Failure analysis on a heavy rainfall-induced landslide in Huay Khab Mountain in Northern Thailand

Komolvilas, Veerayut; Tanapalungkorn, Weeradetch; Latcharote, Panon; Likitlersuang, Suched

doi:10.1007/s11629-021-6720-8

Cited by 19 publications

(4 citation statements)

References 48 publications

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“…The probability of accidents is high under poor geological conditions [ 25 ]. In the actual operation process, the survey work is often limited by the topography and geology of the project, resulting in incomplete survey [ 26 ]. In summary, we propose the following two hypotheses: H8 - Natural conditions positively affect tunnel construction accidents and H9–Natural conditions positively affect technical management.…”

Section: Methodsmentioning

confidence: 99%

“…In the process of tunnel engineering investigation, a large number of non-professional worker are usually matched with a small number of professional and personnel technicians. However, the overall quality of these investigators, as well as professional knowledge, safety awareness are very serious deficiencies, it is difficult to ensure the quality of the investigation [ 26 ]. Therefore, we make the following hypothesis: H12–Human factors positively affect geological exploration design.…”

Section: Methodsmentioning

confidence: 99%

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Risk factors influencing tunnel construction safety: Structural equation model approach

Yang

Wang

Easa

et al. 2023

Heliyon

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Risk factors influencing tunnel construction safety: Structural equation model approach

Yang

Wang

Easa

et al. 2023

Heliyon

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“…Numerous scholars have investigated the safety and stability of slopes under rainfall conditions. Generally, the continual drop of soil shear strength significantly contributes to slopes' failure during rainfall 6 – 8 . For example, Nguyen.…”

Section: Introductionmentioning

confidence: 99%

Safety assessment of slope on in-service dump under severe dry–wet cycles at high-altitude

Dong,

Jiang,

Yang

et al. 2023

Sci Rep

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This study aimed to evaluate the safety of dump slopes in high-altitude areas subjected to severe dry–wet cycles. The slope of No. 1 and No. 2 in-service dumps in limestone mining areas for cement in high-altitude mining areas is taken as the research object. The unsaturated soil shear strength and matrix suction distribution equations were imported based on the unsaturated–saturated seepage theory. Therefore, the evolution characteristics of the unsaturated–saturated seepage field in the dump are analyzed by numerical calculation, and the safety state of the dump slope is evaluated. The results indicated the following rules: under the action of four dry–wet cycles, the surface soil of the dump slope changes from an unsaturated state to a saturated state. Furthermore, with the increase in the times of the dry–wet cycle, the maximum vertical displacement of the No. 1 and No. 2 dump slopes increased. The numerical calculations of the maximum cumulative vertical displacement of the slope were consistent with the actual monitoring data. The factor of safety of the dump slope decreased continuously with the increase in the times of dry–wet cycles. Nevertheless, it still met the safety and stability standards. It was concluded that the slope of the in-service dump remains stable after enduring four severe cycles of dry–wet.

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“…Both natural and human factors contribute to the occurrence of landslides, and understanding these interactions is crucial for effective landslide risk management. Natural causes include seismic activities such as earthquakes [10], heavy rainfall [11], and volcanic eruptions [12], while human activities such as mining [13], construction [14], deforestation [15], and changes in land use [16] can significantly alter the landscape, making it more susceptible to landslides. One of the first steps in landslide research in a specific area is the development of a reliable landslide inventory [17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Remote Sensing and GIS in Landslide Management: An Example from the Kravarsko Area, Croatia

Podolszki,

Karlović

2023

Remote Sensing

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The Kravarsko area is located in a hilly region of northern Croatia, where numerous landslides endanger and damage houses, roads, water systems, and power lines. Nevertheless, natural hazard management plans are practically non-existent. Therefore, during the initial research, a landslide inventory was developed for the Kravarsko pilot area based on remote sensing data (high-resolution digital elevation models), and some of the landslides were investigated in detail. However, due to the complexity and vulnerability of the area, additional zoning of landslide-susceptible areas was needed. As a result, a slope gradient map, a map of engineering geological units, and a land-cover map were developed as inputs for the landslide susceptibility map. Additionally, based on the available data and a landslide inventory, a terrain stability map was developed for landslide management. Analysis and map development were performed within a geographical information system environment, and the terrain stability map with key infrastructure data was determined to be the “most user-friendly and practically usable” resource for non-expert users in natural hazard management, for example, the local administration. At the same time, the terrain stability map can easily provide practical information for the local community and population about the expected landslide “risk” depending on the location of infrastructure, estates, or objects of interest or for the purposes of future planning.

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Failure analysis on a heavy rainfall-induced landslide in Huay Khab Mountain in Northern Thailand

Cited by 19 publications

References 48 publications

Risk factors influencing tunnel construction safety: Structural equation model approach

Risk factors influencing tunnel construction safety: Structural equation model approach

Safety assessment of slope on in-service dump under severe dry–wet cycles at high-altitude

Remote Sensing and GIS in Landslide Management: An Example from the Kravarsko Area, Croatia

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