicherson, R.J.: Suitability of laser data for deriving geographical information. A case study in the context of management of fluvial zones. ISPRS 54, 105–114 (1999)

    Article  Google Scholar 

  40. Merz, B., Hall, J., Disse, M., Schumann, A.: Fluvial flood risk management in a changing world. Nat. Hazards Earth Syst. Sci. 10, 509–527 (2010)

    Article  Google Scholar 

  41. Bates, P.D.: Remote sensing and flood inundation modelling. Hydrol. Process. 18, 2593–2597 (2004)

    Article  Google Scholar 

  42. Bates, P.D., Horritt, M.S., Aronica, G., Beven, K.: Bayesian updating of flood inundation likelihoods conditioned on flood extent data. Hydrol. Process. 18, 3347–3370 (2004)

    Article  Google Scholar 

  43. Montanari, A.: What do we mean by uncertainty? The need for a consistent wording about uncertainty assessment in hydrology. Hydrol. Process. 21, 841–845 (2006)

    Article  Google Scholar 

  44. O’Brien, J.: FLO-2D Users Manual. FLO-2D Inc., Nutrioso (2001)

    Google Scholar 

  45. Giordano, R., Milella, P., Portoghese, I., Vurro, M., Apollonio, C., D’Agostino, D., Lamaddalena, N., Scardigno, A., Piccinni, A.: An innovative monitoring system for sustainable management of groundwater resources: objectives, stakeholder acceptability and implementation strategy. In: Proceedings of Environmental Energy and Structural Monitoring Systems (EESMS), IEEE Workshop, Taranto, Italy, pp. 32–37 (2010)

    Google Scholar 

  46. Piccinni, A.F., Iacobellis, V., Laricchia, V., Apollonio, C., Gigante, V., Gioia, A.: Piano di laminazione della diga di Occhito sul fiume Fortore – Final report (2009)

    Google Scholar 

  47. Autorità di Bacino dei Fiumi Trigno, Biferno e Minori, Saccione e Fortore, Piano Stralcio per l’Assetto Idrogeologico del Bacino Interregionale del fiume Fortore - Relazione generale (2005). http://adbpcn.regione.molise.it/autorita_old/pdf/rg/fortore.pdf

  48. Ward, A.D., Elliot, W.J.: Environmental Hydrology. CRC Press and LLC, Boca Raton and Florida (1995)

    Google Scholar 

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Acknowledgments

The authors are grateful to the Regione Puglia – Settore Protezione Civile for funding this research.

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Correspondence to Ciro Apollonio .

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Apollonio, C., Balacco, G., Gioia, A., Iacobellis, V., Piccinni, A.F. (2017). Flood Hazard Assessment of the Fortore River Downstream the Occhito Dam, in Southern Italy. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2017. ICCSA 2017. Lecture Notes in Computer Science(), vol 10405. Springer, Cham. https://doi.org/10.1007/978-3-319-62395-5_15

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  • DOI: https://doi.org/10.1007/978-3-319-62395-5_15

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