Acta GeophysicaPub Date : 2025-01-16DOI: 10.1007/s11600-024-01526-w
Mahdi Sedighkia, Zahra Moradian, Bithin Datta
{"title":"Hybridizing evolutionary algorithms and multiple non-linear regression technique for stream temperature modeling","authors":"Mahdi Sedighkia, Zahra Moradian, Bithin Datta","doi":"10.1007/s11600-024-01526-w","DOIUrl":"10.1007/s11600-024-01526-w","url":null,"abstract":"<div><p>The present study hybridizes the new-generation evolutionary algorithms and the nonlinear regression technique for stream temperature modeling and compares this approach with conventional gray and black box approaches under natural flow conditions, providing a comprehensive assessment. The nonlinear equation for water temperature modeling was optimized using biogeography-based optimization (BBO) and invasive weed optimization (IWO), simulated annealing algorithm (SA) and particle swarm optimization (PSO). Two black box approaches, a feedforward neural network (FNN) and a long short-term memory (LSTM) network, were also employed for comparison. Additionally, an adaptive neuro-fuzzy inference system (ANFIS) served as a gray box model for river thermal regimes. The models were evaluated based on accuracy, complexity, generality and interpretability. Performance metrics, such as the Nash–Sutcliffe efficiency (NSE), showed that the LSTM model achieved the highest accuracy (NSE = 0.96) but required significant computational resources. In contrast, evolutionary algorithm-based models offered acceptable performance while reducing the computational complexities of LSTM, with all models achieving NSE values above 0.5. Considering interpretability, accuracy and complexity, evolutionary-based nonlinear models are recommended for general applications, such as assessing thermal river habitats. For tasks requiring very high accuracy, the LSTM model is preferred, while ANFIS provides a balanced trade-off between accuracy and interpretability, making it suitable for engineers and ecologists. While all models demonstrate similar generality, this model is developed for a specific location. For other locations, independent models with a similar architecture would need to be developed. Ultimately, the choice of model depends on specific objectives and available resources.</p></div>","PeriodicalId":6988,"journal":{"name":"Acta Geophysica","volume":"73 3","pages":"2863 - 2878"},"PeriodicalIF":2.3,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s11600-024-01526-w.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143879613","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":"Development of a robot for in situ detection of loess geological information based on machine vision","authors":"Bolong Li, Hongbing Zhang, He Zhang, Yaozhong Zhang, Hengxing Lan, Changgen Yan, Xin Liu, Yunchuang Li, Zhonghong Dong","doi":"10.1007/s11600-024-01497-y","DOIUrl":"10.1007/s11600-024-01497-y","url":null,"abstract":"<div><p>The spatial and temporal distribution of loess geological information and its variations under external disturbances can transparentize and digitize the entire process of the genesis, development, and triggering of geological hazards. However, the lack of reliable detection equipment poses a technical bottleneck to this work. To address this, a specialized detection robot has been developed for exploring the intricate structural defects within 150-mm-diameter geological exploration boreholes, as well as for adapting to optical environments and geological features. Accompanied by an optical environment adaptive control algorithm and equipped with a high-precision industrial camera, the robot captures images of the loess geological information at any position within the borehole. This facilitates intelligent image recognition and provides the necessary conditions for obtaining geological information such as moisture content, porosity and fractures, and interfaces. Indoor and outdoor experimental results demonstrate that these robots have a load capacity exceeding 60 kg, facilitating the integration of other detection instruments. Moreover, within complex loess detection boreholes characterized by localized collapse, collapse, debris, and diameter reduction, the robots not only exhibit stable locomotion with a walking speed of up to 13.18 m/h but also maintain a stable distance of 65 ± 0.1 mm between the industrial camera and the collected images of the borehole wall, within the camera’s depth of field, ensuring stable image brightness and guaranteeing the quality of the captured images. The robots developed in this study provide new technical means and platforms for in situ detection of loess geological information.</p></div>","PeriodicalId":6988,"journal":{"name":"Acta Geophysica","volume":"73 3","pages":"2523 - 2549"},"PeriodicalIF":2.3,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143879664","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}
Acta GeophysicaPub Date : 2025-01-09DOI: 10.1007/s11600-024-01522-0
Farhang Rahmani
{"title":"Unveiling climate complexity: a multifractal approach to drought, temperature, and precipitation analysis","authors":"Farhang Rahmani","doi":"10.1007/s11600-024-01522-0","DOIUrl":"10.1007/s11600-024-01522-0","url":null,"abstract":"<div><p>Multifractal analysis has become a crucial methodology for understanding terrestrial phenomena, offering unique insights into chaotic systems with multi-scale variability. Originally from statistical physics, this approach is valuable for studying geophysical events such as droughts, temperature fluctuations, and rainfall impacts on water resources. Multifractals effectively characterize the scaling behaviors necessary to analyze irregular and nonlinear dynamics in these processes. This paper highlights prominent multifractal techniques, including Multifractal Detrended Fluctuation Analysis (MF-DFA), Generalized Structure Functions (GSF), Multifractal Height Cross-Correlation Analysis (MF-HXA), Multifractal Detrended Cross-Correlation Analysis (MF-DCCA), Multifractal Detrending Moving-Average Cross-Correlation Analysis (MFXDMA), Multifractal Cross-Correlation Analysis Based on Statistical Moments (MFSMXA), Multifractal Inverse Distance Weighting (MIDW), and wavelet-based methods (WBM). These approaches capture both minor and major fluctuations within geophysical data, providing a more nuanced representation than conventional statistical methods. By transcending traditional statistics, multifractal analysis enhances predictive modeling for extreme weather events, like prolonged droughts and unusual precipitation patterns, anticipated to increase in frequency and intensity with climate change. This article reviews multifractal methodologies, their contributions to climate science, and potential future research directions, focusing on drought, temperature, and precipitation. Additionally, it bridges complex theoretical frameworks with practical applications, underscoring the significance of multifractal models in advancing climate research.</p></div>","PeriodicalId":6988,"journal":{"name":"Acta Geophysica","volume":"73 3","pages":"3007 - 3024"},"PeriodicalIF":2.3,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143879663","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}
Acta GeophysicaPub Date : 2025-01-09DOI: 10.1007/s11600-024-01504-2
Ali Elmas
{"title":"Integrating gravity data to enhance understanding of northern Türkiye’s geodynamic evolution","authors":"Ali Elmas","doi":"10.1007/s11600-024-01504-2","DOIUrl":"10.1007/s11600-024-01504-2","url":null,"abstract":"<div><p>The objective of this study is to contribute to debates on the geodynamic evolution of the Eastern Pontides with geophysical data. No consensus has been reached about subduction polarity in these disputes. So, it is planned to contribute to the subduction polarity debates in geodynamic evolution models by determining the crust and lithosphere structure of the region. Therefore, power spectral analysis, total horizontal derivative, Parker-Oldenburg inversion and isostatic analysis methods have been applied to the satellite gravity data of the studied region. To determine the subduction direction of the oceanic crust, an area has been selected along the Black Sea basin—Anatolia plate. The subduction of the crust has been observed at depths of 30 to 89 km. As a result of this study, it was finalized that the subduction direction of the oceanic crust in the study area is southward.</p></div>","PeriodicalId":6988,"journal":{"name":"Acta Geophysica","volume":"73 3","pages":"2229 - 2243"},"PeriodicalIF":2.3,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143879662","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}
Acta GeophysicaPub Date : 2025-01-08DOI: 10.1007/s11600-024-01507-z
Chao Wang, Hualiang Chen, Kai Zhan, Chao Kong, Guangming Li
{"title":"Fourier-ResPINN: a new solution for solving the travel time of first arrival","authors":"Chao Wang, Hualiang Chen, Kai Zhan, Chao Kong, Guangming Li","doi":"10.1007/s11600-024-01507-z","DOIUrl":"10.1007/s11600-024-01507-z","url":null,"abstract":"<div><p>The accuracy and efficiency of the travel time calculation of seismic wave first arrivals have a profound impact on the performance of seismic data processing techniques. Traditional methods of calculating travel times based on the eikonal equation are accurate, but time-consuming when dealing with large models. Thus, we propose a Fourier-ResPINN model for travel time calculation in order to balance the accuracy and efficiency of such calculation and to improve the network degradation and spectral bias of the vanilla physics-informed neural network (PINN). We use the residual connections instead of the fully connected neural network of PINN and performs Fourier mapping operations on the inputs to the network, to solve the factored eikonal equation. Our numerical experimental results show that Fourier-ResPINN improves the accuracy by about an order of magnitude over ordinary PINN, and is more computationally efficient for complex models than the traditional fast scan method.</p></div>","PeriodicalId":6988,"journal":{"name":"Acta Geophysica","volume":"73 3","pages":"2509 - 2522"},"PeriodicalIF":2.3,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143879646","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 improved layer-by-layer interpolation cutting algorithm in gravity anomaly separation","authors":"Xiao Liang, Fei Chu, Rugang Xu, Hongbo Sun, Weipeng Xiao","doi":"10.1007/s11600-024-01517-x","DOIUrl":"10.1007/s11600-024-01517-x","url":null,"abstract":"<div><p>Based on the original technique of stratifying and separating potential fields, this paper introduces an improved interpolation cutting algorithm based on inverse distance weighting technology. The algorithm allows for the layer-by-layer separation of potential fields. The effectiveness of the improved algorithm in separating potential fields is demonstrated through the separation of potential fields, analysis of anti-noise performance, and depth analysis of the gravity anomaly field obtained from an ideal model. In comparison to the Bouguer gravity anomaly distribution map, the local gravity anomaly field at different depths is able to effectively suppress the influence of the regional background field, and providing a clearer representation of the structural characteristics at specific depths. The improved interpolation cutting algorithm is applied to separate the potential field of the Bouguer gravity anomaly in the southern section of the Tan-Lu fault zone and the surrounding area. The research findings indicate that the distribution pattern of local gravity anomaly in the study area has a stronger correlation with the strike of faults compared to the Bouguer gravity anomaly. Additionally, the density of the shallow crust in the study area is relatively homogeneous, while the density of the middle and lower crust is less homogeneous. The southern segment of the Tan-Lu fault zone exhibits distinct segmentation characteristics, as it is intersected by the Huai Y–Xiang SK fault. Furthermore, the cutting depth in the southern part of the fault is deeper.</p></div>","PeriodicalId":6988,"journal":{"name":"Acta Geophysica","volume":"73 3","pages":"2495 - 2507"},"PeriodicalIF":2.3,"publicationDate":"2025-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143879621","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}
Acta GeophysicaPub Date : 2025-01-04DOI: 10.1007/s11600-024-01512-2
Gökçen Bombar, António Heleno Cardoso
{"title":"Experimental investigation of the evolution of bed topography in an asymmetrical confluence","authors":"Gökçen Bombar, António Heleno Cardoso","doi":"10.1007/s11600-024-01512-2","DOIUrl":"10.1007/s11600-024-01512-2","url":null,"abstract":"<div><p>This study assessed the time evolution of the bed morphology of six experiments performed by Bombar and Cardoso (Geomorphology 367:107329, 2020. https://doi.org/10.1016/j.geomorph.2020.107329) on mobile-bed confluences. These experiments were characterized by a unique junction angle, a fixed plan layout of the converging channels, constant water discharges and water discharge ratio, and six combinations of the converging sediment transport rates. The end aspect ratio of both channels was sufficiently large to avoid strong wall effects, and the flow was always subcritical and rough turbulent. The bed sediment was a uniform non-ripple forming sand. Detail analysis of the time evolution of the bed morphology showed that balanced fluxes of sediments through the boundaries of the system were a sufficient condition of equilibrium within the range of variables covered by the study. The most important morphological features of the confluence were discussed for several time instants, including those referring to the equilibrium phase. The equilibrium features essentially complied with the morpho-dynamic models reported in the literature for mobile-bed confluences, meaning that the time evolution and the end (equilibrium) values of the bed morphologies reported in this paper can be used to validate CFD models thought of as predictive tools of confluence morpho-dynamics. Two experiments are, indeed, ideal for this purpose since they converged to static equilibria, and wrong predictions cannot be attributed to oscillations of the bed, whereas those models may only be able to predict the average, equilibrium values of the bed features of experiments run with sediment supply into the main channel and characterized by the movement of bed forms.</p></div>","PeriodicalId":6988,"journal":{"name":"Acta Geophysica","volume":"73 3","pages":"2851 - 2861"},"PeriodicalIF":2.3,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143879604","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}
Acta GeophysicaPub Date : 2025-01-03DOI: 10.1007/s11600-024-01511-3
Zhengtao You, Zhiqiang Huang, Lei Hao, Gang Li, Mingwei Fu, Ruohao Wang, Jun Shuai
{"title":"Study on excitation effect of different combination modes of shear wave vibroseis","authors":"Zhengtao You, Zhiqiang Huang, Lei Hao, Gang Li, Mingwei Fu, Ruohao Wang, Jun Shuai","doi":"10.1007/s11600-024-01511-3","DOIUrl":"10.1007/s11600-024-01511-3","url":null,"abstract":"<div><p>In order to solve the problems of less earth capture energy and shallow depth of shear wave signal transmission during the operation of shear wave vibroseis, and improve the exploration quality, the influence of different combination methods on excitation effect is studied. Through numerical simulation, the vibrator-simulated finite element model of combined shear wave vibroseis is established. Taking the earth capture energy, particle displacement amplitude and shear stress as evaluation indexes, the influence of three parameters, namely arrangement mode, spacing and number, on the combined excitation effect of shear wave vibroseis is deeply studied. The results show that, in terms of arrangement, compared with two SHY arrangements, two SHX vibroseis capture more energy in the earth when excited, and the particle displacement amplitude increases by 82.8% on average compared with a single vibroseis, and the sine wave shape of the shear stress curve is more complete, and the attenuation degree is smaller with the increase of depth; in terms of vibroseis spacing, compared with the combined vibroseis with the spacing of 3 m, 9 m and 12 m, the combined vibroseis with the spacing of 6 m has more ground capture energy, the particle displacement amplitude is increased by 62.5% on average compared with the single vibroseis, the shear stress distortion is smaller, and the attenuation is slower with the increase of depth. In terms of vibroseis number, compared with 4, 6 and 8 combined vibroseis, the loss rate of earth capture energy is the lowest when the 2 combined vibroseis excite, which is only 6.06% compared with the single vibroseis, and the particle displacement amplitude is increased by 56.5% on average compared with the single vibroseis, and the shear stress amplitude is larger. The research results can provide guidance for improving the excitation effect of shear wave vibroseis, and also provide reference for the study of combined excitation design of shear wave vibroseis.</p></div>","PeriodicalId":6988,"journal":{"name":"Acta Geophysica","volume":"73 3","pages":"2461 - 2476"},"PeriodicalIF":2.3,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143879575","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}
Acta GeophysicaPub Date : 2025-01-03DOI: 10.1007/s11600-024-01500-6
Duo Li, Peng Jiang, Senlin Yang, Fengkai Zhang
{"title":"Multi-task deep learning for multi-parameter elastic inversion","authors":"Duo Li, Peng Jiang, Senlin Yang, Fengkai Zhang","doi":"10.1007/s11600-024-01500-6","DOIUrl":"10.1007/s11600-024-01500-6","url":null,"abstract":"<div><p>Elastic waveform inversion plays a vital role in estimating the Earth’s subsurface property. The inversion of multiple elastic parameters from observation data has been regarded as challenging due to its severe non-linearity and ill-posed nature. Deep learning approaches have recently demonstrated incredible potential in simulating non-linear mapping and made remarkable achievements in geophysical inversion. In this work, we consider multi-parameter elastic inversion as a multi-task learning problem and propose to accomplish the three tasks by a deep neural network with sequential structure, which we name ElasInvNet. Specifically, we reconstruct the three elastic parameters, P-velocity, S-velocity, and density, one after the other, and use the features from the former task as the prior information to assist the subsequent tasks’ reconstruction. We verified the effectiveness of the proposed ElasInvNet through comprehensive comparisons and ablation studies.</p></div>","PeriodicalId":6988,"journal":{"name":"Acta Geophysica","volume":"73 3","pages":"2443 - 2460"},"PeriodicalIF":2.3,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143879570","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}
Acta GeophysicaPub Date : 2025-01-03DOI: 10.1007/s11600-024-01518-w
Xulin Wang, Minghui Lv
{"title":"Efficient seismic noise suppression for microseismic data using an adaptive TMSST approach","authors":"Xulin Wang, Minghui Lv","doi":"10.1007/s11600-024-01518-w","DOIUrl":"10.1007/s11600-024-01518-w","url":null,"abstract":"<div><p>Hydraulic fracturing is an effective reservoir stimulation technique. Microseismic monitoring technology can effectively obtain information from within the reservoir. In this process, the effective extraction of microseismic data is crucial, but monitoring data is often interfered with by various noises, thus necessitating noise suppression processing. Currently, commonly used noise suppression methods mainly target random noise and often overlook the possibility of impulse noise in microseismic data. To address this issue, this paper proposes a method that combines periodic noise suppression with time-reassigned multisynchrosqueezing transform (TMSST). The method first highlights impulse noise by suppressing periodic noise and then adaptively determines the optimal parameters of the TMSST algorithm through stability judgment and peak value searching. In simulation and experimental tests, the proposed method was compared with the traditional ensemble empirical mode decomposition (EEMD) method. The results show that in an environment with strong background noise, the proposed algorithm performs excellently in suppressing strong impulse noise in hydraulic fracturing microseismic data.</p></div>","PeriodicalId":6988,"journal":{"name":"Acta Geophysica","volume":"73 3","pages":"2477 - 2494"},"PeriodicalIF":2.3,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143879576","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}