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

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 us...

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Auteurs principaux: Pietro Vannocci, Samuele Segoni, Elena Benedetta Masi, Francesco Cardi, Nicola Nocentini, Ascanio Rosi, Gabriele Bicocchi, Michele D’Ambrosio, Massimiliano Nocentini, Luca Lombardi, Veronica Tofani, Nicola Casagli, Filippo Catani
Format: Article
Langue:English
Publié: MDPI AG 2022-03-01
Collection:Data
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Accès en ligne:https://www.mdpi.com/2306-5729/7/3/37
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author Pietro Vannocci
Samuele Segoni
Elena Benedetta Masi
Francesco Cardi
Nicola Nocentini
Ascanio Rosi
Gabriele Bicocchi
Michele D’Ambrosio
Massimiliano Nocentini
Luca Lombardi
Veronica Tofani
Nicola Casagli
Filippo Catani
author_facet Pietro Vannocci
Samuele Segoni
Elena Benedetta Masi
Francesco Cardi
Nicola Nocentini
Ascanio Rosi
Gabriele Bicocchi
Michele D’Ambrosio
Massimiliano Nocentini
Luca Lombardi
Veronica Tofani
Nicola Casagli
Filippo Catani
author_sort Pietro Vannocci
collection DOAJ
description 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.
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spelling doaj.art-910b51a4ccf046e69a3c8b05e871d9812023-11-24T00:53:56ZengMDPI AGData2306-57292022-03-01733710.3390/data7030037Towards a National-Scale Dataset of Geotechnical and Hydrological Soil Parameters for Shallow Landslide ModelingPietro Vannocci0Samuele Segoni1Elena Benedetta Masi2Francesco Cardi3Nicola Nocentini4Ascanio Rosi5Gabriele Bicocchi6Michele D’Ambrosio7Massimiliano Nocentini8Luca Lombardi9Veronica Tofani10Nicola Casagli11Filippo Catani12Department of Earth Sciences, University of Firenze, 50121 Firenze, ItalyDepartment of Earth Sciences, University of Firenze, 50121 Firenze, ItalyDepartment of Earth Sciences, University of Firenze, 50121 Firenze, ItalyIndependent Researcher, 52022 Arezzo, ItalyDepartment of Earth Sciences, University of Firenze, 50121 Firenze, ItalyDepartment of Earth Sciences, University of Firenze, 50121 Firenze, ItalyDepartment of Earth Sciences, University of Firenze, 50121 Firenze, ItalyDepartment of Earth Sciences, University of Firenze, 50121 Firenze, ItalyCentre for Civil Protection, University of Firenze, 50125 Firenze, ItalyDepartment of Earth Sciences, University of Firenze, 50121 Firenze, ItalyDepartment of Earth Sciences, University of Firenze, 50121 Firenze, ItalyDepartment of Earth Sciences, University of Firenze, 50121 Firenze, ItalyDepartment of Earth Sciences, University of Firenze, 50121 Firenze, ItalyOne 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.https://www.mdpi.com/2306-5729/7/3/37geotechnicshydrologyslope stabilitylandslidemodelinggeotechnical database
spellingShingle Pietro Vannocci
Samuele Segoni
Elena Benedetta Masi
Francesco Cardi
Nicola Nocentini
Ascanio Rosi
Gabriele Bicocchi
Michele D’Ambrosio
Massimiliano Nocentini
Luca Lombardi
Veronica Tofani
Nicola Casagli
Filippo Catani
Towards a National-Scale Dataset of Geotechnical and Hydrological Soil Parameters for Shallow Landslide Modeling
Data
geotechnics
hydrology
slope stability
landslide
modeling
geotechnical database
title Towards a National-Scale Dataset of Geotechnical and Hydrological Soil Parameters for Shallow Landslide Modeling
title_full Towards a National-Scale Dataset of Geotechnical and Hydrological Soil Parameters for Shallow Landslide Modeling
title_fullStr Towards a National-Scale Dataset of Geotechnical and Hydrological Soil Parameters for Shallow Landslide Modeling
title_full_unstemmed Towards a National-Scale Dataset of Geotechnical and Hydrological Soil Parameters for Shallow Landslide Modeling
title_short Towards a National-Scale Dataset of Geotechnical and Hydrological Soil Parameters for Shallow Landslide Modeling
title_sort towards a national scale dataset of geotechnical and hydrological soil parameters for shallow landslide modeling
topic geotechnics
hydrology
slope stability
landslide
modeling
geotechnical database
url https://www.mdpi.com/2306-5729/7/3/37
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