Skip to main content

From Geological to Lithological Maps—Exploring Differential Erosion to Improve Lithological Information for Landslide Susceptibility Assessment

  • Conference paper
  • First Online:
Advances in Natural Hazards and Volcanic Risks: Shaping a Sustainable Future (NATHAZ 2022)

Abstract

For landslide susceptibility assessment, lithology information is often extrapolated from official geological maps, which do not allow a direct spatial transformation into a detailed lithological map. To overcome this limitation, a study was made for the Grande da Pipa River basin, Portugal, to detail the existing geological maps, keeping the units’ age sequence but separating the main lithological types. In addition, it explored supplementary cartographic information (e.g., slope angle) to infer the boundaries of lithological units using differential erosion and associated morphological interpretation criteria. Finally, the lithological map produced was compared with the official geological map using sensitive analysis and different partitions of a historical landslide inventory. The results consistently record improved predictive capacity for landslide susceptibility if more detailed lithological maps are used instead of the commonly available geological maps.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 249.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Cruden, D. M., & Varnes, D. J. (1996). Landslide types and processes. In A. K. Turner, & R. L. Schuster (Eds.), Landslides investigation and mitigation. Transportation research board. National Academic Press, Washington DC, Special Report (Vol. 247, pp. 36–75).

    Google Scholar 

  • Fonseca, R. (2020). Determinação da suscetibilidade à ocorrência de instabilidades em vertente à escala regional com métodos de base física. Faculdade de Ciências, Universidade de Lisboa, Lisboa (MSc Dissertation).

    Google Scholar 

  • Henriques, C., Zêzere, J. L., & Marques, F. (2015). The role of the lithological setting on the landslide pattern and distribution. Engineering Geology, 189, 17–31.

    Article  Google Scholar 

  • Kullberg, J. C., Rocha, R. B., Soares, A. F., Rey, J., Terrinha, P., Callapez, P., & Martins, L. (2006). A Bacia Lusitaniana: Estratigrafia, Paleogeografia e Tectónica. In R. Dias, A. Araújo, P. Terrinha, J.C. Kullberg (Eds.), Geologia de Portugal no contexto da Ibéria. Universidade de Évora (pp. 317–368).

    Google Scholar 

  • Lajas, S. M. A. (2016). Integração de métodos estatístico e determinístico para a avaliação da suscetibilidade a deslizamentos superficiais. IGOT, Universidade de Lisboa, Lisboa (MSc Dissertation).

    Google Scholar 

  • Oliveira, S. C., Zêzere, J. L., Catalão, J., & Nico, G. (2015). The contribution of PSInSAR interferometry to landslide hazard in weak rock-dominated areas. Landslides, 12, 703–719.

    Article  Google Scholar 

  • Oliveira, S. C., Zêzere, J. L., Lajas, S., & Melo, R. (2017). Combination of statistical and physically based methods to assess shallow slide susceptibility at the basin scale. Natural Hazards and Earth Systems Sciences, 17, 1091–1109.

    Article  Google Scholar 

  • Pimenta, R. S. G. G. (2011). Avaliação da suscetibilidade à ocorrência de movimentos de vertente com métodos de base física. Faculdade de Ciências, Universidade de Lisboa, Lisboa (MSc Dissertation).

    Google Scholar 

  • Yin, K., & Yan, T. (1988). Statistical prediction models for slope instability of metamorphosed rocks. In C. Bonnard (Ed.), Landslides: Proceedings of the Fifth International Symposium on Landslides, International Symposium on Landslides, Lausanne (Vol. 3, pp. 1269–1272).

    Google Scholar 

  • Zbyszewski, G., & Assunção, C. T. (1965). Notícia explicativa da folha 30‐D (Alenquer). Carta Geológica de Portugal (1:50 000). Serviços Geológicos de Portugal, Lisboa.

    Google Scholar 

Download references

Acknowledgements

This work is funded by FCT—Portuguese Foundation for Science and Technology, I.P., through the project BeSafeSlide—Landslide Early Warning soft technology prototype to improve community resilience and adaptation to environmental change (PTDC/GES-AMB/30052/2017) and through national funds (PIDDAC) by the Research Units UIDB/00295/2020, UIDP/00295/2020 and FCT-UIB/50019/2020-IDL.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sérgio C. Oliveira .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Oliveira, S.C., Melo, R., Marques, F., Fonseca, R., Pimenta, R., Zêzere, J.L. (2023). From Geological to Lithological Maps—Exploring Differential Erosion to Improve Lithological Information for Landslide Susceptibility Assessment. In: Malheiro, A., Fernandes, F., Chaminé, H.I. (eds) Advances in Natural Hazards and Volcanic Risks: Shaping a Sustainable Future. NATHAZ 2022. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-031-25042-2_20

Download citation

Publish with us

Policies and ethics