Catastrophic landslides and frontiers of landslide science

Vilímek, Vít; Wang, Fawu; Strom, Alexander

doi:10.1007/s10346-021-01765-8

Cited by 4 publications

(1 citation statement)

References 19 publications

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“…Slope angle, height, rock weathering, fissures, geological structure, hydrogeological conditions, etc. are all factors that cause landslides (Dai et al, 2002;Vilímek et al, 2021). Quickly identifying the deformation of slope areas can provide help for landslide investigation and interpretation.…”

Section: Introductionmentioning

confidence: 99%

Automatic Identification of Slope Active Deformation Areas in the Zhouqu Region of China With DS-InSAR Results

Wang

Cui

Che

et al. 2022

Front. Environ. Sci.

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Zhouqu has narrow terrain and steep mountains on both sides of the Bailong River. It is one of the most serious landslide disaster areas in China due to the fracture development of rock and complex geological conditions. To identify the slope active deformation areas (SADAs) in the region accurately, the Distributed Scatter Interferometric Synthetic Aperture Radar (DS-InSAR) technique was used based on the process of the sentinel ascending and descending orbit data. Deformation results of the region from January 2019 to February 2021 were obtained. A new method for automatically identifying SADA while accounting for radar geometric distortion was established to quickly and efficiently identify SADA from the large-scale deformation results in the region. The SADA identified by this method can eliminate the region affected by geometric distortion. Based on the method, 62 SADAs including 12 in the upstream and 50 in the downstream of Zhouqu County were identified. Compared with 12 typical landslide areas in the study area, 9 typical landslides match with the detected SADA. The SADA is mainly concentrated in the section from the downstream of Zhouqu County to Lianghekou, and statistical analysis showed that the vegetation coverage and topographic slope angle are two main reasons for this difference. At the same time, the analysis of the typical landslide time-series deformation reveals that the slope deformation activity mainly takes place during the rainy season. It has high correlation with precipitation. These results of the study provided an important reference for geological disaster prevention in the Zhouqu region.

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Section: Introductionmentioning

confidence: 99%

Automatic Identification of Slope Active Deformation Areas in the Zhouqu Region of China With DS-InSAR Results

Wang

Cui

Che

et al. 2022

Front. Environ. Sci.

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Mapping of Landslide Susceptibility Using State-of-the-Art Method and Geospatial Techniques in the Rangamati District in the Chattogram Hill Tracts Region of Bangladesh

Nafee,

Al Fahad,

Tuhin

et al. 2024

Advances in Natural and Technological Hazards Research

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Integrating development inhomogeneity into geological disasters risk assessment framework in mountainous areas: a case study in Lushan–Baoxing counties, Southwestern China

He¹,

Ding²,

Zheng³

et al. 2023

Nat Hazards

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The impact of geohazards on mountainous settlement have been focused in recent years. Despite the booming development in the modeling of hazards and vulnerability, the risk assessment in mountainous area still have di culty in absence of re ned data. Moreover, development imbalances widely exist in mountainous areas, which ignored in previous researches. In this study, the development imbalances were quanti ed and integrated into risk assessment framework, which be applied in Lushan and Baoxing mountainous areas. The re ned distribution of soc-economic data is obtained by using spatialization from the census, which eases the situation of the lack of data. Then, a frequency ratio-random forest (FR-RF) model is conducted to evaluate the geohazards hazard. Meanwhile, vulnerability was evaluated using triangular fuzzy number-based analytic hierarchy process (TFN-AHP). In vulnerability assessment, the inhomogeneity index is integrated to evaluate the imbalance between indicators, the use of which can reward a more realistic vulnerability result. Finally, risk map was produced by multiplying hazard and vulnerability. The risk assessment framework is successfully applied in Lushan and Baoxing counties of Southwestern China, which is a typical mountainous area with frequent earthquakes, uneven development, and a lack of high-precision data. The total area of high and extremely high hazard (868.82 km 2 ), vulnerability (258.66 km 2 ), and risk (113.49 km 2 ) are estimated and mapped.

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Catastrophic landslides and frontiers of landslide science

Cited by 4 publications

References 19 publications

Automatic Identification of Slope Active Deformation Areas in the Zhouqu Region of China With DS-InSAR Results

Automatic Identification of Slope Active Deformation Areas in the Zhouqu Region of China With DS-InSAR Results

Mapping of Landslide Susceptibility Using State-of-the-Art Method and Geospatial Techniques in the Rangamati District in the Chattogram Hill Tracts Region of Bangladesh

Integrating development inhomogeneity into geological disasters risk assessment framework in mountainous areas: a case study in Lushan–Baoxing counties, Southwestern China

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