Journal of Applied Geophysics最新文献

{"title":"Frequency-dependent magnetic susceptibility as a proxy for monitoring ETM zones in a Volcanic River Estuary","authors":"Abd Mujahid Hamdan ,&nbsp;Syafrina Sari Lubis ,&nbsp;Hamdi Rifai","doi":"10.1016/j.jappgeo.2025.105896","DOIUrl":"10.1016/j.jappgeo.2025.105896","url":null,"abstract":"<div><div>Estuarine Turbidity Maximum (ETM) zones serve as critical convergence areas for suspended particles and pollutants, yet their detection in tropical volcanic estuaries remains poorly developed. This study introduces a novel application of frequency-dependent magnetic susceptibility (χ_FD) of surface sediments as a high-resolution geophysical proxy for tracking ETM dynamics and microplastic (MP) convergence. Unlike prior works focusing on suspended sediments or static sampling, this research implements a spatiotemporally resolved approach by incorporating both spatial (Δχ_FD) and temporal (Dχ_FD) gradients. Field measurements were conducted at 11 spatial stations over five consecutive days, capturing two tidal phases per day in the Krueng Aceh River estuary, Indonesia. χ_FD was analyzed alongside total suspended solids (TSS) and MP abundance, revealing a strong spatial correlation between Δχ_FD and MP (<em>r</em> = 0.58), and a weaker correlation with ΔTSS (<em>r</em> = 0.27), emphasizing χ_FD's superior sensitivity in detecting microplastic retention. Magnetic characterization via hysteresis loops, supported by scanning electron microscopy coupled with energy-dispersive x-ray spectroscopy (SEM-EDS), transmission electron microscopy (TEM), and X-ray diffraction (XRD), confirmed the dominance of pseudo-single domain magnetic particles in surface sediments. These findings demonstrate the potential of χ_FD gradients as non-invasive, cost-effective indicators for identifying ETM zones and pollutant hotspots, laying the groundwork for advanced, real-time magnetic sensor technologies in estuarine and coastal monitoring.</div></div>","PeriodicalId":54882,"journal":{"name":"Journal of Applied Geophysics","volume":"242 ","pages":"Article 105896"},"PeriodicalIF":2.1,"publicationDate":"2025-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144756828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Acoustic-electric transformations in model solid samples of cement-sand mixture in contact with aqueous salt solutions","authors":"Anatoly А. Bespalko ,&nbsp;Junhua Luo ,&nbsp;Denis D. Dann ,&nbsp;Evgeny K. Pomishin","doi":"10.1016/j.jappgeo.2025.105890","DOIUrl":"10.1016/j.jappgeo.2025.105890","url":null,"abstract":"<div><div>This paper presents the results of experimental studies of the parameters of electromagnetic signals based on acoustic-electrical transformations during contact of samples of hardened cement-sand mixture with aqueous solutions of salts. The regularities of changes in the parameters of electromagnetic signals and their spectra during excitation of such contact by deterministic acoustic pulses are determined. Based on a comprehensive analysis of the obtained results, a new method for determining the degree of penetration of salt solutions into porous materials is proposed. The possibility of quantitative assessment of mineralization of natural waters by identifying changes in the parameters of electromagnetic signals during the interaction of salt solutions with porous solid samples is shown. In addition, the applicability of the considered method for monitoring the defectiveness of dielectric porous materials is shown.</div></div>","PeriodicalId":54882,"journal":{"name":"Journal of Applied Geophysics","volume":"242 ","pages":"Article 105890"},"PeriodicalIF":2.1,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144766725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deep learning-based seismic lithofacies prediction in sparse well areas via geology-informed pseudo-well construction and transfer learning","authors":"Jinyu Meng ,&nbsp;Luanxiao Zhao ,&nbsp;Minghui Xu ,&nbsp;Hua Chen","doi":"10.1016/j.jappgeo.2025.105891","DOIUrl":"10.1016/j.jappgeo.2025.105891","url":null,"abstract":"<div><div>Accurate lithology prediction from seismic data plays a critical role in unraveling the complexities of subsurface geology, enabling informed decision-making in geo-energy exploration and production, geological storage of CO2, and geological hazard assessment. Deep learning approaches, with their capabilities of feature extraction, mapping non-linear relationships, and handling high dimensional features, show great potential in seismic reservoir characterization. However, limited well logging data due to high drilling costs pose challenges for deep learning model training, particularly in frontier exploration and early development stage. Existing data augmentation methods often focus on increasing data quantity without effectively utilizing geological knowledge, potentially limiting their ability to capture the realistic complexity of data. To address this challenge, especially in sparse well regions, we propose a geostatistics-based pseudo-well construction methodology. By considering geologic stratification, the lithofacies are simulated using the Markov chain method, and the corresponding elastic features are simulated using sequential Gaussian simulation. This methodology enhances the reliability and accuracy of pseudo-well construction, with more geological consistency with the actual wells. Then, using the limited actual well data, we use transfer learning strategy to predict lithofacies from prestack data and seismic inversion via supervised convolutional neural network. We employ the proposed methodology in a coal-bearing clastic reservoir. Based on the blind well test, the strategy of combining pseudo-well data and transfer learning leads to a notable enhancement in the F1 score of sandstone from 57.45 % to 62.16 %, as well as an overall F1 score improvement from 52.92 % to 57.89 %. We apply this method to 2D seismic profiles (prestack data and inversion results), and the predicted spatial distribution of the lithofacies shows better agreement with the lithofacies in actual wells and more geological reasonableness.</div></div>","PeriodicalId":54882,"journal":{"name":"Journal of Applied Geophysics","volume":"242 ","pages":"Article 105891"},"PeriodicalIF":2.1,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144756826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Rock physics consideration of S-wave attenuation in methane hydrate bearing sediments at Nankai Trough, Japan: Possible attenuation mechanism of contact line friction","authors":"Zihan Niu ,&nbsp;Linsen Zhan ,&nbsp;Jun Matsushima","doi":"10.1016/j.jappgeo.2025.105889","DOIUrl":"10.1016/j.jappgeo.2025.105889","url":null,"abstract":"<div><div>Understanding S-wave attenuation in methane hydrate-bearing sediments (MHBS) is essential for accurate geophysical characterization and risk assessment in hydrate exploitation. Existing Biot-based rock physics models significantly underestimate observed S-wave attenuation values across seismic and sonic frequencies in the MHBS at the Nankai Trough, Japan. To address this discrepancy, we propose a novel rock physics model that incorporates dynamic contact line friction as a key attenuation mechanism. The model uses a representative element volume (REV) comprising an elliptical pore partially saturated by a droplet of methane hydrate. We simulate the deformation of the REV under cyclic shear stress and estimate the energy dissipation due to dynamic friction at the three-phase contact line. The numerical results indicate that the S-wave attenuation is highly sensitive to the pore aspect ratio and contact angle hysteresis. Under certain geometric and saturation conditions, contact line slip can occur even at low seismic stress levels, leading to frequency-independent attenuation. Our model successfully bridges the gap between theoretical predictions and field observations, offering a physically plausible mechanism for S-wave energy loss. The results suggest that incorporating contact line dynamics into rock physics models can enhance the interpretation of S-wave attenuation data and contribute to improved hydrate reservoir characterization.</div></div>","PeriodicalId":54882,"journal":{"name":"Journal of Applied Geophysics","volume":"242 ","pages":"Article 105889"},"PeriodicalIF":2.1,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144756827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comprehensive detection method and assessment of karst development characteristics of diversion aqueduct: A Case Study in Yunnan, China","authors":"Zhi-Qiang Li ,&nbsp;Haoxuan Yan ,&nbsp;Lichao Nie ,&nbsp;Andong Chen ,&nbsp;Duo Zhang ,&nbsp;Xingbang Sun","doi":"10.1016/j.jappgeo.2025.105888","DOIUrl":"10.1016/j.jappgeo.2025.105888","url":null,"abstract":"<div><div>Due to the complex karst geological structure, the construction of diversion aqueducts in karst formations poses deformation and stability challenges for the foundation. During the construction of the aqueduct in Jifu Village, Yunnan Province, a comprehensive detection method was employed to investigate the karst development in the area. This method integrates information obtained from various techniques, including geological analysis, Ground Penetrating Radar (GPR), and drilling. Geological analysis was used to identify potential karst development locations within the project area. GPR provided geophysical profiles revealing shallow karst features, and drilling was strategically placed along these profiles to verify and supplement the GPR data. This approach yielded more accurate information on karst development. The results demonstrate that the combination of geological analysis, geophysics, and drilling can effectively detect karst formations. The identified karst locations were consistent with the inferred underground karst zones from the investigation. Optimizing and refining this method can offer valuable reference and guidance for detecting karst areas in similar regions.</div></div>","PeriodicalId":54882,"journal":{"name":"Journal of Applied Geophysics","volume":"242 ","pages":"Article 105888"},"PeriodicalIF":2.2,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144713679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Electrical resistivity monitoring of CO2 injection at the Mont Terri underground laboratory, Switzerland","authors":"Andrea Balza-Morales ,&nbsp;Melchior Grab ,&nbsp;Antonio Pio Rinaldi ,&nbsp;Alba Zappone ,&nbsp;Hansruedi Maurer ,&nbsp;Florian M. Wagner","doi":"10.1016/j.jappgeo.2025.105852","DOIUrl":"10.1016/j.jappgeo.2025.105852","url":null,"abstract":"<div><div>Monitoring CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> injection in the subsurface using geophysical methods, particularly in caprocks or hard rock, presents unique challenges. These challenges arise due to the lower porosity and permeability in hard rock settings, which result in limited and complex pathways for fluid movement. The Mont Terri underground rock laboratory in Switzerland provides the opportunity to evaluate different geophysical measurements in boreholes to monitor a CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> injection near a known fault zone. The motivation of the experiment presented in this study, along with its continuation in the Carbon Sequestration series D and E (CS-D and CS-E) is to assess the integrity of a fault zone within a caprock-like formation (such as Opalinus Clay) during long-term leakage experiment. Time-lapse electrical resistivity tomography (ERT) measurements were conducted during the steady-state injection period. In this work we present an ERT study using synthetic data to predict the effects of both the conductive fault zone and the injected fluid mixture at a single time step, while also analyzing the temporal evolution of the synthetic study. The synthetic results show a similar apparent resistivity distribution to that observed in the field data. The analysis then progressed to real field data, where various electrode configurations were tested, requiring meticulous assessment of data quality during processing. This study highlights the importance of using appropriate error estimation techniques, such as a reciprocal error model, to characterize the spatial and temporal behavior of measurement errors across different configurations. Three-dimensional time-lapse inversion results play a crucial role in deciphering the fluid interaction between the injected CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span>, the properties of the host rock, and the presence of the main fault zone within the experiment. Our findings indicate that the fracture network within the host rock is intricate, exhibiting changes in resistivity during injection around the main fault zone. These insights not only complement other findings within the CS-D and CS-E experiments, but also showcase the utility of ERT measurements in CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> monitoring within other hard rock settings.</div></div>","PeriodicalId":54882,"journal":{"name":"Journal of Applied Geophysics","volume":"242 ","pages":"Article 105852"},"PeriodicalIF":2.1,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144766726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Heterogeneous oil reservoirs characterization using artificial intelligence techniques: Application to the Hassi Messaoud oil field in the Algerian-Saharan platform","authors":"Asma Kadri ,&nbsp;Mohammed Said Benzagouta","doi":"10.1016/j.jappgeo.2025.105878","DOIUrl":"10.1016/j.jappgeo.2025.105878","url":null,"abstract":"<div><div>This study explores the effectiveness of artificial intelligence (AI) techniques in characterizing heterogenous reservoirs, with a specific focus on the Hassi Messaoud oil field in southern Algeria, particularly its newly developed northern zone known for complex reservoir heterogeneity affecting oil extraction efficiency.</div><div>Three machine learning algorithms Support Vector Machine (SVM), Random Forest (RF), and Artificial Neural Networks (ANN) were applied to predict porosity from well log data. SVM outperformed RF and ANN, delivering the highest correlation coefficients (R²) and the lowest root mean squared errors (RMSE), thereby confirming its robustness in high-dimensional spaces and limited datasets. Beyond porosity prediction, this study addresses the critical task of permeability estimation, essential for optimizing reservoir development strategies. A Multi-Linear Regression (MLR) model was developed, achieving high predictive accuracy, particularly when lithological parameters such as clay content were incorporated. A key contribution of this work is the integration of SVM and MLR into a hybrid SVM–MLR model, which improved permeability prediction by leveraging the strengths of both methods: the nonlinear feature-handling capability of SVM and the interpretability of MLR. The SVM-generated correlation matrix facilitated the identification of dominant input features, enhancing the reliability of the permeability model.</div><div>The findings demonstrate that the integrated SVM–MLR approach provides a powerful and adaptable tool for reservoir characterization in heterogeneous environments. This AI-driven framework offers valuable support for data-informed decision-making, contributing to more efficient hydrocarbon recovery and improved reservoir management in geologically complex settings.</div></div>","PeriodicalId":54882,"journal":{"name":"Journal of Applied Geophysics","volume":"242 ","pages":"Article 105878"},"PeriodicalIF":2.1,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144750234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatiotemporal evolution patterns of mining-induced overburden damage based on microseismic event response analysis","authors":"Xiao Yang ,&nbsp;Longqing Shi ,&nbsp;Mei Qiu ,&nbsp;Jin Han ,&nbsp;Xingyue Qu ,&nbsp;Song Fu","doi":"10.1016/j.jappgeo.2025.105876","DOIUrl":"10.1016/j.jappgeo.2025.105876","url":null,"abstract":"<div><div>Jurassic coal mining in the Ordos Basin faces threats from overlying water-bearing sandstone layers of the Yijun and Luohe Formations, posing challenges for predicting the dynamic evolution prediction of spatial relationships between water-conducting fracture zones and aquifers. This study integrated rock beam theoretical models with microseismic monitoring data to analyze the spatiotemporal evolution of overburden fracture characteristics during longwall face retreat. Through mechanical model analysis of the overburden, we elucidated the stress-driving mechanism of individual rock beams in the mining direction (transverse), thereby establishing a longitudinal “four-zone” structural model of overburden fracture (Collapsed water-conducting zone, Rock-beam water-conducting zone, Damaged rock-beam weak-permeability zone, and Initial water-resisting zone), identifying the upper boundary of water-conducting fracture zone as the damaged rock-beam weak-permeability zone. Taking Longwall Face 1502 of Shaozhai Coal Mine as the research object, spatiotemporal analysis of microseismic data during production revealed that microseismic frequency time series exhibited a fluctuating decreasing trend and dynamically responded to rock beam fracture characteristics. Based on this, we applied singular spectrum analysis coupled with a distance-weighted energy algorithm to process microseismic data, identifying significant overburden fracture changes at 74, 197, 320, and 432 days of face advancement. By integrating coal measures depositional environments, microseismic event density, and stratigraphic columns, we dynamically determined the overburden fracture boundary and maximum development of the water-conducting fracture zone extended to the 37.46 m mudstone layer of the Anding Formation. Validation through water injection tests confirmed that the Yijun and Luohe Formations remained within the Initial water-resisting zone, undisturbed by mining activities. The ternary analysis method of “stress field driving → microseismic response → sedimentary constraint” proposed in this study reveals the dynamic correlation between mining-induced overburden fracture and microseismic responses, providing a theoretical foundation for effective water prevention and control measures.</div></div>","PeriodicalId":54882,"journal":{"name":"Journal of Applied Geophysics","volume":"242 ","pages":"Article 105876"},"PeriodicalIF":2.1,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144722190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrated petrophysical characterization of Late Cretaceous fluvial-deltaic channel systems in Penobscot Field, Nova Scotia: Implications for reservoir facies prediction","authors":"Satya Narayan ,&nbsp;Pradeep Kumar ,&nbsp;Soumyashree Debasis Sahoo ,&nbsp;Birendra Pratap ,&nbsp;Ahmed M. Eldosouky","doi":"10.1016/j.jappgeo.2025.105877","DOIUrl":"10.1016/j.jappgeo.2025.105877","url":null,"abstract":"<div><div>Globally, deltaic channels offer promising exploration prospects as potential hydrocarbon reservoirs. Sea-level changes in deltaic systems cause facies heterogeneity in and around channels, making precise reservoir characterization essential to reduce exploration risk. This study focuses on the petrophysical characterization of the deltaic channel system within the Logan Canyon Formation in the Penobscot Field. The workflow integrates structural mapping, reservoir feasibility assessment, spectral decomposition, model-based inversion (MBI), and multi-layer perceptron (MLP) modeling. Litho-facies, acoustic impedance, and petrophysical property relationships were quantified through well-log cross plots. Subsequently, impedance and petrophysical volumes were accurately predicted using MBI and MLP techniques. The results show an 84.7 % correlation with a synthetic error of ∼0.12 and impedance error of 414 m/s*g/cm³ for P-imp, and an 89.6 % correlation with an error of ∼0.026 for the Vsh, 95.5 % correlation with an error of ∼0.013 for Nphi, and 86.1 % correlation with an error of ∼0.017 for Phie estimations. Sand reservoir facies show moderate to higher P-imp (8000–10,500 m/s*g/cm³), lower Vsh (&lt;0.40 <em>v</em>/v), and lower Nphi (0.25–0.35 <em>v</em>/v), with higher Phie (0.12 to 0.30 <em>v</em>/v) signatures, whereas shale facies exhibit moderate to lower P-imp (6500–9000 m/s*g/cm³), higher Vsh (&gt;0.40 <em>v</em>/v), higher Nphi (&gt;0.30 v/v), and lower Phie (0.0 to 0.05 v/v) signatures. This facies differentiation highlights the spatial heterogeneity within the deltaic system and delineates the reservoir zones within complex channel architectures. Integration of P-imp, Nphi, Vsh, and Phie provides a robust geological model that enhances the understanding of facies dispersal pattern and reservoir potential, and identifies sweet spots for future hydrocarbon exploration within the Late Cretaceous channel system of the Penobscot Field, Nova Scotia.</div></div>","PeriodicalId":54882,"journal":{"name":"Journal of Applied Geophysics","volume":"242 ","pages":"Article 105877"},"PeriodicalIF":2.1,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144738430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Imaging near surface formation using TEM and ERT methods: A case study from the western coast of India","authors":"Bhima Raju Kattula ,&nbsp;Subash Chandra","doi":"10.1016/j.jappgeo.2025.105875","DOIUrl":"10.1016/j.jappgeo.2025.105875","url":null,"abstract":"<div><div>The paper presents comparative performance of airborne electromagnetic (EM), ground-based EM and electrical resistivity tomography (ERT) methods for characterization of near-surface hydrogeological units of the Western coast of India. The electromagnetic data was acquired in time domain mode employing dual (low and high) moments technology, while the ERT data was obtained using multi-gradient arrays with 10 m electrode spacing. The early time gates of low moment (LM) data provide near-surface geological knowledge, whereas late time gate measurements of high moment (HM) data provide deeper information. Early time gate measurements of LM data corrected by primary field and system response help in utilizing a very early time gate starting from ∼4 μs that enhances near surface resolution. Formation resistivity derived from LM airborne transient electromagnetic (aTEM) data has been compared with ground-based transient electromagnetic (gTEM) and ERT data for resolving very near-surface features, especially the upper few meters, including soil. The study revealed that the performance of aTEM with system response corrections and on-time modelling is effective in comparison to gTEM, and consistent with those results from ERT of 10 m unit electrode spacing in resolving near-surface features. Thus, aTEM survey can contribute to hydrogeological applications dealing with shallow processes such as infiltration, and aquifer recharge studies.</div></div>","PeriodicalId":54882,"journal":{"name":"Journal of Applied Geophysics","volume":"242 ","pages":"Article 105875"},"PeriodicalIF":2.2,"publicationDate":"2025-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144704078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}