LandslidesPub Date : 2024-07-04DOI: 10.1007/s10346-024-02304-x
Tobias Halter, Peter Lehmann, Adrian Wicki, Jordan Aaron, Manfred Stähli
{"title":"Optimising landslide initiation modelling with high-resolution saturation prediction based on soil moisture monitoring data","authors":"Tobias Halter, Peter Lehmann, Adrian Wicki, Jordan Aaron, Manfred Stähli","doi":"10.1007/s10346-024-02304-x","DOIUrl":"https://doi.org/10.1007/s10346-024-02304-x","url":null,"abstract":"<p>It has been widely recognised that the degree of soil wetness before precipitation events can be decisive for whether or not shallow rainfall-induced landslides occur. While there are methods to measure and/or model soil wetness in complex topography, they often exhibit limitations in spatial or temporal resolution, hindering their application in regional landside initiation modelling. In this study, we address the need for high-resolution predictions of initial saturation before rainfall events by employing data-driven linear regression models. The models were trained using in-situ soil moisture data collected from six measurement stations located in a landslide-prone region in Switzerland. Various topographic attributes, along with multiple antecedent rainfall and evapotranspiration variables were tested as input for the models. The final model consisted of five measurable variables, including cumulative antecedent rainfall, cumulative evapotranspiration, and the topographic wetness index (TWI). The model effectively reproduced the observed spatial and temporal variability of the in-situ measurements with a coefficient of determination <i>R</i><sup>2</sup> = 0.62 and a root mean square error RMSE = 0.07. Subsequently, we applied the regression model to predict the spatial soil saturation at the onset of actual landslide triggering rainfall events and integrated these patterns into the hydromechanical model STEP-TRAMM. The results demonstrate improvements in predicting observed landslide occurrences compared to simulations assuming spatially uniform initial saturation conditions, highlighting the importance of in-situ measurements and a realistic extrapolation of such data in space and time for accurate modelling of shallow landslide initiation.</p>","PeriodicalId":17938,"journal":{"name":"Landslides","volume":"11 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141549550","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}
LandslidesPub Date : 2024-07-04DOI: 10.1007/s10346-024-02300-1
Amanda DiBiagio, Vittoria Capobianco, Amy Oen, Lena M. Tallaksen
{"title":"State-of-the-art: parametrization of hydrological and mechanical reinforcement effects of vegetation in slope stability models for shallow landslides","authors":"Amanda DiBiagio, Vittoria Capobianco, Amy Oen, Lena M. Tallaksen","doi":"10.1007/s10346-024-02300-1","DOIUrl":"https://doi.org/10.1007/s10346-024-02300-1","url":null,"abstract":"<p>The use of vegetation as a Nature-based Solution (NbS) for shallow landslide risk reduction is receiving increased attention in the scientific community. Vegetation can contribute to slope stability through both hydrological and mechanical processes. Slope stability models are valuable tools to quantify the performance of vegetation management as a slope stabilizing measure. The aim of this study is to provide a comprehensive overview of how both the mechanical and hydrological effects of vegetation are parametrized in existing slope stability models. To this end, a systematic review of the peer-reviewed literature published between January 2000 and June 2023 is conducted. The review has shown that existing slope stability models that include effects of vegetation, do so with various degrees of complexity with regard to how accurately they attempt to mimic the physical processes present in nature. There is a need for further validation of existing models, especially extended to areas in the global south and in colder regions. Moreover, studies of time dependency in vegetation reinforcement capabilities are lacking, an aspect which is especially important in the light of climate change. This review provides valuable guidance for researchers and practitioners in their choice of appropriate slope stability models for their studies.</p>","PeriodicalId":17938,"journal":{"name":"Landslides","volume":"85 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141549549","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}
LandslidesPub Date : 2024-07-03DOI: 10.1007/s10346-024-02303-y
Yu Zhuang, Aiguo Xing, Muhammad Bilal, Perry Bartelt
{"title":"The effect of ambient air temperature on meltwater production and flow dynamics in snow avalanches","authors":"Yu Zhuang, Aiguo Xing, Muhammad Bilal, Perry Bartelt","doi":"10.1007/s10346-024-02303-y","DOIUrl":"https://doi.org/10.1007/s10346-024-02303-y","url":null,"abstract":"<p>Snow avalanche run-out is controlled by flow regime, which is heavily dependent on snow temperature and water content. Existing avalanche models calculate temperature change and snow melting arising from frictional work, snowcover entrainment and particle collisions, but ignore the influence of the ambient air temperature. Here, we propose an experimentally-based relationship to describe the sensible heat flux between the flowing avalanche and the ambient air. A snow avalanche case study and a sensitivity analysis are performed using the proposed model. Modeling results suggest a marginal contribution of heat to the avalanche core, but one, that nonetheless can have significant effect on avalanche runout. For wet (warm) avalanches, higher air temperature will amplify water lubrication effects, leading to longer avalanche run-out. Warmer air temperatures also influence the behaviour of dry, cold avalanches, as the presence of meltwater increases snow cohesion, restricting the formation of strong powder clouds and reducing the avalanche run-out. Colder air temperatures facilitate the formation of more fluidized powder snow avalanches with long run-out and strong air-blasts. The proposed model quantifies the temperature change in the avalanche and can be included in avalanche hazard assessments in which temperature and flow regime are important elements, including the understanding of air temperature and avalanche flow in a changing climate.</p>","PeriodicalId":17938,"journal":{"name":"Landslides","volume":"151 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141518681","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}
LandslidesPub Date : 2024-06-28DOI: 10.1007/s10346-024-02292-y
Guadalupe Bru, Pablo Ezquerro, Jose M. Azañón, Rosa M. Mateos, Meaza Tsige, Marta Béjar-Pizarro, Carolina Guardiola-Albert
{"title":"Deceleration captured by InSAR after local stabilization works in a slow-moving landslide: the case of Arcos de la Frontera (SW Spain)","authors":"Guadalupe Bru, Pablo Ezquerro, Jose M. Azañón, Rosa M. Mateos, Meaza Tsige, Marta Béjar-Pizarro, Carolina Guardiola-Albert","doi":"10.1007/s10346-024-02292-y","DOIUrl":"https://doi.org/10.1007/s10346-024-02292-y","url":null,"abstract":"<p>Interferometric synthetic aperture radar (InSAR) is a remote sensing tool used for monitoring urban areas affected by geological hazards. Here we analysed the effectiveness of stabilization works on a slow-moving landslide in Arcos de La Frontera (Cádiz, Spain) using a persistent scatterer interferometric approach. The works consisted on jet grouting of cement-based injections and were applied locally to stabilize the most damaged neighbourhood. We processed a large stack of Sentinel-1 SAR satellite acquisitions covering the period January, 2016, to March, 2023, and obtained surface velocity and displacement trends measured along the line of sight (LOS) of the satellite on both ascending and descending orbits. The results show a clear deceleration of the landslide head after mid-2018, suggesting the local stabilization works were effective after that time. Prior to mid-2018, the maximum LOS velocity of the landslide head was 2.2 cm/year in ascending orbit and 1.3 cm/year in the descending orbit, decreasing to 0.43 cm/year and 0.23 cm/year, respectively. The InSAR results were compared to in-situ monitoring data and revealed that the extent of the stabilization has influenced a much larger area beyond the zone of the local interventions. Overall, InSAR has proved a powerful and versatile tool to be implemented in operational geotechnical monitoring.</p>","PeriodicalId":17938,"journal":{"name":"Landslides","volume":"21 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141503222","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}
LandslidesPub Date : 2024-06-20DOI: 10.1007/s10346-024-02297-7
Xiao-Peng Leng, Fan-Xiao Zhu, Liang-Yu Feng, Xin-Yu Zhang, Liang Yao
{"title":"Deep learning model fusion-based infrasound recognition of debris flows","authors":"Xiao-Peng Leng, Fan-Xiao Zhu, Liang-Yu Feng, Xin-Yu Zhang, Liang Yao","doi":"10.1007/s10346-024-02297-7","DOIUrl":"https://doi.org/10.1007/s10346-024-02297-7","url":null,"abstract":"<p>Infrasound generated during the formation and movement of debris flows exhibits long propagation distance and slow energy attenuation, rendering it ideal for remote monitoring of debris flows. However, accurately identifying the infrasound signals of debris flows is challenging because of the complexity of background noise interference and variations in signal characteristics linked to the event’s specific characteristics. In this study, the infrasound signal is preprocessed using high and low-pass filters, wavelet soft threshold denoising to mitigate noise interference, and then time-frequency transformed into a two-dimensional image, which is then input into a deep learning model fused with ResNet18 and Vision Transformer for training. The fusion model offers a potent feature extraction capability and the ability to generalize models, which leads to a better understanding of the details of the infrasound signals from debris flows. The experimental results show that the recognition accuracy of the proposed method is up to 88.60%, which is able to effectively predict and warn about the upcoming debris flow events.</p>","PeriodicalId":17938,"journal":{"name":"Landslides","volume":"38 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141503098","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}
LandslidesPub Date : 2024-06-19DOI: 10.1007/s10346-024-02291-z
Andrea Manconi, Nina Jones, Simon Loew, Tazio Strozzi, Rafael Caduff, Urs Wegmueller
{"title":"Monitoring surface deformation with spaceborne radar interferometry in landslide complexes: insights from the Brienz/Brinzauls slope instability, Swiss Alps","authors":"Andrea Manconi, Nina Jones, Simon Loew, Tazio Strozzi, Rafael Caduff, Urs Wegmueller","doi":"10.1007/s10346-024-02291-z","DOIUrl":"https://doi.org/10.1007/s10346-024-02291-z","url":null,"abstract":"<p>We performed an extensive analysis of C-band SAR datasets provided by the European Space Agency (ESA) satellites ERS-1/2, Envisat ASAR, and Sentinel-1 in the period 1992–2020 aiming at reconstructing the multi-decadal spatial and temporal evolution of the surface displacements at the Brienz/Brinzauls landslide complex, located in canton Graubünden (Switzerland). To this end, we analyzed about 1000 SAR images by applying differential interferometry (InSAR), multitemporal stacking, and persistent scatterer interferometry (PSI) approaches. Moreover, we jointly considered digital image correlation (DIC) on high-resolution multi-temporal digital terrain models (DTM) generated from airborne surveys and InSAR results to compute 3-D surface deformation fields. The extensive network of GNSS stations across the Brienz landslide complex allowed us to extensively validate the deformation results obtained in our remote sensing analyses. Here, we illustrate the limitations occurring when relying on InSAR and/or PSI measurements for the analysis and interpretation of complex landslide scenarios, especially in cases of relevant spatial and temporal heterogeneities of the deformation field. The joint use of InSAR and DIC can deliver a better picture of the evolution of the deformation field, however, not for all displacement components. Since InSAR, PSI and DIC measurements are nowadays routinely used in the framework of local investigations, as well as in regional, national, and/or continental monitoring programs, our results are of major importance for users aiming at a comprehensive understanding of these datasets in landslide scenarios.</p>","PeriodicalId":17938,"journal":{"name":"Landslides","volume":"31 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141503099","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 compression–based DS-InSAR method for landslide identification and monitoring of alpine canyon region: a case study of Ahai Reservoir area in Jinsha River Basin","authors":"Xiaona Gu, Yongfa Li, Xiaoqing Zuo, Jinwei Bu, Fang Yang, Xu Yang, Yongning Li, Jianming Zhang, Cheng Huang, Chao Shi, Mingze Xing","doi":"10.1007/s10346-024-02299-5","DOIUrl":"https://doi.org/10.1007/s10346-024-02299-5","url":null,"abstract":"<p>Interferometric Synthetic Aperture Radar (InSAR) technology is capable of detecting large areas of potentially unstable slopes. However, traditional time-series InSAR methods yield fewer valid measurement points (MPs) in alpine canyon regions. Distributed Scatterer (DS) Interferometry (DSI) technology serves as a potent tool for monitoring surface deformation in complex land cover areas; nonetheless, it grapples with high computational demands and low efficiency when interpreting deformation across extended time series. This study proposes an image compression–based DSI (ICDSI) method, which, building upon the DSI method, utilizes principal component analysis (PCA) to compress multi-temporal SAR images in the time dimension. It develops a module for compressing long-time sequence SAR images, acquires the compressed image (referred to as a virtual image), and integrates the developed image compression module into the DSI data processing flow to facilitate the inversion of long-time sequence InSAR land surface deformation information. To validate and assess the credibility of the ICDSI method, we processed a total of 78 ascending and 81 descending scenes of Sentinel-1A images spanning the period 2019–2021 using Small Baseline Subset (SBAS), DSI, and the ICDSI method proposed in this paper. Subsequently, these methods were applied to detect landscape displacements on both coasts of the Jinsha River Basin. The investigation reveals that the ICDSI method outperforms SBAS and DSI significantly in monitoring landslide displacements, enabling the detection of more measurement points (MPs) while utilizing less raw data. The accomplishments of this research program carry crucial theoretical implications and practical application value for the detection of surface deformation using long-time series InSAR.</p>","PeriodicalId":17938,"journal":{"name":"Landslides","volume":"5 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141503100","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}
LandslidesPub Date : 2024-06-17DOI: 10.1007/s10346-024-02293-x
Sohrab Sharifi, Renato Macciotta, Michael T. Hendry
{"title":"A reliability evaluation of four landslide failure forecasting methods in real-time monitoring applications","authors":"Sohrab Sharifi, Renato Macciotta, Michael T. Hendry","doi":"10.1007/s10346-024-02293-x","DOIUrl":"https://doi.org/10.1007/s10346-024-02293-x","url":null,"abstract":"<p>Early warning systems (EWSs) for landslides are becoming a pivotal tool to safeguard assets and stakeholders. With this mission, an EWS should be capable of reliably forecasting the failure time when the ground accelerates. There are analytical methods developed to this end that use time-series kinematics: inverse velocity (INV), minimum inverse velocity (MINV), slope gradient (SLO), and velocity over acceleration (VOA). Although an abundant number of studies applied these methods, they have been majorly examined in a back-analysis context where all the measurements are incorporated into the forecasting process. A successful operation of EWSs in raising meaningful alarms calls for an examination in which the forecasting method is evaluated synchronously. This study evaluates the ability of the four mentioned methods to provide reliable forecasts in real time using a comprehensive database including 75 historical failures. For the first time, the methods are evaluated using a quantitative metric called reliability fitness index (RFI) that measures the portion of forecasts meeting an accuracy threshold. For accuracy thresholds of 50, 75 and 90%, INV showed the highest RFI values of 16, 7, and 4% followed by SLO values of 12, 5, and 2%, respectively. Opposing reliability values for SLO and INV suggest EWSs should take advantage of hybrid models that consider both methods.</p>","PeriodicalId":17938,"journal":{"name":"Landslides","volume":"26 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141503101","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}
LandslidesPub Date : 2024-06-17DOI: 10.1007/s10346-024-02296-8
Shuhao Liu, Kunlong Yin, Juan Du, Lixia Chen, Xiaoxu Xie, Shilin Zhu, Xingchen Zhang
{"title":"Landslides triggered by the extreme rainfall on July 4, 2023, Wanzhou, China","authors":"Shuhao Liu, Kunlong Yin, Juan Du, Lixia Chen, Xiaoxu Xie, Shilin Zhu, Xingchen Zhang","doi":"10.1007/s10346-024-02296-8","DOIUrl":"https://doi.org/10.1007/s10346-024-02296-8","url":null,"abstract":"","PeriodicalId":17938,"journal":{"name":"Landslides","volume":"23 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141503102","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":"Catastrophic debris flow triggered by a June 26, 2023 rainstorm suggests the debris flow is still active 15 years after the Wenchuan seismic","authors":"Huayong Chen, Jiang Xiong, Wanyu Zhao, Jiangang Chen, Xianzheng Zhang, Hechun Ruan, Congxi Fang, Lingfeng Gong","doi":"10.1007/s10346-024-02279-9","DOIUrl":"https://doi.org/10.1007/s10346-024-02279-9","url":null,"abstract":"<p>The Wenchuan earthquake strongly disturbed the earth surface and induced sufficient loose debris in the mountain basin, which supplies sufficient solid materials for debris flow initiation. Recently, a catastrophic debris flow was induced by strong rainfall on June 26, 2023 in the Banzi basin. Inconsistent with the first few years of the Wenchuan earthquake, the hillslope landslide sediment supply for debris flow occurrence is limited after 15 years of the Wenchuan earthquake, and the materials supplied for debris flow in the later period are mainly obtained from alluvium deposited along the channel. Simultaneously, this debris flow was triggered by flash flood through strongly erosion channel materials. However, although 15 years have passed since the Wenchuan earthquake, the triggering rainfall conditions have still not returned to pre-earthquake level. This debris flow first initiated in the upper branches of the basin and then gradually transported downstream at an average discharge of 806.99 m<sup>3</sup>/s, and approximately 82.80 × 10<sup>4</sup> m<sup>3</sup> solid materials were transported out the Banzi basin to form a debris flow fan with length of 120 m and width of 260 m in the Minjiang River, which poses a serious threat to the resettled population and destroy the reconstruction infrastructures. Importantly, there are still sufficient solid materials deposited in the basin, this could result in debris flow activity continuing for an unpredictable time. Therefore, implementation early warning, prevention, and mitigation measures in this basin are still important for debris flow disaster management in the later period of Wenchuan earthquake.</p>","PeriodicalId":17938,"journal":{"name":"Landslides","volume":"36 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141259280","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}