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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MDPI AG
2022-03-01
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| Online Access: | 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. |
| first_indexed | 2024-03-09T19:57:08Z |
| format | Article |
| id | doaj.art-910b51a4ccf046e69a3c8b05e871d981 |
| institution | Directory Open Access Journal |
| issn | 2306-5729 |
| language | English |
| last_indexed | 2024-03-09T19:57:08Z |
| publishDate | 2022-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Data |
| 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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