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Mass movements inventory map of the Rubbio stream catchment (Basilicata - South Italy)

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  • Massimo Conforti
  • Stefania Pascale
  • Francesco Sdao

Abstract

In the Basilicata region (South Italy) slope movements, caused by soft rocks, rapid tectonic uplift, earthquakes, and seasonally heavy precipitation, constitute one of the major geologic hazards. For this reason a detailed inventory map of mass movements has been created in a test area of south-eastern Basilicata. The map was compiled from field surveys and multi-temporal air photo interpretation. For each landslide, the map depicts the state of activity and dominant type of slope movement. The integration and analysis of the data obtained by using a geographic information system has produced the mass movements inventory map at a scale of 1:25,000.Mass movements are widespread and play a key role in the landscape evolution of the study area. A total of 175 landslides were recognized, occupying a surface area of 16.2 km-super-2, about 9% of the whole basin of interest. The spatial distribution and type of mass movements are mainly related to the lithology and structural features. Field surveys coupled with interpretation of multi-temporal aerial photos allowed us to distinguish between active (20.6%) and inactive (79.4%) landslides. Mass movements, mapped on the basis of movement type, are represented by slides, flows and complex landslides. The complex and slide type movements are very common, and represent more than 86% of the landslides mapped.

Suggested Citation

  • Massimo Conforti & Stefania Pascale & Francesco Sdao, 2015. "Mass movements inventory map of the Rubbio stream catchment (Basilicata - South Italy)," Journal of Maps, Taylor & Francis Journals, vol. 11(3), pages 454-463, May.
    • Handle: RePEc:taf:tjomxx:v:11:y:2015:i:3:p:454-463
    DOI: 10.1080/17445647.2014.924038
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    References listed on IDEAS

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    1. Massimo Conforti & Stefania Pascale & Mariangela Pepe & Francesco Sdao & Aurelia Sole, 2013. "Denudation processes and landforms map of the Camastra River catchment (Basilicata - South Italy)," Journal of Maps, Taylor & Francis Journals, vol. 9(3), pages 444-455, September.
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    Cited by:

    1. Somnath Bera & Vaibhav Kumar Upadhyay & Balamurugan Guru & Thomas Oommen, 2021. "Landslide inventory and susceptibility models considering the landslide typology using deep learning: Himalayas, India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 108(1), pages 1257-1289, August.
    2. Xiang-Zhou Xu & Wen-Zhao Guo & Ya-Kun Liu & Jian-Zhong Ma & Wen-Long Wang & Hong-Wu Zhang & Hang Gao, 2017. "Landslides on the Loess Plateau of China: a latest statistics together with a close look," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 86(3), pages 1393-1403, April.

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