scholarly journals Potential of time domain reflectometry as early warning system in slope stability monitoring project: A review

2016 ◽  
Author(s):  
Nur S. M. A. Wahab ◽  
Ng W. K. ◽  
Nor H. H. Abdullah ◽  
Anas Ibrahim ◽  
Mohd R. A. Majid ◽  
...  
Keyword(s):  
Slope Stability ◽  
Time Domain ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Time Domain Reflectometry ◽  
Stability Monitoring

scholarly journals iCRESTRIGRS: A coupled modeling system for cascading flood-landslide disaster forecasting

2016 ◽  
Author(s):  
Ke Zhang ◽  
Xianwu Xue ◽  
Yang Hong ◽  
Jonathan J. Gourley ◽  
Ning Lu ◽  
...  
Keyword(s):  
Slope Stability ◽  
Early Warning ◽  
Early Warning System ◽  
Flash Flood ◽  
Significant Risk ◽  
Warning System ◽  
Prototype System ◽  
Coupled Modeling ◽  
Hazard Management ◽  
Landslide Disaster

Abstract. Severe storm-triggered floods and landslides are two major natural hazards in the U.S., causing property losses of $6 billion and approximately 110–160 fatalities per year nationwide. Moreover, floods and landslides often occur in a cascading manner, posing significant risk and leading to losses that are significantly greater than the sum of the losses from the individual hazards. It is pertinent to couple hydrological and geotechnical modelling processes toward an integrated flood-landslide cascading disaster early warning system for improved disaster preparedness and hazard management. In this study, we developed the iCRESTRIGRS model, a coupled flash flood and landslide disaster early warning system, by integrating the Coupled Routing and Excess STorage (CREST) model with the physically based Transient Rainfall Infiltration and Grid-Based Regional Slope-Stability (TRIGRS) landslide model. The iCRESTRIGRS system is evaluated in four river basins in western North Carolina that experienced a large number of floods, landslides and debris flows, triggered by heavy rainfall from Hurricane Ivan during September 16–18, 2004. The modelled hourly hydrographs at four USGS gauge stations show generally good agreement with the observations during the entire storm period. In terms of landslide prediction in this case study, the coupled model has a global accuracy of 89.5 % and a true positive rate of 50.6 %. More importantly, it shows an improved predictive capability for landslides relative to the stand-alone TRIGRS model. This study highlights the important physical connection between rainfall, hydrological processes and slope stability, and provides a useful prototype system for operational forecasting of flood and landslide.

The Open Colliery Slope Mechanics Stability Analysis and Forecasting Methods Reasearching

2012 ◽  
Vol 157-158 ◽  
pp. 743-746
Author(s):  
Hai Bo Jiang ◽  
Chang Sheng Ji ◽  
Ying Qiu Shu ◽  
Jiang Li
Keyword(s):  
Stability Analysis ◽  
Slope Stability ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Slope Stability Analysis ◽  
Forecasting Methods

The slope, out-dump ,inner-dump and work-slope, is the important part in the open colliery. Slope should bring the huge loss without effective forecast during the work. Many methods have been used in the slope stability analysis to escape the slope. Dffective landslide forecast can improve the early warning system of landslides and mitigate the landslide disasters. In this paper, the methods used in the analysis have been list and forecast reasearch should be discuss. The better method could be get from integrate the multi-method.

scholarly journals Time domain reflectometry (TDR) potential for soil condition monitoring of geotechnical assets

2019 ◽  
Vol 56 (7) ◽  
pp. 942-955 ◽  
Author(s):  
Giulio Curioni ◽  
David N. Chapman ◽  
Alexander C.D. Royal ◽  
Nicole Metje ◽  
Ben Dashwood ◽  
...  
Keyword(s):  
Condition Monitoring ◽  
Time Domain ◽  
Early Warning ◽  
Warning System ◽  
Early Warning Systems ◽  
Time Domain Reflectometry ◽  
Soil Conditions ◽  
Dry Density ◽  
Term Condition

The performance of geotechnical assets is influenced by various external factors including time and changing loading and environmental conditions. These changes could reduce the asset’s ability to maintain its function, potentially resulting in failure, which could be extremely disruptive and expensive to remediate; thus, the ability to monitor the long-term condition of the ground is clearly desirable as this could function as an early-warning system, permitting intervention prior to failure. This study demonstrates, for the first time, the potential of using time domain reflectometry (TDR) for long-term monitoring of the relative health of an asset (via water content and dry density) in a field trial where a clayey sandy silt was exposed to leaking water from a pipe. TDR sensors were able to provide detailed information on the variation in the soil conditions and detect abrupt changes that would relay a prompt for asset inspections or interventions. It is proposed that TDR could be used alone or together with other shallow geophysical techniques for long-term condition monitoring of critical geotechnical assets. Early-warning systems could be based on thresholds defined from the values or the relative change of the measured parameters.

scholarly journals Development of a Landslide Early Warning System in Indonesia

Geosciences ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. 451 ◽  
Author(s):  
Rokhmat Hidayat ◽  
Samuel Jonson Sutanto ◽  
Alidina Hidayah ◽  
Banata Ridwan ◽  
Arif Mulyana
Keyword(s):  
Slope Stability ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Economic Losses ◽  
Precipitation Data ◽  
Threshold Method ◽  
Landslide Occurrence ◽  
Daily Precipitation Data ◽  
Landslide Early Warning

Landslides are one of the most disastrous natural hazards in Indonesia, in terms of number of fatalities and economic losses. Therefore, Balai Litbang Sabo (BLS) has developed a Landslide Early Warning System (LEWS) for Indonesia, based on a Delft–FEWS (Flood Early Warning System) platform. This system utilizes daily precipitation data, a rainfall threshold method, and a Transient Rainfall Infiltration and Grid-based Regional Slope-stability model (TRIGRS) to predict landslide occurrences. For precipitation data, we use a combination of 1-day and 3-day cumulative observed and forecasted precipitation data, obtained from the Tropical Rainfall Measuring Mission (TRMM) and the Indonesian Meteorological Climatological and Geophysical Agency (BMKG). The TRIGRS model is used to simulate the slope stability in regions that are predicted to have a high probability of landslide occurrence. Our results show that the landslides, which occurred in Pacitan (28 November 2017) and Brebes regions (22 February 2018), could be detected by the LEWS from one to three days in advance. The TRIGRS model supports the warning signals issued by the LEWS, with a simulated factor of safety values lower than 1 in these locations. The ability of the Indonesian LEWS to detect landslide occurrences in Pacitan and Brebes indicates that the LEWS shows good potential to detect landslide occurrences a few days in advance. However, this system is still undergoing further developments for better landslide prediction.

scholarly journals Early warning system for shallow landslides using rainfall threshold and slope stability analysis

2018 ◽  
Vol 9 (6) ◽  
pp. 1871-1882 ◽  
Author(s):  
Shruti Naidu ◽  
K.S. Sajinkumar ◽  
Thomas Oommen ◽  
V.J. Anuja ◽  
Rinu A. Samuel ◽  
...  
Keyword(s):  
Stability Analysis ◽  
Slope Stability ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Rainfall Threshold ◽  
Slope Stability Analysis ◽  
Shallow Landslides

Time-domain reflectometry–based real-time slope stability monitoring in opencast mines: A review

2020 ◽  
pp. 095745652092481
Author(s):  
Ajay Kumar
Keyword(s):  
Slope Stability ◽  
Real Time ◽  
Time Domain ◽  
Slope Failure ◽  
Low Cost ◽  
Mining Area ◽  
Time Domain Reflectometry ◽  
Stability Monitoring ◽  
Opencast Mines ◽  
Failure Conditions

Time-domain reflectometry plays a crucial role in slope stability. Slope stability factors are an important parameter in the mining regions over opencast mine slope failure. Conventional methods are oldest as well as poorest risk assessments for monitoring and predication over slope failure conditions. Time-domain reflectometry application has been used among various fields of research at different areas of interest. But, it is implemented in mining area at opencast mines for phonographic review over slope failure conditions. This is a recent technology with low cost, which uses a wireless transmission system for high-risk assessment over slope stability measurement by received signal strength indicator. Moreover, this research is more suitable for monitoring of slope stability as well as less complex about time-domain reflectometry application of installation and real-time slope stability monitoring. The review case of time-domain reflectometry application is linked into the mining area. So, this result is best suitability of time-domain reflectometry and the Internet of things for real-time slope stability monitoring in opencast mines.

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