GIS-based technic for roadside-slope stability assessment: an bivariate approach for A1 East-West highway, North Algeria

• Autorzy: Dahoua L. , Yakovitch S. V. , Hadji R. H.

Identyfikatory

DOI

10.5277/msc172407

• Języki publikacji: EN

Abstrakty

EN

This paper presents a GIS-based method for landslide susceptibility (LS) assessment using slope-movement inventory and field data. The study has been carried out along A1-Highway (A1-H) in Hanif region as this road section is threated by several types of mass wasting. This hilly zone is known by their landslides sensitive terrains in the North of Algeria. The terrain data are collected from a Géologic map, satellite imageries, digital elevation model, rainfall data, field suveys and ancillary data. In this paper Frequency Ratios (FR) based on bivariate statistical method are evaluated by comparing the observed landslides to their controlling factors. The product of the linear summation of the FR values was a landslide susceptibility index (LSI) map. It was categorized using the natural breaks classification method. The resultant LS zonation map delineates the area into five hierarchic zones. The results confirms that the angle of the slope, plays the most role in wasting especially in road sides. The LS can be used for preliminary land use planning and hazard mitigation purpose. By means of this map the current route of the A1-H can be improved to cross less susceptibles zones.

Słowa kluczowe

EN

landslide susceptibility; frequency ratio; bivariate statistics; mountain; geotechnic

• Wydawca: Wydział Geoinżynierii, Górnictwa i Geologii, Instytut Górnictwa Politechniki Wrocławskiej
• Czasopismo: Mining Science
• Rocznik: 2017
• Tom: Vol. 24
• Strony: 117--127
• Opis fizyczny: Bibliogr. 18 poz., rys. tab.

Twórcy

autor

Dahoua L.

• Department of Road Construction and Maintenance, National Transport University, Kiev, Ukraine

autor

Yakovitch S. V.

• Department of Road Construction and Maintenance, National Transport University, Kiev, Ukraine

autor

Hadji R. H.

• Department of Earth Sciences, Institute of Architecture and Earth Sciences, Sétif1 University, Algeria

Bibliografia

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• Ozdemir, A., and Altural, T. (2013). A comparative study of frequency ratio, weights of evidence and logistic regression methods for landslide susceptibility mapping: Sultan Mountains, SW Tur-key. Journal of Asian Earth Sciences, 64, 180-197.
• Pradhan, B. (2010). Landslide susceptibility mapping of a catchment area using frequency ratio, fuzzy logic and multivariate logistic regression approaches. Journal of the Indian Society of Remote Sensing, 38(2), 301-320.
• Pradhan, B., and Lee, S. (2010). Landslide susceptibility assessment and factor effect analysis: backprop-agation artificial neural networks and their comparison with frequency ratio and bivariate logistic re-gression modelling. Environmental Modelling and Software, 25(6), 747-759.
• Sivakami, C., and Sundaram, A. (2014). Landslide Susceptibility Zone using Frequency Ratio Model, Remote Sensing and GIS–A Case Study of Western Ghats, India (Part of Kodaikanal Taluk). Journal of Environment and Earth Science, 22.
• Zahri F., Boukelloul M., Hadji R., Talhi K., (2016). Slope Stability Analysis In Open Pit Mines Of Jebel Gustar Career, Ne Algeria – A Multi-Steps Approach. Mining Science, 23 : 137−146.

Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).