Landslide displacement analysis based on fractal theory, in Wanzhou District, Three Gorges Reservoir, China

Gui, Lei; Yin, Kunlong; Glade, Thomas

doi:10.1080/19475705.2015.1137241

Cited by 12 publications

(3 citation statements)

References 67 publications

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“…The area belongs to the subtropical humid monsoon climate zone with an average annual rainfall of 1191.3 mm. The precipitation is mostly concentrated in the warm season from May to September (Gui et al 2016;Xiao et al 2019). Rainfall is the common trigger of landslides in the area, often causing fresh landslides and deformation of old landslides during the raining seasons.…”

Section: Study Areamentioning

confidence: 99%

Effect of landslide spatial representation and raster resolution on the landslide susceptibility assessment

Yang,

Li,

Sun

et al. 2024

Environ Earth Sci

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The quality of landslide susceptibility assessment is effected by landslide inventory and raster resolution.The point landslide inventory and polygon landslide inventory are usually two spatial representations. In order to explore the effect of spatial representation and raster resolution on the assessment result of landslide susceptibility, two spatial representations (point and polygon) in landslide inventory map and four raster resolution (25m, 50m, 75m and 100m) were introduced in the landslide susceptibility model. A total of 489 landslides with accurate boundary information were obtained in Wanzhou District, Chongqing, China. Five geo-environmental predictors and random forest model as a data-driven model were used in the landslide susceptibility assessment. The research results demonstrate that (i) For two spatial representations, the prediction performance of polygon models was higher than that of point models by comparing reliability and accuracy. (ii) For four different raster resolution, the good prediction performance occurred in the 25m model. (iii) Through the analysis of model robustness, the lowest uncertainty was the 25m resolution model, which has more stable prediction performance. The research is useful for selecting the raster resolution and spatial representations in the data-driven landslide susceptibility assessment.

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Section: Study Areamentioning

confidence: 99%

Effect of landslide spatial representation and raster resolution on the landslide susceptibility assessment

Yang,

Li,

Sun

et al. 2024

Environ Earth Sci

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“…Photogrammetric In the Wanzhou district in the middle Yangtze River, is seriously threatened by deep-seated landslides. It is in eastern Chongqing city, covers an area of about 3459 km 2 , and is about 280 km upstream of the Three Gorges Dam (Gui et al 2016). Wanzhou has a monsoon-humid subtropical climate with four distinct seasons.…”

Section: Introductionmentioning

confidence: 99%

The Kangjiapo landslide in Wanzhou district, Chongqing city: reactivation of a deep-seated colluvial landslide in the Three Gorges Reservoir

Xie,

Li,

Miao

et al. 2023

Bull Eng Geol Environ

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How to reduce landslide risk economically and effectively is a very meaningful and challenging research topic. In particular, it is di cult and expensive to completely control deep-seated colluvial landslides. Taking the Kangjiapo landslide in Wanzhou district, Chongqing city, China as a case, this study focuses on measures to prevent and control the risks of deep-seated colluvial landslides through detailed investigation and monitoring. The Kangjiapo landslide is located in the Three Gorges Reservoir area, and it is part of a famous ancient landslide named the Pipaping landslide. The steep sliding surface in the rear was not found during the rst treatment, the Kangjiapo landslide has been reactivated since 2015. Field investigations, monitoring, borehole and related test were conduct to identify the landslide characteristics and mechanisms. The landslide deformation was not spatially or temporally uniform according to monitoring data analysis. The landslide is less likely to fail in general because the sliding surface in the front is very gentle. The reasons for Kangjiapo landslide reactivation could include the decline of the reservoir water level, a steep sliding surface in the rear, the existence of a sliding zone with low strength due to a long period of reservoir immersion. Landslide risk mitigation measures are proposed for the deep-seated landslide, including stabilizing piles nearby the road, and a BeiDou Navigation Satellite System and MEMS inclinometers in the platform.

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“…Since the impoundment of the Three Gorges Reservoir in 2003, many dormant landslides have been reactivated, mainly triggered by water level fluctuation and rainfall (Gui 2014). The well-known Anlesi Landslide, Caojiezi Landslide, and Taibaiyan Landslide are all ancient landslides with a volume of more than ten million cubic meters, and they all developed in sub-horizontally dipping sandstone and mudstone interbedded strata (Gui et al 2016).…”

Section: Introductionmentioning

confidence: 99%

A step beyond landslide susceptibility maps: a simple method to investigate and explain the different outcomes obtained by different approaches

et al. 2019

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Landslide susceptibility assessment is vital for landslide risk management and urban planning, and the scientific community is continuously proposing new approaches to map landslide susceptibility, especially by hybridizing state-of-the-art models and by proposing new ones. A common practice in landslide susceptibility studies is to compare (two or more) different models in terms of AUC (area under ROC curve) to assess which one has the best predictive performance. The objective of this paper is to show that the classical scheme of comparison between susceptibility models can be expanded and enriched with substantial geomorphological insights by focusing the comparison on the mapped susceptibility values and investigating the geomorphological reasons of the differences encountered. To this aim, we used four susceptibility maps of the Wanzhou County (China) obtained with four different classification methods (namely, random forest, index of entropy, frequency ratio, and certainty factor). A quantitative comparison of the susceptibility values was carried out on a pixel-by-pixel basis, to reveal systematic spatial patterns in the differences among susceptibility maps; then, those patterns were put in relation with all the explanatory variables used in the susceptibility assessments. The lithological and morphological features of the study area that are typically associated to underestimations and overestimations of susceptibility were identified. The results shed a new light on the susceptibility models, identifying systematic errors that could be probably associated either to shortcomings of the models or to distinctive morphological features of the test site, such as nearly flat low altitude areas near the main rivers, and some lithological units.

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Landslide displacement analysis based on fractal theory, in Wanzhou District, Three Gorges Reservoir, China

Cited by 12 publications

References 67 publications

Effect of landslide spatial representation and raster resolution on the landslide susceptibility assessment

Effect of landslide spatial representation and raster resolution on the landslide susceptibility assessment

The Kangjiapo landslide in Wanzhou district, Chongqing city: reactivation of a deep-seated colluvial landslide in the Three Gorges Reservoir

A step beyond landslide susceptibility maps: a simple method to investigate and explain the different outcomes obtained by different approaches

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