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2017 | OriginalPaper | Buchkapitel

Assessing Landslide Dams Evolution: A Methodology Review https://static-content.springer.com/image/chp%3A10.1007%2F978-3-319-53483-1_29/MediaObjects/440499_1_En_29_Figa_HTML.png

verfasst von : Carlo Tacconi Stefanelli, Samuele Segoni, Nicola Casagli, Filippo Catani

Erschienen in: Advancing Culture of Living with Landslides

Verlag: Springer International Publishing

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Abstract

In hilly and mountainous regions, landslide dams can be recurring events involving river networks. A landslide dam can form when sliding material reaches the valley floor and closes a riverbed causing the formation of a water basin. Unstable landslide dams may collapse with catastrophic consequences in populated regions because of the resulting destructive flooding wave released. To prevent these consequences, the assessment of landslide dam evolution is a fundamental but not easy task, because of the complex interaction between watercourse and slope dynamics. Several researchers proposed geomorphological indexes to evaluate dam formation and stability for risk assessment purpose. These indexes are usually composed by two or more morphological parameters, characterizing the landslide (e.g. sliding material volume or velocity) and the river (e.g. catchment area or valley width). In this work, a procedure to evaluate landslide dam evolution is applied and reviewed. About 300 obstruction cases occurred in Italy were analyzed with two recently proposed indexes, the Morphological Obstruction Index (MOI) and the Hydromorphological Dam Stability Index (HDSI). The former, which combines the landslide volume and the river width, is used to identify the conditions that lead to the formation of a landslide dam or not. The latter, which combines the landslide volume and a simplified formulation of the stream power (composed by the upstream catchment area and the local slope), allows a near real time evaluation of the stability of a dam after its formation. The two indexes show a good forecasting effectiveness (61% for MOI and 34% for HDSI) and employ easily and quickly available input parameters that can be assessed on a distributed way even over large areas. The indexes can be combined in a convenient procedure to assess, through two subsequent steps, the final stage in which a landslide dam will evolve.

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Literatur
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Zurück zum Zitat Ermini L, Casagli N (2003) Prediction of the behavior of landslide dams using a geomorphical dimensionless index. Earth Surf Proc Land 28:31–47. doi:10.1002/esp.424 CrossRef Ermini L, Casagli N (2003) Prediction of the behavior of landslide dams using a geomorphical dimensionless index. Earth Surf Proc Land 28:31–47. doi:10.​1002/​esp.​424 CrossRef
Zurück zum Zitat Swanson FJ, Oyagi N, Tominaga M (1986) Landslide dams in Japan. In: Schuster RL (ed) Landslide dams: processes risk and mitigation. Geotechnical Special Publication, vol 3. American Society of Civil Engineering, New York, pp 131–145 Swanson FJ, Oyagi N, Tominaga M (1986) Landslide dams in Japan. In: Schuster RL (ed) Landslide dams: processes risk and mitigation. Geotechnical Special Publication, vol 3. American Society of Civil Engineering, New York, pp 131–145
Zurück zum Zitat Tacconi Stefanelli C, Segoni S, Casagli N, Catani F (2016) Geomorphic indexing of landslide dams evolution. Eng Geol 208:1–10CrossRef Tacconi Stefanelli C, Segoni S, Casagli N, Catani F (2016) Geomorphic indexing of landslide dams evolution. Eng Geol 208:1–10CrossRef
Zurück zum Zitat Van Herk S, Zevenbergen C, Ashley R, Rijke J (2011) Learning and action alliances for the integration of flood risk management into urban planning: a new framework from empirical evidence from The Netherlands. Environ Sci Policy 14(5):543–554CrossRef Van Herk S, Zevenbergen C, Ashley R, Rijke J (2011) Learning and action alliances for the integration of flood risk management into urban planning: a new framework from empirical evidence from The Netherlands. Environ Sci Policy 14(5):543–554CrossRef
Metadaten
Titel
Assessing Landslide Dams Evolution: A Methodology Review
verfasst von
Carlo Tacconi Stefanelli
Samuele Segoni
Nicola Casagli
Filippo Catani
Copyright-Jahr
2017
DOI
https://doi.org/10.1007/978-3-319-53483-1_29