Acta Geophysica最新文献

{"title":"3D Euler deconvolution of irregularly spaced magnetic data on an uneven topographic surface","authors":"IlHyok Kim,&nbsp;GangSop Kim,&nbsp;SongChol Kim,&nbsp;OkChol Sin","doi":"10.1007/s11600-024-01494-1","DOIUrl":"10.1007/s11600-024-01494-1","url":null,"abstract":"<div><p>Euler deconvolution has been widely utilized to recover geometry of magnetic bodies in mineral exploration and interpretation of geological structure. However, most of Euler deconvolution techniques require rectangular grid of magnetic data given on a planar surface. We propose a new Euler deconvolution scheme of irregularly spaced magnetic data on an uneven topographic surface. The scheme first inverts the given irregular magnetic data to obtain the subsurface equivalent sources, from which horizontal and vertical derivatives are calculated directly on the given data points. Then, we minimize the so-called homogeneity scaling function to simultaneously estimate the structural index (SI) and the window radius. The depth and position of a magnetic body are calculated based on the estimated structural index and the window radius. We validated the proposed method via synthetic and field datasets. The method gives the correct structural index and location even under moderate Gaussian noise, which demonstrated its accuracy and noise resistance.</p></div>","PeriodicalId":6988,"journal":{"name":"Acta Geophysica","volume":"73 4","pages":"3213 - 3241"},"PeriodicalIF":2.1,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145144019","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":"Inversion of Rayleigh wave dispersion curves integrating the Osprey–Cauchy and Pigeon-inspired optimization algorithm","authors":"Shuai Liu,&nbsp;Hongyan Shen,&nbsp;Han Che,&nbsp;Bohua Wang,&nbsp;Chi Wang,&nbsp;Chengwei Zhang,&nbsp;Guangzhou Shao,&nbsp;Shisheng Feng,&nbsp;Hao Wang,&nbsp;Kanglong Wang","doi":"10.1007/s11600-025-01553-1","DOIUrl":"10.1007/s11600-025-01553-1","url":null,"abstract":"<div><p>Dispersion curve inversion is a key step in Rayleigh wave data processing, which can effectively obtain underground S-wave velocities. However, the inversion of dispersion curves has characteristics such as multi-parameter, multi-extremum, and nonlinearity, which leads to the complexity and uncertainty of the inversion process. Traditional nonlinear algorithms often suffer from complex algorithm structures and poor balance between global and local search on the basis of the classical Pigeon-inspired optimization (PIO) algorithm, the Osprey optimization algorithm (OOA), and the Cauchy mutation strategy intergraded to develop an improved Pigeon-inspired optimization (Osprey–Cauchy and Pigeon-inspired optimization, OCPIO) algorithm for Rayleigh wave dispersion curve inversion. OCPIO combines the balance mechanism and dynamic adjustment capability of OOA, as well as the ability of Cauchy mutation to escape from local optima, significantly enhancing the algorithm’s global and local search capabilities, and effectively avoid the probability of inversion falling into local optima. Additionally, we also utilized logistic chaotic mapping to enhance the randomness of the initial population. The effectiveness of our method was verified through the inversion of Rayleigh wave dispersion curves using two geological models and further applied to a real seismic dataset processing. The research results indicate that our algorithm has strong balanced search ability, effectively avoiding the situation of inversion falling into local optimal solutions, while significantly improving the accuracy and stability of inversion.</p></div>","PeriodicalId":6988,"journal":{"name":"Acta Geophysica","volume":"73 4","pages":"3195 - 3212"},"PeriodicalIF":2.1,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145143537","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":"Mapping sediment depths using seismic arrays, rotational measurements, and spectral ratios","authors":"Claudia Finger,&nbsp;Sabrina Keil,&nbsp;Aileen Gotowik,&nbsp;Alexander Jüstel,&nbsp;Andreas Brotzer","doi":"10.1007/s11600-025-01552-2","DOIUrl":"10.1007/s11600-025-01552-2","url":null,"abstract":"<div><p>Unconsolidated sediments can amplify ground motions, increasing seismic hazard. Horizontal-to-vertical spectral ratios can derive the thickness of sediments overlaying stiffer bedrock. However, additional information about shear velocities and calibration with other structural information is necessary. Here, we propose a strictly ambient seismic noise-based workflow that can map the depth of sediments without additional information from other data sources. Rayleigh wave dispersion curves and ellipticities are derived from three-component beamforming of ambient noise and combined with dispersion curves from six-component measurements and horizontal-to-vertical spectral ratios. This is used to calibrate empirical relations between frequencies of extreme points in spectral ratio curves with depths of sediments. Applying the relations to more than forty seismic station data, we can map the depth of the Tertiary sediments at the southern margin of the lower Rhine embayment, Germany.</p></div>","PeriodicalId":6988,"journal":{"name":"Acta Geophysica","volume":"73 3","pages":"2657 - 2667"},"PeriodicalIF":2.3,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s11600-025-01552-2.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143879673","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":"Daily prediction of Urmia Lake water level using remote sensing data and honey badger optimization-based data-driven models","authors":"Mohsen Saroughi,&nbsp;Okan Mert Katipoğlu,&nbsp;Gaye Aktürk,&nbsp;Enes Gul,&nbsp;Oguz Simsek,&nbsp;Hatice Citakoglu","doi":"10.1007/s11600-024-01520-2","DOIUrl":"10.1007/s11600-024-01520-2","url":null,"abstract":"<div><p>Artificial neural networks (ANNs), support vector regression (SVR) and CatBoost regression (CBR) machine learning methods have been combined with the honey badger optimization algorithm (HBA) and metaheuristic optimization algorithm to accurately and reliably predict lake water level (LWL), which is of great importance for the management and planning of water resources. In this study, meteorological and hydrological parameters, including temperature (T), precipitation (P), date (D), surface soil moisture (SSW), root zone moisture (RZW) and water level (WL), were employed as input data for predicting the LWL of Urmia Lake. The input data were employed to develop six different prediction scenarios. This study not only examined the impact of meteorological and hydrological parameters on LWL prediction but also compared the performance of individual models and hybrid models. The Akaike information criterion (AIC) index was used to ascertain the optimal machine learning model and to evaluate the six prediction scenarios. The results of the study indicate that, according to the AIC index, the data regarding the water level (WL) were significant in the prediction models. However, it should be noted that satisfactory results could also be obtained without using the WL data in certain scenarios. In scenario 4 (input data: D, T, P, SSW, RZW), where the WL variable was not included, the HBA-CBR hybrid model was the best model with the lowest AIC value (Train: -63,735, Test:-4693). In prediction scenario 6 (input data: D, T, P, SSW, RZW, WL), which included the WL data, the HBA-SVR hybrid model demonstrated high performance with the lowest AIC value (Train: -102,358, Test:-27,233). Accordingly, it was recommended to use lagged WL values as input in WL prediction because the prediction accuracy of the models significantly improved. Furthermore, hybrid models were found to perform better than individual models due to their more consistent results.</p></div>","PeriodicalId":6988,"journal":{"name":"Acta Geophysica","volume":"73 3","pages":"2909 - 2933"},"PeriodicalIF":2.3,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143879645","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":"Addressing high-pressure fault rupture limitations in PFC3D: a dynamic weakening approach","authors":"Sheng Hua Ye,&nbsp;Semechah K. Y. Lui,&nbsp;R. Paul Young","doi":"10.1007/s11600-025-01540-6","DOIUrl":"10.1007/s11600-025-01540-6","url":null,"abstract":"<div><p>Discrete element method (DEM) codes were developed in the field of rock mechanics. Compared to continuum codes, it has many advantages, such as allowing larger grain displacements, detachment of grains, and simulation of discrete fractures. DEM has long been used to model dynamic instability on faults. However, the disadvantage of DEM codes in the simulation of higher confining pressure triaxial tests has not been discussed previously. This work aims to investigate these shortcomings and provide workable solutions for an existing numerical framework to reproduce realistic fault rupture behaviors. Our study primarily comprises of two parts. In part one, we explored how the non-Dirac delta distribution of contact forces controls the fault rupture initiation and its impact on fault rupture propagation under high confining pressure. To resolve the discrepancies between the experiments and the simulations in standard PFC3D code, a novel local dynamic weakening model was proposed, motivated by the cohesion zone model from fracture mechanics and the cohesion loss model from rock mechanics in part two. The dynamic weakening model is incorporated into the smooth-joint (SJ) contact model and is tested with simulations of experiments conducted under high confining pressures. It successfully reproduces realistic fault rupture behaviors, and the synthetic acoustic emission (AE) characteristics including magnitude–frequency relationships and fractal dimensions match those in the experiment. This study illustrates that cohesion loss within granular materials and the softening around rupture tips are quintessential mechanisms that promote fault rupture.</p></div>","PeriodicalId":6988,"journal":{"name":"Acta Geophysica","volume":"73 4","pages":"3081 - 3099"},"PeriodicalIF":2.1,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145142772","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":"Estimation of 3D Moho topography and vertical tectonic stress in the eastern Himalayan syntaxis using gravity data","authors":"Amritansh Rai,&nbsp;Vikash C. Patel,&nbsp;Anand Singh,&nbsp;G. P. Singh","doi":"10.1007/s11600-025-01542-4","DOIUrl":"10.1007/s11600-025-01542-4","url":null,"abstract":"<div><p>Eastern Himalayan Syntaxis (EHS) holds the unique significance and one of the least studied regions in the eastern Himalaya. In this study, Moho topographic undulation map of the study region and the vertical tectonic stress caused by isostatic adjustment are obtained by using the Bouguer gravity anomaly (BGA), topographic and isostatic anomaly data from the WGM2012 model. The source depth and cutoff wavenumber estimated from spectral analysis are found to be ≈ 46 km and 0.012 km⁻¹, respectively. The BGA is then filtered using a low-pass filter with 83 km wavelength to obtain the regional anomaly corresponding to Moho topography. The resulting regional anomaly map is inverted using the Parker–Oldenberg method to obtain a gravity Moho. The gravity Moho is found to be varied from 36 to 56 km. The isostatic Moho depth is computed using the Airy model. The resulting gravity Moho is in good agreement with previous seismological studies in the region. Using the resulting gravity and isostatic Moho, an isostatic compensation map is derived, which shows all three states of isostatic compensation in the region. The state of isostatic compensation obtained in our study corroborates well with the isostatic anomaly map. In addition, we estimated the vertical tectonic stress caused by lithospheric load in the study region. In the Southern Tibet detachment, Namcha Barwa Antiform (NBA), and Lohit plutonic complex (LPC), the vertical stress is negative and reaches the maximum value of 80 MPa. The central zone of the study region (EHS) features tensional and compressional stresses that vary from − 20 to 20 MPa. In the southern EHS, the Assam valley shows a significant increase in vertical compressional stress. In the Assam valley, the compressional vertical stress varies up to 60 MPa. Due to under-compensation, the mountains in the NBA and LPC subside downward, causing tensional negative stress, while the Assam valley has the highest compressional stress due to topographic uplift, which accounts for the surface mass lost during fluvial erosion.</p></div>","PeriodicalId":6988,"journal":{"name":"Acta Geophysica","volume":"73 4","pages":"3101 - 3121"},"PeriodicalIF":2.1,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145142773","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":"Evaluating variogram models and kriging approaches for analyzing spatial trends in precipitation simulations from global climate models","authors":"Aamina Batool,&nbsp;Sufian Ahmad,&nbsp;Ayesha Waseem,&nbsp;Veysi Kartal,&nbsp;Zulfiqar Ali,&nbsp;Muhammad Mohsin","doi":"10.1007/s11600-025-01545-1","DOIUrl":"10.1007/s11600-025-01545-1","url":null,"abstract":"<div><p>Climate change has heightened the irregularity and unpredictability of weather patterns, influencing precipitation patterns. Accurate geographical projections of precipitation and other climatic variables are critical to sustainable water resource management and disaster preparedness. Variogram models are geostatistical techniques used to examine spatial correlation. Therefore, selecting the optimum variogram model for spatial interpolation is challenging. This study used six variogram models to assess spatial trends. Leave-one-out cross-validation (LOOCV) and K-fold cross-validation approaches are used to find the best variogram model based on metrics such as mean absolute error (MAE), root mean square error (RMSE), and mean bias. In this study, correlation data of 22 GCMs within observed data are predicted over 94 locations in Pakistan from 1950 to 2014. For evaluation, ordinary kriging (OK) and universal kriging (UK) are utilized as geostatistical approaches. The study highlights the suitability of the variogram models. Pentaspherical variogram (Pen) model is suggested as suitable model due to its minimum error metrics as well as the Hol effect (Hol) model has been considered beneficial for dealing with complicated data. From the geostatistical approaches, ordinary kriging (OK) yields the best prediction. Moreover, ordinary kriging (OK) and universal kriging (UK) both yield similar outcomes across some correlation-based data of 22 GCMs within observed data. Consequently, the implication of correlation analysis, optimum variogram models, and interpolation techniques enables the precise and accurate approach in the prediction of GCM performance. The efficiency of variogram models and interpolation approaches in managing data variability helps to enhance the consistency and interpretability of climate data.</p></div>","PeriodicalId":6988,"journal":{"name":"Acta Geophysica","volume":"73 4","pages":"3677 - 3697"},"PeriodicalIF":2.1,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145142590","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":"The effect of geomorphic and anthropogenic factors on the karst spring occurrence (case studies of central Zagros Mountain Range, Iran)","authors":"Mehrnoosh Ghadimi,&nbsp;Samaneh Esmaili,&nbsp;Seiyed Mossa Hosseini,&nbsp;Mohammadali Kiani","doi":"10.1007/s11600-025-01543-3","DOIUrl":"10.1007/s11600-025-01543-3","url":null,"abstract":"<div><p>Karst groundwaters are vulnerable and essential resources that require comprehensive management for protection and preservation. For this purpose, awareness of effective factors (water quality, low pollution vulnerability, steady temperature, low susceptibility to environmental disaster and climate change) are required for the development of karst water resources and their quality management. Identifying the spatial distribution of springs in karst settings is important for a better understanding of groundwater flow because springs are the terminal sites of karst flow networks which are often understudied. This study aims to identify the location of karst spring occurrence with an emphasis on geomorphic factors using the Analytical Hierarchy Process (AHP) and Logistic Regression (LR) model. As the case studies in this research, the Lordegan and Shahrekord karst basins located in Iran’s Zagros Mountains were selected. Nine factors influencing spring occurrence are considered and classified into four major groups: geological layer (lithology and distance from fault), hydrology layer (distance from river and drainage density), geomorphological layer (slope, aspect, elevation, and plan curvature), and anthropogenic layer (land use/land cover). The occurrence map of karst groundwater spring weighed by AHP was classified into five classes (very low, low, moderate, high, and very high) and both basins were in very high to moderate class. The geological layer (i.e., lithology and distance from faults) was the most significant geomorphological factor in the Lordegan basin, with the weight of 56.3%, whereas the topographical layer (i.e., slope, aspect, elevation, and curvature) was in the Shahrekord basin, with the weight of 38.4%. Due to the high-altitude of the studied basins (1944–3297 m), the land use/land cover layer had the lowest weight.</p></div>","PeriodicalId":6988,"journal":{"name":"Acta Geophysica","volume":"73 2","pages":"1627 - 1641"},"PeriodicalIF":2.3,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143602317","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":"Identification of anthropogenic activities interference in the seismic catalog for Banat and Danubian region, Romania","authors":"Adina Rău,&nbsp;Raluca Dinescu,&nbsp;Mihaela Popa,&nbsp;Mircea Radulian,&nbsp;Mihail Lungu","doi":"10.1007/s11600-025-01531-7","DOIUrl":"10.1007/s11600-025-01531-7","url":null,"abstract":"<div><p>Banat and Danubian regions are among the most active zones in terms of crustal seismicity in Romania. Even though active seismic monitoring started in the early 20th century, the data sets got more performant with the development and expansion of seismic network monitoring in the late 1970’s. One particularity regarding seismic data acquisition is that in many cases anthropogenic activity, such as mining and quarry exploitation, interferes with natural seismicity. We aim to bring forward a series of data extracted from the ROMPLUS catalog to identify anthropogenic interference. To this aim, we propose a procedure based on multiple discrimination criteria, such as local time of event occurrence, magnitude, location concerning the nearest exploitation site, depth, and P wave input analysis (polarity and waveform). Identifying and filtering the anthropogenic events from the catalog will result in better imaging and characterizing of the natural seismic phenomenon in Banat and Danubian zones, improving the regional seismic hazard assessment this way.</p></div>","PeriodicalId":6988,"journal":{"name":"Acta Geophysica","volume":"73 4","pages":"3061 - 3080"},"PeriodicalIF":2.1,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s11600-025-01531-7.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145142555","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":"Earthquake recurrence characteristics and earthquake occurrence probabilities in the Anninghe-Zemuhe-Daliangshan fault system, southeastern Tibetan Plateau","authors":"Qi Zhang,&nbsp;Yingwei Du,&nbsp;Yajing Gao","doi":"10.1007/s11600-024-01521-1","DOIUrl":"10.1007/s11600-024-01521-1","url":null,"abstract":"<div><p>The Anninghe-Zemuhe-Daliangshan fault system is one of the most severe seismic hazard regions in China, and it is of great practical significance to analyze the characteristics of seismicity and probability of earthquake occurrence in this region. The available earthquake catalogs from both the historical and instrumental are short and incomplete, making it challenging to accurately estimate the earthquake recurrence behavior and earthquake occurrence probabilities based on these catalogs. A simulated long-term earthquake catalog can largely make up for the shortcomings of the available observational catalogs. In this paper, we established a finite element dynamics model of the Anninghe-Zemuhe-Daliangshan fault system to simulate the earthquake cycles of the regional faults and generate a long-term simulated earthquake catalog that satisfies the regional geodynamic background. Based on the simulated earthquake catalog, we analyzed the characteristics of earthquake recurrence of different magnitudes at different locations along faults in the Anninghe-Zemuhe-Daliangshan fault system, the temporal distribution of these earthquakes, and the occurrence probabilities of strong earthquakes at various future time intervals on each fault. We found that the recurrence behavior of strong earthquakes at the same location along faults in the Anninghe-Zemuhe-Daliangshan fault system often has quasi-periodicity. We observed that the Weibull model can well describe the recurrence times of these strong earthquakes of each fault. Model results showed that the probability of a next strong earthquake to be occurred on the Anninghe fault is the highest in the entire fault system.</p></div>","PeriodicalId":6988,"journal":{"name":"Acta Geophysica","volume":"73 3","pages":"2299 - 2318"},"PeriodicalIF":2.3,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143879619","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}