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Impact of Landscape Factors on Automobile Road Deformation Patterns—A Case Study of the Almaty Mountain Road

Author

Listed:
  • Ainur Kairanbayeva

    (Institute of Ionosphere, National Center of Space Research and Technology, Almaty 050020, Kazakhstan)

  • Gulnara Nurpeissova

    (L.B. Goncharov Kazakh Auto Road Institute (KazADI), Almaty 050061, Kazakhstan
    Engineering Institute, Caspian University, Almaty 050000, Kazakhstan)

  • Zhumabek Zhantayev

    (Institute of Ionosphere, National Center of Space Research and Technology, Almaty 050020, Kazakhstan)

  • Roman Shults

    (Department of Geomatics, Faculty of Civil Engineering, Czech Technical University in Prague, 166 29 Prague, Czech Republic)

  • Dina Panyukova

    (L.B. Goncharov Kazakh Auto Road Institute (KazADI), Almaty 050061, Kazakhstan)

  • Saniya Kiyalbay

    (L.B. Goncharov Kazakh Auto Road Institute (KazADI), Almaty 050061, Kazakhstan)

  • Kerey Panyukov

    (Engineering Institute, Caspian University, Almaty 050000, Kazakhstan)

Abstract

The geography of Kazakhstan is characterized by a diverse landscape and a small population. Therefore, certain automobile roads pass through unpopulated mountain regions, where physical road diagnostics are rare or almost absent, while landscape factors continue to affect the road. However, modern geo-information approaches and remote sensing could effectively provide the road diagnostics necessary to make timely control decisions regarding a road’s design, construction, and maintenance. To justify this assumption, we researched the deformation of a mountain road near Almaty city. Open access satellite images of and meteorological archival data for the region were processed. The resulting data were compared to validate the road’s deformation triggers. Extreme weather conditions’ impacts could be identified via road destruction (nearly 40 m longitudinal cracks, 15 m short transversal cracks, and two crack networks along a 50 m road section). The remotely sensed parameters (vertical displacement velocity, slope exposure, dissections, topographic wetness index, aspect, solar radiation, SAVI, and snow melting) show the complexity of triggers of extensive road deformations. The article focuses only on open access data from remote sensing images and meteorological archives. All the resulting data are available and open for all interested parties to use.

Suggested Citation

  • Ainur Kairanbayeva & Gulnara Nurpeissova & Zhumabek Zhantayev & Roman Shults & Dina Panyukova & Saniya Kiyalbay & Kerey Panyukov, 2022. "Impact of Landscape Factors on Automobile Road Deformation Patterns—A Case Study of the Almaty Mountain Road," Sustainability, MDPI, vol. 14(22), pages 1-20, November.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:22:p:15466-:d:979736
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    References listed on IDEAS

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    1. Jyunpei Uemoto & Toshifumi Moriyama & Akitsugu Nadai & Shoichiro Kojima & Toshihiko Umehara, 2019. "Landslide detection based on height and amplitude differences using pre- and post-event airborne X-band SAR data," 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. 95(3), pages 485-503, February.
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