IDEAS home Printed from https://ideas.repec.org/a/gam/jdataj/v7y2022i3p37-d775608.html
   My bibliography  Save this article

Towards a National-Scale Dataset of Geotechnical and Hydrological Soil Parameters for Shallow Landslide Modeling

Author

Listed:
  • Pietro Vannocci

    (Department of Earth Sciences, University of Firenze, 50121 Firenze, Italy)

  • Samuele Segoni

    (Department of Earth Sciences, University of Firenze, 50121 Firenze, Italy)

  • Elena Benedetta Masi

    (Department of Earth Sciences, University of Firenze, 50121 Firenze, Italy)

  • Francesco Cardi

    (Independent Researcher, 52022 Arezzo, Italy)

  • Nicola Nocentini

    (Department of Earth Sciences, University of Firenze, 50121 Firenze, Italy)

  • Ascanio Rosi

    (Department of Earth Sciences, University of Firenze, 50121 Firenze, Italy)

  • Gabriele Bicocchi

    (Department of Earth Sciences, University of Firenze, 50121 Firenze, Italy)

  • Michele D’Ambrosio

    (Department of Earth Sciences, University of Firenze, 50121 Firenze, Italy
    Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Pisa, 56125 Pisa, Italy)

  • Massimiliano Nocentini

    (Centre for Civil Protection, University of Firenze, 50125 Firenze, Italy)

  • Luca Lombardi

    (Department of Earth Sciences, University of Firenze, 50121 Firenze, Italy)

  • Veronica Tofani

    (Department of Earth Sciences, University of Firenze, 50121 Firenze, Italy)

  • Nicola Casagli

    (Department of Earth Sciences, University of Firenze, 50121 Firenze, Italy)

  • Filippo Catani

    (Department of Earth Sciences, University of Firenze, 50121 Firenze, Italy
    Department of Geosciences, University of Padova, 35131 Padova, Italy)

Abstract

One of the main constraints in assessing shallow landslide hazards through physically based models is the need to characterize the geotechnical parameters of the involved materials. Indeed, the quantity and quality of input data are closely related to the reliability of the results of every model used, therefore data acquisition is a critical and time-consuming step in every research activity. In this perspective, we reviewed all official certificates of tests performed through 30 years at the Geotechnics Laboratory of the Earth Science Department (University of Firenze, Firenze, Italy), compiling a dataset in which 380 points are accurately geolocated and provide information about one or more geotechnical parameters used in slope stability modeling. All tests performed in the past (in the framework of previous research programs, agreements of cooperation, or to support didactic activities) were gathered, homogenized, digitalized, and geotagged. The dataset is based on both on-site tests and laboratory tests, it accounts for 40 attributes, among which 13 are descriptive (e.g., lithology or location) and 27 may be of direct interest in slope stability modeling as input parameters. The dataset is made openly available and can be useful for scientists or practitioners committed to landslide modeling.

Suggested Citation

  • Pietro Vannocci & Samuele Segoni & Elena Benedetta Masi & Francesco Cardi & Nicola Nocentini & Ascanio Rosi & Gabriele Bicocchi & Michele D’Ambrosio & Massimiliano Nocentini & Luca Lombardi & Veronica, 2022. "Towards a National-Scale Dataset of Geotechnical and Hydrological Soil Parameters for Shallow Landslide Modeling," Data, MDPI, vol. 7(3), pages 1-7, March.
  • Handle: RePEc:gam:jdataj:v:7:y:2022:i:3:p:37-:d:775608
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2306-5729/7/3/37/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2306-5729/7/3/37/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jdataj:v:7:y:2022:i:3:p:37-:d:775608. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.