Sabatino Cuomo, Ettore Iannuzzi, Martin Mergili, Mariagiovanna Moscariello
{"title":"Rainfall-induced runoff and debris flows: modelling the Cervinara 1999 cascade flow-like mass movements","authors":"Sabatino Cuomo, Ettore Iannuzzi, Martin Mergili, Mariagiovanna Moscariello","doi":"10.1007/s10064-025-04283-2","DOIUrl":"10.1007/s10064-025-04283-2","url":null,"abstract":"<div><p>Different types of mass flow-like movements are often triggered by rainfall in the same mountain basin in different seasons of the year, ranging from debris flows to hyper-concentrated flows and flash floods. Despite some similarities, such as large runout and high velocity, these natural hazards are different in their propagation mechanisms. Landslide mass and materials eroded along the path may be deposited along the channel(s) and subsequently remobilised; in other cases, runoff and debris mix inside the channels or nearby the protective structures. Such combined processes are typical along the northern Italian Alps but also in steep catchments in Liguria, Campania and Calabria regions. In this work, a two-phase mathematical framework is adopted to simulate the propagation of solid and water mixtures along a 3D terrain model. The mass and momentum conservation equations are solved by including the rheological behaviour models of the materials involved: frictional for soil, Newtonian for water. Selected scenarios are presented for a case study in Southern Italy with a discussion provided on how solid concentration of flow-like mass movements evolves in a mountain catchment. Numerical results show that at first, the runoff water accumulated within the natural channels and then a debris flow propagated rapidly down the slope meanwhile the concentration of solid material decreased due to the addition of runoff water and a hyperconcentrated flow reached the foothill area, later even more diluted and capable to move several kilometres far until it almost reached a railway line.</p></div>","PeriodicalId":500,"journal":{"name":"Bulletin of Engineering Geology and the Environment","volume":"84 6","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10064-025-04283-2.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143919032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Debris-flow susceptibility assessment using deep learning algorithms with GeoDetector for factor optimization","authors":"Kun Li, Junsan Zhao, Guoping Chen, Yongping Li","doi":"10.1007/s10064-025-04343-7","DOIUrl":"10.1007/s10064-025-04343-7","url":null,"abstract":"<div><p>Accurate assessment of debris flow susceptibility is crucial for disaster prevention and evaluation in mountainous regions. This study proposes a debris flow susceptibility assessment method based on the Convolutional neural network (CNN)-bidirectional long-short-term memory neural network (BiLSTM)-attention mechanism (CNN-BiLSTM-attention) deep learning model that combines geographic information technology and artificial intelligence algorithms. The study area is the Xiaojiang River watershed in the Yunnan-Guizhou Plateau, a region prone to frequent debris flows. First, a debris flow conditioning factor system and a debris flow sample set are constructed using multi-source data, including remote sensing, geological, and precipitation data, with the watershed unit as the assessment unit. Second, the geoDetector method is adopted to explore the optimal combination of conditioning factors. Finally, the CNN-BiLSTM-Attention model is applied to quantitative analyze debris flow susceptibility, and its performance is compared against three deep learning models and three machine learning models. The findings are summarized as follows. Lithology, elevation difference, average slope, 24H maximum precipitation, average elevation, average modified normalized difference water index (MNDWI), Melton ratio, average land surface temperature (LST), and channel gradient are the dominant factors influencing the debris flows development. The prediction performance of CNN-BiLSTM-Attention is significantly better than that of the other six models. Its area under the receiver operating characteristic curve (AUC), accuracy (ACC) and mean absolute error (MAE) reach 0.903, 0.953 and 0.165 respectively, demonstrating excellent prediction accuracy and generalization performance. This study offers new insights for debris flow susceptibility analysis.</p></div>","PeriodicalId":500,"journal":{"name":"Bulletin of Engineering Geology and the Environment","volume":"84 6","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143918949","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":"Investigating the potential valorization of phosphate mine waste rock as railway ballast alternative aggregates: a novel opportunity to advance sustainable transport infrastructure initiatives","authors":"Omar Inabi, Yassine Taha, Abdessamad Khalil, Mustapha El Ghorfi, Rachid Hakkou, Mostafa Benzaazoua","doi":"10.1007/s10064-025-04326-8","DOIUrl":"10.1007/s10064-025-04326-8","url":null,"abstract":"<div><p>Railway ballast is always in demand since it provides the fundamental support for rail tracks all over the world. Railway ballast is essential for maintaining the stability and durability of train infrastructure. The requirement for this material is driven by the increasing need for efficient transportation networks induced by the growing population and rapid urbanization. More evidence of the need for a sufficient supply of ballast comes from the development of high-speed rail initiatives and the upgrading of current rail networks. To meet this demand, environmentally-conscious sourcing methods and creative approaches to addressing environmental issues are needed, meanwhile maintaining the dependability and effectiveness of railway networks worldwide. Millions of tons of mining waste consisting of various components are produced annually by phosphate extraction activities, including those at the Benguerir mine in Morocco. Ballast materials are often composed of higher quality igneous or metamorphic rock; this work is unique for its novel approach to study the possibility of manufacturing railway ballast aggregates from sedimentary-origin mining waste. The three hardest lithologies -flintstone, phos-flint, and dolomitic limestone- are the subject of this study. A comprehensive assessment was conducted, including: (i) petrographic characterization, (ii) environmental and health behavior analysis, (iii) geometric requirement verification, (iv) physical characterization, (v) chemical and mineralogical evaluation, (vi) geotechnical analysis, and (vii) durability tests. The results indicate that these sedimentary-origin materials do not meet the mechanical performance standards required for railway ballast. However, their potential for use in other applications, such as concrete aggregates and road construction, is promising.</p></div>","PeriodicalId":500,"journal":{"name":"Bulletin of Engineering Geology and the Environment","volume":"84 6","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143908628","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}
Jie Huang, Tuozhan Wu, Zhouhong Zong, Yahao Pan, Minghong Li
{"title":"Experimental and numerical study of blast-induced liquefaction in saturated calcareous sand sites","authors":"Jie Huang, Tuozhan Wu, Zhouhong Zong, Yahao Pan, Minghong Li","doi":"10.1007/s10064-025-04302-2","DOIUrl":"10.1007/s10064-025-04302-2","url":null,"abstract":"<div><p>Calcareous sands are an important backfill material in artificial reef construction, and its stability under strong dynamic loads is crucial for ensuring the overall stability of reefs. Extensive studies on the seismic-induced liquefaction of calcareous sands have been conducted, but none have examined its characteristics of blast-induced liquefaction. Therefore, this study conducted a series of experimental and numerical investigations on the characteristics of blast-induced liquefaction in saturated calcareous sand sites. Field explosion tests were carried out on saturated calcareous sand sites with different scaled burial depths. Subsequently, liquefaction analysis models were constructed using the nonlinear dynamic analysis software LS-DYNA and were validated against measured stress waves. The numerical results indicated that the variation in pore water pressure (PWP) was consistent with the shock wave pattern, exhibiting a significant peak. Based on the numerical calculation results, empirical formulas for blast-induced liquefaction in saturated calcareous sands were established. Finally, the parameters analysis revealed that, under the same scaled burial depth, the stabilized PWP increased with the charge weight, and the liquefaction zone increased with the explosive charge. Under the same explosive equivalent, the accumulated area of excess pore water pressure (EPWP) decreased with the increase of explosive scaled burial depth. At the same scaled burial depth, the liquefaction impact range remained essentially the same across different charge weights. Enhancing the compactness of calcareous sands can improve its resistance to blast-induced liquefaction.</p></div>","PeriodicalId":500,"journal":{"name":"Bulletin of Engineering Geology and the Environment","volume":"84 6","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143908662","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 characteristics of heated granite under different minor principal stresses: an experimental study","authors":"Jianqing Jiang, Huanjia Li, Jipeng Cai, Shihong Hu, Xiaochuan Hu, Benguo He","doi":"10.1007/s10064-025-04315-x","DOIUrl":"10.1007/s10064-025-04315-x","url":null,"abstract":"<div><p>High temperature is a crucial external environmental factor that significantly affects rock failure. This study involved conducting true-triaxial compressive tests on heated granite specimens to examine the influence of heat treatment on granite failure under different minor principal stresses (<i>σ</i><sub>3</sub> = 0.5, 5, and 15 MPa). The specimens were heated to the following maximum temperatures: 25 ℃ (without heat treatment), 100 ℃, 300 ℃, 500 ℃, and 600 ℃. The experimental results indicate that specimen strength first increased and then decreased as the maximum heating temperature increased from 25 ℃ to 600 ℃, reaching peak strength at 300 ℃, indicating an obvious effect of heat treatment on rock strength. High <i>σ</i><sub>3</sub> enhanced the effect of heat treatment on rock strength. Additionally, the pre-peak strains indicated an obvious transition in specimen deformation characteristics from brittleness to ductility as the maximum heating temperature increased to about 500℃ under <i>σ</i><sub>3</sub> = 0.5 MPa. However, this transition became less clear with increasing <i>σ</i><sub>3</sub>, indicating that <i>σ</i><sub>3</sub> masks the effect of heating on rock deformation. Furthermore, the failure severity of the heated specimen first increased and then decreased as the maximum heating temperature increased. All tested specimens exhibited a mixed tensile-shear failure mode. When the maximum heating temperature was low, the failure mode of the tested specimens changed from mode I to mode II as <i>σ</i><sub>3</sub> increased from 0.5 MPa to 15 MPa. When the maximum heating temperature was high, the failure mode changed from mode II to mode III with increasing <i>σ</i><sub>3</sub>.</p></div>","PeriodicalId":500,"journal":{"name":"Bulletin of Engineering Geology and the Environment","volume":"84 6","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143913860","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}
Xiaoxu Tian, Zhanping Song, Yun Cheng, Junbao Wang
{"title":"Deformation distribution characteristics of a tunnel–slope system and its reinforcement measures","authors":"Xiaoxu Tian, Zhanping Song, Yun Cheng, Junbao Wang","doi":"10.1007/s10064-025-04297-w","DOIUrl":"10.1007/s10064-025-04297-w","url":null,"abstract":"<div><p>Mountain tunnel portals unavoidably traverse slopes, forming tunnel–slope systems. During the construction of these systems, engineering disasters such as slope deformation and sliding induced by tunnel excavation and collapse often occur. Using the Hanshankou tunnel as an engineering case, the deformation and force occurring during the entire construction process of the tunnel–slope system were monitored. The daily variation in tunnel vault settlement was 1.85 mm, and after 48 days, the cumulative settlement reached 84.1 mm. Tunnel–slope system disasters involve progressive instability failure processes, and deformation does not converge before a disaster can occur. Under the action of slope deformation, a deep buried side liner can experience extrusion deformation into the tunnel, and a shallow buried side can experience extrusion deformation outside the tunnel. During the tunnel design process, the tunnel–slope system should not be simply regarded as a conventional biased tunnel, and the influence of slope deformation on the bearing capacity of the liner should be considered. Finally, on the basis of the numerical analysis and monitoring results, the causes of slope sliding and the effectiveness of reinforcement measures were analyzed, and lessons to prevent similar events in the future were summarized.</p></div>","PeriodicalId":500,"journal":{"name":"Bulletin of Engineering Geology and the Environment","volume":"84 6","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143908798","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}
Liu He, Jiaxin Yan, Junxiang Bi, Zihai Peng, Liwei Bai
{"title":"Study on the degradation characteristics and strength prediction model of sandstone joints under wetting and drying cycles","authors":"Liu He, Jiaxin Yan, Junxiang Bi, Zihai Peng, Liwei Bai","doi":"10.1007/s10064-025-04324-w","DOIUrl":"10.1007/s10064-025-04324-w","url":null,"abstract":"<div><p>The cyclic effects of wetting and drying on rock joints, driven by reservoir-level fluctuations, significantly influence the degradation of their shear mechanical behavior. This study investigates the degradation mechanisms of sandstone joint specimens under controlled wetting–drying cycles (WDCs), with a focus on the evolution of joint morphology and mechanical properties. A systematic experimental approach was adopted to analyze the effects of varying cycle numbers (<i>n</i>), joint wall compressive strengths (JCS), roughness parameters (<i>r</i>), and normal stresses (<span>({sigma }_{n})</span>) on degradation. The key findings reveal that, with increasing WDCs, joint surface roughness decreases, transitioning from rough to smooth, particularly during the initial six cycles. Shear behavior analysis shows a reduction in peak shear strength and an increase in peak shear displacement as the number of cycles increases. The study identifies the progressive weakening of JCS, <i>r</i>, and the basic friction angle (<span>({varphi }_{b})</span>) as the primary drivers of these changes. Two distinct failure mechanisms are observed: shear-off and wear, with wear failures becoming dominant as the number of cycles increases. A predictive shear strength model incorporating the weakening effects of WDCs is developed using regression analysis, achieving a mean relative error of 5.41%, thus validates its reliability. These findings provide new insights into rock joint behavior under fluctuating reservoir conditions and emphasize the critical role of mechanical and morphological degradation in hydraulic stability assessments.</p></div>","PeriodicalId":500,"journal":{"name":"Bulletin of Engineering Geology and the Environment","volume":"84 6","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143908626","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}
Ruiling Zhang, MiaoLe Hou, Youqiang Dong, Yihao Li
{"title":"Digital twin-based risk assessment method for dynamic monitoring of heavy rain disasters in rammed earth city site: a case study of the Puzhou ancient city","authors":"Ruiling Zhang, MiaoLe Hou, Youqiang Dong, Yihao Li","doi":"10.1007/s10064-025-04274-3","DOIUrl":"10.1007/s10064-025-04274-3","url":null,"abstract":"<div><p>In response to the complex risks that disasters caused by heavy rains bring to rammed earth ancient city site. This study proposes a heavy rain risk monitoring method based on digital twin technology, and uses the risk assessment model as an important twin model for intelligent prediction, aiming to improve the efficiency of risk identification, meet the needs of high-quality decision-making, and optimize the disaster management process. First, a user-friendly digital twin monitoring platform architecture is defined to include four layers: data layer, entity layer, model layer and function layer, which work together to enhance monitoring and prediction capabilities. Then, combining the dangers of disaster-causing factors and the vulnerability of the ancient city site itself, a risk assessment model was established to predict potential risks and threats in heavy rains. Finally, the effectiveness of this method was verified through practical application in the ancient city of Puzhou. This research not only provides a comprehensive management solution for ancient city site protection and disaster prevention, but also opens up a new path for digitally driven flood disaster risk assessment and prediction.</p></div>","PeriodicalId":500,"journal":{"name":"Bulletin of Engineering Geology and the Environment","volume":"84 6","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143908633","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":"Development of regional soil desiccation cracking susceptibility assessment model using GIS-based fuzzy comprehensive evaluation","authors":"Ting Wang, Chao-Sheng Tang, Zhi-Xiong Zeng, Ben-Gang Tian, Jin-Jian Xu, Qing Cheng, Zheng-Tao Shen, Xiao-Hua Pan","doi":"10.1007/s10064-025-04325-9","DOIUrl":"10.1007/s10064-025-04325-9","url":null,"abstract":"<div><p>Soil desiccation cracking can detrimentally influence the soil mechanical and hydraulic properties and reduce slope soil stability. However, existing studies primarily focused on experimental scale investigations, and there was a lack of quantitative assessment at a regional scale that accounts for multiple influencing factors. In this study, a soil desiccation cracking susceptibility assessment model was developed based on 11 meteorological sensitivity and soil sensitivity indicators by incorporating the experimental findings, unitizing the fuzzy comprehensive evaluation and geographic information system (GIS). The model was validated using a receiver operating characteristic (ROC) curve based on field inventory data, and applied to assess the regional susceptibility of soil cracking in Nanjing, Jiangsu Province, China. The results indicate that approximately 44.8% of the study area exhibits moderate susceptibility, predominantly in the northern, northwestern, and central regions. The model achieves an area under the ROC curve (AUC) of 0.734, demonstrating its capability in quantifying soil cracking susceptibility. This study provides a novel framework for large-scale soil cracking susceptibility assessment, and critical spatial information for risk evaluation of slope stability under future extreme climatic conditions.</p></div>","PeriodicalId":500,"journal":{"name":"Bulletin of Engineering Geology and the Environment","volume":"84 6","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143908660","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":"Effects of different division methods of landslide susceptibility levels on regional landslide susceptibility mapping","authors":"Faming Huang, Yang Yang, Bingchen Jiang, Zhilu Chang, Chuangbing Zhou, Shui-Hua Jiang, Jinsong Huang, Filippo Catani, Changshi Yu","doi":"10.1007/s10064-025-04281-4","DOIUrl":"10.1007/s10064-025-04281-4","url":null,"abstract":"<div><p>Reasonable division methods of landslide susceptibility indexes (LSIs) are crucial for producing landslide susceptibility levels (LSLs), including very low, low, moderate, high, and very high levels. However, few studies have systematically compared division methods such as natural break, equal interval, quantile, geometric interval, and K-means. Moreover, these methods start from LSIs but ignore the nonlinear correlation between known landslides and LSIs. To address this, the natural break-frequency ratio (FR) method is proposed, combining the natural break method for LSLs division with the FR method. First, the five conventional methods divide LSIs predicted by three machine learning models in An’yuan County, China. Then, the natural break-FR method is proposed to divide the same LSIs and compared with these methods. The natural break-FR, equal interval and K-means method yielded the largest sum of landslide ratio in very high and high susceptibility level, showing these methods can use high and very high susceptibility levels to predict as many landslides as possible. Finally, statistical perspectives of known landslide identification, division area proportion, and landslide ratio are applied to discuss how to select a suitable division method. Results show different division methods have comparative effects on final LSLs. The landslide ratios of equal interval, K-means, and natural break methods at high and very high susceptibility levels are greater than the former methods. The natural break-FR method performs best with MLP and SVM, but in the more precise RF model, the equal interval method outperforms it, followed by the natural break-FR method.</p></div>","PeriodicalId":500,"journal":{"name":"Bulletin of Engineering Geology and the Environment","volume":"84 6","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143913822","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}