观测阵列和噪声源分布对两种微动成像方法的影响及适应性分析
The Influence and Adaptability Analysis of Observation Array and Noise Source Distribution on the Two Microtremor Imaging Methods
杨浪邕航 1李红星 1姚振岸 1许昌昊 1戴田宇 2胡书凡2
作者信息
- 1. 东华理工大学地球物理与测控技术学院,江西南昌 330013
- 2. 南昌大学数学与计算机学院,江西南昌 330013
- 折叠
摘要
微动探测中噪声源分布有时并不均匀,不同阵列对不同方位噪声的适应能力也不同.为研究观测阵列和噪声源分布对被动源面波多道分析(MAPS)成像与扩展空间自相关(ESPAC)成像的影响,通过模拟噪声记录对不同阵列的不同方位噪声适应能力进行了定量分析,并将MAPS法与ESPAC法进行对比.结果表明,不同阵列下的MAPS法在面对大部分定向噪声时与ESPAC法得到的成像效果一致,二维阵列对大部分定向噪声时的适应性更好,多重三角形阵列的成像效果最为稳定.
Abstract
The distribution of noise sources in micro-motion detection is sometimes not uniform,and different ar-rays have different adaptability to noise in different directions.To study the influence of observation array and noise source distribution on multichannel analysis of passive surface wave(MAPS)imaging and extended spatial autocorrelation(ESPAC)imaging.The noise adaptability of different arrays in different directions is quantitatively analyzed by simulating noise records,and the MAPS method is compared with the ESPAC method.The results show that the MAPS method under different arrays is consistent with the imaging effect obtained by the ESPAC method in the face of most directional noise.The two-dimensional array has better adaptability in the face of most directional noise,and the imaging effect of the multi-triangle array is the most stable.
关键词
地震背景噪声/微动勘探/被动源面波多道分析/扩展空间自相关/台阵阵列Key words
seismic ambient noise/microtremor exploration/multichannel analysis of passive surface wave meth-od/extended spatial autocorrelation method/the array引用本文复制引用
出版年
2024
NETL
NSTL
万方数据