Engineering Geology最新文献_第2页

Seismic fragility and resilience assessment of instrumented Cogswell concrete-faced rockfill dam using scalar and vector-valued approaches 用标量法和向量值法评价仪器化Cogswell混凝土面板堆石坝的地震易损性和恢复力

IF 6.9 1区工程技术

Engineering Geology Pub Date : 2025-04-21 DOI: 10.1016/j.enggeo.2025.108090

Ali Derakhshan , Hamid Alielahi

{"title":"Seismic fragility and resilience assessment of instrumented Cogswell concrete-faced rockfill dam using scalar and vector-valued approaches","authors":"Ali Derakhshan , Hamid Alielahi","doi":"10.1016/j.enggeo.2025.108090","DOIUrl":"10.1016/j.enggeo.2025.108090","url":null,"abstract":"<div><div>Assessing the seismic vulnerability of dams is crucial due to the significant risks posed to downstream populations in the event of earthquake-induced failures. Fragility analysis is an effective tool for estimating earthquake-induced damage, thereby playing a vital role in dam design and the prevention of catastrophic incidents. In this study, Cogswell dam, a Concrete Faced Rockfill Dam, is considered as a case study, leveraging its recorded seismic responses from the Whittier Narrows (1987) and Sierra Madre (1991) earthquakes, as captured by monitoring instrumentation. A series of nonlinear 2D dynamic analyses were performed using Finite Element Method (FEM) and the results were validated against the reported data by the dam's instrumentation. Then, scalar and vector fragility assessments were performed by applying 100 diverse recorded ground motions. According to the results, scalar fragility analysis highlights that Intensity Measures (IMs) like PGA, A<sub>rms</sub>, I<sub>c</sub>, ASI, EDA, and A95 can be considered as key optimal predictors of seismic vulnerability, with PGA demonstrating the strongest correlation and A<sub>rms</sub> associated with higher probabilities of severe damage. Vector-valued fragility analysis reveals that IM combinations, particularly I<sub>c</sub>-A<sub>rms</sub>, provide more conservative estimates, capturing critical interactions between IMs. In the next step, scalar and vector resilience assessments are conducted considering various functionality loss scenarios and different recovery functions. Resilience assessment shows that earthquakes with high PGA enables faster recovery, while the ones with high A<sub>rms</sub> significantly impacts recovery functionality. Also, it is observed that scalar-valued resilience assessment provides more conservative results compared to the vector-valued approach.</div></div>","PeriodicalId":11567,"journal":{"name":"Engineering Geology","volume":"352 ","pages":"Article 108090"},"PeriodicalIF":6.9,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143863485","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

Introducing AutoML and the noisy-average probabilistic independence of causal influence (PICI) model for the prediction of ornamental stone quality 介绍了用于观赏石质量预测的AutoML和噪声-平均概率因果影响独立性（PICI）模型

IF 6.9 1区工程技术

Engineering Geology Pub Date : 2025-04-21 DOI: 10.1016/j.enggeo.2025.108088

M. Pazo , X. Rigueira , S. Gerassis , Á. Saavedra , I. Margarida Antunes

{"title":"Introducing AutoML and the noisy-average probabilistic independence of causal influence (PICI) model for the prediction of ornamental stone quality","authors":"M. Pazo , X. Rigueira , S. Gerassis , Á. Saavedra , I. Margarida Antunes","doi":"10.1016/j.enggeo.2025.108088","DOIUrl":"10.1016/j.enggeo.2025.108088","url":null,"abstract":"<div><div>The application of machine learning techniques to analyze large datasets enables mining companies to identify risks and allocate resources effectively, maintaining their competitive advantage. Specifically, software designed to predict the influence of geological factors on ornamental stone is crucial for cost reduction and resource optimization. This study explores an AI-based method to assess roofing slate quality using a noisy-average probabilistic independence of causal influence (PICI) model within an Automated Machine Learning (AutoML) framework. The PICI model was initially introduced and enhanced by incorporating combination functions to reduce model complexity, providing significant advantages in the subsequent phase of Bayesian AutoML inference. This complexity reduction phase was complemented by a t-SNE analysis to visualize data clusters and patterns. The study focuses on the geological setting of the Rodazais Formation in León, northwest Spain, a region renowned for its slate production. Data from 3379 slate sections across 16 boreholes, characterized by 11 different risk factors, were analyzed to determine slate quality. Results indicated that the most influential factors affecting roofing slate quality in the studied deposit were crenulation schistosity, kink-bands, microfractures, and Rock Quality Designation (RQD). Moreover, automated updating of model variables through Bayesian inference and the integration of expert knowledge improved the interpretability of slate quality index predictions and decision-making.</div></div>","PeriodicalId":11567,"journal":{"name":"Engineering Geology","volume":"352 ","pages":"Article 108088"},"PeriodicalIF":6.9,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143869701","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

Confinement-dependent behavior of a jointed rock mass: Insights from a 3D numerical perspective 节理岩体的约束依赖行为：从三维数值角度的见解

IF 6.9 1区工程技术

Engineering Geology Pub Date : 2025-04-17 DOI: 10.1016/j.enggeo.2025.108076

Xuxi Zhang , Yanyan Li , Hong Zheng , Lihui Li , Kun Li , Jianping Chen

{"title":"Confinement-dependent behavior of a jointed rock mass: Insights from a 3D numerical perspective","authors":"Xuxi Zhang , Yanyan Li , Hong Zheng , Lihui Li , Kun Li , Jianping Chen","doi":"10.1016/j.enggeo.2025.108076","DOIUrl":"10.1016/j.enggeo.2025.108076","url":null,"abstract":"<div><div>Understanding the anisotropic characteristics and failure mechanisms of jointed rock masses is essential for reliable stability evaluation in rock engineering. However, accurately quantifying the influence of in-situ stress on the mechanical properties and failure modes of such systems remains a challenging and unresolved issue. To address this gap, we developed a discrete fracture network (DFN) model based on outcrop data from a dam site in southeastern Tibet. The representative elementary volume (REV) was determined using discrete-element analysis with mechanical upscaling, and a series of numerical triaxial compression tests were conducted on REV-scale models employing the synthetic rock mass (SRM) approach. Based on the anisotropy index, an advanced method is proposed for the quantitative evaluation of rock mass anisotropy and the analysis of the failure mechanisms in 3D jointed rock masses. Our results reveal that low confining pressures primarily induce joint slippage, whereas higher confining pressures reduce the anisotropy index of the jointed rock mass. Additionally, variations in crack orientation under different stress conditions highlight the pivotal role of confinement in governing fracture development. These findings offer new insights for enhanced stability evaluation in rock engineering.</div></div>","PeriodicalId":11567,"journal":{"name":"Engineering Geology","volume":"352 ","pages":"Article 108076"},"PeriodicalIF":6.9,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143878744","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

Stability analysis of multi-stage blasting rock slopes based on the Hoek-Brown criterion considering cumulative disturbance 基于考虑累积扰动的Hoek-Brown准则的多级爆破岩质边坡稳定性分析

IF 6.9 1区工程技术

Engineering Geology Pub Date : 2025-04-17 DOI: 10.1016/j.enggeo.2025.108077

Feng Yang , Zhi-Wei Huang , Zhi-Ying Dai , San-Feng Liu , Lian-Heng Zhao

{"title":"Stability analysis of multi-stage blasting rock slopes based on the Hoek-Brown criterion considering cumulative disturbance","authors":"Feng Yang , Zhi-Wei Huang , Zhi-Ying Dai , San-Feng Liu , Lian-Heng Zhao","doi":"10.1016/j.enggeo.2025.108077","DOIUrl":"10.1016/j.enggeo.2025.108077","url":null,"abstract":"<div><div>With the extension of service life of rocky slopes such as hydropower stations and mines, their surrounding slopes need to be reconstructed. In this study, a new range of blasting damage determination is proposed and the cumulative damage of multistage blasting is quantified by the excavation disturbance factor <em>D</em>. Taking Baihetan Hydropower Station as an example, the results show that: In one-stage blasting, the rock material parameters have the largest deterioration ratio at the excavation contour line. In multi-stage blasting, the deterioration ratio of rock material parameters reaches the maximum in the cumulative damage zone, especially at the slope top of each stage of excavation. The geological strength index <em>GSI</em> has a significant role in resisting slope blasting and improving the slope safety coefficient. Under the influence of cumulative damage of multi-stage blasting, the landslide surface of the slope is easy to be formed in the cumulative damage area, and local landslides occur. This study provides valuable insights into the construction of multi-stage blasting for excavating high and steep slopes.</div></div>","PeriodicalId":11567,"journal":{"name":"Engineering Geology","volume":"352 ","pages":"Article 108077"},"PeriodicalIF":6.9,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143859389","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

Non-darcian behavior of two-phase flow in a vertical fracture with tortuous 弯曲垂直裂缝中两相流的非达西行为

IF 6.9 1区工程技术

Engineering Geology Pub Date : 2025-04-14 DOI: 10.1016/j.enggeo.2025.108072

Jingping Wang , Jiazhong Qian , Lei Ma , Yunhai Fang , Haichun Ma , Hongguang Sun

{"title":"Non-darcian behavior of two-phase flow in a vertical fracture with tortuous","authors":"Jingping Wang , Jiazhong Qian , Lei Ma , Yunhai Fang , Haichun Ma , Hongguang Sun","doi":"10.1016/j.enggeo.2025.108072","DOIUrl":"10.1016/j.enggeo.2025.108072","url":null,"abstract":"<div><div>Research on non-darcian flow behavior in fractured media is fundamental to understanding the governing laws flows in natural fractured aquifers, which is especially relevant in geothermal reservoir modeling. Although the Darcy model is utilized to describe slow flows in these geometries, quantitative descriptions of two-phase flows involving non-darcian effects in rough vertical fractures have received little attention. In this study, the three-dimensional Navier-Stokes equation coupled with Cahn-Hilliard model were solved for the immiscible gas-water system with the fracture geometry satisfies the Gaussian distribution under different piezometric boundary conditions. We report significant non-darcian flow behavior for Reynolds numbers between 998 and 26,930, suggesting that the quadratic-velocity model explains Darcy deviation for high specific water discharges <em>q</em><sub>w</sub>. Additionally, we found that the water saturation index <em>S</em><sub>w</sub> had a nonlinear relationship with <em>q</em><sub>w</sub>, which allowed the definition of two regimes in which water displaced the gas phase. These findings help to modify the current methodologies for estimating the relative permeability of two-phase fluid system, allowing for the inclusion of non-Darcy effects in such estimations<strong>.</strong></div></div>","PeriodicalId":11567,"journal":{"name":"Engineering Geology","volume":"352 ","pages":"Article 108072"},"PeriodicalIF":6.9,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143847327","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

Field and numerical investigations on linkage failure of the main roof and pumpable supports in the pre-excavation recovery room 预开挖回采室主顶板与可泵支护联动破坏的现场与数值研究

IF 6.9 1区工程技术

Engineering Geology Pub Date : 2025-04-11 DOI: 10.1016/j.enggeo.2025.108075

Dong Zhang , Jianbiao Bai , Yonghong Guo , Zizheng Zhang , Rui Wang , Zhijun Tian , Shuai Yan , Qiancheng Zhu , Min Deng , Hao Fu , Shuaigang Liu

{"title":"Field and numerical investigations on linkage failure of the main roof and pumpable supports in the pre-excavation recovery room","authors":"Dong Zhang , Jianbiao Bai , Yonghong Guo , Zizheng Zhang , Rui Wang , Zhijun Tian , Shuai Yan , Qiancheng Zhu , Min Deng , Hao Fu , Shuaigang Liu","doi":"10.1016/j.enggeo.2025.108075","DOIUrl":"10.1016/j.enggeo.2025.108075","url":null,"abstract":"<div><div>In western China, longwall mining faces (LMFs) are usually equipped with a large cross-section pre-excavation recovery room (PRR). This type of entry is commonly reinforced with pumpable supports (PPS). This study investigates the stress and field failure behavior of the PPS, as well as the internal fracture mode of the roof above the PRR. A UDEC model has been developed and validated against field measurements for investigating the failure behavior of PPS and PRR under different main roof structures (MRSs). The linkage instability mechanism between the MRS and PPS has been elucidated. The rotation and misalignment of the fractured MRS triggered shear failure in the roof cables and rockbolts. The reduction in the intact width of the solid coal rib (SCR) increased the load borne by the PPS. The PPS failed prematurely, resulting in linkage instability with the unstable MRS, leading to a large deformation of the PRR. As the main roof fracture shifts from the gob to the SCR, the SCR changes from a tensile-shear failure to a tensile fracture. The PPS beneath the fractured roof primarily fails due to compression and shear failure caused by sliding. The crack damage degree (<em>D</em>) of the outby PPS reaches 85.58 % when the main roof fractures above the PRR(FP3#), while the <em>D</em> of the inby PPS is 71.24 % when the roof fractures above the SCR(FP4#). The proposed coupling control technology was implemented at the test site. Monitoring results show a maximum PPS stress of 19.3 MPa and a maximum PRR roof-to-floor convergence of 308 mm. As the LMF cuts into the PRR, the hydraulic support pressure drops significantly, reaching a peak of 5747 kN without periodic weighting. It effectively controls the large deformation of the PRR and provides a useful reference for PRR support under similar geological conditions.</div></div>","PeriodicalId":11567,"journal":{"name":"Engineering Geology","volume":"352 ","pages":"Article 108075"},"PeriodicalIF":6.9,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143829224","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

A three-dimensional agro-hydrological model for predictive analysis of shallow landslides: CRITERIA-3D 用于浅层滑坡预测分析的三维农业水文模型：criterion - 3d

IF 6.9 1区工程技术

Engineering Geology Pub Date : 2025-04-11 DOI: 10.1016/j.enggeo.2025.108073

G. Sannino , F. Tomei , M. Bittelli , C. Meisina , M. Bordoni , R. Valentino

{"title":"A three-dimensional agro-hydrological model for predictive analysis of shallow landslides: CRITERIA-3D","authors":"G. Sannino , F. Tomei , M. Bittelli , C. Meisina , M. Bordoni , R. Valentino","doi":"10.1016/j.enggeo.2025.108073","DOIUrl":"10.1016/j.enggeo.2025.108073","url":null,"abstract":"<div><div>In this paper a three-dimensional agro-hydrological model for shallow landslides' prediction is presented. The model is an extension of the CRITERIA-3D free-source model for crop development and soil hydrology, developed by the Hydrometeorological service of the Regional Agency for Environmental prevention and Energy of Emilia-Romagna region (Arpae-simc). The soil-water balance is computed through the coupling of surface and subsurface flows in multi-layered soils over areas topographically characterized by Digital Elevation Model (DEM). The rainfall infiltration process is simulated through a three-dimensional version of Richards' equation. Surface runoff, lateral drainage, capillarity rise, soil evaporation and plant transpiration contribute to the computation of the soil hydrology on an hourly basis. The model accepts meteorological hourly records as input data and outputs can be obtained for any time step at any selected depth of the soil profile. Among the outputs, volumetric water content, soil-water potential and the factor of safety of the slope can be selected. The validation of the proposed model has been carried out considering a test slope in Montuè (northern Italy), where a shallow landslide occurred in 2014 a few meters away from a meteorological and soil moisture measurement station. The paper shows the accuracy of the model in predicting the landslide occurrence in response to rainfall both in time and space. Although there are some model limitations, at the slope scale the model results are highly accurate with respect to field data even when the spatial resolution of the Digital Elevation Model is reduced.</div></div>","PeriodicalId":11567,"journal":{"name":"Engineering Geology","volume":"352 ","pages":"Article 108073"},"PeriodicalIF":6.9,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143834910","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

Machine learning enhanced bridge vulnerability quantification under rockfall hazards 机器学习增强了落石灾害下桥梁脆弱性量化

IF 6.9 1区工程技术

Engineering Geology Pub Date : 2025-04-11 DOI: 10.1016/j.enggeo.2025.108066

Jingfeng Zhang , Yifan Jing , Jie Ma , Jiaxin Luo , Han Bao , Shizhi Chen

{"title":"Machine learning enhanced bridge vulnerability quantification under rockfall hazards","authors":"Jingfeng Zhang , Yifan Jing , Jie Ma , Jiaxin Luo , Han Bao , Shizhi Chen","doi":"10.1016/j.enggeo.2025.108066","DOIUrl":"10.1016/j.enggeo.2025.108066","url":null,"abstract":"<div><div>Rockfall hazards pose a significant threat to bridge safety in mountainous regions. While existing studies often separate geological hazard analysis from structural vulnerability assessments, leading to inaccurate risk evaluations. Despite advancements in rockfall trajectory modeling and structural impact simulations, limited integration of these disciplines hinders the precise quantification of bridge failure risks under dynamic rockfall scenarios. This leads to inaccurate assessments of structural damage characteristics and failure risks. This study proposes a machine learning (ML)-assisted framework for assessing bridge failure risks that integrates geological disaster analysis. First, a high-dimensional joint distribution model of rockfall impact parameters is constructed using rockfall disaster simulation and ensemble ML approach. Next, a surrogate model for evaluating the residual load-bearing capacity of bridges is developed using the XGBoost algorithm. The dataset for model training is derived from the finite element restart analysis method and Table Generative Adversarial Network (TGAN) augmentation. Monte Carlo sampling (MCs) is employed to accurately quantify bridge risk, using the high-dimensional joint distribution of impact parameters and the surrogate model for residual performance evaluation. The joint geological-structural framework enables rapid risk assessments for site-specific slopes and bridge configurations, providing actionable insights for infrastructure resilience.</div></div>","PeriodicalId":11567,"journal":{"name":"Engineering Geology","volume":"352 ","pages":"Article 108066"},"PeriodicalIF":6.9,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143859382","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

A new insight into failure mechanism of granular plugging zone for wellbore strengthening in deep fractured reservoirs based on force chains energy dissipation 基于力链能量耗散的深部裂缝性储层颗粒封堵带强化井眼破坏机制新认识

IF 6.9 1区工程技术

Engineering Geology Pub Date : 2025-04-11 DOI: 10.1016/j.enggeo.2025.108067

Xiaopeng Yan , Maojiang Li , Chengyuan Xu , Song Deng , Yili Kang , Haoran Jing , Zhenjiang You

{"title":"A new insight into failure mechanism of granular plugging zone for wellbore strengthening in deep fractured reservoirs based on force chains energy dissipation","authors":"Xiaopeng Yan , Maojiang Li , Chengyuan Xu , Song Deng , Yili Kang , Haoran Jing , Zhenjiang You","doi":"10.1016/j.enggeo.2025.108067","DOIUrl":"10.1016/j.enggeo.2025.108067","url":null,"abstract":"<div><div>The structural integrity of a granular plugging zone is critical for its ability to withstand pressure in geological formations, directly impacting the success of drilling operations in oil, gas, and geothermal reservoirs. Mesoscopic force chains, formed by the contact between granules, are essential for pressure support in these zones. This study sheds light on the pressure stability of the granular plugging zone's structure in deep wellbore conditions, especially in response to pressure fluctuations. Adopting a fresh perspective on energy dissipation in strong force chains, we conducted a photoelastic experiment to accurately observe how energy dissipation evolves in these chains under simulated pressure fluctuations in deep wellbore environments. The results show that particle shape, type, size, fluid environment, and porosity significantly impact energy dissipation. Triangular and strip-shaped particles reduced the force chain energy dissipation by over 65 %, with rates dropping from 0.0200 %/s to 0.0060 %/s. Mixed-size particles showed a dissipation decrease of 58 % to 84 % compared to single-size ones. Oil-based drilling fluids increased dissipation to 0.0083 %/s, whereas a 1 % porosity reduction decreased dissipation by 13 %. The evolution of force chain energy is driven by external loads and internal dissipation from granular interactions. Displacement and structural damage disrupt the mechanical equilibrium of particles transferring the strong contact force, triggering energy surface changes that consequently lead to macroscopic failure. Optimizing particle shape, incorporating elastic materials, and increasing plugging zone density can enhance energy dissipation efficiency, thereby improving structural strength and stability.</div></div>","PeriodicalId":11567,"journal":{"name":"Engineering Geology","volume":"352 ","pages":"Article 108067"},"PeriodicalIF":6.9,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143816813","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

Amplified coseismic loess failure and postseismic landslide acceleration triggered by the 2023 Jishishan, China earthquake 2023年鸡石山地震引发的同震黄土破坏及震后滑坡加速

IF 6.9 1区工程技术

Engineering Geology Pub Date : 2025-04-11 DOI: 10.1016/j.enggeo.2025.108074

Chuang Song , Bo Chen , Yu Li , Zhenhong Li , Jiantao Du , Chen Yu , Jianbing Peng , Haihui Liu , Zhenjiang Liu , Xiaoning Hu , Xinlong Li , Yong Hu , Giovanni Crosta

{"title":"Amplified coseismic loess failure and postseismic landslide acceleration triggered by the 2023 Jishishan, China earthquake","authors":"Chuang Song , Bo Chen , Yu Li , Zhenhong Li , Jiantao Du , Chen Yu , Jianbing Peng , Haihui Liu , Zhenjiang Liu , Xiaoning Hu , Xinlong Li , Yong Hu , Giovanni Crosta","doi":"10.1016/j.enggeo.2025.108074","DOIUrl":"10.1016/j.enggeo.2025.108074","url":null,"abstract":"<div><div>Moderate-sized earthquakes of magnitude 6 are typically considered not as destructive as larger earthquakes (>M7), but this may be different when triggering geohazards in semi-arid environments. Agricultural production in such environments relies on irrigation, which increases liquefaction susceptibility, particularly in loess deposits that are highly porous, prone to structure collapse, and amplifying seismic hazards. Despite this, the combined impact of agricultural activities and loess amplification on secondary earthquake hazards has been largely overlooked. In this study, we investigated the hazards triggered by a Mw 6.1 earthquake in Jishishan County, Gansu Province, China, a region connecting the Tibetan and Loess Plateaus. Our results, derived from satellite and drone observations, field surveys, and P-wave and S-wave velocity structure inversion, reveal significantly exacerbated seismic hazards, including 9340 densely distributed coseismic landslides, a deadly 3-km-long liquefaction-induced mudflow enabled by irrigation and land reclamation, and loess-amplified seismic subsidence exceeding 0.5 m. These severe hazards are rare for earthquakes of this magnitude and underscore how agricultural activities and the unconsolidated nature of loess deposits exacerbate landsliding and damage during moderate-sized earthquakes. Additionally, we identified 372 earthquake-accelerated landslides (EALs) using time-series InSAR. Compared to coseismic loess landslides, EAL is prone to occur in the far field with weaker seismic shaking. This study provides critical insights for improving the prevention and mitigation of earthquake-induced hazards in semi-arid loess environments, particularly those impacted by frequent anthropogenic modifications.</div></div>","PeriodicalId":11567,"journal":{"name":"Engineering Geology","volume":"352 ","pages":"Article 108074"},"PeriodicalIF":6.9,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143829223","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