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Link to original content: https://doi.org/10.1007/978-3-319-21470-2_58
A Quantitative Prediction of Soil Consumption in Southern Italy | SpringerLink
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A Quantitative Prediction of Soil Consumption in Southern Italy

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Computational Science and Its Applications -- ICCSA 2015 (ICCSA 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9157))

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Abstract

Landuse/cover evolution dynamic is a subject widely and thoroughly investigated, especially concerning consumption of natural and other lands, due to anthropogenic activities. This paper focuses on a region in southern Italy, where soil consumption is known to represent a urging matter of concern. However, although negative impacts of soil consumption are well known, to our knowledge there are no case studies presenting a precise quantitative measurement of the intensity of such phenomenon for the region of interest. This study aims at forecasting the development of urban settlements through the application of the cellular automata model SLEUTH; the first region to be investigated has been the Municipality of Altamura (Apulia region, Italy). This area has been used as a pilot case study to explore many difficulties and advantages in applying such a methodology to the whole southern Italian region. The final goal was to frame and populate an atlas of soil consumption in southern Italy, which intends to offer useful support to sustainable planning and policies.

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Author information

Authors and Affiliations

  1. University of Basilicata, 10,Viale Dell’AteneoLucano, 85100, Potenza, Italy

    Federico Amato & Beniamino Murgante

  2. University of Rome “La Sapienza”, Via Del Castro Laurenziano 9, 00161, Rome, Italy

    Federico Martellozzo

  3. Italian National ResearchCouncil, IMAA, C.Da Santa Loja, 85050, Tito Scalo, Potenza, Italy

    Gabriele Nolè

Authors
  1. Federico Amato
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  2. Federico Martellozzo
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  3. Beniamino Murgante
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  4. Gabriele Nolè
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Corresponding author

Correspondence to Beniamino Murgante .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Canaanland, Nigeria

    Sanjay Misra

  4. University of Calgary, Calgary, Alberta, Canada

    Marina L. Gavrilova

  5. University of Minho, Braga, Portugal

    Ana Maria Alves Coutinho Rocha

  6. Polytechnic University, Bari, Italy

    Carmelo Torre

  7. Monash University, Clayton, Victoria, Australia

    David Taniar

  8. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

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Amato, F., Martellozzo, F., Murgante, B., Nolè, G. (2015). A Quantitative Prediction of Soil Consumption in Southern Italy. In: Gervasi, O., et al. Computational Science and Its Applications -- ICCSA 2015. ICCSA 2015. Lecture Notes in Computer Science(), vol 9157. Springer, Cham. https://doi.org/10.1007/978-3-319-21470-2_58

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  • DOI: https://doi.org/10.1007/978-3-319-21470-2_58

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-21469-6

  • Online ISBN: 978-3-319-21470-2

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