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...
主要な著者: | 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 |
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フォーマット: | 論文 |
言語: | English |
出版事項: |
MDPI AG
2022-03-01
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シリーズ: | Data |
主題: | |
オンライン・アクセス: | https://www.mdpi.com/2306-5729/7/3/37 |
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