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Reanalysis of soil moisture used for rainfall thresholds for rainfall-induced landslides : the Italian case study
ID
Bezak, Nejc
(
Avtor
),
ID
Jemec Auflič, Mateja
(
Avtor
),
ID
Mikoš, Matjaž
(
Avtor
)
PDF - Predstavitvena datoteka,
prenos
(5,89 MB)
MD5: 187903130FEE104A0DBE172CDA2513BC
URL - Izvorni URL, za dostop obiščite
https://www.mdpi.com/2073-4441/13/14/1977
Galerija slik
Izvleček
Landslides are one of the most frequent natural disasters that can endanger human lives and property. Therefore, prediction of landslides is essential to reduce economic damage and save human lives. Numerous methods have been developed for the prediction of landslides triggering, ranging from simple methods that include empirical rainfall thresholds, to more complex ones that use sophisticated physically- or conceptually-based models. Reanalysis of soil moisture data could be one option to improve landslide forecasting accuracy. This study used the publicly available FraneItalia database hat contains almost 9000 landslide events that occurred in the 2010–2017 period in Italy. The Copernicus Uncertainties in Ensembles of Regional Reanalyses (UERRA) dataset was used to obtain precipitation and volumetric soil moisture data. The results of this study indicated that precipitation information is still a much better predictor of landslides triggering compared to the reanalyzed (i.e., not very detailed) soil moisture data. This conclusion is valid both for local (i.e., grid) and regional (i.e., catchment-based) scales. Additionally, at the regional scale, soil moisture data can only predict a few landslide events (i.e., on average around one) that are not otherwise predicted by the simple empirical rainfall threshold approach; however, this approach on average, predicted around 18 events (i.e., 55% of all events). Despite this, additional investigation is needed using other (more complete) landslide databases and other (more detailed) soil moisture products.
Jezik:
Angleški jezik
Ključne besede:
soil moisture
,
reanalysis
,
landslide
,
Italy
,
database
,
empirical thresholds
Vrsta gradiva:
Članek v reviji
Tipologija:
1.01 - Izvirni znanstveni članek
Organizacija:
FGG - Fakulteta za gradbeništvo in geodezijo
Status publikacije:
Objavljeno
Različica publikacije:
Objavljena publikacija
Leto izida:
2021
Št. strani:
14 str.
Številčenje:
Vol. 13, iss. 14, art. 1977
PID:
20.500.12556/RUL-131829
UDK:
550.348.435(450)
ISSN pri članku:
2073-4441
DOI:
10.3390/w13141977
COBISS.SI-ID:
70755075
Datum objave v RUL:
04.10.2021
Število ogledov:
1472
Število prenosov:
154
Metapodatki:
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Objavi na:
Gradivo je del revije
Naslov:
Water
Skrajšan naslov:
Water
Založnik:
Molecular Diversity Preservation International - MDPI
ISSN:
2073-4441
COBISS.SI-ID:
36731653
Licence
Licenca:
CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:
http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:
To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
Začetek licenciranja:
19.07.2021
Sekundarni jezik
Jezik:
Slovenski jezik
Ključne besede:
vlažnost tal
,
reanalize
,
zemeljski plazovi
,
Italija
,
podatkovna baza
,
empirični pragovi
Projekti
Financer:
ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Številka projekta:
P2-0180
Naslov:
Vodarstvo in geotehnika: orodja in metode za analize in simulacije procesov ter razvoj tehnologij
Financer:
ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Številka projekta:
P1-0011
Naslov:
Regionalna geologija
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