Application of an optical fiber-based system for mass movement monitoring

Date

2022-03-01

Author

Arslan Kelam, Arzu
Akgün, Haluk
KOÇKAR, MUSTAFA KEREM

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

201
views

0
downloads

This paper assesses the stages and findings of a mass movement monitoring system developed for continuous long-term monitoring applications using optical fiber cable as a sensor to decrease the risks associated with slope instabilities. During this study, a system composed of optical fiber cables and a device referred to as the Brillouin Optical Time Domain Analyzer (BOTDA) has been used. This system has been implemented in a risky landslide area in the Bahcecik region of Kocaeli, one of the active landslide-prone regions in the Marmara region, Turkey. The strain data have enabled investigating the effects of precipitation, groundwater level fluctuation, and temperature change on mass movement for a period of 6 months. The evaluation of the data revealed that the change in strain was directly proportional to precipitation, groundwater head, and temperature difference. The mass movement characteristics that were validated by periodical surface topography monitoring measurements have shown that the variation of the relative displacements was in good agreement with the displacements estimated by the optical fiber system. These results showed that the system gave reliable results regarding the suitability of the utilized cable for mass movement monitoring. Since this study is the first study performed ever in Turkey that has used optical fibers for mass movement assessment, the results discussed in this paper are expected to guide slope monitoring and early warning system applications. It is anticipated that the system will also contribute significantly to understanding the impact of precipitation, groundwater level, and temperature changes on mass movement.

Subject Keywords

Mass movement monitoring, Distributed optical fiber sensor (DOFS), Early warning system, Landslide triggering factors, Rainfall-induced landslide, Kocaeli, Turkey, LANDSLIDE, MODEL, DEFORMATION

URI

https://hdl.handle.net/11511/97103

Journal

ENVIRONMENTAL EARTH SCIENCES

DOI

https://doi.org/10.1007/s12665-022-10289-w

Collections

Department of Geological Engineering, Article

Suggestions

OpenMETU
Core

Application of an Optical Fiber Based Monitoring System to a Mass Movement Area Arslan Kelam, Arzu; Akgün, Haluk (2020-06-28) The purpose of this study is to generate a long-term and continuous monitoring system that is near-real-time for mass movements by utilizing optical fibers. The system is composed of fiber optic cables and a device called BOTDA (Brillouin Optical Time Domain Analyzer), which is responsible for sending laser signals to the fiber optic cable and collecting backscattered light. The system measures the distributed strain along an optical fiber cable when mass movement displaces the cable and causes differences ...
Development of all digital interferometric closed-loop fiber optic gyroscope with ytterbium doped superfluorescent fiber source Keskin, Hakan; Altan, Hakan; Department of Physics (2023-1-23) In this thesis, the development of a Fiber Optic Gyroscope (FOG) driven by Ytterbium (Yb) doped Amplified Spontaneous Emission (ASE) Source that has broad spectral bandwidth allowing for sensitive measurements is investigated. The first emphasis is given to the development of a Yb-doped ASE. This ASE operates at around 1μm wavelength with broad spectral bandwidth. Different ASE configurations such as single-pass forward (SPF), single-pass backward (SPB), double-pass forward (DPF), and double-pass backward (...
Design of a Novel THz Sensor for Structural Health Monitoring Applications Pavia, J. P.; Ribeiro, M. A.; Sarikaya, C. K.; Akbar, D.; Altan, Hakan; Souto, N. (2019-01-01) In this paper, we propose a study on the characterization, design and simulation of a THz sensor for applications in Structural Health Monitoring (SHM). The proposed sensor is assembled using two frequency selective surfaces (FSSs) based on metamaterial wire resonators. We present a theoretical model to describe its electromagnetics which is used not only to understand the physical principles underlying the functioning of the sensor but also to determine a set of optimized parameters for its operation in th...
Grid impedance estimation based adaptive controller design for back-to-back wind turbine power converters for stable operation in distorted and weak grid Temiz, Hakan; Keysan, Ozan; Department of Electrical and Electronics Engineering (2019) This thesis involves grid impedance estimation based adaptive controller design for back-to-back wind turbine power converters for stable operation in distorted and weak grid. The study focuses on the low frequency harmonic elimination of injected current to the grid under distorted grid conditions and maintaining system stability under wide range of grid impedance values for Voltage Source Inverters (VSIs) connected to the grid via LCL filter. To eliminate 5th and 7th harmonics of the injected current, a c...
Measurement correction of a set of analog sun sensors via neural network Sozen, Semsettin Numan; Gokce, Murat; Yavuzyilmaz, Cagatay; Gulmammadov, Farid; Söken, Halil Ersin (2021-06-23) A Neural Network (NN) based method to improve the accuracy of a set of analog Sun sensors is presented. Analog Sun Sensors are commonly used on satellites due to their reduced cost, small size and low power consumption. However, especially in Earth imaging satellites, they are prone to the Earth albedo effects. Magnitude and direction of albedo change depending on the reflection characteristics of the Earth's surface, position and attitude of the satellite and position of the Sun. The albedo may deteriorate...

Citation Formats

A. Arslan Kelam, H. Akgün, and M. K. KOÇKAR, “Application of an optical fiber-based system for mass movement monitoring,” ENVIRONMENTAL EARTH SCIENCES, vol. 81, no. 5, pp. 0–0, 2022, Accessed: 00, 2022. [Online]. Available: https://hdl.handle.net/11511/97103.