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Landslide susceptibility assessment of South Pars Special Zone, southwest Iran

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Abstract

This study assesses the landslide susceptibility of the South Pars Special Zone (SPSZ) region that is located in southwest Iran. For this purpose, a combinatorial method containing multi-criteria decision-making, likelihood ratio and fuzzy logic was applied in two levels (regional and local) at three critical zones (northwest, middle and southeast of the project area). The analysis parameters were categorised in seven main triggering factors such as climatology, geomorphology, geology, geo-structure, seismic activity, landslide prone areas and man-made activities which have different classes with multi-agent partnership correlations. Landslide susceptibility maps were prepared for these levels and zones after purified and enriched fuzzy trending runs were performed. According to the results of the risk-ability assessment of the landslide occurrences for SPSZ, the north part of the study area which includes the south edge of the Assalouyeh anticline and the southern part of the Kangan anticline were estimated as high-risk potential areas that were used in landslide hazard mitigation assessment and in land-use planning.

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(Adapted from Castellanos Abella and Van Westen 2007)

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(adapted from Nogol-sadat and Almasian 1993)

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(adapted from the Geological Survey of Iran 2009)

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(adapted from the Geological Survey of Iran 2009)

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References

  • Abdullah L (2013) Fuzzy multi criteria decision making and its applications: a brief review of category. Proc Soc Behav Sci 97:131–136

    Article  Google Scholar 

  • Abrahamson NN, Silva WJ (2008) NGA ground motion relations for the geometric mean horizontal component of peak and spectral ground motion parameters. PEER Report Draft v2. Pacific Earthquake Engineering Research Center, Berkeley, p 380

    Google Scholar 

  • Aghanabati A (2004) Geology of Iran. Geological Survey of Iran press, Tehran, p 708

    Google Scholar 

  • Akgun A (2012) A comparison of landslide susceptibility maps produced by logistic regression, multi-criteria decision, and likelihood ratio methods: a case study at İzmir, Turkey. Landslides 9:93–106

    Article  Google Scholar 

  • Akgun A, Bulut F (2007) GIS-based landslide susceptibility for Arsin-Yomra (Trabzon, North Turkey) region. Environ Geol 5(8):1377–1387

    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(6):1127–1143

    Article  Google Scholar 

  • Akgun A, Sezer EA, Nefeslioglu HA, Gokceoglu C, Pradhan B (2011) An easy-to-use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani fuzzy algorithm. Comput Geosci. https://doi.org/10.1016/j.cageo.2011.04.012

    Article  Google Scholar 

  • Ambraseys NN, Melville CP (1982) A history of Persian earthquakes. Cambridge earth science series. Cambridge Press, Cambridge, p 212

    Google Scholar 

  • Atkinson PM, Massari R (2011) Autologistic modelling of susceptibility to landsliding in the Central Apennines, Italy. Geomorphology 130:55–64

    Article  Google Scholar 

  • Ayalew L, Yamagishi H, Ugawa N (2004) Landslide susceptibility mapping using GIS-based weighted linear combination, the case in Tsugawa area of Agano River, Niigata Prefecture, Japan. Landslides 1:73–81

    Article  Google Scholar 

  • Azarafza M, Yarahmadi-Bafghi AR, Asghari-Kaljahi E, Bahmannia GR, Moshrefy-Far MR (2013) Stability analysis of jointed rock slopes using the key block method (Case study: Gas Flare Site in 6, 7 and 8 phases of South Pars Gas Complex). J Geotech Geol 9(3):169–185 (in Persian)

    Google Scholar 

  • Azarafza M, Asghari-Kaljahi E, Moshrefy-Far MR (2014a) Determination of geomechanical parameters of rock mass structure of the gas flare site in 6, 7 and 8 phases of South Pars Gas Complex. In: 32nd national & 1st international geosciences congress, Sari, Iran (in Persian)

  • Azarafza M, Asghari-Kaljahi E, Moshrefy-Far MR (2014b) Numerical modeling and stability analysis of shallow foundations located near slopes (case study: phase 8 gas flare foundations of South Pars gas complex). J Geotech Geol 10(2):92–99 (in Persian)

    Google Scholar 

  • Azarafza M, Nikoobakht S, Moshrefy-Far MR (2014c) Study of seismicity for Shahrekord quadrangle with emphasis on the seismic activation cause on an active fault in the studied area. J Tecton Struct 2(4):49–67 (in Persian)

    Google Scholar 

  • Azarafza M, Asghari-Kaljahi E, Akgün H (2017a) Assessment of discontinuous rock slope stability with block theory and numerical modeling: a case study for the South Pars Gas Complex, Assalouyeh, Iran. Environ Earth Sci 76(11):397

    Article  Google Scholar 

  • Azarafza M, Asghari-Kaljahi E, Akgün H (2017b) Numerical modeling of discontinuous rock slope utilizing the 3DDGM (Three Dimensional Discontinuity Geometrical Modeling) method. Bull Eng Geol Environ 76(3):989–1007

    Article  Google Scholar 

  • Berberian M (1995) Natural hazards and the first earthquake catalogue of Iran. Historical hazards in Iran prior to 1900, vol. 1. A UNESCO/IIEES Publication during UN/IDNDR, International Institute of Earthquake Engineering and Seismology, Tehran, p 603

    Google Scholar 

  • Boore DM, Atkinson GM (2008) Ground-motion prediction equations for the average horizontal component of PGA, PGV, and 5%-damped PSA at spectral periods between 0.01 s and 10.0 s. Earthq Spectra 24(1):99–138

    Article  Google Scholar 

  • Campbell KW, Bozorgnia Y (2012) 2012 update of the Campbell-Bozorgnia NGA ground motion prediction equations: a progress report. In: 15th WCEE, Lisboa

  • Cascini L (2008) Applicability of landslide susceptibility and hazard zoning at different scales. Eng Geol 102(3):164–177

    Article  Google Scholar 

  • Castellanos Abella EA, Van Westen CJ (2007) Qualitative landslide susceptibility assessment by multicriteria analysis: a case study from San Antonio del Sur, Guantanamo, Cuba. Geomorphology 94(3–4):453–466

    Google Scholar 

  • Chalkias C, Ferentinou M, Polykretis C (2014) GIS supported landslide susceptibility modeling at regional scale: an expert-based fuzzy weighting method. ISPRS Int J Geo Inf 3:523–539

    Article  Google Scholar 

  • Chiou BS, Youngs RR (2008) An NGA model for the average horizontal component of peak ground motion and response spectra. Earthq Spectra 24(1):173–215

    Article  Google Scholar 

  • Chung CJF, Fabbri AG (2003) Validation of spatial prediction models for landslide hazard mapping. Nat Hazards 30:451–472

    Article  Google Scholar 

  • Dadios EP (2012) Fuzzy logic—algorithms, techniques and implementations. InTech press, London, p 294

    Book  Google Scholar 

  • Dahal RK, Hasegawa S, Nonomura S, Yamanaka M, Masuda T, Nishino K (2008) GIS-based weights-of-evidence modelling of rainfall-induced landslides in small catchments for landslide susceptibility mapping. Environ Geol 54:311–324

    Article  Google Scholar 

  • Duman TY, Can T, Gokceoglu C, Nefeslioglu HA, Sonmez H (2006) Application of logistic regression for landslide susceptibility zoning of Cekmece Area, Istanbul, Turkey. Environ Geol 51:241–256

    Article  Google Scholar 

  • Einstein HH (2003) Uncertainty in rock mechanics and rock engineering-then and now. In: 10th ISRM congress, Sandton, South Africa

  • Eker AM, Dikmen M, Cambazoğlu S, Düzgün HSB, Akgün H (2012) Application of artificial neural network and logistic regression methods to landslide susceptibility mapping and comparison of the results for the Ulus District, Bartın. J Fac Eng Architect Gazi Univ 27(1):163–173

    Google Scholar 

  • Eker AM, Dikmen M, Cambazoğlu S, Düzgün HSB, Akgün H (2015) Evaluation and comparison of landslide susceptibility mapping methods: a case study for the Ulus District, Bartın, Northern Turkey. Int J Geogr Inf Sci 29(1):132–158

    Article  Google Scholar 

  • Ercanoğlu M, Gökçeoğlu C (2004) Use of fuzzy relations to produce landslide susceptibility map of a landslide prone area (West Black Sea Region, Turkey). Eng Geol 75(3):229–250

    Article  Google Scholar 

  • ESRI (2017) ArcGIS software version 10.4, international supplier of geographic information system software, web GIS and geodatabase management applications. https://www.esri.com/. Accessed 1 May 2017

  • Geological Survey of Iran (2009) Geological map of Kangan and Assalouyeh-scale: 1:250.000. Geological Survey of Iran Press, Tehran (in Persian)

    Google Scholar 

  • Harrison JF, Chang C, Liu C (2017) Identification of inventory-based susceptibility models for assessing landslide probability: a case study of the Gaoping River Basin, Taiwan. Geomatics Nat Hazards Risk 8(2):1730–1751. https://doi.org/10.1080/19475705.2017.1386236

    Article  Google Scholar 

  • Highland LM, Bobrowsky P (2008) The landslide handbook—a guide to understanding landslides: Reston, Virginia, U.S. Geological Survey Circular 1325, p 129

  • Idriss IM (2008) An NGA empirical model for estimating the horizontal spectra values generated by shallow crustal earthquakes. Earthq Spectra 24(1):217–242

    Article  Google Scholar 

  • International Institute of Earthquake Engineering and Seismology, IIEES (2017) Earthquake data from Assalouyeh Station for 100 Km radial. International Institute of Earthquake Engineering and Seismology. http://www.iiees.ac.ir/. Accessed 5 Oct 2017

  • Iran Meteorological Organization, IMO (2017) Climatological data from Assalouyeh station. The Iran Meteorological Organization. http://www.irimo.ir/. Accessed 5 Oct 2017

  • Jing C, Yiliang L, Qingjie Z (2015) GIS-based geostatistics and multi-criteria evaluation of steel casing failure. In: 3rd international conference on material, mechanical and manufacturing engineering (IC3ME), pp 1506–1511

  • Komac M (2006) A landslide susceptibility model using the analytical hierarchy process method and multivariate statistics in perialpine Slovenia. Geomorphology 74(1):17–28

    Article  Google Scholar 

  • Lee WHK, Meyers H, Shimazaki K (1988) Historical seismograms and earthquakes of the world. Academic, San Diego, p 527

  • Lee S, Ryu JH, Kim LS (2007) Landslide susceptibility analysis and its verification using likelihood ratio, logistic regression, and artificial neural network models: case study of Youngin. Korea Landslides 4(4):327–338

    Article  Google Scholar 

  • Malamud BD, Turcotte DL, Guzzetti F, Reichenbach P (2004) Landslides, earthquakes, and erosion. Earth Planet Sci Lett 229(1–2):45–59

    Article  Google Scholar 

  • Malczewski J (1999) GIS and multicriteria decision analysis. Wiley, New York, p 408

    Google Scholar 

  • Mamdani EH (1977) Application of fuzzy logic to approximate reasoning using linguistic synthesis. IEEE Trans Comput 26(12):1182–1191

    Article  Google Scholar 

  • Mamdani EH, Assilian S (1975) An experiment in linguistic synthesis with a fuzzy logic controller. Int J Man Mach Stud 7:1–13

    Article  Google Scholar 

  • MathWorks (2014) MATLAB, version R2014b. The MathWorks Inc., Natick

    Google Scholar 

  • Melchiorre C, Matteucci M, Azzoni A, Zanchi A (2008) Artificial neural networks and cluster analysis in landslide susceptibility zonation. Geomorphology 94:379–400

    Article  Google Scholar 

  • Nefeslioglu HA, Duman TY, Durmaz S (2008) Landslide susceptibility mapping for a part of tectonic Kelkit Valley (Eastern Black Sea region of Turkey). Geomorphology 94(3–4):401–418

    Article  Google Scholar 

  • Nefeslioglu HA, Sezer E, Gokceoglu C, Bozkır AS, Duman TY (2010) Assessment of landslide susceptibility by decision trees in the metropolitan area of Istanbul, Turkey. Math Probl Eng 2010:901095. https://doi.org/10.1155/2010/901095

    Article  Google Scholar 

  • Neuhäuser B, Damm B, Terhorst B (2012) GIS-based assessment of landslide susceptibility on the base of the weights-of-evidence model. Landslides 9:511–528

    Article  Google Scholar 

  • Nikoobakht S, Azarafza M (2016) Stability analysis and numerical modelling of toppling failure of discontinuous rock slope (a case study). J Geotech Geol 12(2):169–178

    Google Scholar 

  • Nogol-Sadat MA, Almasian A (1993) Tectonic map of Iran 1:1,000,000 treatise on the geology of Iran. Geological Survey of Iran, Tehran (in Persian)

    Google Scholar 

  • Okalp K, Akgün H (2016) National level landslide susceptibility assessment of Turkey utilizing public domain dataset. Environ Earth Sci 75(9):847

    Article  Google Scholar 

  • Othman AN, Wan Mohd Naim WM, Noraini S (2012) GIS based multi-criteria decision making for landslide hazard zonation. Proc Soc Behav Sci 35:595–602

    Article  Google Scholar 

  • Papathanassiou G, Valkaniotis S, Ganas A, Pavlides S (2013) GIS-based statistical analysis of the spatial distribution of earthquake-induced landslides in the island of Lefkada, Ionian Islands. Greece Landslides 10:771–783

    Article  Google Scholar 

  • Pereira S, Garcia RAC, Zêzere J, Oliveira S, Silva M (2016) Landslide quantitative risk analysis of buildings at the municipal scale based on a rainfall triggering scenario. Geomat Nat Hazards Risk 8(2):624–648. https://doi.org/10.1080/19475705.2016.1250116

    Article  Google Scholar 

  • Porkermani M, Arian M (1988) Seismicity of Iran. Shahid Beheshti University Press, Tehran, p 279

    Google Scholar 

  • Rossi M, Guzzetti F, Reichenbach P, Mondini AC, Peruccacci S (2010) Optimal landslide susceptibility zonation based on multiple forecasts. Geomorphology 114(3):129–142

    Article  Google Scholar 

  • Ruff M, Czurda K (2008) Landslide susceptibility analysis with a heuristic approach in the Eastern Alps (Vorarlberg, Austria). Geomorphology 94:314–324

    Article  Google Scholar 

  • Saaty TL (1977) A scaling method for priorities in hierarchical structures. J Math Psychol 15(3):234–281

    Article  Google Scholar 

  • Saaty TL (1980) The analytic hierarchy process: planning, priority setting, resource allocation (decision making series). McGraw-Hill, New York, p 287

    Google Scholar 

  • Saaty TL (2000) Fundamentals of decision making and priority theory, 1st edn. RWS Publications, Pittsburgh, p 477

    Google Scholar 

  • Saaty TL, Peniwati K (2007) Group decision making: drawing out and reconciling differences. RWS Publications, Pittsburgh, p 385

    Google Scholar 

  • Saaty T, Vargas LLG (2012) Models, methods, concepts & applications of the analytic hierarchy process (international series in operations research & management science), 2nd edn. p 346

  • Shearer PM (2009) Introduction to seismology, 2nd edn. Cambridge University Press, Cambridge, p 412

    Book  Google Scholar 

  • Sivanandam SN, Sumathi S, Deepa SN (2007) Introduction to fuzzy logic using MATLAB. Springer, Berlin, p 430

    Book  Google Scholar 

  • Soeters R, Van Westen CJ (1996) Slope instability recognition, analysis and zonation (Chap. 8). In: Turner AK, Schuster RL (eds) Landslides: investigations and mitigation, National Academy Press. Transportation Research Board Special Report, vol 247. National Research Council, Washington

    Google Scholar 

  • Terlien MT, Van Westen CJ, Van Asch TW (1995) Deterministic modelling in GIS-based landslide hazard assessment. In: Carrara A, Guzzetti F (eds) Geographical information systems in assessing natural hazards. Kluwer Academic Publishers, Dordrecht, pp 57–77

    Chapter  Google Scholar 

  • Vahidnia MH, Alesheikh AA, Alimohammadi A, Hosseinali F (2010) A GIS-based neurofuzzy procedure for integrating knowledge and data in landslide susceptibility mapping. Comput Geosci 36(9):101–1114

    Article  Google Scholar 

  • Varnes DJ (1978) Slope movement types and processes. Landslide analysis and control. Transportation Research Board, National Academy Sciences, Washington

    Google Scholar 

  • Voogd H (1983) Multicriteria evaluation for urban and regional planning. Pion Ltd, London, p 370

    Google Scholar 

  • Wyllie DC, Mah CW (2004) Rock slope engineering: civil and mining, 4th edn. Spon Press, Taylor & Francis Group, New York, p 456

    Google Scholar 

  • Yager RR, Zadeh LA (1992) An Introduction to fuzzy logic applications in intelligent systems. Springer Science + Business Media, New York, p 357

    Book  Google Scholar 

  • Yilmaz I (2009) Landslide susceptibility using frequency ratio, logistic regression, artificial neural networks and their comparison: a case study from Kat landslides (Tokat-Turkey). Comput Geosci 35(6):1125–1138

    Article  Google Scholar 

  • Zadeh LA (1965) Fuzzy sets. Inf Control 8:338–353

    Article  Google Scholar 

  • Zêzere JL (2002) Landslide susceptibility assessment considering landslide typology, a case study in the area north of Lisbon (Portugal). Nat Hazards Earth Syst Sci 2:73–82

    Article  Google Scholar 

  • Zêzere JL, Pereira S, Melo R, Oliveira SC, Garcia RAC (2017) Mapping landslide susceptibility using data-driven methods. Sci Total Environ 589:250–267

    Article  Google Scholar 

  • Zůvala R, Fišerová E, Marek L (2016) Mathematical aspects of the kriging applied on landslide in Halenkovice (Czech Republic). Open Geosci 8:275–288

    Article  Google Scholar 

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Acknowledgements

The authors wish to thank the South Pars Gas Complex management for giving permission to perform field studies.

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Authors and Affiliations

  1. Department of Geology, University of Isfahan, Isfahan, Iran

    Mohammad Azarafza & Akbar Ghazifard

  2. Geotechnology Unit, Department of Geological Engineering, Middle East Technical University, Ankara, Turkey

    Haluk Akgün

  3. Department of Earth Sciences, University of Tabriz, Tabriz, Iran

    Ebrahim Asghari-Kaljahi

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  1. Mohammad Azarafza
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Correspondence to Akbar Ghazifard.

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Azarafza, M., Ghazifard, A., Akgün, H. et al. Landslide susceptibility assessment of South Pars Special Zone, southwest Iran. Environ Earth Sci 77, 805 (2018). https://doi.org/10.1007/s12665-018-7978-1

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