Installation and Performance of the Albuquerque Seismological Laboratory Small-Aperture Posthole Array

2020 ◽  
Vol 91 (4) ◽  
pp. 2425-2437
Author(s):  
Robert E. Anthony ◽  
Adam T. Ringler ◽  
David C. Wilson ◽  
J. Zebulon Maharrey ◽  
Gary Gyure ◽  
...  

Abstract The Global Seismographic Network (GSN) has been used extensively by seismologists to characterize large earthquakes and image deep earth structure. Although the network’s original design goals have been met, the seismological community has suggested that the incorporation of small-aperture seismic arrays at select sites may improve performance of the network and enable new observations. As a pilot study for this concept, we have created a 500 m aperture, nine-element broadband seismic array around the GSN station ANMO (Albuquerque, New Mexico) at the U.S. Geological Survey Albuquerque Seismological Laboratory (ASL). The array was formed by supplementing the secondary borehole seismometer (90 m depth) at ANMO with eight additional 2.6 m posthole sites. Each station’s seismometer was oriented using a fiber optic gyroscope to within 2.0° of north. Data quality, particularly on the vertical components, is excellent with median power levels closely tracking the secondary sensor at ANMO at frequencies lower than 1 Hz. Horizontal component data are more variable at low frequencies (<0.02  Hz), with the type of installation and local geography appearing to strongly influence the amount of tilt-induced noise. Throughout the article, we pose several fundamental questions related to the variability and precision of seismic wavefield measurements that we seek to address with data from this array. In addition, we calculate the array response and show a few examples of using the array to obtain back azimuths of a local event and a continuous narrowband noise source. The apparent velocity of the event across the array is then used to infer the local P-wave velocity at the ASL. Near-real-time data collected from the array along with collocated meteorological, magnetic, and infrasound data are freely available in near-real time from the Incorporated Research Institutions for Seismology Data Management Center.


2014 ◽  
Vol 571-572 ◽  
pp. 497-501 ◽  
Author(s):  
Qi Lv ◽  
Wei Xie

Real-time log analysis on large scale data is important for applications. Specifically, real-time refers to UI latency within 100ms. Therefore, techniques which efficiently support real-time analysis over large log data sets are desired. MongoDB provides well query performance, aggregation frameworks, and distributed architecture which is suitable for real-time data query and massive log analysis. In this paper, a novel implementation approach for an event driven file log analyzer is presented, and performance comparison of query, scan and aggregation operations over MongoDB, HBase and MySQL is analyzed. Our experimental results show that HBase performs best balanced in all operations, while MongoDB provides less than 10ms query speed in some operations which is most suitable for real-time applications.



2013 ◽  
Vol 365-366 ◽  
pp. 658-661
Author(s):  
Ying Bo Cai ◽  
Huan Zha ◽  
Xue Tong Wei

Demand for high-speed fiber optic gyroscope data acquisition and real-time record, the design of the SD Card as storage medium to large capacity fiber optic gyro high - speed real - time acquisition and bulk storage systems, The system by applying the sd2.0 protocol and fat32 file systems in the system, enable real - time Data Acquisition of fiber optic gyro and large capacity storage. Experiments have shown that the system properly designed, easy to use, high reliability to meet the actual demand, is of important practical significance.



2005 ◽  
Vol 277-279 ◽  
pp. 771-775
Author(s):  
Hyoun Kyoung Kim ◽  
Sang Jong Lee ◽  
Tae Sik Kim ◽  
Hae Chang Lee

A control system and ground pilots who operate the system are necessary to control an unmanned vehicle. This paper describes a Ground Control System(GCS) of the unmanned airship developed at KARI. The system is capable of mission planning, real-time data processing, remote real-time data analysis, and data storage and extraction. We estimate the performance of the system and verify its reliability using real-time simulation software. The software relies on a priority-based multitasking algorithm. No task has delay time and deadlock with semaphore, all of the ground system works in stable during the test flight.





Author(s):  
Huwei Li ◽  
Duo Li ◽  
Huasheng Xiong

Distributed control system (DCS) is widely used in industrial process control. As a matter of fact, the database in DCS is of great importance for the safety and reliability of the whole system. This paper focuses on the distributed real-time database in a dedicated DCS used to a small nuclear power station. A database which runs under Vxworks embedded operation system and can satisfy the basic database requirements was established by using the RDM Embedded database management system which reduces the operation system resources consumption. Three redundant databases are running in three distributed embedded computers, and the UDP protocol is used to implement their synchronization and the data transmission from low level computers to them. This system architecture is able to enhance the database reliability and the overall system performance. Experimental testing results show that the developed redundant databases structure running in three embedded computer called operator stations is efficient and reliable to manage real-time data, and it can meet its function and performance requirements in small nuclear power plant.



2015 ◽  
Vol 3 (4) ◽  
pp. 2709-2737 ◽  
Author(s):  
E. Marchetti ◽  
M. Ripepe ◽  
G. Ulivieri ◽  
A. Kogelnig

Abstract. Avalanche risk management is strongly related to the ability to identify and timely report the occurrence of snow avalanches. Infrasound has been applied to avalanche research and monitoring for the last 20 years but it never turned into an operational tool for the ambiguity to identify clear signals related to avalanches. We present here a new method based on the analysis of infrasound signals recorded by a small aperture array in Ischgl (Austria), which overcome now this limit. The method is based on array derived wave parameters, such as back-azimuth and apparent velocity. The method defines threshold criteria for automatic avalanche identification considering avalanches as a moving source of infrasound. We validate efficiency of the automatic infrasound detection with continuous observations with Doppler Radar and we show how dynamics parameters such as the velocity of a snow avalanche in any given path around the array can be efficiently derived. Our results indicate that a proper infrasound array analysis allows a robust, real-time, remote detection of snow avalanches that could thus contribute significantly to avalanche forecast and risk management.



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