Skip to main content

Advertisement

SpringerLink
Log in

Preliminary landslide susceptibility zonation using GIS-based fuzzy logic in Vitória, Brazil

  • Original Article
  • Published:
Environmental Earth Sciences Aims and scope Submit manuscript

Abstract

This paper presents the application of geographic information system (GIS)-based fuzzy logic to infer landslide susceptibility for a preliminary mapping of Vitória, Espírito Santo, Brazil. Input spatial layers derived from a digital elevation model, roads, land-use, and geotechnical type were classified, and previous geological accident occurrences were summarized for each class. The fuzzy membership functions and fuzzy rules were extracted by determining the landslide frequency ratio for each class of conditioning factors of elevation, slope, profile and plan curvature, aspect, distance to drainage lines, and distance to roads. The analytic hierarchy process was applied to rank classes of land-use and geotechnical type based on expert knowledge. The spatial layers were combined by fuzzy overlay procedures in a GIS and results were compared with a weighted mean method. The results from the fuzzy and weighted mean methods were also compared with previous geological–geotechnical risk maps, providing statistics to assess the best options from different viewpoints. One advantage of this method is that it enables spatial data layers with discrete and continuous data to be used as input in a fuzzy inference system, taking into account both knowledge of previous events and expert knowledge.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  • Aksoy B, Ercanoglu M (2012) Landslide identification and classification by object-based image analysis and fuzzy logic: an example from the Azdavay region (Kastamonu, Turkey). Comput Geosci 38(1):87–98

    Article  Google Scholar 

  • Akgun A, Dag S, Bulut F (2008) Landslide susceptibility mapping for a landslide-prone area (Findikli, NE of Turkey) by likelihood frequency ratio and weighted linear combination models. Environ Geol 54:1127–1143

    Article  Google Scholar 

  • Bortoloti FD (2012) Redes neurais com topologias otimizadas aplicadas na modelagem de dados geotécnicos e pluviométricos para predição de deslizamentos de solo. Mestrado, Universidade Federal do Espírito Santo, Vitória

  • Brasil, Ministério das Cidades (2006) Treinamentos de técnicos municipais para o mapeamento e gerenciamento de áreas urbanas com risco de escorregamentos, de enchente e de áreas contaminadas. In: Programa de Prevenção e Erradicação de Riscos, Secretaria de Programas Urbanos. disponível no site. http://www.cidades.gov.br, acessado em junho de 2006

  • Castro Junior RM, Bortoloti FD, Glória KS, Lopes LCFL, Saquetto Junior A (2011) Aplicação das ferramentas ArcGIS e Rockworks como apoio a geração de elementos para elaboração da carta geotécnica do município de Vitória-ES. In: \(13^{o}\) Congresso de Geologia de Engenharia e Ambiental, São Paulo, SP. ABGE

  • Cervi F, Berti M, Borgatti L, Ronchetti F, Manenti F, Corsini A (2010) Comparing predictive capability of statistical and deterministic methods for landslide susceptibility mapping: a case study in the northern Apennines (Reggio Emilia Province, Italy). Landslides 8:12

    Google Scholar 

  • Ercanoglu M, Temiz FA (2011) Application of logistic regression and fuzzy operators to landslide susceptibility assessment in Azdavay (Kastamonu, Turkey). Environ Earth Sci 64(4):949–964

    Article  Google Scholar 

  • Hasekioğulları GD, Ercanoglu M (2012) A new approach to use AHP in landslide susceptibility mapping: a case study at Yenice (Karabuk, NW Turkey). Nat Hazards 63(2):1157–1179

    Article  Google Scholar 

  • Instituto de Pesquisa Tecnológica (IPT) (1980) Instabilidade da Serra do Mar no Estado de São Paulo, Situações de Risco, Ações Necessárias Secretaria de Ciência e Tecnologia-Secretaria do Meio Ambiente, vol I

  • Intarawichian N, Dasananda S (2011) Frequency ratio model based landslide susceptibility mapping in lower Mae Chaem watershed, Northern Thailand. Environ Earth Sci 64(2271–2285):2011

    Google Scholar 

  • Kannan M, Saranathan E, Anabalagan R (2013) Landslide vulnerability mapping using frequency ratio model: a geospatial approach in Bodi-Bodimettu Ghat section, Theni district, Tamil Nadu, India. Arab J Geosci 6(2901–2913):2013

    Google Scholar 

  • Kanungo DP, Arora MK, Sarkar S, Gupta RP (2009) Landslide susceptibility zonation (LSZ) mapping—a review. J South Asia Disaster Stud 2(1):81–106

    Google Scholar 

  • Kayastha P, Dhital M, De Smedt F (2013) Application of the analytical hierarchy process (AHP) for landslide susceptibility mapping: a case study from the Tinau watershed, west Nepal. Comput Geosci 52:398–408

    Article  Google Scholar 

  • Kohavi R, Provost F (1998) Glossary of terms. Spec Issue Appl Mach Learn Knowl Discov Process 30:271–274

    Google Scholar 

  • Lee S (2006) Application and verification of fuzzy algebraic operators to landslide susceptibility mapping. Environ Geol 52(4):615–623

    Article  Google Scholar 

  • Mamdani EH (1974) Application of fuzzy algorithms for control of simple dynamic plant. Proc Inst Electr Eng 121(12):1585–1588

    Article  Google Scholar 

  • Mamdani EH, Assilian S (1999) An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller. Int J Hum–Comput Stud 51(2):135–147

    Article  Google Scholar 

  • Moghaddam R (2013) Landslide susceptibility mapping for the Urmia Lake basin, Iran: a multi-criteria evaluation approach using GIS. Int J Environ 7(2):319–336

    Google Scholar 

  • Mondal S, Maiti R (2014) Integrating the analytical hierarchy process (AHP) and the frequency ratio (FR) model in landslide susceptibility mapping of Shiv-khola watershed, Darjeeling Himalaya. Int J Disaster Risk Sci 4(4):200–212

    Article  Google Scholar 

  • Moradi M, Bazyar MH, Mohammadi Z (2012) GIS-based landslide susceptibility mapping by AHP method, a case study, Dena City, Iran. J Basic Appl Sci Res 2(7):6715–6723

    Google Scholar 

  • Oh H-J, Pradhan B (2011) Application of a neuro-fuzzy model to landslide susceptibility mapping for shallow landslides in a tropical hilly area. Comput Geosci 37(9):1264–1276

    Article  Google Scholar 

  • Pourghasemi HR, Mohammady M, Pradhan B (2012a) Landslide susceptibility mapping using index of entropy and conditional probability models in GIS: Safarood Basin, Iran. CATENA 97:71–84

    Article  Google Scholar 

  • Pourghasemi HR, Pradhan B, Gokceoglu C (2012b) Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran. Nat Hazards 63(2):965–996

    Article  Google Scholar 

  • Pourghasemi HR, Moradi HR, Fatemi Aghda SM, Gokceoglu C, Pradhan B (2014) GIS-based landslide susceptibility mapping with probabilistic likelihood ratio and spatial multi-criteria evaluation models (North of Tehran, Iran). Arab J Geosci 7(5):1857–1878

  • Powers D (2011) Evaluation: from precision, recall and \(F\)-measure to ROC, informedness, markedness and correlation. J Mach Learn Technol 2:37–63

    Google Scholar 

  • Pradhan B, Lee S, Buchroithner MF (2009) Use of geospatial data and fuzzy algebraic operators to landslide-hazard mapping. Appl Geomat 1(1–2):3–15

    Article  Google Scholar 

  • Pradhan B (2010a) Landslide susceptibility mapping of a catchment area using frequency ratio, fuzzy logic and multivariate logistic regression approaches. J Indian Soc Remote Sens 38:301–320

  • Pradhan B (2010b) Manifestation of an advanced fuzzy logic model coupled with geo-information techniques to landslide susceptibility mapping and their comparison with logistic regression modelling. Environ Ecol Stat 18(3):471–493

  • Pradhan B (2010c) Use of GIS-based fuzzy logic relations and its cross application to produce landslide susceptibility maps in three test areas in Malaysia. Environ Ecol Stat 63(2):329–349

  • Regmi NR, Giardino JR, Vitek JD (2010) Assessing susceptibility to landslides: using models to understand observed changes in slopes. Geomorphology 122(1–2):25–38

    Article  Google Scholar 

  • Regmi AD, Yoshida K, Pourghasemi HR, Dhital MR (2014) Landslide susceptibility mapping along Bhalubang-Shiwapur area of mid-Western Nepal using frequency ratio and conditional probability models. J Mt Sci 11:1266–1285

    Article  Google Scholar 

  • Saaty T (1977) A scaling method for priorities in hierarchical structures. J Math Psychol 15:234–281

    Article  Google Scholar 

  • Shahabi H, Khezri S, Ahmad BB, Allahvirdiasl H (2012) Application of satellite images and fuzzy set theory in landslide hazard mapping in Central Zab basin. J Appl Phys 1(4):17–24

    Google Scholar 

  • Shahabi H, Hashim M, Bin B (2015) Remote sensing and GIS-based landslide susceptibility mapping using frequency ratio, logistic regression, and fuzzy logic methods at the Central Zab basin. Iran. Earth Environ Sci

  • Solaimani K, Mousavi Seyedeh Zohreh, Kavian Ataollah (2013) Landslide susceptibility mapping based on frequency ratio and logistic regression models. Arab J Geosci 6(7):2557–2569

    Article  Google Scholar 

  • Sujatha ER, Rajamanickam V (2011) Landslide susceptibility mapping of Tevankarai Ar sub-watershed, Kodaikkanal taluk, India, using weighted similar choice fuzzy model. Nat Hazards 59(1):401–425

    Article  Google Scholar 

  • Tien Bui D, Pradhan B, Lofman O, Revhaug I, Dick OB (2012) Landslide susceptibility mapping at Hoa Binh province (Vietnam) using an adaptive neuro-fuzzy inference system and GIS. Comput Geosci 45:199–211

    Article  Google Scholar 

  • Valeriano MM, Carvalho Júnior OA (2003) Geoprocessamento de Modelos Digitais de Elevação para Mapeamento da Curvatura horizontal em Microbacias geoprocessing of digital elevation models for mapping plan curvature in watersheds. Revi Bras de Geomorfol Ano 4(1):17–29

    Google Scholar 

  • Yalcin A (2008) GIS-based landslide susceptibility mapping using analytical hierarchy process and bivariate statistics in Ardesen (Turkey): comparisons of results and confirmations. CATENA 72(1):1–12

    Article  Google Scholar 

  • Youssef AM, Al-Kathery M, Pradhan B (2015) Landslide susceptibility mapping at Al-Hasher area, Jizan (Saudi Arabia) using GIS-based frequency ratio and index of entropy models. Geosci J  19(1):113–134

  • Youssef AM (2015) Landslide susceptibility delineation in the Ar-Rayth area, Jizan, Kingdom of Saudi Arabia, using analytical hierarchy process, frequency ratio, and logistic regression models. Earth Environ Sci

  • Zadeh L (1965) Fuzzy sets. Inf Control 8:338–352

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Federal University of Espírito Santo, Vitória, Brazil

    F. D. Bortoloti, R. M. Castro Junior, L. C. Araújo & M. G. B. de Morais

Authors
  1. F. D. Bortoloti
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. R. M. Castro Junior
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. L. C. Araújo
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. M. G. B. de Morais
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to F. D. Bortoloti.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bortoloti, F.D., Castro Junior, R.M., Araújo, L.C. et al. Preliminary landslide susceptibility zonation using GIS-based fuzzy logic in Vitória, Brazil. Environ Earth Sci 74, 2125–2141 (2015). https://doi.org/10.1007/s12665-015-4200-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12665-015-4200-6

Keywords

Search

Navigation