IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v121y2025i4d10.1007_s11069-024-06956-9.html
   My bibliography  Save this article

Dynamics of mass movements in an urban basin: a case study in the Fradinhos drainage Basin, Vitória, Espírito Santo, Brazil

Author

Listed:
  • J. Oliveira

    (Federal University of Espírito Santo)

  • J. Effgen

    (Federal University of Espírito Santo)

  • B. Vieira

    (University of São Paulo)

  • T. Silva

    (Federal University of Rio de Janeiro)

  • E. Marchioro

    (Federal University of Espírito Santo)

Abstract

Landslides are a widespread problem in Brazil due to the heavy rainfall typical of hot and humid tropical environments. In urban areas, landslides can be catastrophic with significant economic and social losses, making it crucial to understand the local dynamics as a preventive measure. Therefore, the aim is to identify the spatial distribution of areas susceptible to shallow translational landslides in the Fradinhos Hydrographic Basin (FHB), located in the municipality of Vitória, Espírito Santo State (ES, Brazil), since a significant number of such morphodynamical processes are recorded in this basin. Another aspect that confirms the choice of this area is the fact that it has undergone a process of urban expansion, which has altered the geohydrogeomorphological conditions of the slopes. For the modelling, the Transient Rainfall Infiltration and Grid-based Regional Slope Stability (TRIGRS) model was selected and applied, analyzed in conjunction with geotechnical and hydrological data obtained in the field. The areas susceptible to translational landslides were modelled for a rainfall episode of 744 mm in 24 days (the highest monthly accumulation in the entire 60-year historical series (1961 to 2021), which occurred between 6 and 26 December 2013), which is considered an extreme climatic episode for the capital of Espírito Santo. The results show that 31% of the basin is unstable and another 69% is stable. According to the Municipal Master Plan, 86% of the territory is in an Environmental Protection Zone, 7% in a Special Zone of Social Interest and 6% in a Zone of Restricted Occupation. It should be emphasized that the preservation of the Environmental Protection Zone is of fundamental importance, as it forms a protective belt against the outbreak of shallow translational slides. It was also expected that the unstable areas (FS

Suggested Citation

  • J. Oliveira & J. Effgen & B. Vieira & T. Silva & E. Marchioro, 2025. "Dynamics of mass movements in an urban basin: a case study in the Fradinhos drainage Basin, Vitória, Espírito Santo, Brazil," 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. 121(4), pages 4683-4702, March.
  • Handle: RePEc:spr:nathaz:v:121:y:2025:i:4:d:10.1007_s11069-024-06956-9
    DOI: 10.1007/s11069-024-06956-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-024-06956-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11069-024-06956-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. D. J. Roncancio & A. C. Nardocci, 2016. "Social vulnerability to natural hazards in São Paulo, Brazil," 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. 84(2), pages 1367-1383, November.
    2. Juan Remondo & Alberto González & José De Terán & Antonio Cendrero & Andrea Fabbri & Chang-Jo Chung, 2003. "Validation of Landslide Susceptibility Maps; Examples and Applications from a Case Study in Northern Spain," 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. 30(3), pages 437-449, November.
    3. Masato Kobiyama & Aline Almeida Mota & Fernando Grison & Joana Nery Giglio, 2011. "Landslide influence on turbidity and total solids in Cubatão do Norte River, Santa Catarina, Brazil," 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. 59(2), pages 1077-1086, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. E. Rotigliano & C. Cappadonia & C. Conoscenti & D. Costanzo & V. Agnesi, 2012. "Slope units-based flow susceptibility model: using validation tests to select controlling factors," 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. 61(1), pages 143-153, March.
    2. C. Irigaray & T. Fernández & R. El Hamdouni & J. Chacón, 2007. "Evaluation and validation of landslide-susceptibility maps obtained by a GIS matrix method: examples from the Betic Cordillera (southern Spain)," 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. 41(1), pages 61-79, April.
    3. Omid Rahmati & Ali Haghizadeh & Hamid Reza Pourghasemi & Farhad Noormohamadi, 2016. "Gully erosion susceptibility mapping: the role of GIS-based bivariate statistical models and their comparison," 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. 82(2), pages 1231-1258, June.
    4. E. Rotigliano & V. Agnesi & C. Cappadonia & C. Conoscenti, 2011. "The role of the diagnostic areas in the assessment of landslide susceptibility models: a test in the sicilian chain," 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. 58(3), pages 981-999, September.
    5. Yi Chen & Zhicong Ye & Hui Liu & Ruishan Chen & Zhenhuan Liu & Hui Liu, 2021. "A GIS-Based Approach for Flood Risk Zoning by Combining Social Vulnerability and Flood Susceptibility: A Case Study of Nanjing, China," IJERPH, MDPI, vol. 18(21), pages 1-17, November.
    6. Jesse Dugan & Edson Gonçalves & Luciana Costa & Joisa Dutra & Rafael Souza & Salman Mohagheghi, 2025. "Social vulnerability to long-duration power outages in Brazil," 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. 121(3), pages 3123-3149, February.
    7. Jaime Bonachea & Juan Remondo & José Ramón Díaz De Terán & Alberto González‐Díez & Antonio Cendrero, 2009. "Landslide Risk Models for Decision Making," Risk Analysis, John Wiley & Sons, vol. 29(11), pages 1629-1643, November.
    8. Anna Małka, 2021. "Landslide susceptibility mapping of Gdynia using geographic information system-based statistical models," 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. 107(1), pages 639-674, May.
    9. Wang, Yong & Han, Linna & Ma, Xuejiao, 2022. "International tourism and economic vulnerability," Annals of Tourism Research, Elsevier, vol. 94(C).
    10. Helen Cristina Dias & Marcelo Fischer Gramani & Carlos Henrique Grohmann & Carlos Bateira & Bianca Carvalho Vieira, 2021. "Statistical-based shallow landslide susceptibility assessment for a tropical environment: a case study in the southeastern Brazilian coast," 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. 108(1), pages 205-223, August.
    11. Abazar Esmali Ouri & Mohammad Golshan & Saeid Janizadeh & Artemi Cerdà & Assefa M. Melesse, 2020. "Soil Erosion Susceptibility Mapping in Kozetopraghi Catchment, Iran: A Mixed Approach Using Rainfall Simulator and Data Mining Techniques," Land, MDPI, vol. 9(10), pages 1-18, October.
    12. Mohammad Ilbeigi & Sarath Chandra K. Jagupilla, 2020. "An Empirical Analysis of Association between Socioeconomic Factors and Communities’ Exposure to Natural Hazards," Sustainability, MDPI, vol. 12(16), pages 1-13, August.
    13. Francesca Vergari, 2015. "Assessing soil erosion hazard in a key badland area of Central Italy," 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. 79(1), pages 71-95, November.
    14. D. Costanzo & C. Cappadonia & C. Conoscenti & E. Rotigliano, 2012. "Exporting a Google Earth ™ aided earth-flow susceptibility model: a test in central Sicily," 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. 61(1), pages 103-114, March.
    15. Francisco Gutiérrez & Jesús Guerrero & Pedro Lucha, 2008. "Quantitative sinkhole hazard assessment. A case study from the Ebro Valley evaporite alluvial karst (NE Spain)," 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. 45(2), pages 211-233, May.
    16. Cristina Tarantino & Palma Blonda & Guido Pasquariello, 2007. "Remote sensed data for automatic detection of land-use changes due to human activity in support to landslide studies," 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. 41(1), pages 245-267, April.
    17. Kamila Pawluszek & Andrzej Borkowski, 2017. "Impact of DEM-derived factors and analytical hierarchy process on landslide susceptibility mapping in the region of Rożnów Lake, Poland," 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. 86(2), pages 919-952, March.
    18. Massimo Conforti & Pietro Aucelli & Gaetano Robustelli & Fabio Scarciglia, 2011. "Geomorphology and GIS analysis for mapping gully erosion susceptibility in the Turbolo stream catchment (Northern Calabria, Italy)," 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. 56(3), pages 881-898, March.
    19. Mária Barančoková & Matej Šošovička & Peter Barančok & Peter Barančok, 2021. "Predictive Modelling of Landslide Susceptibility in the Western Carpathian Flysch Zone," Land, MDPI, vol. 10(12), pages 1-28, December.
    20. Massimo Conforti & Gaetano Robustelli & Francesco Muto & Salvatore Critelli, 2012. "Application and validation of bivariate GIS-based landslide susceptibility assessment for the Vitravo river catchment (Calabria, south Italy)," 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. 61(1), pages 127-141, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:nathaz:v:121:y:2025:i:4:d:10.1007_s11069-024-06956-9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.