Skip to main content

Investigation of a Flood Event Occurred on Lama Balice, in the Context of Hazard Map Evaluation in Karstic-Ephemeral Streams

  • Conference paper
  • First Online:
Computational Science and Its Applications – ICCSA 2018 (ICCSA 2018)

Abstract

In the context of flood risk assessment and urban territory protection, the proposed research is focused on the definition of flood hazard maps by using high-resolution Digital Terrain Models (DTMs) obtained by a Light Detection And Ranging [LiDAR], remote sensing technique. The hydrologic/hydraulic model was calibrated on a flood event occurred on June 2014 on Lama Balice, ephemeral stream located in Puglia (Southern Italy), using the water levels observed during field campaign. In particular the analysis was performed for the definition of hazard maps with return periods of 30, 200 and 500 years, exploiting a combined scheme of a mono/two dimensional flood propagation approach for the delineation of flooded areas. The conducted research gives a significant contribution for the assessment of techniques of dynamic hazard and risk evaluation, in order to support institutions (like Basin Authorities and Civil Protection agencies) and professionals, in the context of the application of recent European legislation on flood risk protection (Floods Directive 2007/60/EC) and for European programs of scientific research (as Horizon 2020) in ungauged karstic catchment.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. CRED - Centre for Research on the Epidemiology of Disasters – Human cost of natural disaster: a global perspective (2015). http://emdat.be/human_cost_natdis

  2. Reynard, N.S., Prudhomme, C., Crooks, S.M.: The flood characteristics of large U.K. rivers: potential effects of changing climate and land use. Clim. Change 48(2–3), 343–359 (2001)

    Article  Google Scholar 

  3. Bronstert, A., Niehoff, D., Burger, G.: Effects of climate and land-use change on storm runoff generation: present knowledge and modelling capabilities. Hydrol. Process. 16(2), 509–529 (2002)

    Article  Google Scholar 

  4. Brath, A., Montanari, A., Moretti, G.: Assessing the effect on flood frequency of land use change via hydrological simulation (with uncertainty). J. Hydrol. 324(1–4), 141–153 (2006)

    Article  Google Scholar 

  5. Jafarzadegan, K., Merwade, V.: A DEM-based approach for large-scale floodplain mapping in ungauged watersheds. J. Hydrol. 550, 650–662 (2017)

    Article  Google Scholar 

  6. Manfreda, S., Samela, C., Sole, A., Fiorentino, M.: Flood-Prone Areas Assessment Using Linear Binary Classifiers Based on Morphological Indices. Vulnerability, Uncertainty, and Risk, 2002–2011 (2014). https://doi.org/10.1061/9780784413609.201

  7. Jain, S.K., Singh, R.D., Jain, M.K., Lohani, A.K.: Delineation of flood-prone areas using remote sensing techniques. Water Resour. Manag. 19, 333–347 (2005)

    Article  Google Scholar 

  8. Totaro, V., Gioia, A., Novelli, A., Caradonna, G.: The use of geomorphological descriptors and landsat-8 spectral indices data for flood areas evaluation: a case study of Lato river basin. In: Gervasi, O., et al. (eds.) ICCSA 2017. LNCS, vol. 10407, pp. 30–44. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-62401-3_3

    Chapter  Google Scholar 

  9. Van Alphen, J., Martini, F., Loat, R., Slomp, R., Passchier, R.: Flood risk mapping in Europe, experiences and best practices. J. Flood Risk Manag. 2, 285–292 (2009)

    Article  Google Scholar 

  10. De Giorgis, M., Gnecco, G., Gorni, S., Roth, G., Sanguineti, M., Taramasso, A.C.: Classifiers for the detection of flood-prone areas using remote sensed elevation data. J. Hydrol. 470–471, 302–315 (2012)

    Article  Google Scholar 

  11. Gioia, A., Totaro, V., Bonelli, R., Esposito, A.A.M.G., Balacco, G., Iacobellis, V.: Flood susceptibility evaluation on ephemeral streams of Southern Italy: a case study of Lama Balice. In: Gervasi, O., et al. (eds.) ICCSA 2018. LNCS, vol. 10964, pp. 348–362. Springer, Cham (2018)

    Google Scholar 

  12. Biancamaria, S., Boone, A.A., Mognard, N.: Large-scale coupled hydrologic and hydraulic modelling of an Artic river: the Ob River in Siberia. J. Hydrol. 379, 136–150 (2009)

    Article  Google Scholar 

  13. Fiorentino, M., Gioia, A., Iacobellis, V., Manfreda, S.: Regional analysis of runoff thresholds behaviour in Southern Italy based on theoretically derived distributions. Adv. Geosci. 26, 139–144 (2011). ISSN 1680-7340

    Article  Google Scholar 

  14. Leandro, J., Chen, A.S., Djordjevic, S., Savic, D.A.: Comparison of 1D/1D and 1D/2D coupled (sewer/surface) hydraulic models for urban flood simulation. J. Hydraul. Eng. 135(6), 495–504 (2009)

    Article  Google Scholar 

  15. Ghimire, S., Wilkinson, M., Donaldson-Selby, G.: Application of 1D and 2D numerical models for assessing and visualizing effectiveness of natural flood management measures. In: 11th International Conference on Hydroinformatics (2014)

    Google Scholar 

  16. Gioia, A., Iacobellis, V., Manfreda, S., Fiorentino, M.: Influence of infiltration and soil storage capacity on the skewness of the annual maximum flood peaks in a theoretically derived distribution. Hydrol. Earth Syst. Sci. 16, 937–951 (2012)

    Article  Google Scholar 

  17. Gioia, A., Manfreda, S., Iacobellis, V., Fiorentino, M.: Performance of a theoretical model for the description of water balance and runoff dynamics in Southern Italy. J. Hydrol. Eng. 19(6), 1113–1123 (2014)

    Article  Google Scholar 

  18. Jasper, K., Gurtz, J., Lang, H.: Advanced flood forecasting in Alpine watersheds by coupling meteorological observations and forecasts with a distributed hydrological model. J. Hydrol. 267(1–2), 40–52 (2002)

    Article  Google Scholar 

  19. Di Modugno, M., Gioia, A., Gorgoglione, A., Iacobellis, V., La Forgia, G., Piccinni, A.F., Ranieri, E.: Build-up/wash-off monitoring and assessment for sustainable management of first flush in an urban area. Sustainability (Switzerland) 7(5), 5050–5070 (2015)

    Article  Google Scholar 

  20. Fiorentino, M., Gioia, A., Iacobellis, V., Manfreda, S.: Analysis on flood generation processes by means of a continuous simulation model. Adv. Geosci. 7, 231–236 (2006). ISSN 1680-7340

    Article  Google Scholar 

  21. 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 

  22. Beven, K.: Rainfall-Runoff Modelling the Primer, 2nd edn. Wiley-Blackwell, Chichester (2012)

    Book  Google Scholar 

  23. Cantisani, A., Giosa, L., Mancusi, L., Sole, A.: FLORA-2D: a new model to simulate the inundation in areas covered by flexible and rigid vegetation. Int. J. Eng. Innov. Technol. 3, 179–186 (2014)

    Google Scholar 

  24. Gioia, A.: Reservoir routing on double-peak design flood. Water 8, 553 (2016)

    Article  Google Scholar 

  25. Gioia, A., Iacobellis, V., Manfreda, S., Fiorentino, M.: Comparison of different methods describing the peak runoff contributing areas during floods. Hydrol. Process. 31(11), 2041–2049 (2017)

    Article  Google Scholar 

  26. Cobby, D.M., Mason, D.C., Horritt, M.S., Bates, P.D.: Two-dimensional hydraulic flood modelling using a finite-element mesh decomposed according to vegetation and topographic features derived from airborne scanning laser altimetry. Hydrol. Process. 17, 1979–2000 (2003)

    Article  Google Scholar 

  27. Fluet-Chouinard, E., Lehner, B., Rebelo, L.-M.P.F., Hamilton, S.K.: Development of a global inundation map at high spatial resolution from topographic downscaling of coarse-scale remote sensing data. Remote Sens. Environ. 158, 348–361 (2014)

    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(PA), 98–108 (2015)

    Article  Google Scholar 

  29. 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(2), 735–754 (2015)

    Article  Google Scholar 

  30. Bates, P.D., Horritt, M.S., Smith, C.N., Mason, D.C.: Integrating remote sensing observations of flood hydrology and hydraulic modelling. Hydrol. Process. 11, 1777–1795 (1997)

    Article  Google Scholar 

  31. Horritt, M.S., Mason, D.C., Luckman, A.J.: Flood boundary delineation from synthetic aperture radar imagery using a statistical active contour model. Int. J. Remote. Sens. 22(13), 2489–2507 (2001)

    Article  Google Scholar 

  32. Balenzano, A., Satalino, G., Belmonte, A., D’Urso, G., Capodici, F., Iacobellis, V., Gioia, A., Rinaldi, M., Ruggieri, S., Mattia, F.: On the use of multi-temporal series of COSMO-SkyMed data for landcover classification and surface parameter retrieval over agricultural sites. In: Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, Vancouver, Canada, pp. 142–145 (2011)

    Google Scholar 

  33. Mattia, F., Satalino, G., Balenzano, A., D’Urso, G., Capodici, F., Iacobellis, V., Milella, P., Gioia, A., Rinaldi, M., Ruggieri, S., Dini, L.: Time series of COSMO-SkyMed data for landcover classification and surface parameter retrieval over agricultural sites. In: Proceedings of the IEEE 2012 International Geoscience and Remote Sensing Symposium, IGARSS 2012, Munich, Germany (2012)

    Google Scholar 

  34. Balenzano, A., Satalino, G., Iacobellis, V., Gioia, A., Manfreda, S., Rinaldi, M., De Vita, P., Miglietta, F., Toscano, P., Annichiarico, G., Mattia, F.: A ground network for sar-derived soil moisture product calibration, validation and exploitation in southern Italy. In: Proceedings of the IEEE 2014 International Geoscience and Remote Sensing Symposium, IGARSS 2014, Quèbec, Canada (2014)

    Google Scholar 

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

    Google Scholar 

  36. Trombetta, A., Iacobellis, V., Tarantino, E., Gentile, F.: Calibration of the AquaCrop model for winter wheat using MODIS LAI images. Agric. Water Manag. 164(Part 2), 304–316 (2016)

    Article  Google Scholar 

  37. 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(1), 739–757 (2013)

    Article  Google Scholar 

  38. Olang, L.O., Kundu, P., Bauer, T., Fürst, J.: Analysis of spatio-temporal land cover changes for hydrological impact assessment within the Nyando River Basin of Kenya. Environ. Monit. Assess. 179, 389–401 (2011)

    Article  Google Scholar 

  39. Pattison, I., Lane, S.N.: The link between land-use management and fluvial flood risk: a chaotic conception? Prog. Phys. Geogr. 36, 72–92 (2011)

    Article  Google Scholar 

  40. Balacco, G., Figorito, B., Tarantino, E., Gioia, A., Iacobellis, V.: Space-time LAI variability in Northern Puglia (Italy) from SPOT VGT data. Environ. Monit. Assess. 187, 434 (2015)

    Article  Google Scholar 

  41. Caprioli, M., Tarantino, E.: Identification of land cover alterations in the Alta Murgia National Park (Italy) with VHR satellite imagery. Int. J. Sustain. Dev. Plan. 1(3), 261–270 (2006)

    Article  Google Scholar 

  42. Crocetto, N., Tarantino, E.: A class-oriented strategy for features extraction from multidate ASTER imagery. Remote Sens. 1(4), 1171–1189 (2009)

    Article  Google Scholar 

  43. Killinger, D.K.: Lidar (Light Detection and Ranging) Laser Spectroscopy for Sensing Fundamentals, Techniques and Applications, pp. 292–312 (2014)

    Chapter  Google Scholar 

  44. Feldman, A.D.: Hydrologic Modeling System HEC-HMS. US Army Corps of Engineers, Institute for Water Resources, Hydrologic Engineering Center, USA (2000)

    Google Scholar 

  45. SCS (USDA Soil Conservation Service): National Engineering Handbook, Section 4: Hydrology. U.S. Department of Agriculture, Washington, DC, USA (1972)

    Google Scholar 

  46. Claps, P., Copertino, V.A., Ermini, R., Fiorentino, M.: Analisi regionale dei massimi annuali delle precipitazioni di diversa durata. In: Valutazione delle piene in Puglia, CNR-GNDCI, Potenza (1992)

    Google Scholar 

  47. Regione Puglia: Progetto Acla 2: Studio per la caratterizzazione agronomica della Regione Puglia e la classificazione del territorio in funzione della potenzialità produttiva. http://www.cartografico.puglia.it. Accessed 07 Mar 2018

  48. EEA: CORINE Land Cover Project, published by Commission of the European Communities (1995)

    Google Scholar 

  49. USDA-SCS: National Engineering Handbook, Sec, 4 - Hydrology, Washington, D.C. (1985)

    Google Scholar 

  50. USACE, Hydrologic Engineering Center: River Analysis System HEC-RAS. Hydraulic Reference Manual version 3.0, January 2001. www.usace.army.mil

  51. Aquaveo: Water modeling solutions. http://www.aquaveo.com/. Accessed 02 Mar 2013

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Vincenzo Totaro .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG, part of Springer Nature

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Iacobellis, V. et al. (2018). Investigation of a Flood Event Occurred on Lama Balice, in the Context of Hazard Map Evaluation in Karstic-Ephemeral Streams. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2018. ICCSA 2018. Lecture Notes in Computer Science(), vol 10964. Springer, Cham. https://doi.org/10.1007/978-3-319-95174-4_26

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-95174-4_26

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95173-7

  • Online ISBN: 978-3-319-95174-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics