Landslides in the glaciated mountains of the Cordillera Blanca, Peru - types, spatial distribution and conditioning factors

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985891%3A_____%2F25%3A00599907" target="_blank" >RIV/67985891:_____/25:00599907 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61988987:17310/25:A26039OF RIV/00025798:_____/25:10169456

Výsledek na webu

<a href="https://doi.org/10.1007/s10346-024-02387-6" target="_blank" >https://doi.org/10.1007/s10346-024-02387-6</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s10346-024-02387-6" target="_blank" >10.1007/s10346-024-02387-6</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Landslides in the glaciated mountains of the Cordillera Blanca, Peru - types, spatial distribution and conditioning factors

Popis výsledku v původním jazyce

Landslides are typical landforming processes of high, glaciated mountains and represent hazards to communities living in these landscapes. Despite that, few detailed and reliable landslide inventories exist for high mountain environments. Such inventories underpin effective landslide risk mitigation strategies and help to provide an objective evaluation of climate change consequences. This article presents a geomorphology-based historical landslide inventory of the world’s most glaciated tropical mountain range the Cordillera Blanca Mountains in Peru. Visual interpretation and classification of relatively large (> 0.02 km2) landslides with preserved morphological imprint was achieved using high-resolution optical images and a 12 m resolution TanDEM-X elevation model across an area of 5600 km2. In total, 861 landslides were mapped, giving a total landslide area of 5.1%. Identified types include deep-seated gravitational slope deformations, slides, flows, rockfalls, and rock avalanches. The latter type represents only three cases, while at 68.1% slide is the most frequent type. Approximately 40% of the mapped landslides are active, with movement detected using InSAR analysis of Sentinel images during 1 year (May 2017 to May 2018). The spatial distribution of both active and inactive landslides strongly varies with lithology, with sedimentary rocks followed by metasedimentary rocks being the most susceptible to the identified landslides. These rocks are largely limited to the eastern part of the mountain range with relatively low local relief. The granodiorites, which form its central and highest part, are the least susceptible to the mapped landslide occurrences, with rockfalls being the most frequent type there. The lithological control on landslide occurrence overrides not only topographic effects but so far also the destabilizing effects of climate change in recently glaciated or areas of ongoing glacier retreat. This dataset provides a baseline from which to assess how the distribution of landslides and landslide activity evolves in the future as a result of projected climate changes, particularly in the highest parts of the mountain range anticipated to be most sensitive to such change.

Název v anglickém jazyce

Landslides in the glaciated mountains of the Cordillera Blanca, Peru - types, spatial distribution and conditioning factors

Popis výsledku anglicky

Landslides are typical landforming processes of high, glaciated mountains and represent hazards to communities living in these landscapes. Despite that, few detailed and reliable landslide inventories exist for high mountain environments. Such inventories underpin effective landslide risk mitigation strategies and help to provide an objective evaluation of climate change consequences. This article presents a geomorphology-based historical landslide inventory of the world’s most glaciated tropical mountain range the Cordillera Blanca Mountains in Peru. Visual interpretation and classification of relatively large (> 0.02 km2) landslides with preserved morphological imprint was achieved using high-resolution optical images and a 12 m resolution TanDEM-X elevation model across an area of 5600 km2. In total, 861 landslides were mapped, giving a total landslide area of 5.1%. Identified types include deep-seated gravitational slope deformations, slides, flows, rockfalls, and rock avalanches. The latter type represents only three cases, while at 68.1% slide is the most frequent type. Approximately 40% of the mapped landslides are active, with movement detected using InSAR analysis of Sentinel images during 1 year (May 2017 to May 2018). The spatial distribution of both active and inactive landslides strongly varies with lithology, with sedimentary rocks followed by metasedimentary rocks being the most susceptible to the identified landslides. These rocks are largely limited to the eastern part of the mountain range with relatively low local relief. The granodiorites, which form its central and highest part, are the least susceptible to the mapped landslide occurrences, with rockfalls being the most frequent type there. The lithological control on landslide occurrence overrides not only topographic effects but so far also the destabilizing effects of climate change in recently glaciated or areas of ongoing glacier retreat. This dataset provides a baseline from which to assess how the distribution of landslides and landslide activity evolves in the future as a result of projected climate changes, particularly in the highest parts of the mountain range anticipated to be most sensitive to such change.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10508 - Physical geography

Projekt

<a href="/cs/project/GA22-12522S" target="_blank" >GA22-12522S: Mikroskopická anatomie letokruhů stromů jako zdroj chronologických informací pro optimalizaci stanovení sesuvného hazardu</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Landslides

ISSN

1612-510X

e-ISSN

1612-5118

Svazek periodika

22

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

17

Strana od-do

803-819

Kód UT WoS článku

001340524400001

EID výsledku v databázi Scopus

2-s2.0-85207038323