Applied Geophysics最新文献_第2页

Evaluation of NLLoc positioning method and seismogenic structure analysis of Luanzhou MS 4.3 earthquake 滦州 MS 4.3 地震 NLLoc 定位方法评估与震源结构分析

IF 0.7 4区地球科学

Applied Geophysics Pub Date : 2024-07-12 DOI: 10.1007/s11770-024-1122-7

Yang Zhang, Xiao-Shan Wang, Ting Chen, Guo-Jun Lv, Hai-lin Yu, Jun-lin Chen

{"title":"Evaluation of NLLoc positioning method and seismogenic structure analysis of Luanzhou MS 4.3 earthquake","authors":"Yang Zhang, Xiao-Shan Wang, Ting Chen, Guo-Jun Lv, Hai-lin Yu, Jun-lin Chen","doi":"10.1007/s11770-024-1122-7","DOIUrl":"https://doi.org/10.1007/s11770-024-1122-7","url":null,"abstract":"NLLoc is a nonlinear search positioning method. In this study, we use simulated arrival time data to quantitatively evaluate the NLLoc method from three aspects: arrival time picking accuracy, station distribution, and velocity model. The results show that the NLLoc method exhibits high positioning accuracy and stability in terms of arrival time picking accuracy and station distribution; however, it is sensitive to the velocity model. The positioning accuracy is higher when the velocity model is smaller than the true velocity. We combined absolute and relative positioning methods. First, we use the NLLoc method for absolute positioning of seismic data and then the double difference positioning method for relative positioning to obtain a more accurate relocation result. Furthermore, we used the combined method to locate the earthquake sequence after collecting dense seismic array data on the Luanzhou MS 4.3 earthquake that occurred on April 16, 2021, in Hebei Province. By fitting the fault plane with the relocated earthquake sequences, the results show that the strike and dip angles of the seismogenic fault of the Luanzhou MS 4.3 earthquake are 208.5° and 85.6°, respectively. This indicates a high-dip angle fault with North–North–East strike and North–West dip directions. Furthermore, we infer that the seismogenic fault of the Luanzhou MS 4.3 earthquake is the Lulong fault.","PeriodicalId":55500,"journal":{"name":"Applied Geophysics","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141609405","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}

引用次数: 0

Training data selection using information entropy: Application to heating load modeling of rural residence in northern China 利用信息熵选择训练数据：应用于中国北方农村居民采暖负荷建模

IF 0.7 4区地球科学

Applied Geophysics Pub Date : 2024-07-10 DOI: 10.1007/s11770-024-1120-9

Li-gai Kang, Hao Li, Zhi-chao Wang, Dong-xiang Sun, Jin-zhu Wang, Yang Yang, Xu Zhang

{"title":"Training data selection using information entropy: Application to heating load modeling of rural residence in northern China","authors":"Li-gai Kang, Hao Li, Zhi-chao Wang, Dong-xiang Sun, Jin-zhu Wang, Yang Yang, Xu Zhang","doi":"10.1007/s11770-024-1120-9","DOIUrl":"https://doi.org/10.1007/s11770-024-1120-9","url":null,"abstract":"The selection of input variables and their amount has been an important issue in big data load forecasting. Taking heating load forecasting as an example, this paper proposed a method for data filtering based on information entropy. First, the heating data from an air source heat pump system adopted by a rural residence in northern China were employed. Moreover, the training data were classified based on linear or nonlinear variations of outdoor temperature and its changing ranges, while the validation data included three different types of weather conditions, namely, cold, cool, and mild. Then, the information entropy under 2-h, 4-h, 6-h and 8-h training window was quantified to be 1.811, 1.839, 1.877 and 1.856, respectively. For the employed rural residence, an equivalent three-resistance and two-capacity model was established to validate the effectiveness of the training window. Using the derived optimal thermal resistance and capacity, the various selection of outdoor temperature variation trend and range were compared and optimized. Results showed that 6 h of training data had the maximum information entropy and the most abundant information, the minimum errors between actual and forecasting data were observed under 6 h of training data, linear change, and lower outdoor temperature. The mean absolute percentage errors for the load forecasting of three typical days were 5.63%, 8.46%, and 12.10%, respectively.","PeriodicalId":55500,"journal":{"name":"Applied Geophysics","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141585212","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}

引用次数: 0

Three-dimensional CSAMT Forward Modeling of Potential Landslide Sliding Surfaces Using Finite Element Method 利用有限元法建立潜在滑坡滑动面的三维 CSAMT 正演模型

IF 0.7 4区地球科学

Applied Geophysics Pub Date : 2024-07-04 DOI: 10.1007/s11770-024-1119-2

Ruo Wang, Qingyun Di, Da Lei, Changmin Fu, Pengfei Liang, Miaoyue Wang

{"title":"Three-dimensional CSAMT Forward Modeling of Potential Landslide Sliding Surfaces Using Finite Element Method","authors":"Ruo Wang, Qingyun Di, Da Lei, Changmin Fu, Pengfei Liang, Miaoyue Wang","doi":"10.1007/s11770-024-1119-2","DOIUrl":"https://doi.org/10.1007/s11770-024-1119-2","url":null,"abstract":"Landslides are a type of natural disaster that can cause substantial harm to humanity. Monitoring and predicting the initiation of potential landslides is critical to avoiding losses due to disasters and economic activities. The impact of the controlled-source audio-frequency magnetotelluric method on investigating landslide surfaces is assessed through numerical simulations with a finite element approach. A Dirichlet boundary condition is selected to match the truncated boundary, resulting in a remarkable improvement in simulation efficiency. Rederivation of the formulas for a layered medium adept to the controlled-source audio-frequency magnetotelluric method is necessary to determine the electromagnetic field at any location along the truncated boundary. After the reliability evaluation of the new codes, a landslide model with a slide surface is designed, and the characteristics of its electromagnetic field and the apparent resistivity are studied. Instead of the total electromagnetic field, which is strongly influenced by topography variation, the apparent resistivity should be used for sliding surface detection. The normalized pure anomalous electromagnetic field may also be employed to quickly assess the detectability of the sliding surface. Overall, this study demonstrates that the controlled-source audio-frequency magnetotelluric method can be employed for investigating landslides, and recommends survey parameters, including configuration, frequency range, and length of survey line in landslide exploration.","PeriodicalId":55500,"journal":{"name":"Applied Geophysics","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141549982","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}

引用次数: 0

Detecting the Bull’s-Eye Effect in Seismic Inversion Low-Frequency Models Using the Optimized YOLOv7 Model 利用优化 YOLOv7 模型检测地震反演低频模型中的牛眼效应

IF 0.7 4区地球科学

Applied Geophysics Pub Date : 2024-06-27 DOI: 10.1007/s11770-024-1118-3

Jun Li, Jia-bing Meng, Pan Li

{"title":"Detecting the Bull’s-Eye Effect in Seismic Inversion Low-Frequency Models Using the Optimized YOLOv7 Model","authors":"Jun Li, Jia-bing Meng, Pan Li","doi":"10.1007/s11770-024-1118-3","DOIUrl":"https://doi.org/10.1007/s11770-024-1118-3","url":null,"abstract":"To detect bull’s-eye anomalies in low-frequency seismic inversion models, the study proposed an advanced method using an optimized you only look once version 7 (YOLOv7) model. This model is enhanced by integrating advanced modules, including the bidirectional feature pyramid network (BiFPN), weighted intersection-over-union (wise-IoU), efficient channel attention (ECA), and atrous spatial pyramid pooling (ASPP). BiFPN facilitates robust feature extraction by enabling bidirectional information flow across network scales, which enhances the ability of the model to capture complex patterns in seismic inversion models. Wise-IoU improves the precision and fineness of reservoir feature localization through its weighted approach to IoU. Meanwhile, ECA optimizes interactions between channels, which promotes effective information exchange and enhances the overall response of the model to subtle inversion details. Lastly, the ASPP module strategically addresses spatial dependencies at multiple scales, which further enhances the ability of the model to identify complex reservoir structures. By synergistically integrating these advanced modules, the proposed model not only demonstrates superior performance in detecting bull’s-eye anomalies but also marks a pioneering step in utilizing cutting-edge deep learning technologies to enhance the accuracy and reliability of seismic reservoir prediction in oil and gas exploration. The results meet scientific literature standards and provide new perspectives on methodology, which makes significant contributions to ongoing efforts to refine accurate and efficient prediction models for oil and gas exploration.","PeriodicalId":55500,"journal":{"name":"Applied Geophysics","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141528910","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}

引用次数: 0

Characteristics of secondary microseisms generated in the Bohai Sea and their impact on seismic noise 渤海次生微地震的特征及其对地震噪声的影响

IF 0.7 4区地球科学

Applied Geophysics Pub Date : 2024-06-26 DOI: 10.1007/s11770-024-1113-8

Kang-Da Yin, Xiao-Gang Zhang, Xiao-Jun Li, Guo-Liang Mao, Xing-Xing Zhang, Xiao-Hui Jia

{"title":"Characteristics of secondary microseisms generated in the Bohai Sea and their impact on seismic noise","authors":"Kang-Da Yin, Xiao-Gang Zhang, Xiao-Jun Li, Guo-Liang Mao, Xing-Xing Zhang, Xiao-Hui Jia","doi":"10.1007/s11770-024-1113-8","DOIUrl":"https://doi.org/10.1007/s11770-024-1113-8","url":null,"abstract":"In this study, we use the Bohai Sea area as an example to investigate the characteristics of secondary microseisms and their impact on seismic noise based on the temporal frequency spectral analysis of observation data from 33 broadband seismic stations during strong gust periods, and new perspectives are proposed on the generation mechanisms of secondary microseisms. The results show that short-period double-frequency (SPDF) and long-period double-frequency (LPDF) microseisms exhibit significant alternating trends of strengthening and weakening in the northwest area of the Bohai Sea. SPDF microseisms are generated by irregular wind waves during strong offshore wind periods, with a broad frequency band distributed in the range of 0.2–1 Hz; LPDF microseisms are generated by regular swells during periods of sea wind weakening, with a narrow frequency band concentrated between 0.15 and 0.3 Hz. In terms of temporal dimensions, as the sea wind weakens, the energy of SPDF microseisms weakens, and the dominant frequencies increase, whereas the energy of LPDF microseisms strengthens and the dominant frequencies decrease, which is consistent with the process of the decay of wind waves and the growth of swells. In terms of spatial dimensions, as the microseisms propagate inland areas, the advantageous frequency band and energy of SPDF microseisms are reduced and significantly attenuated, respectively, whereas LPDF microseisms show no significant changes. And during the propagation process in high-elevation areas, LPDF microseisms exhibit a certain site amplification effect when the energy is strong. The results provide important supplements to the basic theory of secondary microseisms, preliminarily reveal the relationship between the atmosphere, ocean, and seismic noise, and provide important theoretical references for conducting geological and oceanographic research based on the characteristics of secondary microseisms.","PeriodicalId":55500,"journal":{"name":"Applied Geophysics","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141501684","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}

引用次数: 0

1D Convolutional Seismic Event Classification Method Based on Attention Mechanism and Light Inception Block 基于注意机制和光接收块的一维卷积地震事件分类方法

IF 0.7 4区地球科学

Applied Geophysics Pub Date : 2024-06-25 DOI: 10.1007/s11770-024-1117-4

Yong-ming Huang, Yi Xie, Fa-jun Miao, Yong-sheng Ma, Gao-chuan Liu, Guo-bao Zhang, Yun-tian Teng

{"title":"1D Convolutional Seismic Event Classification Method Based on Attention Mechanism and Light Inception Block","authors":"Yong-ming Huang, Yi Xie, Fa-jun Miao, Yong-sheng Ma, Gao-chuan Liu, Guo-bao Zhang, Yun-tian Teng","doi":"10.1007/s11770-024-1117-4","DOIUrl":"https://doi.org/10.1007/s11770-024-1117-4","url":null,"abstract":"Waveforms of artificially induced explosions and collapse events recorded by the seismic network share similarities with natural earthquakes. Failure to identify and screen them in a timely manner can introduce confusion into the earthquake catalog established using these recordings, thereby impacting future seismological research. Therefore, the identification and separation of natural earthquakes from continuous seismic signals contribute to the monitoring and early warning of destructive tectonic earthquakes. A 1D convolutional neural network (CNN) is proposed for seismic event classification using an efficient channel attention mechanism and an improved light inception block. A total of 9937 seismic sample records are obtained after waveform interception, filtering, and normalization. The proposed model can obtain better classification performance than other major existing methods, exhibiting 96.79% overall classification accuracy and 96.73%, 94.85%, and 96.35% classification accuracy for natural seismic events, collapse events, and blasting events, respectively. Meanwhile, the proposed model is lighter than the 2D convolutional and common inception networks. We also apply the proposed model to the seismic data recorded at the University of Utah seismograph stations and compare its performance with that of the CNN-waveform model.","PeriodicalId":55500,"journal":{"name":"Applied Geophysics","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141501683","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}

引用次数: 0

Bayesian-based Full Waveform Inversion 基于贝叶斯的全波形反演

IF 0.7 4区地球科学

Applied Geophysics Pub Date : 2024-06-24 DOI: 10.1007/s11770-024-1116-5

Huai-shan Liu, Yu-zhao Lin, Lei Xing, He-hao Tang, Jing-hao Li

引用次数: 0

Design and Implementation of Closed-Loop Control of Vector Force in Static Push-the-bit Rotary Steering System 静态推杆位旋转转向系统中矢量力闭环控制的设计与实现

IF 0.7 4区地球科学

Applied Geophysics Pub Date : 2024-06-22 DOI: 10.1007/s11770-024-1111-x

Yao Liang, Hong-bo Kang, Yue Liu, Wen Chen, Yan Sun, Li Ma, Yan-Wei Zhao

引用次数: 0

Automatic identification of GPR targets on roads based on CNN and Grad-CAM 基于 CNN 和 Grad-CAM 自动识别道路上的 GPR 目标

IF 0.7 4区地球科学

Applied Geophysics Pub Date : 2024-06-20 DOI: 10.1007/s11770-024-1105-8

Yi-Tao Dou, Guo-Qi Dong, Xin Li

引用次数: 0

Relationship between stress field and apparent velocity and Poisson ratio fields 应力场与表观速度场和泊松比场之间的关系

IF 0.7 4区地球科学

Applied Geophysics Pub Date : 2024-06-20 DOI: 10.1007/s11770-024-1104-9

Shou-Yong Li, Xiu-Qing Song

{"title":"Relationship between stress field and apparent velocity and Poisson ratio fields","authors":"Shou-Yong Li, Xiu-Qing Song","doi":"10.1007/s11770-024-1104-9","DOIUrl":"https://doi.org/10.1007/s11770-024-1104-9","url":null,"abstract":"Stress field movements result directly from earthquakes; therefore, observing the stress field is significant. Experiments on the relationships among wave velocity, stress factors, and faults show that the wave velocity of rock media under stable stress fields corresponds one-to-one with stress factors. Therefore, the wave velocity gradient can indicate the direction of stress loss, and the gradient divergence can indicate the strength of the stress field. To verify the results, considering the limitations of wave velocity measurement in solid crustal media, two quantities, namely the apparent wave velocity and Poisson ratios relating to wave velocity, were used to reflect the stress field state. The seismic data of the Tangshan and Luzhou regions were studied separately. The calculated apparent wave velocity and Poisson ratios were interpolated to achieve regional data gridding. The gradients and the gradient divergences of the apparent wave velocity and Poisson ratio fields in the two regions were analyzed, and it was found that their spatial distribution in the same region was the same. They are believed to reflect the vertical projection of the stress direction loss and strength on the surface in the stress field, consistent with the experimental results. Whether it can effectively reflect the stress field requires further analysis of the specific situation of the local medium and the movement mode of the stress field.","PeriodicalId":55500,"journal":{"name":"Applied Geophysics","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141521075","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}

引用次数: 0