Assessment of Geomorphic Processes and Active Tectonics in Con Voi Mountain Range Area (Northern Vietnam) Using the Hypsometric Curve Analysis Method

Liem, Ngo Van; Dat, Nguyen Phuc; Dieu, Bui Tien; Phai, Vu Van; Trinh, Phan Trong; Vinh, Hoang Quang; Phong, Tran Van

doi:10.15625/0866-7187/38/2/8602

Cited by 6 publications

(4 citation statements)

References 18 publications

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“…In multiclass classification, the performance of a classification model is typically evaluated using various metrics to assess its accuracy and effectiveness in classifying data into multiple classes. The evaluation metrics used include accuracy, precision, and recall [66]. The F1 score is the harmonic mean of precision and recall, representing a balanced average between accuracy and recall [19], [67].…”

Section: G Evaluation Methodsmentioning

confidence: 99%

Predictive Modeling of Landslide Susceptibility in Soft Soil Canal Regions: A Focus on Early Warning Systems

Anh,

Danh,

Nguyen

2023

IJACSA

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The Mekong Delta (MD) has suffered significant losses in land resources, economic damage, and human and property casualties due to recent landslides. An early warning system for landslides is a valuable tool for identifying the effectiveness and timely detection of changes in the soil to promptly determine solutions and minimize damage caused by landslides in an area. In this study, we apply a machine learning approach based on the Long Short-Term Memory (LSTM) algorithm to experiment with early warning of landslide events on soft soil in the MD. Horizontal pressure, the change in inclination angles of the sensor pile due to the soil mass sliding in both the x and y directions, and the warning levels are determined based on the deformation and displacement of the soil along the riverbank, considered candidate factors for inputs in the model. Data from the established sensor system is used to train the model, creating a training and testing dataset of 374,415 samples. The accuracy of the detection and classification threshold of the system is proposed to be measured using the average F1 score derived from precision and recall values. The optimal prediction results are gleaned from an observational window of 4 minutes and 30 seconds to project roughly 2 hours into the future. The validation process resulted in recall, precision, and F1-score stands at 0.8232 with a remarkably low standard deviation of about 1%. The successful application of this research can help identify abnormal events leading to riverbank landslides due to loading, thereby creating conditions for developing a reliable information system to provide managers with the ability to suggest timely solutions to protect the lives, property of residents and infrastructures.

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Section: G Evaluation Methodsmentioning

confidence: 99%

Predictive Modeling of Landslide Susceptibility in Soft Soil Canal Regions: A Focus on Early Warning Systems

Anh,

Danh,

Nguyen

2023

IJACSA

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“…For the geological environment, a geological characterization is developed, geomorphological landforms, in addition to a morphometric analysis representing the quantitative analysis of the geographical surface [51], with the aim of deepening its characterization and obtaining information on the hydrological response of the basin. All this because these factors are considered, among the most relevant in the development of flow-type landslides [52][53][54][55], which in turn are influenced by each other in different ways and degrees.…”

Section: In Situ Iterative and Participatory Mixed Methodologymentioning

confidence: 99%

The Geo-Social Model: A Transdisciplinary Approach to Flow-Type Landslide Analysis and Prevention

et al. 2021

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Landslide disaster risks increase worldwide, particularly in urban areas. To design and implement more effective and democratic risk reduction programs, calls for transdisciplinary approaches have recently increased. However, little attention has been paid to the actual articulation of transdisciplinary methods and their associated challenges. To fill this gap, we draw on the case of the 1993 Quebrada de Macul disaster, Chile, to propose what we label as the Geo-Social Model. This experimental methodology aims at integrating recursive interactions between geological and social factors configuring landslide for more robust and inclusive analyses and interventions. It builds upon three analytical blocks or site-specific environments in constant co-determination: (1) The geology and geomorphology of the study area; (2) the built environment, encompassing infrastructural, urban, and planning conditions; and (3) the sociocultural environment, which includes community memory, risk perceptions, and territorial organizing. Our results are summarized in a geo-social map that systematizes the complex interactions between the three environments that facilitated the Quebrada de Macul flow-type landslide. While our results are specific to this event, we argue that the Geo-Social Model can be applied to other territories. In our conclusions, we suggest, first, that landslides in urban contexts are often the result of anthropogenic disruptions of natural balances and systems, often related to the lack of place-sensitive urban planning. Second, that transdisciplinary approaches are critical for sustaining robust and politically effective landslide risk prevention plans. Finally, that inter- and trans-disciplinary approaches to landslide risk prevention need to be integrated into municipal-level planning for a better understanding of—and prevention of—socio-natural hazards.

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“…In the Da River zone there is the occurrence of the Tu Le massif formed in the middle-late Jurassic (176-145 Ma) and late Cretaceous (80-60 Ma) (Tong et al 1996;Carter and Clift 2008). The main tectono-metamorphic activity of the Ma River shear zone is the Indosinian orogeny at ~250 Ma (Tong et al 1996;Liem et al 2016).…”

Section: Geological Settingmentioning

confidence: 99%

“…The Day Nui Con Voi Belt appears as the elongated NW trending core of metamorphic rocks including garnet-biotite-sillimanite gneiss and garnet-biotite gneiss. This belt also consists of metamorphism amphibolite beds, migmatite, mylonite bands and small marble lenses (Liem et al 2016). The rocks are strongly foliated.…”

Section: Geological Settingmentioning

confidence: 99%

Gospodarka Surowcami Mineralnymi - Mineral Resources Management

Chau,

Pieczonka,

Piestrzyński

et al. 2022

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Assessment of Geomorphic Processes and Active Tectonics in Con Voi Mountain Range Area (Northern Vietnam) Using the Hypsometric Curve Analysis Method

Cited by 6 publications

References 18 publications

Predictive Modeling of Landslide Susceptibility in Soft Soil Canal Regions: A Focus on Early Warning Systems

Predictive Modeling of Landslide Susceptibility in Soft Soil Canal Regions: A Focus on Early Warning Systems

The Geo-Social Model: A Transdisciplinary Approach to Flow-Type Landslide Analysis and Prevention

Gospodarka Surowcami Mineralnymi - Mineral Resources Management

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