Towards A Geo-Hydro-Mechanical Characterization of Landslide Classes: Preliminary Results
Nowadays, landslides still cause both deaths and heavy economic losses around the world, despite the development of risk mitigation measures, which are often not effective; this is mainly due to the lack of proper analyses of landslide mechanisms. As such, in order to achieve a decisive advancement...
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MDPI AG
2020-11-01
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Online Access: | https://www.mdpi.com/2076-3417/10/22/7960 |
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author | Federica Cotecchia Francesca Santaloia Vito Tagarelli |
author_facet | Federica Cotecchia Francesca Santaloia Vito Tagarelli |
author_sort | Federica Cotecchia |
collection | DOAJ |
description | Nowadays, landslides still cause both deaths and heavy economic losses around the world, despite the development of risk mitigation measures, which are often not effective; this is mainly due to the lack of proper analyses of landslide mechanisms. As such, in order to achieve a decisive advancement for sustainable landslide risk management, our knowledge of the processes that generate landslide phenomena has to be broadened. This is possible only through a multidisciplinary analysis that covers the complexity of landslide mechanisms that is a fundamental part of the design of the mitigation measure. As such, this contribution applies the “stage-wise” methodology, which allows for geo-hydro-mechanical (GHM) interpretations of landslide processes, highlighting the importance of the synergy between geological-geomorphological analysis and hydro-mechanical modeling of the slope processes for successful interpretations of slope instability, the identification of the causes and the prediction of the evolution of the process over time. Two case studies are reported, showing how to apply GHM analyses of landslide mechanisms. After presenting the background methodology, this contribution proposes a research project aimed at the GHM characterization of landslides, soliciting the support of engineers in the selection of the most sustainable and effective mitigation strategies for different classes of landslides. This proposal is made on the assumption that only GHM classification of landslides can provide engineers with guidelines about instability processes which would be useful for the implementation of sustainable and effective landslide risk mitigation strategies. |
first_indexed | 2024-03-10T14:57:40Z |
format | Article |
id | doaj.art-34be6d8c8fc24838ad54cefa444e2539 |
institution | Directory Open Access Journal |
issn | 2076-3417 |
language | English |
last_indexed | 2024-03-10T14:57:40Z |
publishDate | 2020-11-01 |
publisher | MDPI AG |
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series | Applied Sciences |
spelling | doaj.art-34be6d8c8fc24838ad54cefa444e25392023-11-20T20:24:41ZengMDPI AGApplied Sciences2076-34172020-11-011022796010.3390/app10227960Towards A Geo-Hydro-Mechanical Characterization of Landslide Classes: Preliminary ResultsFederica Cotecchia0Francesca Santaloia1Vito Tagarelli2DICATECH, Polytechnic University of Bari, 4, 70126 Bari, ItalyIRPI, National Research Council, 4, 70126 Bari, ItalyDICATECH, Polytechnic University of Bari, 4, 70126 Bari, ItalyNowadays, landslides still cause both deaths and heavy economic losses around the world, despite the development of risk mitigation measures, which are often not effective; this is mainly due to the lack of proper analyses of landslide mechanisms. As such, in order to achieve a decisive advancement for sustainable landslide risk management, our knowledge of the processes that generate landslide phenomena has to be broadened. This is possible only through a multidisciplinary analysis that covers the complexity of landslide mechanisms that is a fundamental part of the design of the mitigation measure. As such, this contribution applies the “stage-wise” methodology, which allows for geo-hydro-mechanical (GHM) interpretations of landslide processes, highlighting the importance of the synergy between geological-geomorphological analysis and hydro-mechanical modeling of the slope processes for successful interpretations of slope instability, the identification of the causes and the prediction of the evolution of the process over time. Two case studies are reported, showing how to apply GHM analyses of landslide mechanisms. After presenting the background methodology, this contribution proposes a research project aimed at the GHM characterization of landslides, soliciting the support of engineers in the selection of the most sustainable and effective mitigation strategies for different classes of landslides. This proposal is made on the assumption that only GHM classification of landslides can provide engineers with guidelines about instability processes which would be useful for the implementation of sustainable and effective landslide risk mitigation strategies.https://www.mdpi.com/2076-3417/10/22/7960landslide mechanismphenomenological interpretationnumerical modellinglandslide risklandslide classificationsustainable mitigation measures |
spellingShingle | Federica Cotecchia Francesca Santaloia Vito Tagarelli Towards A Geo-Hydro-Mechanical Characterization of Landslide Classes: Preliminary Results Applied Sciences landslide mechanism phenomenological interpretation numerical modelling landslide risk landslide classification sustainable mitigation measures |
title | Towards A Geo-Hydro-Mechanical Characterization of Landslide Classes: Preliminary Results |
title_full | Towards A Geo-Hydro-Mechanical Characterization of Landslide Classes: Preliminary Results |
title_fullStr | Towards A Geo-Hydro-Mechanical Characterization of Landslide Classes: Preliminary Results |
title_full_unstemmed | Towards A Geo-Hydro-Mechanical Characterization of Landslide Classes: Preliminary Results |
title_short | Towards A Geo-Hydro-Mechanical Characterization of Landslide Classes: Preliminary Results |
title_sort | towards a geo hydro mechanical characterization of landslide classes preliminary results |
topic | landslide mechanism phenomenological interpretation numerical modelling landslide risk landslide classification sustainable mitigation measures |
url | https://www.mdpi.com/2076-3417/10/22/7960 |
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