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Evaluation of Geomorphic Descriptors Thresholds for Flood Prone Areas Detection on Ephemeral Streams in the Metropolitan Area of Bari (Italy)

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Computational Science and Its Applications – ICCSA 2019 (ICCSA 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11622))

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Abstract

Using geomorphic descriptors is a fast and reliable approach for mapping flood-prone areas exploiting Digital Elevation Models and their tools. However, calibration and validation procedures require a flooded map obtained by 1D/2D hydraulic simulation, which usually needs lots of information (available, for example, from remote sensing techniques) and important computational efforts. This approach is usually performed by calibration on a single event, using linear binary classifiers method and Receiver Operating Characteristics curves, in order to define an optimal threshold corresponding to a selected flooded map. On the other hand, the availability of flood-risk maps, provided by public or private institutions, is an important source of data for applying this procedure on a wide and hydrologically homogeneous area, in order to analyze some similitudes. In this study some interesting case studies located in Puglia region (Southern Italy) are investigated, using flooded maps for return periods of 30, 200 and 500 years provided by Basin Authority of Puglia; the aim of the proposed work is to compare the known flooded map areas with those obtained using several geomorphologic index on four case studies located in the metropolitan area of Bari (Puglia).

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Author information

Authors and Affiliations

  1. Politecnico di Bari, Via E. Orabona, 470125, Bari, Italy

    Gabriella Balacco, Vincenzo Totaro, Andrea Gioia & Alberto Ferruccio Piccinni

Authors
  1. Gabriella Balacco
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  2. Vincenzo Totaro
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  3. Andrea Gioia
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  4. Alberto Ferruccio Piccinni
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Corresponding author

Correspondence to Vincenzo Totaro .

Editor information

Editors and Affiliations

  1. Covenant University, Ota, Nigeria

    Sanjay Misra

  2. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  3. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  4. Saint Petersburg State University, Saint Petersburg, Russia

    Elena Stankova

  5. Saint Petersburg State University, Saint Petersburg , Russia

    Vladimir Korkhov

  6. Polytechnic University of Bari, Bari, Italy

    Carmelo Torre

  7. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  8. Monash University, Clayton, VIC, Australia

    David Taniar

  9. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  10. Polytechnic University of Bari, Bari, Italy

    Eufemia Tarantino

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Balacco, G., Totaro, V., Gioia, A., Piccinni, A.F. (2019). 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. Computational Science and Its Applications – ICCSA 2019. ICCSA 2019. Lecture Notes in Computer Science(), vol 11622. Springer, Cham. https://doi.org/10.1007/978-3-030-24305-0_19

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  • DOI: https://doi.org/10.1007/978-3-030-24305-0_19

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