Landslides最新文献

{"title":"Watershed-oriented and multifactor-integrated identification and hazard evaluation of debris-flow-prone watersheds in Danba, China","authors":"Xiaojun Luo, Mingyue Hou, Jiayin Fan, Rui Li, Jiawen Bao, Chenhao Li, Hang Li, Jie Deng","doi":"10.1007/s10346-024-02326-5","DOIUrl":"https://doi.org/10.1007/s10346-024-02326-5","url":null,"abstract":"<p>Early identification of debris-flow-prone watersheds and determination of the initiation location of debris flows are prerequisites for debris flow monitoring and early warning. The high altitude, steep slope, dense vegetation, and influence of numerous factors triggering debris flows (FTDFs) in Danba, China, pose great difficulties in identifying debris-flow-prone watersheds and locating the possible initiation position of debris flows in this area. We propose a watershed-oriented and multifactor-integrated (WOMI) method for identifying debris-flow-prone watersheds in Danba. This method integrates various FTDFs, uses the watershed as an analysis unit, and detects the debris-flow-prone watersheds with a random forest (RF) algorithm. Moreover, we propose a statistical similarity metric to evaluate the rationality of identification results and introduce the extenics theory to evaluate the debris-flow hazard of the identified debris-flow-prone watersheds and their tributaries, thereby locating the possible initiation positions of debris flow in the identified debris-flow-prone watersheds. Based on 26 FTDFs derived from multi-source data between 2015 and 2019 in Danba, 36 new debris-flow-prone watersheds between 2015 and 2019 were discovered in this study. Nine debris-flow-prone watersheds and their 17 tributaries have very high hazard. “6.17” Meilong Valley debris flow just erupted in one of the identified debris-flow-prone watersheds in 2020. The statistical analysis and occurrence status of debris flows validated the proposed methodology and the identified debris-flow-prone watersheds in Danba. The research results of this article assisted in the investigation, early warning, and prevention of debris flows in Danba.</p>","PeriodicalId":17938,"journal":{"name":"Landslides","volume":"1116 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142197028","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Study cases of complex paleo-landslides in the south of France","authors":"Kévin Elkharrat, Catherine Homberg, Sara Lafuerza, Nicolas Loget, Muriel Gasc-Barbier, Stephanie Gautier","doi":"10.1007/s10346-024-02329-2","DOIUrl":"https://doi.org/10.1007/s10346-024-02329-2","url":null,"abstract":"","PeriodicalId":17938,"journal":{"name":"Landslides","volume":"43 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142197002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A cross-spatial network based on efficient multi-scale attention for landslide recognition","authors":"Xu Zhang, Liangzhi Li, Ling Han","doi":"10.1007/s10346-024-02323-8","DOIUrl":"https://doi.org/10.1007/s10346-024-02323-8","url":null,"abstract":"<p>Landslide disasters are one of the frequently occurring geological hazards, posing a significant threat to human life and property safety. Swift and accurate identification of landslide areas is crucial for disaster prevention and mitigation. Current object detection algorithms have limitations in the localization and recognition of landslide areas. To address this issue, this paper proposes a cross-spatial network based on efficient multi-scale attention (EMA-Net) landslide recognition model. The proposed EMA-Net model incorporates the efficient multi-scale attention (EMA) for cross space learning, enhancing the model’s focus on landslide areas. Additionally, by employing convolution with absolute positioning (CoordConv), the positional information of features is retained to enhance the capability of multiscale feature extraction. The utilization of the SCYLLA-IoU (SIoU )loss function enhances regression learning ability for model prediction borders, thereby improving the efficiency and accuracy of the model. To assess its performance, EMA-Net is evaluated against other models, including Yolov5<span>(-)</span>5.0, Yolov5<span>(-)</span>6.1, Yolov7, and Faster-R-CNN. The evaluation demonstrates that the proposed EMA-Net achieves a precision of 0.980, recall of 0.982, and mAP of 0.717, exhibiting clear improvement over the compared networks. Furthermore, through visualized analysis, the proposed network is capable of effectively identifying landslides within a smaller range. Comparative analysis of the aforementioned experiments validates the superiority of the proposed network.</p>","PeriodicalId":17938,"journal":{"name":"Landslides","volume":"1 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142197029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Landslides triggered by the July 2023 extreme rainstorm in the Haihe River Basin, China","authors":"Huiran Gao, Chong Xu, Chenchen Xie, Junxue Ma, Zikang Xiao","doi":"10.1007/s10346-024-02322-9","DOIUrl":"https://doi.org/10.1007/s10346-024-02322-9","url":null,"abstract":"","PeriodicalId":17938,"journal":{"name":"Landslides","volume":"56 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142197030","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reactivated mechanism of a slow-moving landslide with two shear zones based on ring shear test and in situ monitoring","authors":"Mingjie Dai, Deshan Cui, Qiong Chen, Jipeng Wei, Jincheng Wang, Guangcheng Zhang","doi":"10.1007/s10346-024-02320-x","DOIUrl":"https://doi.org/10.1007/s10346-024-02320-x","url":null,"abstract":"<p>The reactivation mechanism of multi-slide landslides entails high complexity, and the shear mechanical properties of high groundwater-level landslides are crucial for analyzing the formation mechanism of reactivated landslides. Taking the K39 landslide of Wenma Expressway in Yunnan Province as the research object, we identified the geological and hydrogeological conditions of the landslide, the physical and mechanical properties of the slip zone soil, and the landslide deformation law using geological mapping, geotechnical engineering, indoor testing, and in situ monitoring. The results show the landslide exhibited alternating acceleration and deceleration movements under seasonal heavy rainfall and high groundwater levels. The shear strength of the soil in the deep sliding zone was greater than that of the soil in the shallow sliding zone. The deep and shallow sliding zone soils showed a decrease in shear strength with increased water content. Moreover, the residual strength of the deep sliding zone soil displayed a negative rate with an increased shear rate. In contrast, the residual strength of the shallow sliding zone soil exhibited a positive rate. Furthermore, under different shear rates, the residual internal friction angle and cohesion of the deep sliding zone soil decreased with increased water content, whereas only the residual internal friction angle of the shallow sliding zone soil followed this pattern. Finally, we performed a sensitivity analysis using the GA-BP neural network for the ring shear test parameters of the deep and shallow sliding zone soils, which included consolidation pressure, water content, and shear rate. Our analysis revealed that the residual strength of deep sliding zone soils is most affected by water content, whereas the residual strength of shallow sliding zone soils is most affected by consolidation pressure. Furthermore, it was found that the effect of water content on residual strength is much greater than the effect of shear rate on residual strength for both deep and shallow sliding zone soils. The study results contribute to a unified understanding of how shear rate affects residual strength mechanisms, support research on shear mechanical properties for multiple landslide revivals, and inform engineering practices and policies in landslide-prone areas.</p>","PeriodicalId":17938,"journal":{"name":"Landslides","volume":"14 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142197033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Rainfall-induced Guilong landslide-mudflow in a terraced field of southwestern China on 22 June 2022","authors":"Fawu Wang, Bo Zhang, Kongming Yan, Weichao Liu, Jie Gao","doi":"10.1007/s10346-024-02332-7","DOIUrl":"https://doi.org/10.1007/s10346-024-02332-7","url":null,"abstract":"<p>Extreme rainfall events, within the context of climate change, pose a heightened risk of geohazards to mountainous regions. On 22 June 2022, a rainstorm-induced landslide-mudflow occurred in a terraced field in Longsheng County, Guangxi Zhuang Autonomous Region, China. The disaster began as a rotational slide, and mobilized into a mudflow with high mobility and long runout, causing significant damage to the local community. This event served as a wake-up call not only for the safety of mountain settlements, but also for the protection of terraced fields as Globally Important Agricultural Heritage Systems. To elucidate the trigger and mudflow mobilization of the event, field investigation, hydrological and agricultural analyses, and laboratory tests were conducted. It was found that the persistent and record-breaking rainfall directly triggered the disaster by increasing pore water pressure. The transition from paddy terraces to dry terraces was deduced to have contributed to a lack of maintenance in the terrace drainage system, thereby heightening the likelihood of landslides. The mudflow mobilization was attributed to excess pore water pressure generated by soil contraction and an undrained condition maintained by low permeability soil. Soil experiencing sliding may be more susceptible to shear contraction, consequently resulting in long-runout motion. Under conditions of increasing extreme rainfall, greater attention needs to be paid to geo-disaster prevention and terraced field protection in mountainous regions.\u0000</p>","PeriodicalId":17938,"journal":{"name":"Landslides","volume":"43 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142197031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Application of the debris-flow hazard index for pipelines in the context of the hydrogeological disaster of February 2023 in São Sebastião, Serra do Mar, Brazil","authors":"Vinicius Queiroz Veloso, Fabio Augusto Vieira Gomes Reis, Victor Cabral, Artur A. Sá, Marcelo Fischer Gramani, Thiago Castro Ribeiro, Agostinho Tadashi Ogura, Claudia Vanessa do Santos Corrêa, Pedro Victor Serra Mascarenhas, Wanderley Russo, Joana Paula Sánchez, Caiubi Emanuel Souza Kuhn, Lucilia do Carmo Giordano","doi":"10.1007/s10346-024-02319-4","DOIUrl":"https://doi.org/10.1007/s10346-024-02319-4","url":null,"abstract":"<p>Debris flows are a type of natural disaster that poses great threat to infrastructure, humans and the environment. In Brazil, debris flows have caused significant damage, especially in the Serra do Mar Mountain region. The increasing frequency and intensity of extreme precipitation events in the country highlights the need for the development of effective landslide risk management strategies. In this study, we analyze the initiation and dynamics of a debris-flow event that occurred in the Toque-Toque Grande watershed based on numerical modeling, as well as the risk that debris-flow occurrences represent to pipeline crossings using the Debris-flow Hazard Index methodology. The Toque-Toque Grande watershed is located in São Sebastião, northern coast of the São Paulo state (Brazil), where in February 18–19, 2023, an unprecedent precipitation event triggered landslides and debris flows. The results revealed that the intensification of extreme precipitation frequency and volume over short periods demands a more in-depth analysis. Instantaneous events, occurring without prior accumulations, are becoming increasingly frequent. It becomes imperative to urgently comprehend their dynamics and their relationship with natural disasters, especially debris flows, and their impact on urban centers and strategic infrastructures along impact routes. The increasing frequency and intensity of extreme precipitation events highlight the need for adaptable risk management strategies focused on prevention to mitigate impacts on infrastructure, society, and the environment. Additionally, the study emphasizes the urgency of structural protection measures following the magnitude of the 2023 event, evidenced by meteorological and geomorphological assessments, highlighting the influence of physical environmental conditions on the formation of debris flows. Computational modeling aided in visualizing the dynamics of the flow, providing crucial understanding for its dynamics. The identification of high-risk areas and the implementation of containment measures, exemplified by the protection structure of Transpetro in the Toque-Toque Grande basin, highlight the importance of proactive structural measures in impact mitigation. Essentially, this study sought to demonstrate the complexity of debris flow risk management, advocating for multidisciplinary approaches, prevention strategies, emergency response, and infrastructure protection in the face of environmental and operational challenges.</p>","PeriodicalId":17938,"journal":{"name":"Landslides","volume":"68 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142197032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Solid–fluid phase transition characteristics of loess and its drag reduction mechanism","authors":"Daozheng Wang, Xingang Wang, Xiaoqing Chen, Qiangbing Huang, Jiading Wang, Baoqin Lian, Fei Wang","doi":"10.1007/s10346-024-02331-8","DOIUrl":"https://doi.org/10.1007/s10346-024-02331-8","url":null,"abstract":"<p>Flow-like events usually occur during heavy rainfall and pose significant threats to ecosystems and human life and property because of their suddenness, high speed, and long distances. To study the solid–fluid transition and subsequent high fluidity and hypermobility mechanism of redeposited loess, we conducted a series of flume tests and rheological tests, and the results showed that loess exhibits different degrees of fluidized movement characteristics under different rainfall intensities, and a rainfall intensity of 90 mm/h was the most likely to trigger loess flowslides. Additional rheological analyses indicated that viscosity (shear rate) bifurcation characterizes the rheological response of loess solid–fluid transition, and the decrease in viscosity caused by shear thinning can explain the drag reduction effect and its high fluidity in the process of solid–fluid transition, which corresponds well with the results of flume tests. We proposed a two-step yielding characteristic and introduced structural dynamics to establish a unified solid–fluid transition model incorporating a hydro-mechanical coupling and rheological property. The model can be used to describe both the solid-like behavior of soil before phase transition using an elastoplastic model and fluid-like behavior after phase transition using a viscoplastic model. The research results provide a new understanding of solid–fluid phase transition characteristics of loess from the perspective of rheology, which can also provide a new idea for studying the fluidization movement of rock avalanches and pyroclastic flows and their geomorphic evolution.</p>","PeriodicalId":17938,"journal":{"name":"Landslides","volume":"48 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141936018","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrating geoinformatics and numerical modelling for landslide back-analysis and forecasting: a proactive mitigation study of the Shiv Bawri landslide","authors":"Avinash Sajwan, G. V. Ramana","doi":"10.1007/s10346-024-02321-w","DOIUrl":"https://doi.org/10.1007/s10346-024-02321-w","url":null,"abstract":"<p>In the monsoon season of 2023, Himachal Pradesh witnessed the catastrophic Shiv Bawri landslide, underscoring the vulnerability of mountainous regions to natural disasters. This study employs advanced geoinformatics and numerical modelling to provide a comprehensive back-analysis and forecasting of landslide dynamics. A detailed methodology encompassing field investigations, drone surveys, and data compilation for rainfall and satellite imagery forms the basis of the analysis. A multi-phase mass flow model and the TRIGRS-derived factors of safety for pre-event and post-event analysis, considering vegetation’s influence through root reinforcement models, are employed. The findings reveal a high correspondence between modelled and actual landslide events, with the models effectively predicting the landslide’s volume, flow height, and velocity. The multi-phase mass flow calculations yield a volume estimate of 4.12 <span>(times)</span> 10⁴ m³ (post-event) and 2.92 <span>(times)</span> 10⁴ m³ (pre-event), with respective validation success rates of 88.99% and 93.9%. The analysis indicates maximum flow height and velocity of 14.2 m and 16.2 m/s for post-event and 12.1 m and 12.6 m/s for pre-event analysis. The study emphasises the necessity of integrating detailed terrain analysis and numerical modelling for effective landslide risk mitigation and preparedness. By providing insights into the complex interplay of natural factors leading to landslides, this research advances the proactive management of landslide risks in susceptible mountainous regions.</p>","PeriodicalId":17938,"journal":{"name":"Landslides","volume":"75 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141884771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using anatomical tree growth responses to date landslide movements","authors":"Karel Šilhán","doi":"10.1007/s10346-024-02324-7","DOIUrl":"https://doi.org/10.1007/s10346-024-02324-7","url":null,"abstract":"<p>The dating of landslide movements is a unique opportunity to learn about their past in the absence of archival data. Dendrogeomorphic methods, based on the study of tree rings, offer an exceptional combination of accuracy and temporal range of dating. However, most landslide studies to date have been based on the analysis of macroscopic growth disturbances in trees. In doing so, the use of anatomical growth responses may be more advantageous in some aspects. Thus, this study aims to introduce the spectrum of anatomical growth responses in trees induced by landslide movements for their dating, substantiating their advantages and limitations, and comparing them with each other. Samples from roots and trunks of sycamore maple (<i>Acer pseudoplatanus</i> L.) growing on a landslide of known time of occurrence (May 2010) were used. Geophysical ERT measurements were performed to test the assumption of subsurface influence of landslide movements on tree growth. Based on the results focused on the intensity of changes in vessel lumen area (VLA) and percentage changes of VLA within the tree ring, anatomical changes identified in four different geomorphic situations on the landslide with expected different effects of landslide movements on tree growth were compared with each other. Responses in tree roots were generally significantly stronger compared to those in tree trunks. However, the short time series and difficult cross-dating of roots can be considered as a disadvantage. On the other hand, the identification of anatomical responses in trees with straight trunks (until now practically not used in landslide research) allows a significant expansion of the number of trees usable for landslide dating in the future.</p>","PeriodicalId":17938,"journal":{"name":"Landslides","volume":"22 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141862596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}