Laboratory tests with interferometric optical fibre sensors to monitor shallow landslides triggered by rainfalls

Longoni, Laura; Ivanov, Vladislav Ivov; Ferrario, Maddalena; Brunero, M.; Papini, Monica; Arosio, Diego

doi:10.1007/s10346-021-01803-5

Cited by 8 publications

(4 citation statements)

References 47 publications

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“…As can be seen from Table 3, the efficiency of the algorithm decreases with the increase of the number of visible satellites, but the overall efficiency of the algorithm increases significantly. When the number of visible satellites is 28, the algorithm times decreases from 20,475 to 1,140, and the efficiency of the algorithm increases by 16.9 times [23]. and the satellite position information of the whole BeiDou constellation was generated by STK software.…”

Section: Algorithm Efficiency Analysismentioning

confidence: 99%

Mining Geological Environment Monitoring and Real-Time Transmission Based on Internet of Things Technology

Wang

Zhang

Pei

et al. 2022

International Journal of Analytical Chemistry

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A landslide monitoring technology based on BeiDouand, a wireless sensor network, is proposed in order to solve the problem that landslide has brought severe threat to people’s life and safety of property. The landslide monitoring system based on the BeiDouand wireless sensor network is analyzed and designed from the point of view of hardware and software. BeiDou message and GPRS double redundancy transmission mode are adopted to improve the reliability of transmission. It also adopts the factor compression method to improve the effectiveness of BeiDoutransmission and adopts queue management and packet scheduling mechanism to improve the real-time and reliability of wireless sensor network transmission. The result is that, as the number of visible satellites increases, the efficiency of the algorithm decreases. However, the overall efficiency of the algorithm has been significantly improved. When there are 28 visible satellites, the number of algorithm times decreases from 20,475 to 1,140, and the efficiency of the algorithm increases by 16.9 times. The GDOP simulated by the fast star selection algorithm proposed in this paper is less than 3.9, reaching an excellent grade.

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Section: Algorithm Efficiency Analysismentioning

confidence: 99%

Mining Geological Environment Monitoring and Real-Time Transmission Based on Internet of Things Technology

Wang

Zhang

Pei

et al. 2022

International Journal of Analytical Chemistry

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“…Zhang et al [23] Calculating the correlation between landslide displacement and axial strain applied to sensing optical fibers based on distributed optical fibers. And some interferometric fiber optic sensors have also been used to test the ability to identify unstable precursors in a reduced model of rainfall induced landslides composed of granular materials [24]. Shi et al [25,26] made a systematic and creative contribution to the theory, technology and application of distributed optical fiber sensing in rock and soil mass, and pointed out the future development direction and frontier research topics of optical fiber sensing technology for rock and soil mass catastrophe.…”

Section: Introductionmentioning

confidence: 99%

Experimental study on joint sensing and early warning method of landslide disaster based on NPR-OFST

Tao,

feng,

Zhang

et al. 2024

Preprint

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In order to explore more effective methods of landslide disaster monitoring and controlling, NPR anchor cable and optical fiber grating strain sensor are physically combined to form a slope reinforcement-monitoring integration system, with PVC pipe an intermediary. Physical model test is carried out according to timely warning of landslide disasters of the Newtonian force monitoring system. At the same time, the optical fiber sensing technology has the condition of continuous perception of time and space. The feasibility of monitoring the whole life cycle of slope instability and positioning the potential sliding surface is discussed. Through the analysis of the test results, it is concluded that the fiber grating strain sensor can effectively monitor the deep displacement of the slope. PVC pipe and the soil have deformation coordination, which is able to effectively reinforce the slope body together with the combined anchor cable sensing device, and can continuously sense the potential sliding surface in the whole life cycle of the slope. By comparing the results of Newton force monitoring curve with the fiber grating strain monitoring, the mechanical law of “Newton force sudden drops, immediately catastrophe happens” is further verified. Finally, it is concluded that the combined sensing and early warning method of optical fiber sensing technology and Newton force monitoring can realize comprehensive monitoring and control of landslide disasters. This method realizes the further optimization of Newton force monitoring system.

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“…The influence of rainfall on the stability of the collapse cannot be ignored (Cuomo et al, 2021; Longoni et al, 2022; Peres & Cancelliere, 2021; Troncone et al, 2021). Rainwater infiltration increases soil weight; however, the softening effect of rainwater significantly reduces the strength of the soil.…”

Section: Introductionmentioning

confidence: 99%

Mechanism of rainfall‐induced toppling in loess collapses

Hou,

Jiang,

Chen

2024

Earth Surf Processes Landf

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To study the formation mechanism of rainfall‐induced soil erosion, collapse and landslides in the Loess Plateau based on the unsaturated soil seepage theory and the effective stress principle, the failure process of collapse with cracks under heavy and long‐term rainfall was investigated using the finite element method. The results showed that under the action of heavy rain, surface run‐off quickly gathered in cracks to form a dominant flow, resulting in a rapid increase in the water level and hydrostatic pressure in the cracks. The strength of the soil at the tip of the crack decreased rapidly under the softening effect of the water, and tensile failure occurred. The crack accelerated downward to the foot of the slope, causing the steep slope to collapse. Long‐term rainfall acts directly on the soil near the crack, resulting in faster saturation than the soil inside the slope body. When the rainfall time exceeded a certain value, the soil near the crack reached a saturated state, and the soil strength was minimized. Simultaneously, the seepage force generated when rainwater inside the collapsed body seeps from its outer edge increases the overturning moment of the collapsed body. Under the continuous action of rainfall, the cracks gradually extended to the foot of the slope, causing the collapsed body to fail. These research results provide a theoretical basis for the prevention and control of land degradation and collapse disasters on the Loess Plateau.

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Laboratory tests with interferometric optical fibre sensors to monitor shallow landslides triggered by rainfalls

Cited by 8 publications

References 47 publications

Mining Geological Environment Monitoring and Real-Time Transmission Based on Internet of Things Technology

Mining Geological Environment Monitoring and Real-Time Transmission Based on Internet of Things Technology

Experimental study on joint sensing and early warning method of landslide disaster based on NPR-OFST

Mechanism of rainfall‐induced toppling in loess collapses

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