Landslides最新文献

{"title":"Distribution characteristics and cumulative effects of landslides triggered by multiple moderate-magnitude earthquakes: a case study of the comprehensive seismic impact area in Yibin, Sichuan, China","authors":"Yuandong Huang, Chong Xu, Xiangli He, Jia Cheng, Yu Huang, Lizhou Wu, Xiwei Xu","doi":"10.1007/s10346-024-02351-4","DOIUrl":"https://doi.org/10.1007/s10346-024-02351-4","url":null,"abstract":"<p>Sichuan Province, as one of the active seismic regions in China, has historically suffered from strong earthquakes. The Xingwen Ms5.7 earthquake in 2018 and the Changning Ms6.0 earthquake in 2019, two moderate-magnitude earthquakes that occurred in Sichuan Province in recent years, happened in quick succession and triggered numerous landslides under similar geological structural conditions. These events provide a rare case study for researching the distribution characteristics and cumulative effects of landslides triggered by multiple earthquakes. This study aims to explore the distribution characteristics and superposition effects of landslides from these two earthquakes and to reveal the complexity and regularity of landslides triggered by multiple moderate magnitude earthquakes by comparing and analyzing the spatial distribution, scale size, and influence factors of landslides from the two earthquakes. The results show that 455 landslides were triggered by the Xingwen earthquake event and 511 landslides were triggered by the Changning earthquake event. The landslides are all mainly small and medium-sized, covering a total area of about 2.33 km², with similar area frequency distribution trends. There is a certain correlation between the number and area of landslides and each factor. In addition, the landslides are mainly distributed in the middle and lower slopes of slower slopes, and the landslide H/L values are positively correlated with the slope gradient. This study reveals the spatial distribution characteristics and morphological parameter features of landslides triggered by the two earthquakes and their aftershocks, which provides a reference basis for landslide hazard assessment and risk management, as well as a case study and inspiration for the study of landslides under the action of multiple earthquakes.\u0000</p>","PeriodicalId":17938,"journal":{"name":"Landslides","volume":"43 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142197004","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 along the Engineering Corridors in the Northeastern Margin of the Qinghai-Tibet Plateau of China: Comprehensive Inventory and Mechanism Analysis","authors":"Jing Zhang, Jie Chen, Chengqiu Li, Wei Lu, Junming Hao, Pengfei Niu, Kechang Li, Siyuan Ma, Ren-mao Yuan","doi":"10.1007/s10346-024-02341-6","DOIUrl":"https://doi.org/10.1007/s10346-024-02341-6","url":null,"abstract":"<p>Climate change, earthquakes, and human activities are accelerating the degradation of permafrost, leading to loess failures and slope instability. Some engineering corridors (ECs)/infrastructures located on the northeastern margin of the Qinghai-Tibet Plateau (NE-QTP) of China are heavily influenced by landslide phenomena due to being built on permafrost, loess, and seasonally frozen ground. However, few systematic investigations have been carried out in this area. To compile a comprehensive landslide inventory, we visually interpreted 11,914 landslides in GaoFen-6 images taken from 2021 to 2022. We observe that approximately 44.85% of the infrastructures are affected by landslides. Then, based on the ground types and triggering factors, landslides are classified into three types: freeze‒thaw landslides (FTLs), loess landslides (LLs), and general landslides (GLs). More specifically, FTLs are mainly distributed in the boundary regions between permafrost and seasonally frozen ground. The LLs exhibit high-density clustered distribution characteristics. GLs have significant transitional characteristics and commonalities between FTLs and LLs. Furthermore, we apply the geographical detector to determine the controlling factors of the landslides that occurred. We find that the temperature change is the primary controller on the FTLs. The water exhibits a certain correlation with LLs. And the earthquake is the most important factor on the GLs. Our study provides a significant dataset for quantifying the analysis of landslides in NE-QTP.</p>","PeriodicalId":17938,"journal":{"name":"Landslides","volume":"11 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142197006","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":"Progressive deformation mechanism of colluvial landslides induced by rainfall: insights from long-term field monitoring and numerical study","authors":"Li Wang, Keying Zhang, Yushan Chen, Shimei Wang, Dongfang Tian, Xiaowei Li, Yuanyuan He","doi":"10.1007/s10346-024-02344-3","DOIUrl":"https://doi.org/10.1007/s10346-024-02344-3","url":null,"abstract":"<p>Colluvial landslides develop in loose Quaternary deposits, with deformation generally being progressive and crack development dominant in the sliding mass surface layer. With the Tanjiawan landslide in the Three Gorges Reservoir (China) as a case study, field investigations, deformation monitoring, and groundwater level monitoring data were integrated to analyze the landslide deformation characteristics and elucidate the influence of cracks on its deformation. We used numerical simulations, including the finite element and discrete element methods, for investigating the progressive deformation mechanism of rainfall-triggered landslides in the accumulation layer and predicting the failure process. The results indicated that crack formation instigated a preferential seepage channel in the shallow layer of the sliding mass, rainfall infiltration along cracks generated water pressure, and the landslide gradually morphed from a stable into a “step-like” progressive deformation state. Preferential flow inside the cracks effectively elevated the groundwater level within the landslide, and either the number or depth of cracks significantly affected the groundwater seepage field, thereby influencing slide stability. Geological conditions controlled the deformation and failure processes of each landslide section. The uplifted bedrock on the right side blocked the sliding process of the rear sliding mass, and the middle and front sliding masses moved faster but the sliding distance was shorter. The deformation trend is deformation, crack formation, preferential flow occurrence, crack extension, and deformation. The ultimate cause of failure was a steep rise in groundwater level following short duration heavy rainfall or long duration light rainfall.</p>","PeriodicalId":17938,"journal":{"name":"Landslides","volume":"4 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142197005","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":"Physical model experiment of rainfall-induced instability of a two-layer slope: implications for early warning","authors":"Bian Shiqiang, Guan Chen, Xingmin Meng, Yunpeng Yang, Jie Wu, Fengchun Huang, Bing Wu, Jiacheng Jin, Feiyu Qiao, Yan Chong, Donglin Cheng","doi":"10.1007/s10346-024-02339-0","DOIUrl":"https://doi.org/10.1007/s10346-024-02339-0","url":null,"abstract":"<p>Understanding the slope hydrology and failure processes of rainfall-induced landslides is key to landslide early warning; the heterogeneity of soil (e.g., grain-size distribution in different layers) can markedly affect rainfall infiltration and slope failure patterns. However, the hydrological and failure processes of heterogeneous slopes layered by different soil groups have received little attention. In this study, we use a typical landslide soil composition of rainfall-induced landslide in fault zones as a prototype and via flume experiments to simulate the hydrological evolution, failure processes, and patterns under rainfall conditions on material heterogeneity slopes with a combination of colluvial deposit and fault gouge. Our results showed that rainfall-induced slope settlement and rapid saturation of shallow layers of colluvial deposits led to the occurrence of layer-by-layer shallow flow-slides. The spatial variability of infiltration led to the generation of a relatively dry‒wet interface in deeper layers, causing differential changes in the mechanical properties of the fault gouge; this was conducive to the formation of a steep landslide back wall, perched water table in the shallow layer of the fault gouge, and a rapid increase in porewater pressure, which triggered deep sliding, with a change in the failure pattern to a retrogressive mode. There was a strong linear correlation between the displacement rate before slope instability and the Arias intensity (<i>I</i>_A) of the seismic signal; an abrupt change and rapid increase in <i>I</i>_A may indicate that the slope entered an accelerating creep stage before failure. The results of this study provide a physical basis for related numerical simulation research and a reference for landslide early warning based on seismic signals.</p>","PeriodicalId":17938,"journal":{"name":"Landslides","volume":"188 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142197007","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":"Comparative analysis of conventional and machine learning techniques for rainfall threshold evaluation under complex geological conditions","authors":"Dal Seno Nicola, Evangelista D., Piccolomini E., Berti M.","doi":"10.1007/s10346-024-02336-3","DOIUrl":"https://doi.org/10.1007/s10346-024-02336-3","url":null,"abstract":"<p>This research focuses on the essential task of defining rainfall thresholds in regions with complex geological features, specifically at a regional scale. It examines a variety of methodologies, from traditional empirical-statistical methods to cutting-edge machine learning (ML) techniques, for establishing these thresholds. The Emilia-Romagna region in Italy, known for its intricate geological structure and prevalence of weak rocks that often lead to large and deep-seated landslides, serves as the study area. The region’s complex interplay between rainfall and landslide incidences poses a significant challenge in accurately determining rainfall thresholds. The effectiveness of ML methods is compared against conventional empirical-statistical approaches, evaluating factors such as prediction accuracy, model complexity, and the interpretability of results for use by regional landslide warning system operators. The findings indicate that machine learning techniques have an edge over traditional methods, yielding higher performance scores and fewer false positives. Nevertheless, these advancements are modest when considering the increased complexity of ML methods and the incorporation of additional rainfall parameters. This underlines the continued need for improvements in data quality and volume. The study stresses the importance of enhancing data collection and analysis techniques, especially in an era where advanced AI tools are increasingly available, to improve the accuracy of predicting rainfall thresholds for effective landslide warning systems.</p>","PeriodicalId":17938,"journal":{"name":"Landslides","volume":"19 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142225068","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":"Quantitative identification of landslide hazard in mountainous open-pit mining areas combined with ascending and descending orbit InSAR technology","authors":"Meiyi Dai, Hengkai Li, Beiping Long, Xiuli Wang","doi":"10.1007/s10346-024-02325-6","DOIUrl":"https://doi.org/10.1007/s10346-024-02325-6","url":null,"abstract":"<p>Numerous open-pit mines are scattered within the southern mountainous areas of China. Due to the complex mountainous terrain and abundant rainfall, surface disturbances caused by open-pit mining activities pose a serious risk of landslides. To identify potential landslide hazards in mountainous open-pit mining areas in advance, this study proposes a quantitative method that utilizes ascending and descending orbit Interferometric Synthetic Aperture Radar (InSAR) technology to accurately identify landslide hazards. We select the Xiaolongtan coal mining area in Yunnan, China, as a case study. Small Baseline Subset InSAR (SBAS-InSAR) technology was employed to obtain the Line of Sight (LOS) deformation of ascending and descending orbits from November 2019 to November 2021. Following this, two-dimensional deformations were calculated based on the obtained LOS deformations. Multiple remote sensing data sources, including Advanced Spaceborne Thermal Emission and Reflection Radiometer Global Digital Elevation Model (ASTER GDEM) and Landsat 8 Operational Land Imager (OLI), were utilized to extract potential landslide points based on vertical deformation. A combined subjective and objective weighting method was then used to assess the landslide hazard in the study area, and an information quantity model was constructed for landslide hazards in the mining area. Finally, based on high-resolution remote sensing images from the study period, potential landslide hazards were identified in the study area. The results reveal that the vertical deformation rate in the mining area ranges from − 231.73 to 81.42 mm/year, indicating significant subsidence and uplift tendencies. A total of 2353 potential landslide points were identified, primarily located near the slopes of two open-pit mines and in areas with low vegetation coverage. The Xiaolongtan and Buzhaoba open-pit mines, along with the surrounding regions in the study area, were identified to exhibit relatively high landslide hazards. Among the three coal mine waste dumps, the Beipingba waste dump presents a higher landslide hazard. This study provides a scientific basis and practical reference for identifying landslide hazards in mountainous open-pit mining areas.</p>","PeriodicalId":17938,"journal":{"name":"Landslides","volume":"203 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142197011","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":"Failure mechanism of a massive fault–controlled rainfall–triggered landslide in northern Pakistan","authors":"Muhammad Tayyib Riaz, Muhammad Basharat, Khawaja Shoaib Ahmed, Yasir Sirfraz, Amir Shahzad, Nisar Ali Shah","doi":"10.1007/s10346-024-02342-5","DOIUrl":"https://doi.org/10.1007/s10346-024-02342-5","url":null,"abstract":"<p>A massive landslide occurred in Domeshi area, District Muzaffarabad, Pakistan, in two distinct phases: an initial movement on August 1, followed by complete failure on August 4, 2023. The landslide movement persisted for 96 h, with a runout distance of 500 m. The event destroyed numerous residential structures, impacting multiple families, and causing extensive damage to cultivated land and road infrastructure. To comprehensively understand the failure mechanisms, a detailed study was undertaken, encompassing site investigations, unmanned aerial vehicle (UAV) photography, geotechnical and geophysical investigations, petrographic analysis, kinematics, and numerical simulations. The field evidence indicates that the active deformation along the Jhelum Fault (JF) within the landslide’s main body weakened the surrounding rock formations. Intense rainfall saturated pre-existing fractures, creating critical zones of weakness. Highly plastic clays along fault plane contributed significantly to volume changes, especially during and after rainfall events. Kinematic analysis identified bedding joints as prevalent failure planes for planar sliding. Geophysical survey revealed a layer of unconsolidated material extending 25–30 m below the landslide’s scarp, accompanied by various fractures, including a deep fracture (i.e., JF) up to 300 m depth. Petrographic investigations showed microfractures, micro faults, and intragranular mineral breakage, indicative of intense tectonic stresses. Slope stability analysis indicated factors of safety (FoS) and strength reduction factor (SRF) less than 1, suggesting the potential for further failure in the lower sections of the landslide. Multiple factors, including slope geometry, active tectonics, material composition, and anthropogenic factors (i.e., slope loading and cutting for road and building construction, improper drainage distribution), contributed to the landslide's occurrence, however, the rainfall emerged as the primary triggering event.</p>","PeriodicalId":17938,"journal":{"name":"Landslides","volume":"43 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142197010","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":"Prediction of the failure of a slope comprising weathered granite soil under multistep excavation based on multidimensional displacement measurements","authors":"Katsuo Sasahara, Masahiro Katayama, Shigetaka Ishihama, Yoshihiro Hamada","doi":"10.1007/s10346-024-02334-5","DOIUrl":"https://doi.org/10.1007/s10346-024-02334-5","url":null,"abstract":"<p>Measurements of slope displacements can be effective tools for the early warning of the collapse of slopes under excavation in construction projects in mountainous areas, while evaluating of instability based on measured displacement has not yet been accomplished for slopes under excavation. Measurements of displacements on sandy soil slopes under multistep excavation were made, and the measured data were analyzed to determine the characteristics of creep deformation of the slope during and after the excavation and to establish a procedure for evaluating instability of the slope under excavation in this paper. The following facts were derived from the examination of the measured data. Displacement was generated significantly in the latter stage of excavation, and it was generated not only during excavation but also after excavation. The ratio of the displacement after excavation to that from the start of the excavation to the start of the next excavation became larger as the displacement developed immediately before failure. It indicates that creep displacement after the excavation was more significant at latter excavation just prior to failure. The normal displacement converged to constant as the shear displacement increased under a steady state immediately before the failure in direct shear conditions, and the normal displacement can be an indicator of the instability of the slope. The normal displacement cannot remain constant when the inclination of the slope surface is different from that of the slip surface in the excavated slope in this paper. Different indicators are necessary in this case. The angle <i>α</i> between the slope surface and synthetic displacement (RD) on the slope derived from measured data was introduced instead of normal displacement. The synthetic displacement (RD) on the slope indicated the scalar of the synthesis of the displacements normal and downward to the surface of the slope and surface displacement. It converged to constant after excavation immediately before failure, and shear displacement showed an accelerative increase for constant <i>α</i>. This indicated that the angle <i>α</i> could be an indicator of the instability of the slope. This result showed that the angle <i>α</i> being constant indicated that the stress condition was almost in failure and the displacement increased acceleratively. Further examinations based on the measured data on other slope under excavation should be necessary for confirming the results in this paper based on only a case of experiment.</p>","PeriodicalId":17938,"journal":{"name":"Landslides","volume":"50 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142197012","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":"Long-term movement activity and internal structure of deep-seated landslide by using dendrochronology analysis and electric resistivity tomography in flysch rocks, Carpathians, Czech Republic","authors":"Jan Klimeš, Filip Hartvich, Karel Šilhán","doi":"10.1007/s10346-024-02330-9","DOIUrl":"https://doi.org/10.1007/s10346-024-02330-9","url":null,"abstract":"<p>Complex or compound landslides, which combine different movement types with sliding planes at various depths and with varying movement acceleration frequencies, are highly demanding for landform mapping, movement monitoring and reliable hazard assessment. In this work, several techniques including dendrogeomorphological investigation were combined to describe surface morphology, underground structures and movement dynamics of the compound and deep-seated landslide aiming to provide reliable information for its hazard assessment. Interpretation of high-quality digital elevation model and detailed field morphological mapping along with geological information provided context for the interpretation of electric resistivity tomography profiles and enabled the description of properties of two distinct landforms, which are typically identified on a compound or complex deep-seated landslides in the studied region—shallow slides and landslide blocks. Dendrogeomorphological investigation proved for the first time the movement accelerations of the landslide blocks, which reactivate approximately half as often as shallow slides. It also showed different trees’ responses to the movements of these two landforms. Trees on the shallow landslide responded mainly with abrupt growth suppression (54.4%) to movements of its highly disturbed material. In contrast, trees on landslide blocks exhibited a dominant response (84.7%) with reaction wood to tilting of the landslide blocks composed of more coherent rock material. The research demonstrated that the dendrogeomorphological investigations provide reliable identification of years with accelerated movements, which corresponds well to instrumental, near-surface monitoring of the landslide. And at the same time, the method provided densely spatially distributed information about partial landslide reactivations during several decades in conditions (e.g. dense forests), where remote sensing methods are difficult to apply. Therefore, we argue that the dendrogeomorphological research is well applicable for hazard assessment of partial failures (cf., shallow slides and landslide blocks) of compound or complex landslides providing information also about the type of landslide movements (sliding vs. surface tilting) and character of the deformed material (highly disturbed vs. more coherent).</p>","PeriodicalId":17938,"journal":{"name":"Landslides","volume":"27 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142197013","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":"Image analysis and LSTM methods for forecasting surficial displacements of a landslide triggered by snowfall and rainfall","authors":"Yuting Liu, Lorenzo Brezzi, Zhipeng Liang, Fabio Gabrieli, Zihan Zhou, Simonetta Cola","doi":"10.1007/s10346-024-02328-3","DOIUrl":"https://doi.org/10.1007/s10346-024-02328-3","url":null,"abstract":"<p>Landslide-prone areas, predominantly located in mountainous regions with abundant rainfall, present unique challenges when subject to significant snowfall at high altitudes. Understanding the role of snow accumulation and melting, alongside rainfall and other environmental variables like temperature and humidity, is crucial for assessing landslide stability. To pursue this aim, the present study focuses first on the quantification of snow accumulated on a slope through a simple parameter obtained with image processing. Then, this parameter is included in a slope displacement prediction analysis carried out with long short-term memory (LSTM) neural network. By employing image processing algorithms and filtering out noise from white-shown rocks, the methodology evaluates the percentage of snow cover in RGB images. Subsequent LSTM forecasts of landslide displacement utilize 28-day historical data on rainfall, snow, and slope movements. The presented procedure is applied to the case of a deep-seated landslide in Italy, a site that in winter 2020–2021 experienced heavy snowfall, leading to significant snow accumulation on the slope. These episodes motivated a study aimed at forecasting the superficial displacements of this landslide, considering the presence of snow both at that time and in the following days, along with humidity and temperature. This approach indirectly incorporates snow accumulation and potential melting phenomena into the model. Although the subsequent winters were characterized by reduced snowfall, including this information in the LSTM model for the period characterized by snow on the slope demonstrated a dependency of the predictions on this parameter, thus suggesting that snow is indeed a significant factor in accelerating landslide movements. In this context, detecting snow and incorporating it into the predictive model emerges as a significant aspect for considering the effects of winter snowfall. The method aims to propose an innovative strategy that can be applied in the future to the study of the landslide analyzed in this paper during upcoming winters characterized by significant snowfall, as well as to other case studies of landslides at high altitudes that lack precise snow precipitation recording instruments.</p>","PeriodicalId":17938,"journal":{"name":"Landslides","volume":"26 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142197027","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}