Seismic ground-roll noise attenuation using deep learning     

Harpreet Kaur  Sergey Fomel  Nam Pham 《Geophysical Prospecting》2020,68(7):2064-2077

We propose to adopt a deep learning based framework using generative adversarial networks for ground-roll attenuation in land seismic data. Accounting for the non-stationary properties of seismic data and the associated ground-roll noise, we create training labels using local time–frequency transform and regularized non-stationary regression. The basic idea is to train the network using a few shot gathers such that the network can learn the weights associated with noise attenuation for the training shot gathers. We then apply the learned weights to test ground-roll attenuation on shot gathers, that are not a part of training input to obtain the desired signal. This approach gives results similar to local time–frequency transform and regularized non-stationary regression but at a significantly reduced computational cost. The proposed approach automates the ground-roll attenuation process without requiring any manual input in picking the parameters for each shot gather other than in the training data. Tests on field-data examples verify the effectiveness of the proposed approach.  相似文献   

Simultaneous water and vapour transfer in an unsaturated mudstone in badlands terrain,southwestern Taiwan     

Kohei Higuchi  Masahiro Chigira  Der-Her Lee  Jian-Hong Wu 《地球表面变化过程与地形》2020,45(13):3323-3335

The simultaneous transfer of pore fluid and vapour was studied in the unsaturated shallow subsurface of a Plio-Pleistocene marine mudstone badland slope in southwestern Taiwan during the dry season using field monitoring data and numerical simulations. Data from field monitoring show mass-basis water contents of ~0.05 to ~0.10 that decrease towards the unsaturated ground surface and were invariant during the middle part of the dry season, except for daily fluctuations. In addition, the observed daily fluctuations in water content correlate with fluctuations in bedrock temperature, especially at depths of 2.5–5.0 cm. Periodic increases in water content occurred most notably during the day, when the bedrock temperature showed the greatest increase. Water contents then decreased to the previous state as bedrock temperature decreased during the night. Calculated vapour fluxes within the mudstone during the day increased up to 6 × 10⁻⁶–1 × 10⁻⁵ kg m⁻² s⁻¹, deriving a 0.01–0.02 increase in mass-basis water content at 2.5 cm depth for a 12-h period. This agrees with field monitoring data, suggesting that increases in water content occurred due to vapour intrusions into the bedrock. Pore water electrical conductivity (EC) showed periodic variations due to vapour intrusion, and gradually increased between the ground surface and depths of 2.5–5.0 cm. In contrast, pore water EC gradually decreased between 15 and 40 cm depth. Calculated water fluxes at depths of 2.5–40.0 cm varied from −4 × 10⁻⁶ to −2 × 10⁻⁹ kg m⁻² s⁻¹. These fluxes generated an increase in solute concentrations at the ground surface, with negative values of water flux indicating an upwards movement of water towards the surface. We show that the increase in solute content due to solute transfer from depth is highly dependent on variations in water flux with depth. © 2020 John Wiley & Sons, Ltd.  相似文献   

Early Identification of the Jiangdingya Landslide of Zhouqu Based on SBAS-InSAR Technology   总被引：1，自引：1，他引：0  

YU Haihu  CAI Guolin  GAN Quan  SHEN Dong 《中国地震研究》2020,34(4):510-522

SBAS-InSAR technology is characterized by the advantages of reducing the influence of terrain-simulation error, time-space decorrelation, atmospheric error, thereby improving the reliability of surface-deformation monitoring. This paper studies the early landslide identification method based on SBAS-InSAR technology. Selecting the Jiangdingya landslide area in Zhouqu County, Gansu Province as the research area, 84 ascending-orbit Sentinel-1A SAR images from 2015 to 2019 are collected. In addition, using SBAS-InSAR technology, the rate and time-series results of surface deformation of the landslide area in Jiangdingya during this period are extracted, and potential landslides are identified. The results show that the early landslide identification method based on SBAS-InSAR technology is highly feasible and is a better tool for identifying potential landslides in large areas.  相似文献   

微型全极化SAR海洋监测应用技术研究     

王军锋  乔明  刘子畅  吕大勇 《测绘与空间地理信息》2020,(2):88-90

我国作为海洋大国,近年来海洋事业进入快速发展时期,合成孔径雷达以其自身的技术特点在海洋遥感监测中发挥了重要的作用。在以往的海洋监测中大多采用星载合成孔径雷达获取海洋数据,但因星载SAR受到卫星搭载平台和运行轨道等因素影响,对局部地区高时效的数据获取还存在一定的制约因素。本文通过对无人机机载微型全极化合成孔径雷达对海岸带、海岛礁、海洋动目标高分辨率成像和应用分析研究,为无人机机载SAR在海洋监测中的应用提供了全新的技术手段。  相似文献   

基于物流企业数据的2007-2017年中国城市网络空间特征及演化     

宗会明  吕瑞辉 《地理科学》2020,40(5):760-767

采用2007、2012和2017年中国百强物流企业网络数据,运用世界城市网络研究的链锁网络模型方法,分析中国城市网络的等级结构、空间分异、空间联系及其演变特征。研究表明：基于物流企业数据的中国城市网络具有明显的层级特征,并呈现“两主多中心”的区域空间结构,网络联系的离散水平逐渐降低,其稳定性和均衡性有所增加,等级结构趋于合理;各节点城市组织能力空间分异明显,京津冀、长三角、珠三角的组织能力和介中心性始终处于较高水平,城市间物流联系逐渐增强,并有协同发展的趋势;城市网络联系中,长江沿线城市物流网络联系地位上升,上海为中心的T字型空间结构替代以北京为中心的核心网络结构,在全国尺度形成以胡焕庸线为界线,物流联系网络呈中东部密集、西部相对稀疏的空间格局,其演变过程呈现由等级网络联系特征向等级性与空间近邻性网络联系特征转变趋势。  相似文献   

功能疏解背景下京津冀中部核心区产业投资网络演化研究     

刘骁啸  吴康 《地理科学进展》2020,39(12):1972-1984

非首都功能疏解作为京津冀协同发展战略的核心,对解决北京大城市病、实现京津冀可持续发展具有重要意义。论文构建了一个“四位一体”的产业投资网络演化分析框架,以京津冀中部核心区为研究对象,利用工商企业投资大数据测度了非首都功能的3类重点行业在2010、2014、2018年的资本流动特征,并从“节点—路径—格局”3个层面分析了功能疏解背景下产业投资网络演化过程。研究结果表明,非首都功能疏解背景下,北京市各行业对外投资增强,投资集聚中心逐渐向外围转移,但不同行业演化格局存在差异。制造业呈现由邻近扩散向等级扩散转变的演化路径,并向着多中心格局发展;批发零售业在资本净流动层面显示出扩散特征,在骨干路径层面呈现集聚现象,分布格局由北京单极放射状向京津双核联动演化;交通运输仓储和物流业向郊区物流园区所在地集聚,但网络整体发育滞后。研究结果能够为科学认识首都功能疏解情况、了解中部核心区产业结构及产业发展的变动态势提供参考。  相似文献   

Pedestrian network generation based on crowdsourced tracking data     

Xue Yang  Chang Ren  Yang Chen  Zhong Xie  Qingquan Li 《International journal of geographical information science》2020,34(5):1051-1074

ABSTRACT

Pedestrian networks play an important role in various applications, such as pedestrian navigation services and mobility modeling. This paper presents a novel method to extract pedestrian networks from crowdsourced tracking data based on a two-layer framework. This framework includes a walking pattern classification layer and a pedestrian network generation layer. In the first layer, we propose a multi-scale fractal dimension (MFD) algorithm in order to recognize the two different types of walking patterns: walking with a clear destination (WCD) or walking without a clear destination (WOCD). In the second layer, we generate the pedestrian network by combining the pedestrian regions and pedestrian paths. The pedestrian regions are extracted based on a modified connected component analysis (CCA) algorithm from the WOCD traces. We generate the pedestrian paths using a kernel density estimation (KDE)-based point clustering algorithm from the WCD traces. The pedestrian network generation results using two actual crowdsourced datasets show that the proposed method has good performance in both geometrical correctness and topological correctness.  相似文献   

基于Datist的测震分析月报自动产出技术研发     

王宇航  庞瑶  宫悦  颜利君  黄春梅 《四川地震》2020,(1):40-43

针对四川测震台网运行月报中关于测震分析章节编写过程中的程序化工作流程,依托于数据专家(Datist)自动化流程实现了数据源读取、数据清洗、目录统计、绘制震中分布图、计算速报结果自评和报告自动产出等功能,辅助完成月报生成。实践证明该成果可有效减轻地震监测人员的工作负担,提高工作效率。  相似文献   

分布式光纤声波传感器及其在天然地震学研究中的应用     

张丽娜  任亚玲  林融冰  宋政宏  曾祥方 《地球物理学进展》2020,(1):65-71

分布式光纤声波传感器(Distributed Acoustic Sensing,DAS)是近年来兴起的超密集地震观测系统,具有一系列观测密度高、观测成本低、耐受恶劣环境等优势,在油气行业得到了广泛应用,也引起了天然地震学界的关注.本文简要回顾了DAS系统的测量原理、发展历程、技术方案、介绍了测量原理及其响应特性,然后围绕多个观测实验,介绍浅部结构成像、深部结构探测和地震监测三个方向的典型应用实例,最后讨论了DAS系统在天然地震学研究中应用面临的挑战和发展趋势.  相似文献   

基于Android平台的分布式无线微震采集站布站与监控软件研究与实现     

刘诗扬  张启升  张启卯  乔帅卿  晏使楚  李文豪  郭丰  汪永青  衡星  柯振  张璇 《地球物理学进展》2020,(1):331-338

由于地震勘探仪器呈现小型化、无线化、智能化发展趋势,传统操作平台无法满足便携式勘探仪器使用需要.因此本文利用Android移动设备便携性、普及性高,用户基础好的特点,实现了基于Android平台的无线微震采集站布站与监控软件.该软件在大范围野外施工中,为施工人员提供包括定位、测距、测角、网络监测等全程可视化布站功能,同时提供监测施工中小型、大型微震采集站阵列实时网络情况,以及采集站状态的智能控制、数据实时监控等功能.经过施工测试,软件稳定性好、便携性高,极大提高野外施工效率.  相似文献