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Comparison of Static, Kinematic and Dynamic Geodetic Deformation Models for Kutlugün Landslide in Northeastern Turkey

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  • Mualla Yalçinkaya
  • Temel Bayrak

Abstract

Being the cause of the loss of life and damaging property, landslide is an important natural hazard. Therefore, landslides have to be monitored and preventive measures taken accordingly. In Geodesy, landslides can be determined with static, kinematic and dynamic geodetic models. The aim of this study is to develop a dynamic geodetic model for landslides and compare it with static and kinematic geodetic models. A study area was selected in the Northeastern Black Sea Region of Turkey where landslides are the most effective natural hazard. Movements were determined with static, kinematic and dynamic geodetic models using geodetic, geologic and geophysical measurements made in the study area. Groundwater levels changes were regarded as causative forces in the formulation of the dynamic model. The dynamic model delivered more detailed information (direction, values, velocity, acceleration of movements) about landslide movements. It is possible to formulate more realistic strategies about prevention of landslides by using this information. As a result, it can be suggested that dynamic geodetic models are more useful in landslide studies. Copyright Springer 2005

Suggested Citation

  • Mualla Yalçinkaya & Temel Bayrak, 2005. "Comparison of Static, Kinematic and Dynamic Geodetic Deformation Models for Kutlugün Landslide in Northeastern Turkey," 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. 34(1), pages 91-110, January.
    • Handle: RePEc:spr:nathaz:v:34:y:2005:i:1:p:91-110
    DOI: 10.1007/s11069-004-1967-2
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    Cited by:

    1. K. Hastaoglu & D. Sanli, 2011. "Monitoring Koyulhisar landslide using rapid static GPS: a strategy to remove biases from vertical velocities," 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. 58(3), pages 1275-1294, September.
    2. Nussaïbah B. Raja & Ihsan Çiçek & Necla Türkoğlu & Olgu Aydin & Akiyuki Kawasaki, 2017. "Landslide susceptibility mapping of the Sera River Basin using logistic regression model," 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. 85(3), pages 1323-1346, February.

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