Guerini, Michele; Giardino, Marco; Paranunzio, Roberta; Nigrelli, Guido; Turconi, Laura; Luino, Fabio; Chiarle, Marta (2021): Slope failures at high elevation in the Italian Alps in the period 2000-2020 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.931824
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Abstract:
This dataset implements and updates with 106 new records the one published by Paranunzio et al. 2019 (doi:10.1594/PANGAEA.903761). The two datasets have the same survey methodology, making the new dataset homogeneous with the previous one. All together, we collected and validated a dataset of 392 slope instability events documented from 2000 to 2020, at high elevation (above 1500 m a.s.l.) in the Italian Alps. The dataset includes landslides, blockfalls, rockfalls, soil slips, rock avalanches and complex landslides. It was realized in the framework of a study aimed to assess the susceptibility to failure of slopes with specific geomorphological characteristics and the role of climatic elements in the preparation and/or triggering of slope instability. At present, this is the most comprehensive dataset on slope failures occurred at high elevation in the Italian Alps in the last two decades. This work is intended as a contribution to the creation of an alpine/global dataset of slope failures at high elevation, useful for studying the impacts of climate change on fragile
mountain environments.
Related to:
Paranunzio, Roberta; Chiarle, Marta; Laio, Francesco; Nigrelli, Guido; Turconi, Laura; Luino, Fabio (2019): New insights in the relation between climate and slope failures at high-elevation sites. Theoretical and Applied Climatology, 137(3-4), 1765-1784, https://doi.org/10.1007/s00704-018-2673-4
Paranunzio, Roberta; Chiarle, Marta; Laio, Francesco; Nigrelli, Guido; Turconi, Laura; Luino, Fabio (2019): Slope failures in high-mountain areas in the Alpine Region [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.903761
Further details:
Coverage:
Median Latitude: 45.878227 * Median Longitude: 8.756222 * South-bound Latitude: 44.144050 * West-bound Longitude: 6.675848 * North-bound Latitude: 46.926361 * East-bound Longitude: 13.479919
Date/Time Start: 2000-03-11T00:00:00 * Date/Time End: 2020-09-26T00:00:00
Minimum ELEVATION: 1500 m a.s.l. * Maximum ELEVATION: 4470 m a.s.l.
Event(s):
Adamello_N * Latitude: 46.158444 * Longitude: 10.497075 * Date/Time Start: 2017-08-15T00:00:00 * Date/Time End: 2017-08-31T00:00:00 * Elevation: 3100.0 m * Location: Italian Alps * Method/Device: Observation (OBSE)
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | Event label | Event | Guerini, Michele | |||
| 2 | Precision parameter | k | Guerini, Michele | spacial precision | ||
| 3 | Precision parameter | k | Guerini, Michele | temporal precision | ||
| 4 | Area/locality | Area | Guerini, Michele | |||
| 5 | Reference/source | Reference | Guerini, Michele | |||
| 6 | Name | Name | Guerini, Michele | of Event | ||
| 7 | ELEVATION | Elevation | m a.s.l. | Guerini, Michele | Geocode | |
| 8 | DATE/TIME | Date/Time | Guerini, Michele | Geocode – value or range min | ||
| 9 | DATE/TIME | Date/Time | Guerini, Michele | Geocode – range max | ||
| 10 | LATITUDE | Latitude | Guerini, Michele | Geocode | ||
| 11 | LONGITUDE | Longitude | Guerini, Michele | Geocode | ||
| 12 | Process | Process | Guerini, Michele | |||
| 13 | Volume | Vol | m3 | Guerini, Michele | value or range min | |
| 14 | Volume | Vol | m3 | Guerini, Michele | range max | |
| 15 | Comment | Comment | Guerini, Michele | |||
| 16 | Lithology/composition/facies | Lithology | Guerini, Michele | |||
| 17 | Slope | Slope | deg | Guerini, Michele | ||
| 18 | Aspect | Aspect | deg | Guerini, Michele | ||
| 19 | State of permafrost | State | Guerini, Michele | permafrost probability of occurrence (B = blue = permafrost in nearly all conditions; P = purple = permafrost mostly in cold condition; Y = yellow = permafrost in very favourable conditions; N = lack of permafrost) |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
4560 data points
Download Data
View dataset as HTML (shows only first 2000 rows)