Engineering Geology最新文献

Stability assessment of typhoon rainfall-induced landslides using SBAS-InSAR and an improved Q-slope method 基于SBAS-InSAR和改进Q-slope法的台风降雨诱发滑坡稳定性评价

IF 7.4 1区工程技术

Engineering Geology Pub Date : 2026-11-01 DOI: 10.1016/j.enggeo.2026.109134

Rui Yong,Zhenglin Hu,Lihua Wang,Nick Barton,Jibo Qin,Pengju An,Changshuo Wang

引用次数: 0

Stereological invariance in 3D fracture characterization: distinguishing natural fracturing from superimposed anthropogenic disturbances 三维裂缝表征中的立体不变性：区分天然裂缝与叠加的人为干扰

IF 10.3 1区工程技术

Engineering Geology Pub Date : 2026-10-15 DOI: 10.1016/j.enggeo.2026.109154

Deheng Kong, Liangchao Zou, Vladimir Cvetkovic, Charalampos Saroglou, Peng Sha, Zhenming Shi, Faquan Wu, Bo Li

{"title":"Stereological invariance in 3D fracture characterization: distinguishing natural fracturing from superimposed anthropogenic disturbances","authors":"Deheng Kong, Liangchao Zou, Vladimir Cvetkovic, Charalampos Saroglou, Peng Sha, Zhenming Shi, Faquan Wu, Bo Li","doi":"10.1016/j.enggeo.2026.109154","DOIUrl":"10.1016/j.enggeo.2026.109154","url":null,"abstract":"<div><div>Accurately quantifying the 3D architecture of fractured rock masses remains a fundamental stereological challenge, particularly where intrinsic geological heterogeneity is overprinted by anthropogenic disturbances (e.g., blasting and excavation). This study applied a robust cross-dimensional framework that executes stereological inversions for both disturbed surface and undisturbed interior domains via independent data sources (UAV photogrammetry and borehole logs). Theoretically, we derived an analytical estimator for volumetric fracture intensity (<span><math><msub><mi>P</mi><mn>32</mn></msub></math></span>) under a universal elliptical framework, and validated its capacity to mathematically encapsulate geometric complexity. The derivation reveals a conditional stereological invariance: under statistical independence between fracture area and orientation, the 2D-to-3D intensity conversion is governed by directional sampling probability; otherwise, the joint distribution of fracture geometries is retained. Field application showed changes exceeding 20% in linear and count-based metrics (e.g., size, spacing, and <span><math><msub><mi>P</mi><mn>30</mn></msub></math></span>) contrasting sharply with the relative invariance of macroscopic intensity (<span><math><msub><mi>P</mi><mn>32</mn></msub></math></span> increases by approximately 5%). Field-constrained DFNs further demonstrated that the surface network retained a domain-scale connected backbone and exhibited a lower mean fracture-intersection degree, a higher isolated-fracture fraction, and intensified intact rock partitioning. Consequently, a relatively invariant scalar <span><math><msub><mi>P</mi><mn>32</mn></msub></math></span> does not imply invariant fracture geometry, network topology, or block partitioning. Collectively, the structural, topological, and mechanical evidence supports disturbance-related fracture truncation and network reorganization within a mechanically compliant near-surface zone. This study provides an empirically constrained basis for spatially non-stationary gradient fracture modeling, thereby advancing geohazard assessment in heavily disturbed rock engineering environments.</div></div>","PeriodicalId":11567,"journal":{"name":"Engineering Geology","volume":"374 ","pages":"Article 109154"},"PeriodicalIF":10.3,"publicationDate":"2026-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149202400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Borehole data and multiple geophysical methods for the characterization of a thick Quaternary succession in a synclinal setting of the active Ferrara Tectonic Arc (Italy) 意大利费拉拉构造弧向斜背景下厚第四纪演替的钻孔资料和多种地球物理方法

IF 7.4 1区工程技术

Engineering Geology Pub Date : 2026-10-01 DOI: 10.1016/j.enggeo.2026.109133

G. Di Giulio,M. Stefani,G. Milana,M. Vassallo,S. Amoroso,G. Tarabusi,L. Baradello,A. Affatato,A. Barbagallo,S. Maffione,L. Petronio,L. Minarelli

引用次数: 0

Predicting basic geotechnical properties of loess using cone penetration and electrical resistivity tests 用锥贯法和电阻率法预测黄土的基本岩土特性

IF 7.4 1区工程技术

Engineering Geology Pub Date : 2026-10-01 DOI: 10.1016/j.enggeo.2026.109139

Fanyu Zhang,Ruihua Hao,Wenlong Ji

引用次数: 0

Seismic response characteristics and damage evolution mechanisms of bedrock and moraine soil overburden layer slopes under earthquake-rainfall coupling based on the proposed WOA-MVMD 基于WOA-MVMD的地震-降雨耦合作用下基岩-冰碛土覆盖层边坡地震响应特征及损伤演化机制

IF 7.4 1区工程技术

Engineering Geology Pub Date : 2026-10-01 DOI: 10.1016/j.enggeo.2026.109115

Wanpeng Shi,Danqing Song,Shengwen Mai,Xiaoli Liu,Yufang Zhang

引用次数: 0

Phreatic line revision and prediction for dry-stack tailings storage facilities based on BP neural network 基于BP神经网络的干堆尾矿库潜水线修正与预测

IF 7.4 1区工程技术

Engineering Geology Pub Date : 2026-10-01 DOI: 10.1016/j.enggeo.2026.109149

Bize Wu,Qiang Li,Mengfan Zhang,Zewen Wang,Jiahang Liu

引用次数: 0

Geophysical and microstructural signatures of crack genesis to failure in underground mining geosystems 地下矿山地质系统裂缝成因与破坏的地球物理及微观构造特征

IF 7.4 1区工程技术

Engineering Geology Pub Date : 2026-10-01 DOI: 10.1016/j.enggeo.2026.109136

Majid Khan,Xueqiu He,Dazhao Song,Ahmed E. Radwan

引用次数: 0

Effect of barrier location in the deposition zone on debris flow load reduction: a quantitative experimental study 沉积带屏障位置对泥石流减载影响的定量实验研究

IF 7.4 1区工程技术

Engineering Geology Pub Date : 2026-08-29 DOI: 10.1016/j.enggeo.2026.109042

Yuta Miyahara, Toshiyuki Horiguchi

{"title":"Effect of barrier location in the deposition zone on debris flow load reduction: a quantitative experimental study","authors":"Yuta Miyahara, Toshiyuki Horiguchi","doi":"10.1016/j.enggeo.2026.109042","DOIUrl":"https://doi.org/10.1016/j.enggeo.2026.109042","url":null,"abstract":"When debris flow enters the deposition zone, its momentum decreases and the flow gradually transitions from transport to deposition. Although it is generally known that longer travel distance within the deposition zone can reduce the impact load acting on structures, the magnitude and mechanism of this reduction has never been quantified. In this study, we experimentally investigated the influence of the length of a horizontal riverbed upstream of a barrier on debris flow impact load using laboratory flume tests for two discharge conditions. Measurements within the deposition section showed that the flow velocity progressively decreased with increasing travel distance, and the measured peak impact load decreased accordingly. However, the reduction in the peak load could not be explained solely by theoretical decrease in the hydrodynamic forces associated with the flow velocity reduction. Under the low-discharge condition, the reduction in the peak load was mainly governed by a decrease in the deposited gravel load resulting from a lower deposition height. Under the high-discharge condition, the reduction in the peak load was caused by the combined effects of a lower effective deposition height and diminished hydrodynamic force at the time of maximum impact. Despite the differences in the peak load generation mechanism, the trend of the peak load reduction was consistently governed by the loss of effective momentum upon reaching the barrier. These findings provide quantitative insights into the influence of deposition zone on debris flow impact loads and demonstrate the importance of barrier location in the rational design of protective structures.","PeriodicalId":11567,"journal":{"name":"Engineering Geology","volume":"93 1","pages":""},"PeriodicalIF":7.4,"publicationDate":"2026-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148884620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Noise-resistant automatic seismic framework for monitoring rockslide slope 用于岩滑边坡监测的抗噪自动地震框架

IF 8.4 1区工程技术

Engineering Geology Pub Date : 2026-03-26 Epub Date: 2026-02-01 DOI: 10.1016/j.enggeo.2026.108574

Chung-Ray Chu , Chiao-Yin Lu , Guan-Wei Lin , En-Jui Lee , Che-Hsin Liu , Chih-Hsin Chang , Hsiao-Yu Huang

{"title":"Noise-resistant automatic seismic framework for monitoring rockslide slope","authors":"Chung-Ray Chu , Chiao-Yin Lu , Guan-Wei Lin , En-Jui Lee , Che-Hsin Liu , Chih-Hsin Chang , Hsiao-Yu Huang","doi":"10.1016/j.enggeo.2026.108574","DOIUrl":"10.1016/j.enggeo.2026.108574","url":null,"abstract":"<div><div>National seismic networks provide high-quality data for monitoring large-scale landslides within tens of kilometers, but are difficult to detect small-scale slope failures due to signal attenuation. Denser local networks can enhance monitoring capabilities focusing on prone slopes that potentially cause fatalities and economic losses, but being close to human settlements introduces significant noise interference. This study developed a noise-resistant automatic algorithm including three stages: detection, noise elimination, and classification, for a local seismic network deployed near villages to monitor an active rockslide slope. The main concept is to effectively filter diverse and abundant surrounding noise and purify the dataset before feeding it into the machine learning classifier. During a one-year examination period, 98.6% of non-target sections, including numerous calm ambiences and random noise, were filtered out by STA/LTA, signal-to-noise ratio, and cross-correlation in the detection and noise elimination stages. As a result, the remaining dataset primarily consisted of earthquake and rockslide signals in approximately a 5:1 ratio, with only a few vehicle passages and random noise. This denoised dataset was subsequently used to train a Random Forest classifier with two attribute clusters, achieving good recall rates of 78% for rockslides and 99% for earthquakes. However, approximately 20% of manually labeled rockslides were misclassified as earthquakes due to their overlapping attribute ranges that cause certain distinctive attributes to resemble earthquake characteristics. This study establishes an applicable framework for monitoring slope hazards near vulnerable villages, demonstrating that effective noise filtering can significantly improve the reliability of classification in seismic monitoring implemented in high-noise environments.</div></div>","PeriodicalId":11567,"journal":{"name":"Engineering Geology","volume":"364 ","pages":"Article 108574"},"PeriodicalIF":8.4,"publicationDate":"2026-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146110470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

STGCN-based inversion of landslide creep parameters using GNSS displacement time series 基于stgcn的GNSS位移时间序列滑坡蠕变参数反演

IF 8.4 1区工程技术

Engineering Geology Pub Date : 2026-03-26 Epub Date: 2026-01-30 DOI: 10.1016/j.enggeo.2026.108602

Duo Wang , Qin Zhang , Guanwen Huang , Yuan Du

{"title":"STGCN-based inversion of landslide creep parameters using GNSS displacement time series","authors":"Duo Wang , Qin Zhang , Guanwen Huang , Yuan Du","doi":"10.1016/j.enggeo.2026.108602","DOIUrl":"10.1016/j.enggeo.2026.108602","url":null,"abstract":"<div><div>The highly nonlinear and spatiotemporal nature of landslide deformation poses significant challenges to the accurate estimation of landslide creep parameters. This study proposes a novel GNSS-based method to invert landslide creep parameters, integrating both spatial and temporal characteristics. First, the Burgers creep constitutive model is employed to describe the time-dependent deformation behavior of the landslide. Next, an orthogonal experimental design is used to conduct numerical creep simulations and generate synthetic displacement time series for model training. Based on these data, a Spatiotemporal Graph Convolutional Network (STGCN) is constructed to capture both spatial correlations and temporal dynamics. Finally, the inverted parameters are validated through forward numerical simulations. The case study results indicate that the Burgers creep constitutive model effectively reproduces nonlinear creep behavior and captures the spatial evolution of deformation. The simulated results show close agreement with the monitored displacements, yielding an average Mean Absolute Error (MAE) of 0.010 m. Compared with the traditional back-propagation neural network (BPNN), the STGCN reduces the MAE by 54.5%, thereby confirming the reliability of the proposed method. The results demonstrate that this approach provides a powerful tool for simulating the spatiotemporal evolution of landslides.</div></div>","PeriodicalId":11567,"journal":{"name":"Engineering Geology","volume":"364 ","pages":"Article 108602"},"PeriodicalIF":8.4,"publicationDate":"2026-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146095633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0