Geohazard Mechanics最新文献

{"title":"Geological and hydrological study of a deep-seated toppling using time-lapse electrical resistivity tomography","authors":"Shenghua Cui ,&nbsp;Hui Wang ,&nbsp;Xiangjun Pei ,&nbsp;Shuang He ,&nbsp;Mengjie Yang ,&nbsp;Xiangning Xu ,&nbsp;Guoping Xiang ,&nbsp;Danqing Song ,&nbsp;Yixiang Song ,&nbsp;Jianxin Song ,&nbsp;Yu Wang","doi":"10.1016/j.ghm.2026.05.001","DOIUrl":"10.1016/j.ghm.2026.05.001","url":null,"abstract":"<div><div>The toppling stability is influenced by hydrogeology. However, the correlation between toppling and groundwater is complex and remains poorly be understood compared to the relationship between slides and groundwater. In this study, a geo-electrical investigation of the deep-seated Shidaguan toppling in southwestern China was conducted between April 2019 and May 2020. The material types of the toppling were determined and a morphological structural model was established based on drilling and apparent resistivity data. Time-lapse electrical resistivity tomography (ERT) was used to monitor the internal water flow processes within a large-scale deep-seated toppling. The processes of surface water infiltration and internal migration were captured, and a hydrological-mechanical coupling model was established. The model reveals that rainfall infiltrates the toppling body through priority flow paths, such as tension cracks, flexural fracture zones, and sliding surfaces, which leads to a reduction in shear strength along the basal surface. Furthermore, critical areas for monitoring and early warning of toppling were identified based on the evolution of deformation and water migration.</div></div>","PeriodicalId":100580,"journal":{"name":"Geohazard Mechanics","volume":"4 2","pages":"Pages 122-140"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148208411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Earthquake prediction based on time series decomposition and deep learning","authors":"Hao Luo ,&nbsp;Zhongyi Liu ,&nbsp;Liang Wang ,&nbsp;Hongxing Chen ,&nbsp;Caiyun Xia","doi":"10.1016/j.ghm.2026.05.002","DOIUrl":"10.1016/j.ghm.2026.05.002","url":null,"abstract":"<div><div>Earthquakes are extremely destructive natural disasters, and accurately forecasting earthquakes is of great significance in reducing losses caused by earthquakes. To improve the accuracy of earthquake forecasting, we propose a novel method that integrates an improved artificial rabbit optimization algorithm (IARO), variational mode decomposition (VMD), and deep learning, named IARO-VMD-DFGNet, for earthquake time series forecasting. Facing the challenges caused by the need for manual setting of VMD parameters, we propose the IARO to optimize the parameters of VMD, thus avoiding errors caused by manual parameter setting. Additionally, we also propose a data-driven deep learning model, DFGNet, for forecasting decomposed data. The data used in this study are earthquake catalogs, which include five variables: timestamp, longitude, latitude, depth, and magnitude. Each variable is independently decomposed and forecasted. The performance of the model is evaluated using four metrics: mean squared error, mean absolute error, relative standard error, and root mean square error. Experimental results from four different earthquake catalogs demonstrate that the proposed model outperforms several other popular time series forecasting models. It achieves average reductions of 24.6%, 18.5%, 15.2%, and 13.7% across the four evaluation metrics, demonstrating significant competitive advantages. Therefore, applying IARO-VMD-DFGNet to earthquake forecasting is of great significance in reducing the harm caused by earthquakes.</div></div>","PeriodicalId":100580,"journal":{"name":"Geohazard Mechanics","volume":"4 2","pages":"Pages 155-169"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148208470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Time-dependent degradation mechanisms and instability prediction of dangerous rock mass on reservoir banks under multiphase hydro-mechanical coupling effects","authors":"Yanchang Jia ,&nbsp;Zhihao Chen ,&nbsp;Tong Jiang ,&nbsp;Luqi Wang ,&nbsp;Wang Lu ,&nbsp;Kaiqiang Zhang ,&nbsp;Zhihua Zhang ,&nbsp;Dongdong Li","doi":"10.1016/j.ghm.2026.05.003","DOIUrl":"10.1016/j.ghm.2026.05.003","url":null,"abstract":"<div><div>Time-dependent assessment of dynamic instability, rockburst phenomena, and potential collapse of unstable rocky reservoir banks presents the critical engineering challenges under multiphase hydro-mechanical coupling effects. While existing research has primarily focused on reservoir bank instability under static water level conditions, it has largely overlooked the process of time-dependent material degradation in stability assessment frameworks. This study addresses this knowledge gap through an integrated approach combining numerical modeling and experimental investigation. A finite element model was developed based on the Jianchuandong Rock Mass (JRM), incorporating hydrostatic pressure variations and strength reduction techniques. Complemented by controlled dry-wet cycling experiments simulating reservoir water fluctuations, the research quantitatively evaluates the coupled effects of hydraulic variations and progressive rock deterioration. The results reveal significant temporal coupling between water level fluctuations and rock mass degradation, which mutually accelerates the destabilization process and ultimately leads to instability in the fifth hydrological year. The findings demonstrate that the proposed framework effectively captures the hydro-mechanical coupling mechanisms underlying reservoir bank behavior. This multi-field coupled analysis methodology achieves marked advancements beyond traditional static approaches through explicit consideration of time-dependent geotechnical mass deterioration characteristics, providing technical support for the lifecycle assessment of long-term operation water conservancy projects.</div></div>","PeriodicalId":100580,"journal":{"name":"Geohazard Mechanics","volume":"4 2","pages":"Pages 141-154"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148208410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Liquefaction vulnerability across seismic zones of India: A critical review of geohazard risk","authors":"Ibraheem Rais,&nbsp;Md Rehan Sadique,&nbsp;Mohd Masroor Alam","doi":"10.1016/j.ghm.2026.04.002","DOIUrl":"10.1016/j.ghm.2026.04.002","url":null,"abstract":"<div><div>This paper presents a comprehensive review of earthquake-induced soil liquefaction hazards across various regions of India, emphasizing their connection with major seismic geohazards. India, with a population of approximately 1.45 billion, is characterized by a diverse geological and geotectonic setup and heightened seismicity in the subcontinent, necessitating robust construction techniques for long-term preparedness and mitigation for any impending earthquakes. This study systematically compiles and evaluates liquefaction susceptibility across pan-India through different zones, including northern, southern, eastern, western, and north-eastern regions, in accordance with the four seismic zones of India. The data of standard penetration test (SPT) and cone penetration test (CPT) have been employed as the primary geotechnical methods to assess liquefaction potential, supported by geophysical tests and field observations. The factor of safety (FOS) was calculated to determine the severity of liquefaction susceptibility. In the north zone, areas like Srinagar show high liquefaction potential, especially near water bodies, while Chandigarh exhibits low susceptibility. The south zone's Chennai displays severe liquefaction risk along its eastern coastal parts, whereas south-western areas remain relatively safe. The east zone, particularly Bihar, is highly vulnerable, with districts like Darbhanga experiencing severe liquefaction due to frequent seismic activity. In the north-east zone, Guwahati, located in seismic zone V, shows high susceptibility, exacerbated by its proximity to the Brahmaputra River. The north-west zone's Kutch region in Gujarat is notably susceptible due to past seismic events and loose sandy soils, while urban areas like Mumbai show lower risk due to deeper bedrock conditions. Overall, Seismic Zone II, including regions in south and parts of the west zone, is identified as the safest, while seismic zone V, particularly in the northeast, north, and parts of the west, is most at risk. The findings underscore the urgency of assessing liquefaction as a critical seismic geohazard, necessitating robust soil testing, disaster-resilient infrastructure, and ground improvement techniques in vulnerable zones.</div></div>","PeriodicalId":100580,"journal":{"name":"Geohazard Mechanics","volume":"4 2","pages":"Pages 69-91"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148208436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigation of the instability of surrounding rock deformation in deep roadway: From the perspective of stress-driven crack evolution and plastic zone extension","authors":"Hongtao Liu ,&nbsp;Rongguang Zhang ,&nbsp;Zijun Han ,&nbsp;Zhou Han ,&nbsp;Guangdong Zhou ,&nbsp;Wencong Cheng","doi":"10.1016/j.ghm.2026.05.004","DOIUrl":"10.1016/j.ghm.2026.05.004","url":null,"abstract":"<div><div>Instability of surrounding rock in deep roadways is a key issue in the research on safe and sustainable mining in coal mines. The development of rock cracks and the expansion of plastic zones directly affect roadway stability, and are likely to lead to disasters such as large deformations, roof caving, and sidewall spalling. This paper focuses on the mechanical mechanism of crack development in the surrounding rock of deep roadways. By establishing a mechanical analysis model, conducting discrete element numerical simulations, and analyzing the engineering case studies, the study extensively investigates the progression of crack development and the propagation of the plastic zone in the surrounding rock of roadways. The study clarifies the stress evolution characteristics of the surrounding rock, revealing the mechanical mechanism by which stress drives crack development, leading to the macroscopic instability of the surrounding rock. Additionally, it identifies the relationship between crack development and the distribution of plastic zones in the surrounding rock. The study emphasizes that the damage to the surrounding rock in the disturbed area near the deep roadway aligns with the direction of the minimum principal stress (<em>σ</em>₃). Moreover, the extension direction of the plastic zone closely corresponds to the direction of propagation of tensile cracks. A risk zoning method for rock layer instability was proposed based on the characteristics of crack development and plastic zone distribution in the surrounding rock. The reliability of the research results was validated through engineering case studies. The research findings have significant theoretical and engineering implications, offering insights into the process of surrounding rock instability in deep roadways and providing a basis for formulating effective control strategies.</div></div>","PeriodicalId":100580,"journal":{"name":"Geohazard Mechanics","volume":"4 2","pages":"Pages 92-108"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148208437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification of landslide susceptibility zone using GIS and remote sensing based multi-criteria decision analysis method in Telemt District, Ethiopia","authors":"Belete Getahun,&nbsp;Engdaw Gulbet Tebege,&nbsp;Fasikaw Tsehay,&nbsp;Liknaw Mengstie","doi":"10.1016/j.ghm.2026.04.001","DOIUrl":"10.1016/j.ghm.2026.04.001","url":null,"abstract":"<div><div>Landslides are highly destructive geohazard that occurs in various parts of the world, leading to environmental damage, loss of human lives, and destruction of properties. This study employed a multicriteria decision analysis framework and a GIS-based methodology to develop a landslide susceptibility map in the Telemt District in northwest Ethiopia's highlands. Ground truth data and satellite imagery were used in the mapping procedure. Nine criteria were evaluated using the analytical hierarchy process: lithology, lineament density, rainfall, river distance, slope, aspect, NDVI, curvature, and land use/land cover. We classed and weighted each theme component appropriately. The results of the study show that the landslide susceptibility zones were classified as follows: very low (18.4%), low (25.67%), moderate (25.81%), high (20.09%), and very high (10.03%) of the overall landslide area. The research area's northern and western regions, which were distinguished by moderate slopes, flat terrain, and alkaline basaltic rocks, were mostly home to the very low and low landslide susceptibility zones, which accounted for around 44.07% or 1356.14 km². In contrast, the southern, eastern, and central regions of the research area, which were distinguished by steep slopes, high rainfall, and hilly terrain were home to the high to very high landslide susceptibility zones, which covered around 30.1% or 925.63 km². The accuracy of the areas predicted to be susceptible to landslides was validated by comparing them with known landslide locations using the ROC tool in ArcGIS. The AUC results for the AHP model were found to be 74%, suggesting a strong performance. The results of this study will provide important insights into landslide susceptibility for decision-making, rehabilitation efforts, mitigation strategies, and land use planning activities in the region.</div></div>","PeriodicalId":100580,"journal":{"name":"Geohazard Mechanics","volume":"4 2","pages":"Pages 109-121"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148208409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Geotechnical and geophysical studies for the cause of landslide in Lesalso, Laelay Maichew Wereda, northern Ethiopia","authors":"Abadi Gebrehiwot ,&nbsp;Gebremedhin Berhane ,&nbsp;Yewhalashet Fissha ,&nbsp;Yemane Kide ,&nbsp;Welegerima Teklay ,&nbsp;Belaynesh Mekonen ,&nbsp;Enming Li","doi":"10.1016/j.ghm.2025.08.005","DOIUrl":"10.1016/j.ghm.2025.08.005","url":null,"abstract":"<div><div>The northern highlands of Ethiopia often experience slope failures triggered by rainfall. Landslides are common in Lesalso, Laelay Maichew Wereda, northern Ethiopia, causing destruction to homes, crops, agricultural lands, the death of wildlife, and the eviction of local residents from their homes. The primary objective was to identify the causative and triggering factors for the landslide occurrence. Field investigations, soil laboratory test, vertical electrical sounding (VES) and profiling were conducted. The landslide affected area is characterized by aphanitic basalt with small agglomeratic basalt, phyllite, laterite sandstone, metachert and rhyolite rock units. Physical and engineering properties of 22 soil samples indicated that the failure materials mainly consist of fine grain soils (72.72 %), liquid limit (29.5 %–66.4 %) and plasticity index (7.6 %–43.65 %), medium to high degree of swelling (0.08 %–71.5 %), variable low to high water content (21 %–54.3 %), specific gravity (2.45–2.81), dry unit weight (1.467 g/cm³ to 2.254 g/cm³), activity of soils (0.379 %–1.78 %), soil compression index (0.1785 %–0.43685 %), shrinkage index (0.27 %–28.61 %), shrinkage limit (0.062 %–30.86 %), friction angle (<em>ϕ</em>) (7.68°–47.94°) and cohesion (<em>C</em>) (6.45 kPa–52.72 kPa). The primary factors influencing slope stability include the severely weathered and impermeable rocks beneath the hard and fractured surface, the presence of fine grain soils (clay and silt), a geohydrological setting that facilitates the accumulation of water pressure within the slope, and a steep slope that can generate sufficient stress to induce failure. These findings provide critical insights for the development of proactive mitigation strategies to protect local communities and infrastructure from landslide hazards.</div></div>","PeriodicalId":100580,"journal":{"name":"Geohazard Mechanics","volume":"4 1","pages":"Pages 29-43"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147426048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Erratum to “Development of geomechanics of highly compressed rocks and rock masses in Russia” [Geohazard Mechanics 3 1 (2025) 42–58]","authors":"V.V. Makarov ,&nbsp;M.A. Guzev ,&nbsp;V.N. Odintsev","doi":"10.1016/j.ghm.2025.12.001","DOIUrl":"10.1016/j.ghm.2025.12.001","url":null,"abstract":"","PeriodicalId":100580,"journal":{"name":"Geohazard Mechanics","volume":"4 1","pages":"Page 67"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147426049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Rockburst failure characteristics of sandstone under true triaxial double-sided rapid unloading conditions under high pressure","authors":"Jieyu Li ,&nbsp;Pengfei Shan ,&nbsp;Jianning Liu ,&nbsp;Yunpeng Guo ,&nbsp;Xiaomin Wang ,&nbsp;Zihan Feng ,&nbsp;Chenguang Liu ,&nbsp;Chaochao Tian ,&nbsp;Yuting Mao","doi":"10.1016/j.ghm.2026.01.004","DOIUrl":"10.1016/j.ghm.2026.01.004","url":null,"abstract":"<div><div>To explore the evolution process and failure characteristics of rockburst in rock masses with a double free surface structure, we conducted a comparative study between true triaxial double-face rapid unloading rockburst tests and single-face rapid unloading rockburst tests, using a true triaxial experimental system capable of rapid unloading from multiple faces. The main conclusions are as follows: the maximum ejection velocity of double-free surface rockburst fragments is higher than that of single-free surface rockburst (20 %–40 %), and the rockburst ejection duration is generally longer than that of single-free surface rockburst; the peak stress of double-free surface rockburst is smaller than that of single-free surface rockburst, but there will be a more obvious unloading platform stage during unloading. Compared with single-surface unloading rockburst, double-surface unloading is more likely to cause significant brittle failure and violent rockburst; the AE events of single-free surface rockburst are concentrated near one free surface, while the AE events of double-free surface experiments are distributed near two free surfaces. In the later stage of both rockburst experiments, the number of shear cracks will exceed that of tensile cracks. The extra free surface of double-free surface rockburst will enhance crack extension, especially shear cracks, resulting in more serious rock damage.</div></div>","PeriodicalId":100580,"journal":{"name":"Geohazard Mechanics","volume":"4 1","pages":"Pages 21-28"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147427938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Landslide susceptibility assessment of Western Ghats of Karnataka region in India: A case study of Ankola landslide","authors":"Malay Pramanik,&nbsp;Amarnath Hegde","doi":"10.1016/j.ghm.2026.01.003","DOIUrl":"10.1016/j.ghm.2026.01.003","url":null,"abstract":"<div><div>Recurring and frequent landslides in the Western Ghats of India pose major socio-economic challenges by interrupting the infrastructure development and daily life. The present study evaluates the landslide susceptibility of the region using a hybrid approach. Data from various sources including satellite images, past landslide records, geological, topographical and hydrological datasets was utilized to develop landslide inventory and the causative factors of the study area. The adopted hybrid approach integrates the analytic hierarchy process (AHP) and relative frequency ratio. The model demonstrated excellent discriminatory ability with an area under the ROC curve (AUC) of 0.902. The Uttara Kannada district has been identified as most susceptible to landslide in Karnataka. Further, the recent Ankola landslide in the highly susceptible Uttara Kannada was taken for a detailed case study. The field observations, geotechnical characterization, and rainfall details of the landslide site suggest that the anthropogenic activity and heavy rainfall were the reasons for triggering the landslide. The landslide event was back-analysed using pore water pressure factor (<em>R</em>_<em>u</em>) to simulate pore-water pressure development during rainfall. The <em>R</em>_<em>u</em> factor of 0.4 was identified as critical threshold for initiating slope failures, providing a quantitative basis for early warning systems for the region. The susceptibility model and the <em>R</em>_<em>u</em> factor threshold found in the study offer essential information for the enhancement of risk mitigation efforts in the Western Ghats.</div></div>","PeriodicalId":100580,"journal":{"name":"Geohazard Mechanics","volume":"4 1","pages":"Pages 55-66"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147427949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}