|本期目录/Table of Contents|

[1]李孝宾,陈 佳,高 琼,等.利用噪声功率谱密度的统计特征评价台站对主动源信号的接收效能*[J].地震研究,2017,40(04):572-580.
　LI Xiaobin,CHEN Jia,GAO Qiong,et al.Estimating the Receiving Efficiency of Stations by Using the Statistical Characteristics of Noise Power Spectral Densities on Active Source Signals[J].Journal of Seismological Research,2017,40(04):572-580.
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利用噪声功率谱密度的统计特征评价台站对主动源信号的接收效能*(PDF/HTML)

《地震研究》[ISSN:1000-0666/CN:53-1062/P]

卷:
40
期数:
2017年04期
页码:
572-580
栏目:
主动源专栏
出版日期:
2017-09-20

文章信息/Info

Title:
Estimating the Receiving Efficiency of Stations by Using the Statistical Characteristics of Noise Power Spectral Densities on Active Source Signals
作者:
李孝宾1; 陈 佳1; 高 琼1; 叶 泵1; 龙志强1; 张云鹏2; 杨 军1
(1.中国地震局滇西地震预报实验场,云南 大理 671000; 2.中国地震局地球物理研究所 地震观测与地球物理成像重点实验室,北京 100081)
Author(s):
LI Xiaobin1; CHEN Jia1; GAO Qiong1; YE Beng1; LONG Zhiqiang1; ZHANG Yunpeng2; YANG Jun1
(1.Western Yunnan Earthquake Prediction Study Area,China Earthquake Administration,Dali 671000,Yunnan,China)(2.Key Laboratory of Seismic Observation and Geophysical Imaging,Instituteof Geophysics,China Earthquake Administration,Beijing 100081,China)
关键词:
概率谱密度;  噪声评估;  台基处理;  对比观测;  气枪震源
Keywords:
probabilistic power spectral density;  noise level assssment;  comparative observation;  air-gun source
分类号:
P315.63
DOI:
-
摘要:
利用背景噪声的功率谱密度的统计特征,对宾川主动源周边接收台站1～10 Hz有效频带的噪声水平进行了分析。结果表明:较好的台站观测条件和观测环境可以大大提高气枪信号的记录质量,通过建立和维护高质量的观测台站,可以减少获取高信噪比的气枪信号的叠加次数,也可以在同等叠加次数下获取更远的传播距离。
Abstract:
We analysis the noise level of stations by using the statistical characteristics of background noise power spectral densities when the effective frequency is in the range of 1～10Hz at Binchuan region.The results show that the quality of records can be improved greatly with better observation condition and environment,the superposition of air-gun signals with high signal-to-noise ratio can be reduced,and the farther propagation distance also can be achieved with the same superposition by building and maintaining the stations with high quality.

参考文献/References:


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备注/Memo

备注/Memo:
收稿日期:2017-04-11
基金项目:国家自然科学基金资助项目(41474048)、云南省地震局青年基金(201608)和云南省陈颙院士工作站(2014IC007)共同资助.

更新日期/Last Update: 2017-09-20