{"title":"Comparison and Improvement Analysis of Coal Damage Feature Image Recognition Methods Under Loading Conditions","authors":"Xiangchun Li, Mingtao Wang, Yaoyu Shi, Yueyi Li, Liang Zhang, Jiang Zhu","doi":"10.1007/s00024-025-03717-y","DOIUrl":"10.1007/s00024-025-03717-y","url":null,"abstract":"<div><p>With the transfer of coal mining to the deep part of China, the geostress environment endured by the deep coal body is more complicated, which seriously threatens the safe and efficient production of coal mines. This paper aims to investigate the accuracy of common image recognition methods in identifying coal cracks. It seeks to lay a foundation for understanding the macroscopic destruction mechanisms of coal bodies and the prevention and control of coal mine gas hazards by analyzing the evolution of macroscopic fissures in coal samples during loading experiments. High-speed video cameras recorded the coal body destruction process. Comparative analysis was performed on coal samples under four loading conditions using eleven image recognition methods in Matlab. The completeness and accuracy of each image were assessed based on the pixel counts of binarized images. The findings reveal that all methods, except for the region growth and mathematical morphology processing methods which lost significant crack information, effectively recognized crack information. The 2D convolution method exhibited excellent performance in image recognition, achieving the highest completeness and accuracy at all stages. After further optimization and enhancement, significant improvements in crack recognition were observed, with the completeness and accuracy of the Stage 1 coal samples increasing by 9.19% and 8.13%, respectively. Stage 4 coal samples had the highest checking completeness and accuracy rates, reaching 64.14% and 69.73%, respectively. The results of this paper provide a theoretical reference for the development of image recognition technology and safe coal mining.</p></div>","PeriodicalId":21078,"journal":{"name":"pure and applied geophysics","volume":"182 5","pages":"1963 - 1982"},"PeriodicalIF":1.9,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145165091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
José Antonio Ramoz León, Emilia Fregoso Becerra, Abel Palafox González
{"title":"A Variational Formulation of the Euler Deconvolution Method for Gravity Data Inspired by Optical Flow","authors":"José Antonio Ramoz León, Emilia Fregoso Becerra, Abel Palafox González","doi":"10.1007/s00024-025-03718-x","DOIUrl":"10.1007/s00024-025-03718-x","url":null,"abstract":"<div><p>The Euler deconvolution method has been widely used to estimate the structure and location of source bodies from measured geophysical data. The horizontal estimates for the source bodies, provided by the Euler deconvolution method, are excellent in most cases, and there are areas of opportunity for in-depth estimation when two or more sources are present. In the field of image processing, there is the problem of determining the optical flow within a sequence of images. A popular method for estimating the optical flow is the Lucas-Kanade method. Although geophysical data inversion and optical flow are different phenomena, the Euler deconvolution and Lucas-Kanade methods are very similar. This fact drives the research hypothesis of this work: Horn and Schunck proposed a variational formulation for the optical flow problem that improves the capabilities of the Lucas-Kanade method. Thus, a variational formulation for the Euler’s equation, in a sense similar to Horn and Schunck’s proposal, would improve the results offered by the classical Euler deconvolution method. This hypothesis is investigated in this work and the findings are reported in the light of challenging synthetic test cases.</p></div>","PeriodicalId":21078,"journal":{"name":"pure and applied geophysics","volume":"182 5","pages":"2001 - 2022"},"PeriodicalIF":1.9,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145164084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Olagoke E. Daramola, Emeka E. Epuh, Chukwuma J. Okolie, Ikenna D. Arungwa, Ojima I. Apeh, Ahmed Fatoyinbo, Samuel Akinnusi, Michael J. Orji, Robert Tenzer
{"title":"Detection of Crustal Deformation Using a Gravimetric and Multitemporal Interferometric SAR (MT-InSAR) Approach","authors":"Olagoke E. Daramola, Emeka E. Epuh, Chukwuma J. Okolie, Ikenna D. Arungwa, Ojima I. Apeh, Ahmed Fatoyinbo, Samuel Akinnusi, Michael J. Orji, Robert Tenzer","doi":"10.1007/s00024-025-03715-0","DOIUrl":"10.1007/s00024-025-03715-0","url":null,"abstract":"<div><p>Gradual crustal deformation processes and deposition may lead to new formations within affected geologies and geomorphologies. This study investigates crustal deformation within the well-known Anambra Sedimentary Basin of Nigeria by exploring interferometric synthetic aperture radar (InSAR) data from the Sentinel-1 satellite mission and tailored gravity model, a high-resolution gravity model integrating satellite, terrestrial and topographic data for the basin. Derived gravity maps demonstrate varying fault mechanisms and reveal the existence of NE–SW and NW–SE trending faults which may have led to the Oligocene formation along the NW–SE fault trend. The InSAR displacement maps reveal subsidence and uplift rates up to 8.8 mm/year, and 7.7 mm/year, respectively. This observed deformation in the Anambra Basin is due to fault-related factors as the highest subsidence rate is found in Ebonyi State between the Abakaliki anticlinorium and the Afikpo syncline and the differential loading in basin formation boundaries. Land subsidence is found to happen in the Anambra metropolis where urban sprawl is centred. Increased groundwater levels in the basin have also helped to reduce subsidence rates. This study has provided insights into the possible factors contributing to crustal deformation in the Anambra Basin, informing policymakers towards effective urban planning and resource management, and possible artificial groundwater recharge.</p></div>","PeriodicalId":21078,"journal":{"name":"pure and applied geophysics","volume":"182 5","pages":"2111 - 2134"},"PeriodicalIF":1.9,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145164524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multiples Suppression in Common-Offset GPR Data Based on Correlation-Predictive Deconvolution","authors":"Kuiye Wei, Hongbing Zhang, Fanxin Zeng","doi":"10.1007/s00024-025-03701-6","DOIUrl":"10.1007/s00024-025-03701-6","url":null,"abstract":"<div><p>Ground-penetrating radar (GPR) is a widely utilized near-surface geophysical technique. However, the interpretation of GPR data remains challenging due to the presence of coherent noise, particularly multiples. This study investigates the autocorrelation profile characteristics of fundamental surface and internal multiples in velocity-increasing media. It then introduces a predictive deconvolution parameter selection strategy based on the energy distribution of primary waves and multiples within the autocorrelation profile, with the aim of simultaneously suppressing these multiples in zero-offset data. Subsequently, this strategy is applied to non-zero common offset data for both TE and TM polarizations. The results demonstrate that setting the prediction filter length equal to the number of single-trace sampling points, combined with a prediction step length ranging from the last PP events to the first PM events, effectively suppresses both surface and internal multiples. This approach significantly enhances the signal-to-noise ratio and improves the accuracy of profile interpretation in GPR common offset data, as evidenced by field data validation.</p></div>","PeriodicalId":21078,"journal":{"name":"pure and applied geophysics","volume":"182 4","pages":"1617 - 1636"},"PeriodicalIF":1.9,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143883625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Subhasis Pradhan, P. Senthilkumar, Umakanta Pradhan, Subrat Naik, Rabindra Kumar Sahoo, Anitha Gera, Uma Sankar Panda, Pravakar Mishra, M. V. Ramana Murthy, P. Vipin Babu
{"title":"Short-Term Response of Mandous Severe Cyclone on Coastal Water Quality Along Southwestern Bay of Bengal, India","authors":"Subhasis Pradhan, P. Senthilkumar, Umakanta Pradhan, Subrat Naik, Rabindra Kumar Sahoo, Anitha Gera, Uma Sankar Panda, Pravakar Mishra, M. V. Ramana Murthy, P. Vipin Babu","doi":"10.1007/s00024-025-03708-z","DOIUrl":"10.1007/s00024-025-03708-z","url":null,"abstract":"<div><p>The investigation into coastal water quality during Severe Cyclonic Storm (SCS) Mandous in the southwestern Bay of Bengal utilizes satellite and water quality buoy data. Key observations include a decline in sea surface temperature (SST), fluctuations in salinity, and an increase in chlorophyll levels before and after the cyclone. SST dropped by more than 2 °C during the cyclone’s passage, recovering within a day. Cosatal waters north of the cyclone track exhibited lower salinity due to heavy precipitation and land runoff, and the cosatal waters south of the cyclone track experienced elevated salinity, likely caused by the transport of high-salinity offshore water through cyclonic eddies. A significant rise in chlorophyll-a concentration was also observed along the storm’s path. The formation of cyclonic eddies, vertical mixing, upwelling, and altered wind patterns during SCS Mandous had a marked impact on water quality. Real-time water quality monitoring can enhance early warning systems, support adaptive strategies for fisheries and aquaculture, and guide coastal infrastructure planning. Additionally, the study underscores the necessity of integrating climate change resilience into coastal zone management, ensuring the protection of marine ecosystems and the livelihoods of coastal communities. This research highlights the importance of short-term coastal water variability assessments during extreme events for sustainable coastal management.</p></div>","PeriodicalId":21078,"journal":{"name":"pure and applied geophysics","volume":"182 5","pages":"2219 - 2238"},"PeriodicalIF":1.9,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145164523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Application of Generative Adversarial Networks in Geoelectrical Field Data Processing: Innovative Approach to Solving Inverse Problems","authors":"M. H. Shahnas, O. M. Alile, R. N. Pysklywec","doi":"10.1007/s00024-025-03710-5","DOIUrl":"10.1007/s00024-025-03710-5","url":null,"abstract":"<div><p>The geoelectrical survey method generates subsurface cross-section images based on physical properties but requires a solution to an inverse problem with potential ambiguities in model interpretation and substructure uncertainties. The purpose of this study is to use an alternative machine learning computational approach to the traditional electrical resistivity tomography (<i>ERT</i>) method in order to reduce these ambiguities and uncertainties as well as the labour-intensive nature of conventional computational methods. Exploring a relationship between the apparent and true resistivity data in the training samples, our innovative method directly inverts the resistivity pseudo-section into the resistivity section (parameters). In this study, samples are drawn from a set of data collected from landfill locations in Nigeria and inverted using the conventional geophysical method of interpretation utilizing the <i>RES2DINV</i> software. The inverted data (true resistivity tomography images) along with the source data (apparent resistivity images) are used as training samples to develop predictor models based on the <i>Pix2Pix</i> conditional generative adversarial networks (<i>Pix2Pix-cGAN</i>). Initial results with a small number of training samples reveal about 89% structural similarity between the true resistivity tomography obtained by the standard inversion method and those predicted by the <i>Pix2Pix</i> translator.</p></div>","PeriodicalId":21078,"journal":{"name":"pure and applied geophysics","volume":"182 5","pages":"2169 - 2182"},"PeriodicalIF":1.9,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145163428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
H. Zafarani, A. Khalaj, S. M. M. Ghafoori, M. R. Soghrat
{"title":"Spatial Correlation of Peak Ground Motions (PGA and PGV) and Spectral Accelerations Based on the Iranian Earthquake Data","authors":"H. Zafarani, A. Khalaj, S. M. M. Ghafoori, M. R. Soghrat","doi":"10.1007/s00024-025-03713-2","DOIUrl":"10.1007/s00024-025-03713-2","url":null,"abstract":"<div><p>Seismic risk assessment in a regional scale needs to estimate the ground motion intensity measures (GMIMs) at different sites together for a given earthquake scenario. It is shown that GMIMs and structural responses are correlated in nearby sites. So, spatial correlation models have a fundamental role in risk estimation, especially, when lifeline systems or distributed structures are of concern. The trend of these correlations depends on some variable such as magnitude, the local geology and inter-site distance and the spectral period. Considering regional dependency of earthquake source, path and site effects, it is important to develop empirical region-specific correlation models. In this study, the spatial correlation model is proposed for different intensity measures including peak ground acceleration (PGA), peak ground velocity (PGV) and spectral acceleration (SA) based on earthquake records of the Iranian plateau. The intra-event residuals are computed using local ground motion models proposed by Zafarani and Soghrat (J Earthq Eng 28(4):922–945, 2024). A correlation model is developed using semivariogram analysis of strong motion data. As a framework for correlation modeling, a kind of exponential model is employed. The results show that the range generally has an increasing trend as a function of period that seems to be in agreement with other studies on this subject.</p></div>","PeriodicalId":21078,"journal":{"name":"pure and applied geophysics","volume":"182 5","pages":"2023 - 2038"},"PeriodicalIF":1.9,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145163647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cham Dinh Dao, Thao Thi Dao, V. V. Zharikov, Xuan Cuong Nguyen, Quoc Bao Pham, Duoc Tan Nguyen
{"title":"Hazard Assessment for Extreme River Flood Events in the Downstream of Lam River Basin, Vietnam","authors":"Cham Dinh Dao, Thao Thi Dao, V. V. Zharikov, Xuan Cuong Nguyen, Quoc Bao Pham, Duoc Tan Nguyen","doi":"10.1007/s00024-025-03714-1","DOIUrl":"10.1007/s00024-025-03714-1","url":null,"abstract":"<div><p>This study investigates the impacts of rare flood events on the downstream area of the Lam River system, a densely populated economic and political area in North Central Vietnam. The floods from 2010 and 2013 were used to validate and calibrate the numerical model. The numerical results showed good agreement with observed data and satellite images. Three scenarios of water levels at the upstream Dua station were simulated to assess flood depth and areas downstream. Scenario 1, with a water level of 20.5 m, resulted in a flooded area of approximately 25,401.26 ha. In scenario 2, with a water level of 22.5 m, the flooded area increased to 35,476.77 ha. Scenario 3, with a water level of 24.5 m, showed the most significant impact, with a flooded area of 40,804.35 ha, 15% larger than scenario 2. Based on these simulations, flood maps were created to support evacuation plans during severe floods. The results provide a scientific basis for strategies to mitigate flood damage and propose socio-economic development plans for the Lam River basin.</p></div>","PeriodicalId":21078,"journal":{"name":"pure and applied geophysics","volume":"182 5","pages":"2183 - 2197"},"PeriodicalIF":1.9,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145163649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Claudia Spinetti, Marina Bisson, Lisa Beccaro, Roberto Gianardi, Laura Colini, Alessandro Galvani, Vincenzo Sepe, Cristiano Tolomei
{"title":"Debris Flows and Ground Deformation at Colli Albani Hills Volcano (Italy)","authors":"Claudia Spinetti, Marina Bisson, Lisa Beccaro, Roberto Gianardi, Laura Colini, Alessandro Galvani, Vincenzo Sepe, Cristiano Tolomei","doi":"10.1007/s00024-025-03698-y","DOIUrl":"10.1007/s00024-025-03698-y","url":null,"abstract":"<div><p>Colli Albani Hills, a volcanic complex located 20 km SE of Roma (Italy), represents a long-dormant caldera system and its last eruption is dated back ~ 20 ky. It is subjected to seismic swarms, gaseous emissions and ground deformations. The whole volcanic complex is affected by landslides of different typologies and in the past the most frequent were debris flows. In this study, for the first time, the debris flows susceptibility of the complex is mapped through a heuristic approach that combines parameters recognized in literature as the main predisposing factors to slope instability. Such parameters are morphometry elements, lithology and land cover. The resulting map, validated through historical landslides, classifies the entire complex according to five degrees of susceptibility, identifying Tuscolano-Artemisio caldera edge, Mt. Faete, and steep slopes of Nemi and Albano lakes at high and very high susceptibility. The instability of the entire complex is further investigated measuring the ground deformations observed by using InSAR data in the period 2016–2023. InSAR results, validated through GNSS data, show the overall stability of the complex, except a few areas. In detail, an ongoing uplift of about 1.5 mm/yr is recorded in Genzano di Roma municipality. The InSAR results combined with the debris flows susceptibility map and historical landslides highlight the steep slopes of Albano and Nemi lakes and Giulianello locality, outside the caldera, as the areas potentially most predisposed to trigger debris flows as classified at very high susceptibility and affected by both ground deformations and historical debris flows.</p></div>","PeriodicalId":21078,"journal":{"name":"pure and applied geophysics","volume":"182 5","pages":"2089 - 2109"},"PeriodicalIF":1.9,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00024-025-03698-y.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145163648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Shallow Crustal Velocity Structure and Tectonic Significance Beneath the Fildes Peninsula, West Antarctica","authors":"Huigui Sun, Lijun Chang, Laiyu Lu, Tongwei Qin","doi":"10.1007/s00024-025-03712-3","DOIUrl":"10.1007/s00024-025-03712-3","url":null,"abstract":"<div><p>The Fildes Peninsula is the most exposed area of King George Island, Antarctica, which has experienced frequent volcanic activities, and its strata are composed mainly of basalt lava, making it an ideal location for conducting scientific research in Antarctica. This study provides the first constraint on the shallow crustal structure of the peninsula through ambient noise tomography and horizontal-to-vertical spectral ratio (HVSR) analyses utilizing a dense array of short-period portable seismometers deployed in the study area. The results indicate that the sediment layers on the peninsula are very thin and reveal inhomogeneity within the shallow crust of the study area, which may be related to the characteristics of the surface geological structure. Consistent with crustal activity characteristics observed in most volcanically active regions around the globe, the shallow layers in the study area exhibit predominantly negative radial anisotropy. Our results provide an important imaging basis for the study of shallow crustal structure and deformation on the Fildes Peninsula.</p></div>","PeriodicalId":21078,"journal":{"name":"pure and applied geophysics","volume":"182 5","pages":"1949 - 1962"},"PeriodicalIF":1.9,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145163646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}