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Landslides Susceptibility Assessment Based on GIS Statistical Bivariate Analysis in the Hills Surrounding a Metropolitan Area

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  • Paul Sestraș

    (Department of Terrestrial Measurement and Cadastre, Faculty of Civil Engineering, Technical University of Cluj-Napoca, 400020 Cluj-Napoca, Romania
    Faculty of Land Reclamation and Environmental Engineering, University of Agronomic Sciences and Veterinary Medicine Bucharest, 011464 Bucharest, Romania)

  • Ștefan Bilașco

    (Faculty of Geography, Babeş-Bolyai University, 400006 Cluj-Napoca, Romania
    Cluj-Napoca Subsidiary Geography Section, Romanian Academy, 400015 Cluj-Napoca, Romania)

  • Sanda Roșca

    (Faculty of Geography, Babeş-Bolyai University, 400006 Cluj-Napoca, Romania)

  • Sanda Naș

    (Department of Terrestrial Measurement and Cadastre, Faculty of Civil Engineering, Technical University of Cluj-Napoca, 400020 Cluj-Napoca, Romania)

  • Mircea V. Bondrea

    (Department of Terrestrial Measurement and Cadastre, Faculty of Civil Engineering, Technical University of Cluj-Napoca, 400020 Cluj-Napoca, Romania)

  • Raluca Gâlgău

    (Department of Terrestrial Measurement and Cadastre, Faculty of Civil Engineering, Technical University of Cluj-Napoca, 400020 Cluj-Napoca, Romania)

  • Ioel Vereș

    (Department of Terrestrial Measurement and Cadastre, Faculty of Civil Engineering, Technical University of Cluj-Napoca, 400020 Cluj-Napoca, Romania
    Faculty of Mines, University of Petrosani, 332006 Petrosani, Romania)

  • Tudor Sălăgean

    (Faculty of Horticulture, University of Agricultural Sciences and Veterinary Medicine of Cluj-Napoca, 400372 Cluj-Napoca, Romania)

  • Velibor Spalević

    (Geography Department, Faculty of Philosophy, University of Montenegro, 81400 Niksic, Montenegro)

  • Sorin M. Cîmpeanu

    (Faculty of Land Reclamation and Environmental Engineering, University of Agronomic Sciences and Veterinary Medicine Bucharest, 011464 Bucharest, Romania)

Abstract

In the highly populated analysed territory, the expansion of the construction zones and the pressure imposed on the slopes by the housing and transport infrastructure led to the appearance and reactivation of mass movement processes that affects the population and the environment. The purpose of this study consist in applying the principles of bivariate statistical analysis in order to determine the dynamic potential of a territory, taking into account the statistical relationship between the independent variables represented by predisposing and triggering factors of landslides (slope, geology, land use etc.) and dependent variables, in this case: landslides. The identification of the degree of validation of the results was determined by calculating the AUROC (Area under the Receiver Operating Characteristic) value, whose value of 0.854 highlights the representativeness of the chosen model. The analysis of landslides susceptibility highlights the inclusion of the territory represented by the hills surrounding Cluj-Napoca metropolitan area, Romania, on the classes of spatial occurrence of these processes.

Suggested Citation

  • Paul Sestraș & Ștefan Bilașco & Sanda Roșca & Sanda Naș & Mircea V. Bondrea & Raluca Gâlgău & Ioel Vereș & Tudor Sălăgean & Velibor Spalević & Sorin M. Cîmpeanu, 2019. "Landslides Susceptibility Assessment Based on GIS Statistical Bivariate Analysis in the Hills Surrounding a Metropolitan Area," Sustainability, MDPI, vol. 11(5), pages 1-23, March.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:5:p:1362-:d:211067
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    References listed on IDEAS

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    1. Sangseom Jeong & Azman Kassim & Moonhyun Hong & Nader Saadatkhah, 2018. "Susceptibility Assessments of Landslides in Hulu Kelang Area Using a Geographic Information System-Based Prediction Model," Sustainability, MDPI, vol. 10(8), pages 1-19, August.
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    3. Željka Čurović & Milić Čurović & Velibor Spalević & Milorad Janic & Paul Sestras & Svetislav G. Popović, 2019. "Identification and Evaluation of Landscape as a Precondition for Planning Revitalization and Development of Mediterranean Rural Settlements—Case Study: Mrkovi Village, Bay of Kotor, Montenegro," Sustainability, MDPI, vol. 11(7), pages 1-15, April.

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