Abstract
The Tagus River left margin slopes (Almada County, Portugal) are rainfall triggered landslide-prone areas, which are a serious threat to life and property. To improve knowledge on this topic, a study on landslide susceptibility assessment and mapping was carried out using simple statistical and physically based methods but using improved databases on geology and land use mapping. The statistically-based information value was used to relate an inventory of landslides with the landslides predisposing factors slope angle, lithology, aspect, curvatures, Topographic Wetness Index and land use. The physically-based methods were the SHALSTAB hydrological module coupled with an infinite slope stability model complete solution. The model results were validated against the landslides inventory using ROC curves and provided values of the Area Under the Curve for the Information value (0.90) higher than those of the infinite slope solution (0.80). These differences raise questions on the influence of database and model selection on the reliability of results. The used approaches, which require a careful analysis of the input data, while providing different results, had a satisfactory global performance, being adequate for the landslide susceptibility assessment at regional scale and relevant tools for hazard prevention.
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References
Beven KJ, Kirkby MJ (1979) A physically based, variable contributing area model of basin hydrology. Hydrol Sci Bull 24:43–69
DEGAS/CMA (2005) Geological map of almada county, 1:20,000 scale. Accessible at Almada county, department of energy, climate, environment and mobility, Almada, Portugal
Marques F, Queiroz S, Gouveia L, Vasconcelos M (2017) Slope, scarp and sea cliff instability susceptibility mapping for planning regulations in Almada County, Portugal. IOP Conference Series: Earth and Environmental Science 95:022022
Montgomery D, Dietrich WE (1994) A physically based model for the topographic control on shallow landsliding. Water Resour Res 30(4):1153–1171
Sharma S (2002) Slope stability concepts. In Abramson LW, Lee TS, Sharma S, Boyce GM (eds) Slope stability and stabilization methods. John Wiley & Sons, New York, pp 329–461
Yin KL, Yan TZ (1988) Statistical prediction models for slope instability of metamorphosed rocks. In: Bonnard C (ed) Landslides, Proceeding of 5th International Symposium Landslides Lausanne, Switzerland, Balkema, Rotterdam, vol 2, pp 1269–1272
Acknowledgements
Publication supported by FCT- project UID/GEO/50019/2019—Instituto Dom Luiz and by FCT-project BeSafeSlide, PTDC/GES-AMB/30052/2017. Acknowledgements are due to the two anonymous reviewers which helped to improve the manuscript.
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Marques, F., Queiroz, S., Gouveia, L., Vasconcelos, M. (2020). Statistical and Physically-Based Rainfall Triggered Landslides Susceptibility Assessment in the Tagus River Left Margin Basins, Almada County (Portugal). In: Fernandes, F., Malheiro, A., Chaminé, H. (eds) Advances in Natural Hazards and Hydrological Risks: Meeting the Challenge. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-030-34397-2_3
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DOI: https://doi.org/10.1007/978-3-030-34397-2_3
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