Bulletin of Engineering Geology and the Environment, Journal Year: 2024, Volume and Issue: 84(1)
Published: Dec. 28, 2024
Language: Английский
Applied Sciences, Journal Year: 2024, Volume and Issue: 14(20), P. 9381 - 9381
Published: Oct. 15, 2024
Efficient data use for early warnings is a critical component of failure management, which encompasses activities such as vulnerable zone mapping, prediction, warning elements, prevention, planning, and action. This study proposes an protocol (EWP) against highway embankment (HWE) failures constructed on expansive soil, implementing in filed situ/lab testing, instrumentation, geophysical 2D/3D finite element method (FEM) analysis, development machine learning-based predictive models, analysis the slope vulnerability index (SVI) factor. Six referenced HWEs were investigated, instrumented, monitored, considered to measure their evaluative parameters (soil situ, soil properties, factor safety). The field-recorded validated using 2D electrical resistivity imaging. FEM numerical models developed based rainfall volume analyze flow coupled deformation HWEs’ slopes. Predictive implemented SVI, EWP was developed. action plan found be main proposed EWP. Observing, deciding, acting are EWP’s key predecessors. mitigation could benefit various public private transportation agencies.
Language: Английский
Citations
2
Atmosphere, Journal Year: 2024, Volume and Issue: 15(5), P. 599 - 599
Published: May 14, 2024
Drawing upon a comprehensive global database of landslides and utilizing high-resolution IMERG satellite precipitation data, this study investigates the spatial temporal variations landslide occurrences across member states Association Southeast Asian Nations (ASEAN). This constructs region-specific, graded warning system by formulating an average effective intensity–duration (I–D) rainfall threshold curve for each ASEAN member. Examination 1747 events spanning from 2006 to 2018 illustrates significant association between frequency in regions latitudinal movement local bands. Incidences hit their lowest March April, while surge is observed October January, correlating with highest mortality rates. Geographical hotspots activity, characterized substantial annual constrained landmasses, include Philippine archipelago, Indonesia’s Java Island, Malay Peninsula, experiencing over 2.5 annually. Fatalities accompany approximately 41.4% events, Philippines Indonesia registering most numbers. Myanmar stands out proportion large-scale incidents, casualty rate 10.89 deaths per landslide, significantly surpassing other countries region. The I–D curves indicate that experienced levels before initiation, whereas has set at considerably lower level.
Language: Английский
Citations
1
Water, Journal Year: 2024, Volume and Issue: 16(14), P. 1996 - 1996
Published: July 14, 2024
The threat and destructiveness of landslide disasters caused by extreme rainfall are increasing. Rainfall intensity is a key factor in the mechanism rainfall-induced landslides. However, under natural conditions, highly variable. This study focuses on Fanling investigates effects varying amplitudes, durations, total amounts behavior. Three experimental groups were established, ten conditions simulated numerically to analyze seepage field response fluctuating conditions. results indicate that (1) there positive correlations between final pore pressure both amplitude duration intensity; (2) water upper slope changes significantly, initiating deformation; (3) amount most direct affecting deformation. Compared long-term stable rainfall, short-term rainstorms more likely trigger These findings enhance our understanding mechanisms providing valuable insights for disaster prevention mitigation.
Language: Английский
Citations
1
Geomatics Natural Hazards and Risk, Journal Year: 2024, Volume and Issue: 15(1)
Published: Dec. 2, 2024
Recent advances have significantly enhanced dynamic early warning systems for rainfall-induced landslides by integrating rainfall thresholds with susceptibility mapping. However, there is still room optimizing these models regional-scale applications. This study introduces a model in Anxi County, Fujian Province, China—a region prone to landslides. First, historical landslide data and their controlling factors were analyzed the area, an optimal map was produced information value logistic regression model. Second, based on theory of effective rainfall, regional threshold established according indices daily hourly model's accuracy evaluated. Third, more E-D (daily index) EE-D (hourly coupled warning. The validation results show its significant predictive capabilities, proving accurate short-duration events. provides valuable insights local authorities offers guidance refining similar regions.
Language: Английский
Citations
1
Landslides, Journal Year: 2024, Volume and Issue: unknown
Published: June 17, 2024
Language: Английский
Citations
1
Frontiers in Earth Science, Journal Year: 2024, Volume and Issue: 12
Published: July 11, 2024
Due to the uncertainty in soil landslide failure mechanisms, lack of early warning systems for landslides and adoption improper excavation configurations, accidents triggered by highway Chinese mountainous areas generally require expensive remedial measures. This paper describes a associated with through integrating field reconnaissance finite element method simulation. According obtained results, toe presence silty clay layer are two main factors contributing landslide, strong negative correction was observed between surface displacement safety factor investigated cut slope; therefore, four-level system this excavation-induced established employing thresholds as indicators. Lastly, preferable configuration proposed facilitate designs similar landslide-prone areas.
Language: Английский
Citations
0
International Journal of Digital Earth, Journal Year: 2024, Volume and Issue: 17(1)
Published: Aug. 20, 2024
Previous studies on landslide susceptibility (LS) and hazard (LH) assessments have overlooked a crucial measure for evaluating validation effectiveness, which involves the use of post-temporal inventories instead solely relying historical data. Therefore, this study constructed regional LH prediction framework at different timescales using data from 2002 to 2021. Firstly, based updated conditioning factors, datasets modelling were built various periods. Then, performances traditional ma chine learning, ensemble deep learning models compared. Finally, multi-period rainfall results used in innovative forecasting. Our show that model (random forest) has stronger generalisation ability time periods, with all Area Under Curve (AUC) values exceeding 0.9. The erosion intensity can effectively forecast LH, shortened timescale improve accuracy At very high level, percentage landslides increased 25.23% 42.86%. This comprehensively explores spatio-temporal dynamic changes accurately identifying areas posing threats National Transmission Line Protection Regions (NTLPR).
Language: Английский
Citations
0
Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 381 - 389
Published: Nov. 15, 2024
Language: Английский
Citations
0
Applied Sciences, Journal Year: 2024, Volume and Issue: 14(23), P. 11279 - 11279
Published: Dec. 3, 2024
With increasing research on geological hazards and the development of geographic information technology, slope units play an increasingly important role in landslide susceptibility assessment prevention work. The scientific reasonable division directly impacts accuracy practicality analysis results. Despite significant progress unit techniques, most existing methods still have certain limitations, such as a strong dependence manually set thresholds during process, resulting low levels automation efficiency. To address this issue, new parameter-free extraction algorithm that integrates terrain factors, called Terrain Factor Parameter-Free Slope Unit Division (TFPF-SU), is introduced. This eliminates issue setting parameter process. fully utilizes provided by digital elevation models (DEMs) to accurately calculate curvature, slope, aspect data for each point. On basis inherent consistency principles among aspect, object-oriented image segmentation technology used achieve division. We select Dongchuan District Yunnan Province, China, test area verify TFPF-SU conduct detailed comparative validation results with those obtained via traditional hydrological from both qualitative quantitative perspectives. In analysis, we utilize size shape units. indicate following: ① method are more uniform size, avoiding issues oversized or irregularly shaped units; ② shapes reasonable, about 70% falling within index range, compared only 32% method; ③ produced align closely authenticity, exhibiting higher degree topographical conformity.
Language: Английский
Citations
0
Engineering Geology, Journal Year: 2024, Volume and Issue: unknown, P. 107837 - 107837
Published: Dec. 1, 2024
Language: Английский
Citations
0