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Characterisation of the Susceptibility to Slope Movements in the Arribes Del Duero Natural Park (Spain)

Author

Listed:
  • Leticia Merchán

    (Department of Soil Sciences, Faculty of Agricultural and Environmental Sciences, University of Salamanca, Filiberto Villalobos Avenue, 119, 37007 Salamanca, Spain)

  • Antonio Martínez-Graña

    (Department of Geology, Faculty of Sciences, Merced Square, University of Salamanca, 37008 Salamanca, Spain)

  • Carlos E. Nieto

    (Department of Geology, Faculty of Sciences, Merced Square, University of Salamanca, 37008 Salamanca, Spain)

  • Marco Criado

    (Department of Soil Sciences, Faculty of Agricultural and Environmental Sciences, University of Salamanca, Filiberto Villalobos Avenue, 119, 37007 Salamanca, Spain)

  • Teresa Cabero

    (Department of Statistics, Faculty of Sciences, University of Salamanca, 37008 Salamanca, Spain)

Abstract

In recent decades, natural disasters have increased drastically, with slope movements being the most damaging geological hazard, causing thousands of deaths and considerable economic losses. To reduce these losses, it is necessary to carry out cartographies that spatially delimit these risks, preventing and mitigating the effects through the analysis of susceptibility in areas of great environmental value, as is the case of the Arribes del Duero Natural Park. For this purpose, different statistical methods combined with Geographic Information Systems have been developed. The susceptibility assessment methodology is carried out by integrating different thematic layers: lithology, geomorphology (slopes, curvature, aspect), hydrogeology and vegetation, performing map algebra and taking into consideration their weighting using deterministic methods (analytical hierarchy method). The susceptibility results are grouped into Very High, High, Medium, Low and Very Low so that the areas of Very High susceptibility correspond to areas of the high slope, without vegetation, south facing, with a lithology of quartzites, metapelites, and gneisses (canyons, steep valleys) and, in the case of very low susceptibility, with a lithology of quartzites, metapelites, and gneisses, On the contrary, the sectors of lower susceptibility coincide with flat areas, denser vegetation, north facing, with a lithology of conglomerates, pebbles, sands and clays, such as erosion surfaces or valley bottoms. The analysis carried out in this current investigation will allow the territorial delimitation of problem areas and the establishment of risk mitigation and management measures.

Suggested Citation

  • Leticia Merchán & Antonio Martínez-Graña & Carlos E. Nieto & Marco Criado & Teresa Cabero, 2023. "Characterisation of the Susceptibility to Slope Movements in the Arribes Del Duero Natural Park (Spain)," Land, MDPI, vol. 12(8), pages 1-18, July.
  • Handle: RePEc:gam:jlands:v:12:y:2023:i:8:p:1513-:d:1206287
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    References listed on IDEAS

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    1. Leticia Merchán & Antonio Miguel Martínez-Graña & Pilar Alonso Rojo & Marco Criado, 2023. "Water Erosion Risk Analysis in the Arribes del Duero Natural Park (Spain) Using RUSLE and GIS Techniques," Sustainability, MDPI, vol. 15(2), pages 1-15, January.
    2. Antonio Miguel Martínez-Graña & José Luis Goy & José Ángel González-Delgado & Raquel Cruz & Juana Sanz & Carmen Cimarra & Irene De Bustamante, 2018. "3D Virtual Itinerary in the Geological Heritage from Natural Areas in Salamanca-Ávila-Cáceres, Spain," Sustainability, MDPI, vol. 11(1), pages 1-17, December.
    3. Ulrich Kamp & Lewis Owen & Benjamin Growley & Ghazanfar Khattak, 2010. "Back analysis of landslide susceptibility zonation mapping for the 2005 Kashmir earthquake: an assessment of the reliability of susceptibility zoning maps," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 54(1), pages 1-25, July.
    4. Thomas L. Saaty, 2013. "The Modern Science of Multicriteria Decision Making and Its Practical Applications: The AHP/ANP Approach," Operations Research, INFORMS, vol. 61(5), pages 1101-1118, October.
    5. Martin Bednarik & Işık Yilmaz & Marian Marschalko, 2012. "Landslide hazard and risk assessment: a case study from the Hlohovec–Sered’ landslide area in south-west Slovakia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 64(1), pages 547-575, October.
    6. Clemente Irigaray & Francisco Lamas & Rachid El Hamdouni & Tomás Fernández & José Chacón, 2000. "The Importance of the Precipitation and the Susceptibility of the Slopes for the Triggering of Landslides Along the Roads," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 21(1), pages 65-81, January.
    7. Thomas L. Saaty & Luis G. Vargas, 2012. "Models, Methods, Concepts & Applications of the Analytic Hierarchy Process," International Series in Operations Research and Management Science, Springer, edition 2, number 978-1-4614-3597-6, December.
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    1. Hongyi Guo & A. M. Martínez-Graña, 2024. "Susceptibility of Landslide Debris Flow in Yanghe Township Based on Multi-Source Remote Sensing Information Extraction Technology (Sichuan, China)," Land, MDPI, vol. 13(2), pages 1-21, February.

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