Modeling landslide activity and sediment connectivity after eruptions: Insights from the Blanco River (Chile)

Alberto Paredes; Lorenzo Martini; Andrés Iroumé; Lorenzo Picco

doi:10.1016/j.scitotenv.2023.163745

Modeling landslide activity and sediment connectivity after eruptions: Insights from the Blanco River (Chile)

Sci Total Environ. 2023 Jul 20:883:163745. doi: 10.1016/j.scitotenv.2023.163745. Epub 2023 Apr 25.

Authors

Alberto Paredes¹, Lorenzo Martini², Andrés Iroumé³, Lorenzo Picco⁴

Affiliations

¹ Universidad Austral de Chile, Graduate School, Doctorate in Forest Sciences and Natural Resources, Faculty of Forest Sciences and Natural Resources, Valdivia, Chile.
² University of Padova, Department of Land, Environment, Agriculture and Forestry, Legnaro, Italy. Electronic address: lorenzo.martini@unipd.it.
³ Universidad Austral de Chile, Faculty of Forest Sciences and Natural Resources, Valdivia, Chile.
⁴ University of Padova, Department of Land, Environment, Agriculture and Forestry, Legnaro, Italy.

PMID: 37105484
DOI: 10.1016/j.scitotenv.2023.163745

Abstract

Volcanic eruptions can disrupt entire river basins by affecting the hydro-geomorphic characteristics of channel networks and hillslopes. Reports suggest a pulsed and delayed increase in landslide activity following the eruptions, which, depending on the degree of linkage between hillslopes and channels, i.e. sediment connectivity, can represent a massive source of sediment input for the fluvial system. Therefore, predicting landslide occurrence and sediment connectivity is fundamental for management risk strategies, especially in such dynamic and complex environments. The aim of this work is to develop and offer a more reliable approach to map the areas susceptible to landslides and connected to the active channel in a catchment impacted by volcanic eruption. The analyses were carried out in the Blanco River catchment in southern Chile, affected by the Chaitén eruption (2008-09). A combined approach is presented, based on landslide susceptibility models, carried out multi-temporally (from 2010 to 2019), and a threshold-based sediment connectivity map. The results showed that the highest landslide occurrence was reported 4 years after the eruption, whereas the faster increase in the overall area affected was observed only after 7 years. Landslide susceptibility models showed high accuracy when applied in the same year, but were less accurate in predicting future occurrences. This result is ascribed to the dynamic conditions of the vegetation, regenerating quickly after the mass movements. Nevertheless, considering the potential sources of error, the combined landslide susceptibility-connectivity map for the year 2019 well-identified relevant areas for catchment management. The largest part of the catchment was found non-susceptible and disconnected, while areas classified as susceptible and connected represent only 3.1 %. The application of this novel approach allowed to unravel the geomorphic trajectory of the study area and, more importantly, can represent a benchmark for future applications in other catchments affected by large disturbances.

Keywords: Chile; Connectivity; Forest cover changes; Landslides; Volcanic eruption.