Investigations and assessment of the landslide hazards of Fengdu county in the reservoir region of the Three Gorges project on the Yangtze River

Wu, Shuren; Jin, Yimin; Zhang, Yongshuang; Shi, Jiansheng; Dong, Chunyan; Wei-zhi, Lei; Shi, Liangsheng; Tan, Chengxuan; Hu, Daogong

doi:10.1007/s00254-003-0911-1

Cited by 35 publications

(22 citation statements)

References 3 publications

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“…It was first defined by Yin to calculate the susceptibility for the occurrence of a slide [17] , and developed by Westen [18] . Now it is widely used for landslide danger assessment [19][20][21] . We choose it to carry out the landslide susceptibility mapping.…”

Section: Information Modelmentioning

confidence: 99%

Effects of raster resolution on landslide susceptibility mapping: A case study of Shenzhen

Tian

Xiao

Liu

et al. 2008

Sci. China Ser. E-Technol. Sci.

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Resolution has been playing a significant role in landslide susceptibility mapping and hazard assessment. Based on geographical information system (GIS) and information model, the effects of raster resolution on landslide susceptibility mapping are studied in a central area of Shenzhen, China. Eight factors are selected to calculate landslide susceptibility with eleven groups of different resolutions (5 to 190 m). It has been found that a finer resolution does not necessarily lead to a higher accuracy of landslide susceptibility mappings, while the result of 90 m-resolution has the best accuracy and the 150 m-resolution has the worst one. The accuracy curve is in a shape of "W" along with resolution decreasing: 1) The accuracy decreases from 5 to 70 m; 2) and then the best accuracy appears at 90 m, which is almost the same as the mean size of landslides in study area; 3) the accuracy decreases again from 110 to 150 m; 4) and finally the accuracy increases from 150 to 190 m. The sensitivity analysis indicates that the effects of raster resolution are mainly caused by the resolution impact on landform parameter derivation, while factors like geology and human activity are very insensitive to resolutions. A further study shows that in flat, ridge, and slope foot terrains, the susceptibility mapping result is sensitive to resolution, but in the sloping surface area the sensitivity is much less sensitive to resolution. At last, by choosing study areas with different sizes, it has also been found that the optimal resolutions are variable due to size of study area. But the study area is larger than a threshold, which is 135 km 2 in this study, and the optimal resolution is almost fixed. resolution sensitivity, landslide, susceptibility mapping, digital elevation model (DEM), information model Landslide susceptibility mapping is very important in landslide study and risk management engineering. In order to depict the spatial distribution of landslide susceptibility, many influential factors, as well as a properly selected mathematical or statistical model are needed. This kind of

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Section: Information Modelmentioning

confidence: 99%

Effects of raster resolution on landslide susceptibility mapping: A case study of Shenzhen

Tian

Xiao

Liu

et al. 2008

Sci. China Ser. E-Technol. Sci.

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“…The relationship between landslide location and the spatial distribution of instability parameters was evaluated through the 'information value' method, a statistical bivariate technique, to derive quantitative indices for each parameter class (Yin and Yan 1988;Cevik and Topal 2003;Wu et al 2004). In this method, the 'information value' for a parameter class is equal to:…”

Section: Information Values For Different Parameter Classesmentioning

confidence: 99%

Regional assessment of landslide impact in the Three Gorges area, China, using ASTER data: Wushan-Zigui

2007

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This paper is focussed on the hazard impact of landslides in the Three Gorges, and represents the progression of our ongoing study on regional land instability assessment in the Three Gorges area using imagery data from the Advanced Spaceborne Thermal Emission Radiometer (ASTER). The key development here is the establishment of a model that integrates land instability with several factors that can relate hazard to human life, such as slope failures occurring in proximity to built-up areas and roads, and areas of high landslide risk along the bank of Yangtze and its major tributaries. The method correctly identifies some of the known destructive landslides in the region, like Qianjiangping and Huangtupo, as belonging to areas of potentially high landslide impact. Our results suggest that several population centres, including the towns of Wushan and Badong, are rated at high landslide hazard levels. This study highlights the importance of differentiating between landslide types within susceptibility assessment, and identifies those locations in the Three Gorges where the probability of landslide occurrence with negative impact to life and property is greatest.

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“…These methods often are built on the relations between a geohazard and environmental factors such as lithology, tectonism, rainfall and so on. With the help of GIS and stereoscopic analysis of aerial photographs, they have developed several methods for forecasting spatial stability, such as the logistical regression model, information model and so on (Zeng et al 2006;Liu et al 2004;Zhang et al 2005;Wu et al 2004;Dai et al 2001;Wu et al 2001). These methods can be used in geohazard Fig.…”

Section: Conjugate-joint Failure Modementioning

confidence: 99%

Assessment of the risk of rockfalls in Wu Gorge, Three Gorges, China

et al. 2009

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In 2007 and 2008, six big damaging rockfalls occurred at four sites in Wu Gorge, the second gorge of the Three Gorges, China. Detailed surveys and aerial-photographic interpretation identified 104 potentially dangerous rock masses. This paper reviews previous rock-mass risk ratings, examines dangerous rockmass structure and presents a new assessment system for rockfall risk (ASRFR) in the Wu Gorge area. The ASRFR considers 15 factors: seven factors for hazard and eight factors for consequence. Relative importance weights for these factors are ascertained using an analytic hierarchy process. Using an equation to calculate the risk, the 104 dangerous rock masses were divided into three risk groups: high risk (33 sites), medium risk (33 sites) and low risk (38 sites). The ASRFR analysis can be used to divide the shipping route through the Wu Gorge into seven courses each of one of three classes: safe-route regions, yellow-alarm regions and red-alarm regions. The system provides geological information and a rockfall-risk management tool for local government and the shipment-route department.

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Investigations and assessment of the landslide hazards of Fengdu county in the reservoir region of the Three Gorges project on the Yangtze River

Cited by 35 publications

References 3 publications

Effects of raster resolution on landslide susceptibility mapping: A case study of Shenzhen

Effects of raster resolution on landslide susceptibility mapping: A case study of Shenzhen

Regional assessment of landslide impact in the Three Gorges area, China, using ASTER data: Wushan-Zigui

Assessment of the risk of rockfalls in Wu Gorge, Three Gorges, China

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