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Definition of Environmental Indicators for a Fast Estimation of Landslide Risk at National Scale

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  • Samuele Segoni

    (Department of Earth Sciences, University of Florence, Via La Pira 4, 50121 Florence, Italy)

  • Francesco Caleca

    (Department of Earth Sciences, University of Florence, Via La Pira 4, 50121 Florence, Italy)

Abstract

The purpose of this paper is to propose a new set of environmental indicators for the fast estimation of landslide risk over very wide areas. Using Italy (301,340 km 2 ) as a test case, landslide susceptibility maps and soil sealing/land consumption maps were combined to derive a spatially distributed indicator (LRI—landslide risk index), then an aggregation was performed using Italian municipalities as basic spatial units. Two indicators were defined, namely ALR (averaged landslide risk) and TLR (total landslide risk). All data were processed using GIS programs. Conceptually, landslide susceptibility maps account for landslide hazard while soil sealing maps account for the spatial distribution of anthropic elements exposed to risk (including buildings, infrastructure, and services). The indexes quantify how much the two issues overlap, producing a relevant risk and can be used to evaluate how each municipality has been prudent in planning sustainable urban growth to cope with landslide risk. The proposed indexes are indicators that are simple to understand, can be adapted to various contexts and at various scales, and could be periodically updated, with very low effort, making use of the products of ongoing governmental monitoring programs of Italian environment. Of course, the indicators represent an oversimplification of the complexity of landslide risk, but this is the first time that a landslide risk indicator has been defined in Italy at the national scale, starting from landslide susceptibility maps (although Italy is one of the European countries most affected by hydro-geological hazards) and, more in general, the first time that land consumption maps are integrated into a landslide risk assessment.

Suggested Citation

  • Samuele Segoni & Francesco Caleca, 2021. "Definition of Environmental Indicators for a Fast Estimation of Landslide Risk at National Scale," Land, MDPI, vol. 10(6), pages 1-14, June.
  • Handle: RePEc:gam:jlands:v:10:y:2021:i:6:p:621-:d:571971
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    5. Gianluca Esposito & Cristiano Carabella & Giorgio Paglia & Enrico Miccadei, 2021. "Relationships between Morphostructural/Geological Framework and Landslide Types: Historical Landslides in the Hilly Piedmont Area of Abruzzo Region (Central Italy)," Land, MDPI, vol. 10(3), pages 1-28, March.
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    1. Federica Isola & Sabrina Lai & Federica Leone & Corrado Zoppi, 2023. "Land Take and Landslide Hazard: Spatial Assessment and Policy Implications from a Study Concerning Sardinia," Land, MDPI, vol. 12(2), pages 1-23, January.
    2. Frederico Fernandes Ávila & Regina C. Alvalá & Rodolfo M. Mendes & Diogo J. Amore, 2024. "Socio-geoenvironmental vulnerability index (SGeoVI) derived from hybrid modeling related to populations at-risk to landslides," 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. 120(9), pages 8121-8151, July.
    3. Enrico Miccadei & Cristiano Carabella & Giorgio Paglia, 2022. "Landslide Hazard and Environment Risk Assessment," Land, MDPI, vol. 11(3), pages 1-5, March.
    4. Nisar Ali Shah & Muhammad Shafique & Muhammad Ishfaq & Kamil Faisal & Mark Van der Meijde, 2023. "Integrated Approach for Landslide Risk Assessment Using Geoinformation Tools and Field Data in Hindukush Mountain Ranges, Northern Pakistan," Sustainability, MDPI, vol. 15(4), pages 1-21, February.

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    Keywords

    landslide; Italy; risk; soil sealing;
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