Velocity Mapping Toolbox (VMT): a processing and visualization suite for moving‐vessel ADCP measurements

The use of acoustic Doppler current profilers (ADCP) for discharge measurements and three‐dimensional flow mapping has increased rapidly in recent years and has been primarily driven by advances in acoustic technology and signal processing. Recent research has developed a variety of methods for processing data obtained from a range of ADCP deployments and this paper builds on this progress by describing new software for processing and visualizing ADCP data collected along transects in rivers or other bodies of water. The new utility, the Velocity Mapping Toolbox (VMT), allows rapid processing (vector rotation, projection, averaging and smoothing), visualization (planform and cross‐section vector and contouring), and analysis of a range of ADCP‐derived datasets. The paper documents the data processing routines in the toolbox and presents a set of diverse examples that demonstrate its capabilities. The toolbox is applicable to the analysis of ADCP data collected in a wide range of aquatic environments and is made available as open‐source code along with this publication. Published 2012. This article is a U.S. Government work and is in the public domain in the USA.     

A GIS tool for spatiotemporal modeling under a knowledge synthesis framework

In recent years, there has been a fast growing interest in the space–time data processing capacity of Geographic Information Systems (GIS). In this paper we present a new GIS-based tool for advanced geostatistical analysis of space–time data; it combines stochastic analysis, prediction, and GIS visualization technology. The proposed toolbox is based on the Bayesian Maximum Entropy theory that formulates its approach under a mature knowledge synthesis framework. We exhibit the toolbox features and use it for particulate matter spatiotemporal mapping in Taipei, in a proof-of-concept study where the serious preferential sampling issue is present. The proposed toolbox enables tight coupling of advanced spatiotemporal analysis functions with a GIS environment, i.e. QGIS. As a result, our contribution leads to a more seamless interaction between spatiotemporal analysis tools and GIS built-in functions; and utterly enhances the functionality of GIS software as a comprehensive knowledge processing and dissemination platform.     

基于数据增广和CNN的地震随机噪声压制

卷积神经网络(Convolutional Neural Network,CNN)是一种基于数据驱动的学习算法,简化了传统从特征提取到分类的两阶段式处理任务,被广泛应用于计算机科学的各个领域.在标注数据不足的地震数据去噪领域,CNN的推广应用受到限制.针对这一问题,本文提出了一种基于数据生成和增广的地震数据CNN去噪框架.对于合成数据,本文对无噪地震数据添加不同方差的高斯噪声,增广后构成训练集,实现基于小样本的CNN训练.对于实际地震数据,由于无法获得真实的干净数据和噪声来生成训练样本集,本文提出一种直接从无标签实际有噪数据生成标签数据集的方法.在所提出的方法中,我们利用目前已有的去噪方法从实际地震数据中分别获得估计干净数据和估计噪声,前者与未知的干净数据具有相似纹理,后者与实际噪声具有相似的概率分布.人工合成数据和实际数据实验结果表明,相较于F-X反褶积,BM3D和自适应频域滤波算法,本文方法能更好地压制随机噪声和保护有效信号.最后,本文采用神经网络可视化方法对去噪CNN的机理进行了探索,一定程度上解释了网络每一层的学习内容.     

Technology for analyzing geophysical time series: Part 2. WinABD—A software package for maintaining and analyzing geophysical monitoring data

The first part of this work discussed the software requirements for working with geophysical monitoring data. This paper considers the technology for studying similar signals realized in the WinABD program. In contrast to many statistical analysis programs, WinABD supports a complete cycle of operations necessary for working with experimental time series. The software includes a database management system, a powerful research apparatus, and an interactive data visualization environment. The program makes it possible to analyze the structure of series and reveal dependences and interrelations between signals. There are a large number of nonstandard tools and methods necessary for everyday work with nonideal data. A moving time window technology is widely used, which makes it possible to study the development of all processes with time and reveal variations related to any events. A special “window-slamming” technology at the boundaries of a series makes it possible to carry out processing with a decreasing length of the series, which allows arbitrary combination of the applied methods. All of the procedures admit the presence of gaps in observations. For all data operations, a calendar time scale is used, which substantially improves convenience of operation. Correct joint processing of series with unidentical onset dates and noncoinciding observation periodicity is provided.     

Pay the PIED Piper: Guidelines to Visualize Large Geochemical Datasets on Piper Diagrams

The Piper diagram has increased in popularity since its 1944 introduction and is now one of the most familiar and effective tools in the hydrogeologist's toolbox. Within the Piper diagram, three points on three related plots fully display the major ionic species of a water sample. Recently the size and availability of datasets have increased as additional field measurements and modeling results are shared more effectively in online databases. This growth presents opportunities and challenges for data analysis and conveyance—larger and longer datasets increase the potential to identify trends and patterns, but traditional Piper diagrams are quickly overwhelmed by large datasets as dense points overlap and become obscured. We present guidelines for effectively displaying large geochemical datasets on traditional Piper diagrams and new code that adds novel functionality for following these generic guidelines. This code, plotting interesting environmental data with Piper diagrams (PIED Piper), can be run within the Matlab environment or through a stand-alone graphical user interface, and is the first Matlab code to generate Piper diagrams. The illustrative examples herein demonstrate (1) how limitations in displays of large datasets may be overcome with translucent symbology, contours, and heatmaps to identify trends and patterns, (2) how clusters of similar points can be identified and differentiated with convex hulls, and (3) how temporal-and-spatial patterns may be visually diagnosed with image groups and movies. The guidelines discussed in these examples will aid PIED Piper users to achieve the two goals of effective big data visualization: analysis and communication.     

地震三维灾情影像图生成技术系统研究

本文将计算机技术、遥感技术、地理信息系统、图形图像处理相结合,建立三维矢量数学模型,通过三维可视化技术,形象化地描述灾区的受灾状况和受灾程度,对三维地理空间信息进行可视化管理,实现快速查询、检索、显示、输出、统计、分析及三维可视化,为基于地理信息的决策和管理提供一个真三维的立体可视平台,为地震应急决策部门进行灾害的决策和管理提供三维可视化仿真环境系统。     

CORS观测网络地壳运动监测系统研制及应用

以四川CORS观测网络为数据基础,结合GPS高精度数据处理技术及B／S技术架构,设计并实现了一套地壳运动在线监测系统。该地壳运动监测系统以GAMIT／GLOBK为数据处理引擎,实现各CORS站数据的高精度自动化解算,并通过WEB技术实现测站信息、基线序列以及坐标序列等的信息可视化表达。试验结果表明,该系统具备较好的运行稳定性和友好的人机交互性,可实现自动化的区域地壳运动监测。     

基于混编的地震前兆数据可视化系统

随着地震前兆台网数字化改造的不断发展,工作人员对地震前兆软件海量数据处理能力的要求不断提高。基于混编的地震前兆数据可视化系统所采用的混合编程模式,与传统方法相比,同时兼具了更好的友好人机界面、更强大的数据分析可视化能力等优点。实验表明,该系统能提高地震前兆工作的效率与质量,具有很好的可行性和高效性。     

三维可视化技术在临床医学的应用研究

本文首先介绍了西北大学可视化研究所研制的三维医学可视化分析系统。在此基础上,系统被用于医学影象数据库、虚拟内窥镜技术、远程会诊系统和计算机医学辅助教学系统的开发平台,为医学图象可视化提供了有力的工具.     

Parallel Visualization of Large-scale Unstructured Geophysical Data for the Earth Simulator

— A scalable and high-performance parallel visualization subsystem has been developed in GeoFEM for the Earth Simulator. As part of the Earth Simulator project in Japan, the proposed subsystem is effective for the visualization of large-scale geoscientific data, and can be concurrent with computation subsystems on the same high-performance parallel computer. Moreover, several parallel visualization methods are developed for large unstructured datasets, covering scalar, vector and tensor fields. Furthermore, a number of strategies are adopted in order to improve the parallel performance of the proposed subsystem for the Earth simulator, including the three-level hybrid parallelization and dynamic load balancing. Good visualization images and high parallel performance have been obtained on a Hitachi SR8000 for large unstructured geoscientific data sets, and thus demonstrating the feasibility and effectiveness of the proposed method for use on the Earth Simulator.     

Hagedoorn's plus-minus method: the beauty of simplicity

Hagedoorn developed the plus-minus method with the objective of providing the exploration world with a simple and rapid approximation of Thornburgh's wavefront reconstruction method. Straightforward adding and subtracting produces depths and velocities at all geophones where the refracted waves from a set of reciprocal shots are first arrivals. Even though seismic refraction has not kept up with the revolutionary advance of reflection technology during the past decades, the method still has a lot to offer, especially in shallow engineering, and environmental, groundwater and sea-bed surveying. Its strong points are the ease of application, the low costs, the effectiveness in the shallow zone, the unique ability to provide detailed velocity information on the deepest refractor and the capability for producing parameters for layer and rock characterization.Because of its simplicity, the plus-minus method is ideally suited for real-time processing of refraction data in the field, thus monitoring the data quality and the optimal shot configuration. Today, such field processing is easily performed with a laptop and dedicated software. matlab ^® is a software package that enables tailor-made processing, offering a combination of a programming language, visualization tools and a large library of ready-made functions. This paper presents a plus-minus program developed in matlab and illustrates its application with a case study in Yemen, where seismic refraction was used in a regional groundwater study. Here, refraction provided not only a detailed section across the recharge area of a coastal plain but also the additional information needed to reduce ambiguity in the interpretation of the vertical electrical soundings made in the area.     

Visualization and Analysis of Multi-terabyte Geophysical Datasets in an Interactive Setting with Remote Webcam Capabilities

Visualizing and analyzing datasets in the geosciences is becoming increasingly complicated as their volumes are growing explosively. This poses a challenging problem for researchers who must sift through terabytes of data to discover useful relationships inside the information. There is a great need for geophysicists to interactively explore their data sets. Conventional visualization systems lack adequate bandwidth and rendering capabilities necessary for the largest data sets. CAVE and Powerwall display devices are necessary for researchers to explore their data sets in an immersive setting. We describe a utilitarian system targeted specifically at the cost-effective interactive exploration of data sets tens of terabytes in size and harness this system for visualization and analysis of geophysical simulations. Webcams can be used as a steering device to track a local region of interest, which is useful for remote visualization of large data sets. This system will be employed as a web-service under the auspices of Narada-Brokering, while using webcam technologies to enable remote visualization for collaborating researchers. Webcams can be incorporated in a point-to-point network for rapid exchange of information and quickly announcing natural disasters, such as tsunamis, landslides and earthquakes.     

多通道瞬变电磁法资料处理方法技术综述

多通道瞬变电磁法是近年来国际发展的油气资源探测新方法,为了实现这种方法由油气资源领域向矿产资源勘查领域的拓展,中国科学院地质与地球物理研究所牵头对其装备与数据处理解释系统开展技术攻关.针对上述自主研发的多通道瞬变电磁装置,基于其数据采集、数据处理与解释等技术要求,本文对与之匹配开发的多通道瞬变电法磁数据处理解释系统(包含预处理、大地响应正演模拟、二维和三维数据偏移成像等模块)的性能进行分析,结果表明:经过对多通道瞬变电磁法数据处理方法的技术攻关,形成了包含数据处理、正演模拟、二三维偏移成像、解释与可视化等模块的多通道瞬变电磁数据处理解释系统,为多通道大功率电法勘探系统的应用提供了良好的支撑作用.     

基于可视化技术的地震信息服务系统设计与实现

本文设计的地震信息服务系统,通过对地震信息、多监测台网分布、城镇空间分布和人口热力数据进行充分整合,基于可视化技术Echarts实现了国家、省、市三级地震信息活动大屏可视化、地震震情信息和历史地震统计等功能,并通过Kafka分布式数据处理技术,优化整合现有地震信息数据资源,提升信息服务实效性和可靠性;系统部署在公有云计算平台,用户无需部署系统就可获取相关数据,提供了更便捷的地震信息服务,为政府和应急管理部门提供高效、标准的地震信息服务,提升面向地震灾害的公共服务能力。     

一种辐射成像三维可视化系统的实现

辐射成像技术在医疗诊断、无损检测和工业探伤领域有着重要的应用,三维可视化技术与辐射成像技术的结合有助于帮助人们以更直观和形象的方式对病灶和被检物进行检查,从而提供更为有效的信息和检查结果。本文介绍了一种基于辐射数据而构建的三维可视化系统的实现,通过系统分析和整体设计,模块级的实现、交互控制和界面设计等四个方面阐述了基本思路,对于辐射成像可视化系统的研究有一定的借鉴意义。     

基于VC++大地电磁数据处理软件开发

研究了GDP大地电磁系统AVG的数据格式,根据实际需要、结合先进的计算机技术和当今比较流行的Visual C++6.0开发工具开发了相应的软件—GDP大地电磁数据处理软件,其中主要功能有：(1)多类型参数数据的曲线显示、参数值的实时显示以及读取存储功能;(2)可视化数据编辑功能;(3)电阻率深度提取功能.笔者在软件系统的设计中,嵌入了模块化思想,为今后完善和移植GDP大地电磁系统数据处理软件奠定了基础.最后通过GDP大地电磁系统数据处理软件对青海某矿区的实测CSAMT资料进行校正处理,效果明显,说明GDP大地电磁系统数据处理软件有较强的实用性.     

Geospatial knowledge-based verification and improvement of GlobeLand30

Assuring the quality of land-cover data is one of the major challenges for large- area mapping projects. Although the use of geospatial knowledge and ancillary data in improving land-cover classification has been studied since the early 1980s, mature methods and efficient supporting tools are still lacking. This paper presents a geospatial knowledge-based verification and improvement approach for global land cover (GLC) mapping at 30-m resolution. A set of verification rules is derived from three types of land cover and its change knowledge (natural, cultural and temporal constraints). A group of web-based supporting tools is developed to facilitate the integration of and access to large amounts of ancillary data and to support online data manipulation and analysis as well as collaborative verification workflows. With this approach, two 30-m GLC datasets (GlobeLand-2000 and GlobeLand-2010) were verified and modified. The results indicate that the data quality of GlobeLand30 has been largely improved.     

Structural–formational interpretation tools for seismic stratigraphy

In the framework of a structural-and-formational interpretation (SFI) approach to seismic data processing and geological interpretation, specific software/technology tools were created to facilitate sequence stratigraphy analysis and reservoir characterization. The most important tools are two types of time–frequency representation of seismic data: the first is spectrum-time analysis (STAN), which presents a seismic trace as a series of very narrow frequency band traces, while the second tool converts an initial seismic section into a set of sections ranked with preselected frequency bands, narrower than those of the initial section, but wider than those related to STAN traces. Jointly, these two representations reflect both general trends and local temporal and spatial variations of seismic data frequency content. The use of these tools, developed in Russia in the 1980s, facilitates detection of sedimentation cycles and their depositional environments, identification of hierarchies within faulting patterns, and delineation of geological anomalies on seismic sections. This, in turn, provides reliable starting points for palaeotectonic restoration and basin modelling. In many regions, these tools have helped to clarify obscure formation structures under study and to estimate the hydrocarbon potential of these formations.     

面向对象技术在地球物理电磁成像可视化中的应用

面向对象技术作为一门新兴、热门的程序设计技术,当前被广泛应用到大规模数值分析、各种复杂可视化研究等领域.面向对象技术包含的类型继承、函数重载机制、虚函数多态机制成为设计完整、良好的电磁成像系统非常有利的因素.电磁成像系统需要大量的功能单元,数据的可视化需要功能完整的成像功能,这些需要都可以由面向对象技术中的对象得以表示、完成.另一方面,电磁成像系统的可视化优良性决定了地球物理电磁勘探结果的正确性,因此,十分有必要设计良好的电磁可视化系统.基于上述目的,本文基于面向对象技术,采用C++语言讨论了设计地球物理电磁成像系统可视化的方法结构,阐述了成像系统可视化设计中涉及的重要内容,并简述本文设计的可视化系统的应用.     

A multi-technique approach to determine temporal and spatial variability of groundwater–stream water exchange

Characterizing the spatio-temporal distribution of groundwater–surface water (GW–SW) exchange fluxes is of paramount importance in understanding catchment behavior. A wide range of field-based techniques are available for such characterization. The objective of this study is to quantify the spatio-temporal distribution of the exchange fluxes along the Çakıt stream (Niğde, Turkey) through coupling a set of geophysical techniques and in-stream measurements in a hierarchical manner. First, geological and water quality information were combined at the catchment scale to determine key areas for reach-scale focus. Second, electromagnetic induction (EMI) surveys were conducted along the reach to pinpoint potential groundwater upwelling locations. EMI anomalies guided our focus to a 665 m-long reach of the stream. Along this selected reach, a fibre-optic distributed temperature sensing (FO-DTS) system was utilized to investigate streambed temperature profiles at fine spatial and temporal scales. Furthermore, vertical hydraulic gradients and exchange fluxes were investigated using nested piezometers and vertical temperature profiles, respectively, at two potential upwelling locations and a potential downwelling location identified by previous surveys. The results of the study reveal heterogeneity of vertical water-flow components with seasonal variability. The EMI survey was successful in identifying a localized groundwater upwelling location. FO-DTS measurements revealed a warm temperature anomaly during cold air temperature and low streamflow conditions at the same upwelling site. Our point-based methods, namely vertical temperature profiles and vertical hydraulic gradient estimates, however, did not always provide consistent results with each other and with EMI and FO-DTS measurements. This study, therefore, highlights the opportunities and challenges in incorporating multi-scale observations in a hierarchical manner in characterization of the GW–SW exchange processes that are known to be highly heterogeneous in time and space. Overall, a combination of different methods helps to overcome the limitations of each single method and increases confidence in the obtained results.