Landslide Susceptibility in Turkish Northewesternmost Sector: Distinctive Patterns of Inactive and Active Landslides

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F24%3A10486368" target="_blank" >RIV/00216208:11310/24:10486368 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1007/978-981-99-9061-0_44" target="_blank" >https://doi.org/10.1007/978-981-99-9061-0_44</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-981-99-9061-0_44" target="_blank" >10.1007/978-981-99-9061-0_44</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Landslide Susceptibility in Turkish Northewesternmost Sector: Distinctive Patterns of Inactive and Active Landslides

Popis výsledku v původním jazyce

The Western Pontides, an active neo-tectonic region in Northwestern Turkey, are particularly rich in slope movements. Here, data-driven modelling is challenging owing to a prominent variability in geological and geomorphological features, which hinders a straightforward comprehension of ongoing and past processes. Statistical models can indeed be used to recognise portions of the landscape that are more susceptible to landslides, whereas inferring possible causation from spatial correlations with a number of other spatial characteristics typically requires knowledge of triggers and mechanisms. Here, we present results that we obtained using a dataset of active and relict landslides in the Western Pontides, for which we produced two distinct landslide susceptibility models. We subdivided the area in slope units, chich are geomorphologically consistent, and worked in R-INLA with a Bayesian version of binomial Generalised Additive Model. By doing so, we were able to evaluate the effect of the variables in the two models and identify effects of geomorphological factors that depend on the state of activity. Furthermore, we could describe and compare linearities and nonlinearities to better capture differences in spatial patterns possibly related to distinct triggers. We argue that our approach may also serve to assess the reliability of an inventory classification, as the presence of biases would make the emergence of distinctive patterns less likely.

Název v anglickém jazyce

Landslide Susceptibility in Turkish Northewesternmost Sector: Distinctive Patterns of Inactive and Active Landslides

Popis výsledku anglicky

The Western Pontides, an active neo-tectonic region in Northwestern Turkey, are particularly rich in slope movements. Here, data-driven modelling is challenging owing to a prominent variability in geological and geomorphological features, which hinders a straightforward comprehension of ongoing and past processes. Statistical models can indeed be used to recognise portions of the landscape that are more susceptible to landslides, whereas inferring possible causation from spatial correlations with a number of other spatial characteristics typically requires knowledge of triggers and mechanisms. Here, we present results that we obtained using a dataset of active and relict landslides in the Western Pontides, for which we produced two distinct landslide susceptibility models. We subdivided the area in slope units, chich are geomorphologically consistent, and worked in R-INLA with a Bayesian version of binomial Generalised Additive Model. By doing so, we were able to evaluate the effect of the variables in the two models and identify effects of geomorphological factors that depend on the state of activity. Furthermore, we could describe and compare linearities and nonlinearities to better capture differences in spatial patterns possibly related to distinct triggers. We argue that our approach may also serve to assess the reliability of an inventory classification, as the presence of biases would make the emergence of distinctive patterns less likely.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10505 - Geology

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název statě ve sborníku

Engineering Geology for a Habitable Earth: IAEG XIV Congress 2023 Proceedings Vol. 2

ISBN

978-981-9990-60-3

ISSN

1863-5520

e-ISSN

1863-5539

Počet stran výsledku

16

Strana od-do

613-628

Název nakladatele

Springer - Verlag Singapore PTE Ltd

Místo vydání

Singapore

Místo konání akce

Chengdu, China

Datum konání akce

21. 9. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

001315804700044