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Soil Erosion Modelling on Arable Lands and Soil Types in Basilicata, Southern Italy

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

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10408))

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Abstract

Evaluating the impact and the incidence of the erosive phenomenon affecting the Basilicata region in 2012 - in particular, the agricultural areas used for the arable lands cultivation -, is an important goal aimed at correlating the erosion process – evaluated through the USPED method application (2012) - with the main characteristics related to soil and the areas interested, such as: soil types, with particular attention to two physical-chemical characteristics, such as: total CaCO3 (%) and soil organic matter content (SOM, %) -, land uses and the spatial distribution of arable lands at municipal scale. The correlation is intended to give an overview of geological and agricultural of amount of the areas affected by this phenomenon, since it aims to analyze and evaluate the agrarian framework in relation to the state of erosion in 2012 by assessing the incidence of the erosion process at regional and municipal scale in relation to the different scenarios deriving from the land use and soil types and choosing the most efficient land management strategy in terms of potential policies to communicate to the final decision makers.

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Author information

Authors and Affiliations

  1. SAFE - School of Agricultural, Forestry, Food and Environmental Sciences, University of Basilicata, 85100, Potenza, Italy

    Dimotta Antonella, Cozzi Mario & Romano Severino

  2. CNR IBAM, C/da S. Loja Zona Industriale, 85050, Tito Scalo, PZ, Italy

    Dimotta Antonella & Lazzari Maurizio

Authors
  1. Dimotta Antonella
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  2. Lazzari Maurizio
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  3. Cozzi Mario
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  4. Romano Severino
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Corresponding author

Correspondence to Lazzari Maurizio .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Ota, Nigeria

    Sanjay Misra

  4. University of Trieste, Trieste, Italy

    Giuseppe Borruso

  5. Polytechnic University of Bari, Bari, Italy

    Carmelo M. Torre

  6. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  7. Monash University, Clayton, Victoria, Australia

    David Taniar

  8. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  9. Saint Petersburg State University, Saint Petersburg, Russia

    Elena Stankova

  10. University of Trieste, Trieste, Italy

    Alfredo Cuzzocrea

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Antonella, D., Maurizio, L., Mario, C., Severino, R. (2017). Soil Erosion Modelling on Arable Lands and Soil Types in Basilicata, Southern Italy. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2017. ICCSA 2017. Lecture Notes in Computer Science(), vol 10408. Springer, Cham. https://doi.org/10.1007/978-3-319-62404-4_5

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  • DOI: https://doi.org/10.1007/978-3-319-62404-4_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-62403-7

  • Online ISBN: 978-3-319-62404-4

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