Landslide susceptibility assessment for warning of dangerous areas in Tan Uyen district, Lai Chau province, Vietnam

Kieu, Quoc Lap; Ngo, Gioi Van

doi:10.1080/04353676.2022.2091915

Cited by 4 publications

(2 citation statements)

References 62 publications

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“…The literature on landslide susceptibility in Vietnam has explored various methods, including statistical techniques (Bui et al, 2015;Kieu and Ngo, 2022;Thanh et al, 2022), machine learning (Phong et al, 2021), and deep learning (Bui et al, 2020;Dao et al, 2020;Nhu et al, 2020), which have mostly been applied in the mountainous regions of the country. Unusual weather patterns have caused an increase in natural hazards that not only occur more frequently but also have greater magnitude and are expanding into coastal mountainous areas.…”

Section: Introductionmentioning

confidence: 99%

GIS-based modeling of landslide susceptibility zonation by integrating the frequency ratio and objective–subjective weighting approach: a case study in a tropical monsoon climate region

Hoa

Tuấn

Hong

et al. 2023

Front. Environ. Sci.

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Accurate detection of landslide spatial patterns is vital in susceptibility, hazard, and risk disaster mapping. Geographic Information System (GIS)-based quantitative approaches provide a rigorous procedure for gaining deep insight into natural and anthropogenic landslides from different scales. This study aims to implement a comprehensive solution for retrieving the landslide susceptibility index. For that purpose, a landslide inventory was performed in a tropical monsoon climate region, with a magnitude of elevation spanning from −65 m to 1,900 m above the sea, considering 15 fundamental causative factors belonging to the groups of topography, hydrology, geology, land cover conditions and anthropogenic activities, and weather. The frequency ratio (FR) was implemented to rank subclasses in each causative factor. For factor weight estimation, different approaches were applied, including the subjective-based analytic hierarchy process (AHP), objective-based Shannon entropy (SE), and a synergy of both methods (AHP–SE), built on these two approaches. Out of the 271 identified landslide locations, 70% (196 points) were used for training and the remaining 30% (71 points) were applied for validation. The results showed that the integrated AHP–SE outperformed the two individual approaches, with the area under the receiver operating characteristic curve (AUC) reaching 0.876, following SE (AUC = 0.848) and AHP (AUC = 0.818). In the synergy approach, the climate pattern under tropical monsoons was confirmed as the most crucial landslide-predisposing factor. The research contributes to a novel discussion by integrating knowledge-based consultation and statistical data analysis of accurate geospatial data, incorporating significant explanatory factors toward a reliable landslide-prone zonation over space and time dimensions.

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Section: Introductionmentioning

confidence: 99%

GIS-based modeling of landslide susceptibility zonation by integrating the frequency ratio and objective–subjective weighting approach: a case study in a tropical monsoon climate region

Hoa

Tuấn

Hong

et al. 2023

Front. Environ. Sci.

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“…Te collapse of a dangerous rock mass is one of the three common geological disasters (collapse, landslide, and debris fow) in mountainous areas. Te instability and collapse of dangerous rock masses often bring serious threats to human life and property safety [1]. Tere have been many studies on the mechanism of dangerous rock mass collapse.…”

Section: Introductionmentioning

confidence: 99%

Experimental Study on the Vibration Characteristics of Dangerous Rock Mass under Constant Micromotion

Zhang

Xie

Huang

et al. 2023

Advances in Civil Engineering

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In mountainous areas, dangerous rock mass collapse is a serious threat to human life and property safety. However, how to effectively prevent and control the instability of dangerous rock mass is still an urgent unsolved problem. In this study, the dynamic characteristics of dangerous rock mass under constant micromotion were analysed from the perspective of elastic wave propagation. When the slip plane of the dangerous rock mass is damaged, many micropores and cracks will appear in the medium composed of the slip surface. With constant micromotion as the vibration source, the elastic wave propagates to the dangerous rock mass through the damaged slip plane. The high-frequency components of elastic waves scatter in pores and fissures, where energy dissipates. According to this characteristic, a laboratory simulation experiment was designed. In the experiment, the damage process of the slip plane was simulated by the freeze‒thaw process of frozen hydrosol. The experimental analysis showed that the centre frequency of the high-frequency part of the dangerous rock mass model and bedrock mass model decreased as the frozen surface continued to melt. As the dangerous rock mass model and the bedrock mass model continued to fit, the centre frequency of the high-frequency part of the two rock mass models rebounded. This phenomenon showed that the damage degree of the slip plane between the dangerous rock mass and the bed rock mass can be effectively reflected by the centre frequency of the high-frequency part of the two rock mass models. During the experiment, the dangerous rock mass did not slide in the whole process, indicating that the deformation index has difficulty reflecting the stability of the hidden dangerous rock mass. In addition, the application conditions of using the natural frequency characteristics of dangerous rock mass and the scattering characteristics of elastic wave in the damage identification of structural plane were analysed: (1) when the structural plane has macrofracture, the change of natural frequency of dangerous rock mass should be used to analyse the damage degree of structural plane; (2) when there is no macrofracture of the structural plane, the characteristics of elastic wave scattering should be used to analyse the damage degree of the structural plane. This study provided a new idea for the prevention and control of dangerous rock masses and is expected to provide a useful reference for the automation of dangerous rock mass prevention and control.

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Delineation of Heritage Value Zones for Conservation Purposes in the Non Nuoc Cao Bang UNESCO Global Geopark, Vietnam

Nguyen,

Kieu

2024

Geoheritage

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Landslide susceptibility assessment for warning of dangerous areas in Tan Uyen district, Lai Chau province, Vietnam

Cited by 4 publications

References 62 publications

GIS-based modeling of landslide susceptibility zonation by integrating the frequency ratio and objective–subjective weighting approach: a case study in a tropical monsoon climate region

GIS-based modeling of landslide susceptibility zonation by integrating the frequency ratio and objective–subjective weighting approach: a case study in a tropical monsoon climate region

Experimental Study on the Vibration Characteristics of Dangerous Rock Mass under Constant Micromotion

Delineation of Heritage Value Zones for Conservation Purposes in the Non Nuoc Cao Bang UNESCO Global Geopark, Vietnam

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