Notes on the Performances of Morphological Descriptors for the Evaluation of Flood Susceptibility in Apulian Ephemeral Streams | SpringerLink
Skip to main content

Notes on the Performances of Morphological Descriptors for the Evaluation of Flood Susceptibility in Apulian Ephemeral Streams

  • Conference paper
  • First Online:
Computational Science and Its Applications – ICCSA 2021 (ICCSA 2021)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12955))

Included in the following conference series:

  • 1428 Accesses

Abstract

Different tools and models are nowadays available for the identification of flood-prone areas. The application of these approaches is strongly influenced by the availability of site-specific hydrological information. As an example, a combined scheme of hydrological and hydraulic models for the definition of flood events is reliable when there are lots of hydrological and hydraulic information, which makes it difficult to be exploited in ungauged catchment. In this context, DTM-based geomorphological methods are able to provide a rapid identification of a flood susceptibility where the availability of data directly observed in situ is limited. In this study we investigated ability and performances of two morphological descriptors in defining flood exposure with respect to accuracy of morphological information in the context of ephemeral streams located in Puglia region (Southern Italy). Results showed an influence of data resolution on descriptors performances, providing an additional contribution to the investigations carried out in similar areas during last years.

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

Access this chapter

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
JPY 3498
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
JPY 13727
Price includes VAT (Japan)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
JPY 17159
Price includes VAT (Japan)
  • 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

Similar content being viewed by others

References

  1. Iacobellis, V., et al.: 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. (eds.) ICCSA 2018. LNCS, vol. 10964, pp. 317–333. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-95174-4_26

    Chapter  Google Scholar 

  2. Morita, M., Yamaguchi, H.: Quantification of increased flood risk caused by global climate change for urban river management planning. In: 7th NOVATECH, Conference on Sustainable Techniques and Strategies for Urban Water Management, Lyon, France (2010)

    Google Scholar 

  3. Kazama, S., Sato, A., Kawagoe, S.: Evaluating the cost of flood damage based on changes in extreme rainfall in Japan. Sustain. Sci. 4(1), 61–69 (2009)

    Article  Google Scholar 

  4. Zhou, Q., Mikkelsen, P.S., Halsnæs, K., Arnbjerg-Nielsen, K.: Framework for economic pluvial flood risk assessment considering climate change effects and adaptation benefits. J. Hydrol. 414–415, 539–549 (2012)

    Article  Google Scholar 

  5. Kundzewicz, Z.W., et al.: Flood risk and climate change: global and regional perspectives. Hydrol. Sci. J. 59(1), 1–28 (2014). https://doi.org/10.1080/02626667.2013.857411

    Article  Google Scholar 

  6. Sangiorgio, V., Fiorito, F., Santamouris, M.: Development of a holistic urban heat island evaluation methodology. Sci. Rep. 10(1), 1–13 (2020). https://doi.org/10.1038/s41598-020-75018-4

    Article  Google Scholar 

  7. Sangiorgio, V., Uva, G., Adam, J.M.: Integrated seismic vulnerability assessment of historical masonry churches including architectural and artistic assets based on macro-element approach. Int. J. Arch. Heritage (2020). https://doi.org/10.1080/15583058.2019.1709916

    Article  Google Scholar 

  8. Fidelibus, M.D., Balacco, G., Gioia, A., Iacobellis, V., Spilotro, G.: Mass transport triggered by heavy rainfall: the role of endorheic basins and epikarst in a regional karst aquifer. Hydrol. Process. (2017). https://doi.org/10.1002/hyp.11037

    Article  Google Scholar 

  9. Balacco, G.: The interrill erosion for a sandy loam soil. Int. J. Sediment Res. (2013). https://doi.org/10.1016/S1001-6279(13)60043-8

    Article  Google Scholar 

  10. Montanari, A., et al.: “Panta Rhei—everything flows”: change in hydrology and society—the IAHS Scientific Decade 2013–2022. Hydrol. Sci. J. 58(6), 1256–1275 (2013). https://doi.org/10.1080/02626667.2013.809088

    Article  Google Scholar 

  11. Morse, C.C., Huryn, A.D., Cronan, C.: Impervious surface areas as a predictor of the effects of urbanization on stream insect communities in Maine, USA. Environ. Monit. Assess. 89, 95–127 (2003)

    Article  Google Scholar 

  12. Carlson, T.N., Arthur, S.T.: The impact of land use — land cover changes due to urbanization on surface microclimate and hydrology: a satellite perspective. Global Planet. Change 25(1), 49–65 (2000)

    Article  Google Scholar 

  13. Mattia, F., et al.: 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, 22–27 July, 2012, IEEE Publications (USA, 2012), pp. 6511–6514, ISBN:978-1-4673-1159-5.

    Google Scholar 

  14. Jain, S.K., Singh, R.D., Jain, M.K., Lohani, A.K.: Delineation of flood-prone areas using remote sensing techniques. Water Resour. Manage. 19, 333 (2005). https://doi.org/10.1007/s11269-005-3281-5

    Article  Google Scholar 

  15. 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 

  16. Manfreda, S., et al.: 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). https://doi.org/10.1007/s11069-015-1869-5

    Article  Google Scholar 

  17. Balenzano, A., et al.: 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 July 13–18 (2014)

    Google Scholar 

  18. Beven, K.: Rainfall-Runoff Modelling The Primer, 2nd edn. Wiley-Blackwell, Chichester, UK (2012)

    Book  Google Scholar 

  19. 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). https://doi.org/10.1061/(ASCE)HE.1943-5584.0000879

    Article  Google Scholar 

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

    Article  Google Scholar 

  21. Johnston, P.R., Pilgrim, D.H.: Parameter optimization for watershed models. Water Resour. Res. 12(3), 477–486 (1976)

    Article  Google Scholar 

  22. Williams, B.J., Yeh, W.W.G.: Parameter estimation in rainfall-runoff models. J. Hydrol. 63, 373–393 (1983)

    Article  Google Scholar 

  23. Jiang, Y., Liu, C., Li, X., Liu, L., Wang, H.: Rainfall-runoff modeling, parameter estimation and sensitivity analysis in a semiarid catchment. Environ. Model. Softw. 67, 72–88 (2015)

    Article  Google Scholar 

  24. Grimaldi, S., Nardi, F., Piscopia, R., Petroselli, A., Apollonio, C.: Continuous hydrologic modelling for design simulation in small and ungauged basins: a step forward and some tests for its practical use. J. Hydrol. 595, 125664 (2021). ISSN 0022-1694, https://doi.org/10.1016/j.jhydrol.2020.125664.

  25. Annis, A., et al.: UAV-DEMs for small-scale flood hazard mapping. Water 12, 1717 (2020). https://doi.org/10.3390/w12061717

    Article  Google Scholar 

  26. Manfreda, S., Di Leo, M., Sole, A.: Detection of flood prone areas using digital elevation models. J. Hydrol. Eng. 16(10), 781–790 (2011). https://doi.org/10.1061/(ASCE)HE.1943-5584.0000367

    Article  Google Scholar 

  27. Samela, C., Manfreda, S., Paola, F.D., Giugni, M., Sole, A., Fiorentino, M.: DEM-based approaches for the delineation of flood-prone areas in an ungauged basin in Africa. J. Hydrol. Eng. (2015). https://doi.org/10.1061/(ASCE)HE.1943-5584

  28. Samela, C., Troy, T.J., Manfreda, S.: Flood hazard mapping over large regions. Adv. Water Resour. (2017)

    Google Scholar 

  29. Slatton, K.C., Carter, W.E., Shrestha, R.L., Dietrich, W.E.: Airborne laser swath mapping: achieving the resolution and accuracy required for geosurficial research. Geophys. Res. Lett. 34, L23S10 (2007). https://doi.org/10.1029/2007GL031939

  30. Dodov, B.A., Foufoula-Georgiou, E.: Floodplain morphometry extraction from a high-resolution digital elevation model: a simple algorithm for regional analysis studies. Geosci. Remote Sens. Lett. IEEE 3(3), 410–413 (2006). https://doi.org/10.1109/LGRS.2006.874161

  31. De Risi, R., Jalayer, F., De Paola, F., Giugni, M.: Probabilistic delineation of flood-prone areas based on a digital elevation model and the extent of historical flooding: the case of Ouagadougou. Boletín Geol. Minero 125, 329–340 (2014)

    Google Scholar 

  32. Nardi, F., Vivoni, E.R., Grimaldi, S.: Investigating a floodplain scaling relation using a hydrogeomorphic delineation method. Water Resour. Res. 42(9), W09409 (2006)

    Google Scholar 

  33. 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. 334–348. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-95174-4_27

    Chapter  Google Scholar 

  34. Natural Park of Lama Balice: https://www.parcolamabalice.it/. Accessed 5 May 2021

  35. Mossa, M.: The floods in Bari: what history should have taught. J. Hydraul. Res. 45(5), 579–594 (2007). https://doi.org/10.1080/00221686.2007.9521795

    Article  Google Scholar 

  36. Balacco, G., Totaro, V., Gioia, A., Piccinni, A.F.: Evaluation of geomorphic descriptors thresholds for flood prone areas detection on ephemeral streams in the metropolitan area of Bari (Italy). In: Misra, S., et al. (eds.) ICCSA 2019. LNCS, vol. 11622, pp. 239–254. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-24305-0_19

    Chapter  Google Scholar 

  37. Samela, C., Manfreda, S., Paola, F.D., Giugni, M., Sole, A., Fiorentino, M.: DEM-based approaches for the delineation of flood-prone areas in an ungauged basin in Africa. J. Hydrol. Eng. (2015). https://doi.org/10.1061/(ASCE)HE.1943-5584.0001272

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Andrea Gioia .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Carbone, F., Balacco, G., Totaro, V., Gioia, A. (2021). Notes on the Performances of Morphological Descriptors for the Evaluation of Flood Susceptibility in Apulian Ephemeral Streams. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2021. ICCSA 2021. Lecture Notes in Computer Science(), vol 12955. Springer, Cham. https://doi.org/10.1007/978-3-030-87007-2_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-87007-2_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-87006-5

  • Online ISBN: 978-3-030-87007-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics