Article
Engineering, Geological
Jiang Xiong, Chuan Tang, Hai Tang, Ming Chen, Xianzheng Zhang, Qinyun Shi, Ming Chang, Lingfeng Gong, Ning Li, Mingwei Li
Summary: This study investigates the long-term changes in hillslope erosion and landslide-channel coupling by quantifying the coupling degree using a landslide-channel coupling index (LCCI) and estimating the hillslope erosion driven by landslides. The results show that the overall landslide activity and coupling degree decayed following the Wenchuan earthquake, and the hillslope erosion driven by landslides also followed a power law decay. Although the coupling degree and sediment supply to channels have decreased, strong rainfall events can still result in significant sediment delivery.
ENGINEERING GEOLOGY
(2022)
Article
Engineering, Geological
S. Zhang, J. Y. Peng, M. P. Zhang, Y. B. Chen, Y. Y. Han, C. X. Su, D. Y. Zhuang
Summary: The occurrence of debris flows after the Wenchuan earthquake resulted in significant damage to infrastructure and the loss of many lives. This study analyzed the evolution of debris flows over a 10-year period after the earthquake to gain a better understanding of its long-term impact. Through remote sensing images and field investigations, the movement of loose deposits in debris flow gullies along Provincial Road 303 was tracked. The study found a gradual transportation of loose deposits into channels and a decreasing trend in mass transport rate from 2010 to 2018. The occurrence frequency, magnitude, and mobility of debris flows were also found to decrease.
ENGINEERING GEOLOGY
(2023)
Article
Chemistry, Analytical
Cheng Zhong, Chang Li, Peng Gao, Hui Li
Summary: Post-seismic vegetation recovery is crucial for local ecosystem and slope stability, and this study found that about 60% of landslide vegetation in the Wenchuan earthquake area reaches pre-earthquake levels within ten years and is expected to fully recover within 20 years. Vegetation recovery is significantly influenced by topographic factors, especially elevation and slope, while being minimally related to distance to epicenter, fault ruptures, and rivers.
Article
Engineering, Geological
Gonghui Wang, Fanyu Zhang, Gen Furuya, Koichi Hayashi, Wei Hu, Mauri McSaveney, Runqiu Huang
Summary: This paper presents a case study of a large landslide triggered by the 2008 Wenchuan earthquake, analyzing the movement mechanisms and potential channelized movements of displaced landslide materials. The study utilized field surveys and subsurface investigations to estimate the thickness of landslide deposits at different locations, providing insights for enhancing numerical simulation of landsliding and reuse of deposit areas.
ENGINEERING GEOLOGY
(2021)
Article
Environmental Sciences
Sikui Zhang, Lin Bai, Yuanwei Li, Weile Li, Mingli Xie
Summary: Landslides are a common global disaster that poses a threat to people's lives and properties. Landslide susceptibility mapping (LSM) plays a crucial role in mitigating risks. This study proposes a model based on a high-level convolutional neural network (CNN) for LSM and compares its performance with traditional machine learning methods. The CNN-based approach achieves the best performance in terms of prediction accuracy and shows excellent capability in landslide susceptibility assessment.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2022)
Article
Chemistry, Analytical
Chang Li, Bangjin Yi, Peng Gao, Hui Li, Jixing Sun, Xueye Chen, Cheng Zhong
Summary: This study conducted a comparative test on landslide detection models in the Wenchuan earthquake area, finding that VGG models have the highest precision, ResNet models have high recall, DenseNet models perform moderately, and UNet+ also achieves good results. Larger sample sets lead to better performance for VGG, ResNet, and DenseNet, while deeper layers improve the detection results for ResNet and DenseNet.
Article
Engineering, Geological
Yigen Qin, Dongli Zhang, Wenjun Zheng, Jingjun Yang, Gan Chen, Lei Duan, Shumin Liang, Hui Peng
Summary: Earthquake-triggered landslides are influenced by both seismogenic faults and topography. The dip angle of the fault has a controlling impact on the spatial distribution of the landslides. Higher dip angles result in a concentrated distribution of landslides on both sides of the fault, while lower dip angles lead to a more pronounced hanging wall effect. The topography, particularly the relative elevation differences, is closely related to the landslides, forming a single peak within a local relief range of 400-1600 m.
Article
Engineering, Geological
Ajaya Pyakurel, Bhim Kumar Dahal, Dipendra Gautam
Summary: This study evaluated the adequacy of various machine learning models using data from the 2015 Gorkha earthquake in Nepal and assessed the importance of various landslide conditioning factors. The results showed that the Extremely Randomized Trees Classifier outperformed other machine learning algorithms in predicting earthquake-induced landslides.
SOIL DYNAMICS AND EARTHQUAKE ENGINEERING
(2023)
Article
Environmental Sciences
Xinyi Guo, Bihong Fu, Jie Du, Pilong Shi, Qingyu Chen, Wenyuan Zhang
Summary: This study compared landslide susceptibility models in seismic regions with different lithological features by selecting the Jiuzhaigou and Minxian earthquakes, finding that a coupling model is suitable for both rock and loess landslides.
Article
Engineering, Geological
Xianzheng Zhang, Chenxiao Tang, Ning Li, Jiang Xiong, Ming Chen, Mingwei Li, Chuan Tang
Summary: It is recognized that post-seismic mass movements usually occur in the first few years after an earthquake. However, a major debris flow occurred in Wenchuan County in 2019, 11 years after the 2008 Wenchuan earthquake, indicating a different temporal evolution pattern. The investigation results show that active landslides mainly occurred in high-elevation areas without vegetation cover, and the debris flows were mainly initiated by run-off erosion of debris in steep channels. Additionally, more debris flows occurred in the northern part of the study area, where the relative annual rainfall and coseismic landslide density were low.
Article
Computer Science, Interdisciplinary Applications
Suyue Han, Bin Liu, Xinyue Fan, Tingting Feng, JingJing Yang, Zhongli Zhou, Hao Gong, Jie Luo
Summary: Earthquake-stricken areas are prone to frequent and long-lasting geological disasters. Therefore, conducting a scientific and reasonable study on the spatial prediction of post-earthquake landslide hazards is crucial for the sustainable development of these areas. This research analyzes the spatial effects of landslide hazards using KDE and utilizes the singularity index to select negative samples, reducing the impact of uncertainty on the model. By selecting eight landslide influencing factors and calculating their weights using geodetector, a KDE-MDBN landslide hazard spatial susceptibility assessment model is constructed. The results show that this model accurately reflects the spatial distribution characteristics of landslide hazards, providing valuable reference information for future susceptibility assessments.
ENVIRONMENTAL MODELLING & SOFTWARE
(2023)
Article
Geosciences, Multidisciplinary
Yange Li, Jiaming Yang, Zheng Han, Jiaying Li, Weidong Wang, Ningsheng Chen, Guisheng Hu, Jianling Huang
Summary: In this paper, we proposed a novel ensemble deep learning model, GL-ResNet, which combines ResNet blocks, LSTM structures, and a newly proposed GoogLeNet block (GBlk) for landslide susceptibility mapping. The model outperformed other conventional models in terms of AUC and Accuracy when validated using historical landslide data and landslide factors in the Wenchuan area in southwestern China.
GEOMATICS NATURAL HAZARDS & RISK
(2023)
Article
Engineering, Electrical & Electronic
Pingheng Li
Summary: This study explores the pollution risk and resource utilization potential of vegetable waste on land resources through the analysis of remote sensing data and literature collection. By establishing a land use reference database and using geographical information system, key areas for controlling vegetable waste pollution are determined, and the possibility of waste utilization is compared. In addition, the study conducts a preliminary analysis of the causes and cumulative characteristics of polluted soil.
JOURNAL OF SENSORS
(2022)
Article
Chemistry, Multidisciplinary
Haoran Fang, Yun Shao, Chou Xie, Bangsen Tian, Yu Zhu, Yihong Guo, Qing Yang, Ying Yang
Summary: Earthquakes cause landslides and change the distribution of landslide risk. This study aims to update landslide susceptibility maps after the Jiuzhaigou earthquake using the DS-InSAR technique. The results show that the DS-InSAR technology effectively improves the performance of the landslide susceptibility mapping model and helps track future landslide susceptibility changes. Ecological restoration plays a role in reducing landslide susceptibility.
APPLIED SCIENCES-BASEL
(2022)
Article
Geosciences, Multidisciplinary
Jiang Xiong, Chuan Tang, Lingfeng Gong, Ming Chen, Ning Li, Qingyun Shi, Xianzheng Zhang, Ming Chang, Mingwei Li
Summary: The study revealed that after the Wenchuan earthquake, landslide sediment in the alpine basin was mainly transferred to the channels through specific processes, with surface runoff erosion becoming the primary transfer process later on. Analysis of a remote sensing image time series confirmed that the sediment transfer process in the alpine basin was intense during the first 5 years post-earthquake, gradually weakening thereafter and potentially requiring 20 years or longer to return to pre-earthquake levels.
