{"title":"通过不同观测时段的临时地震阵列提高环境噪声数据的图像精度","authors":"","doi":"10.1016/j.eqrea.2024.100306","DOIUrl":null,"url":null,"abstract":"<div><div>When using ambient noise data to invert velocity and anisotropic structures, the two-station inter-correlation method requires synchronous stations. If there are multiple temporary seismic arrays with different observation periods in the study area, the seismic arrays are usually used selectively. This paper takes the Sanjiang lateral collision zone as an example, and utilizes the ambient noise data of multiple temporary seismic arrays at different observation periods to improve the accuracy of regional velocity structure and anisotropy by anchoring permanent seismic stations. In this paper, notable enhancements in S-wave velocity and azimuthal anisotropy imaging accuracy are achieved by integrating data from three temporary seismic arrays (SJ-Array, SL-Array, and ChinArray-I) with the permanent seismic network. The imaging resolutions for the S-wave velocity and azimuthal anisotropy above 40 km are 0.4° × 0.4° and 0.5° × 0.5°, respectively. In the region of the most concentrated array coverage, the imaging resolution of S-wave velocity can reach 0.33° × 0.33° at depths of less than 30 km. These findings underscore the significant improvement in deep structure imaging accuracy by the synergistic integration of ambient noise data from multiple temporary seismic arrays.</div></div>","PeriodicalId":100384,"journal":{"name":"Earthquake Research Advances","volume":"4 4","pages":"Article 100306"},"PeriodicalIF":0.0000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Improving image accuracy of ambient noise data by temporary seismic arrays at different observation periods\",\"authors\":\"\",\"doi\":\"10.1016/j.eqrea.2024.100306\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>When using ambient noise data to invert velocity and anisotropic structures, the two-station inter-correlation method requires synchronous stations. If there are multiple temporary seismic arrays with different observation periods in the study area, the seismic arrays are usually used selectively. This paper takes the Sanjiang lateral collision zone as an example, and utilizes the ambient noise data of multiple temporary seismic arrays at different observation periods to improve the accuracy of regional velocity structure and anisotropy by anchoring permanent seismic stations. In this paper, notable enhancements in S-wave velocity and azimuthal anisotropy imaging accuracy are achieved by integrating data from three temporary seismic arrays (SJ-Array, SL-Array, and ChinArray-I) with the permanent seismic network. The imaging resolutions for the S-wave velocity and azimuthal anisotropy above 40 km are 0.4° × 0.4° and 0.5° × 0.5°, respectively. In the region of the most concentrated array coverage, the imaging resolution of S-wave velocity can reach 0.33° × 0.33° at depths of less than 30 km. These findings underscore the significant improvement in deep structure imaging accuracy by the synergistic integration of ambient noise data from multiple temporary seismic arrays.</div></div>\",\"PeriodicalId\":100384,\"journal\":{\"name\":\"Earthquake Research Advances\",\"volume\":\"4 4\",\"pages\":\"Article 100306\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Earthquake Research Advances\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2772467024000320\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Earthquake Research Advances","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772467024000320","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
在使用环境噪声数据反演速度和各向异性结构时,双台站间相关法需要同步台站。如果研究区域内有多个观测周期不同的临时地震台阵,通常会有选择地使用地震台阵。本文以三江侧向碰撞带为例,利用多个不同观测周期临时地震台阵的环境噪声数据,通过锚定永久地震台,提高区域速度结构和各向异性的精度。本文通过将三个临时地震台阵(SJ-Array、SL-Array 和 ChinArray-I)的数据与永久地震台网整合,显著提高了 S 波速度和方位各向异性的成像精度。40 km 以上 S 波速度和方位各向异性的成像分辨率分别为 0.4° × 0.4° 和 0.5° × 0.5°。在阵列覆盖最集中的区域,S 波速度的成像分辨率在深度小于 30 千米时可以达到 0.33° × 0.33°。这些发现突出表明,通过对多个临时地震阵列的环境噪声数据进行协同整合,深部结构成像精度得到显著提高。
Improving image accuracy of ambient noise data by temporary seismic arrays at different observation periods
When using ambient noise data to invert velocity and anisotropic structures, the two-station inter-correlation method requires synchronous stations. If there are multiple temporary seismic arrays with different observation periods in the study area, the seismic arrays are usually used selectively. This paper takes the Sanjiang lateral collision zone as an example, and utilizes the ambient noise data of multiple temporary seismic arrays at different observation periods to improve the accuracy of regional velocity structure and anisotropy by anchoring permanent seismic stations. In this paper, notable enhancements in S-wave velocity and azimuthal anisotropy imaging accuracy are achieved by integrating data from three temporary seismic arrays (SJ-Array, SL-Array, and ChinArray-I) with the permanent seismic network. The imaging resolutions for the S-wave velocity and azimuthal anisotropy above 40 km are 0.4° × 0.4° and 0.5° × 0.5°, respectively. In the region of the most concentrated array coverage, the imaging resolution of S-wave velocity can reach 0.33° × 0.33° at depths of less than 30 km. These findings underscore the significant improvement in deep structure imaging accuracy by the synergistic integration of ambient noise data from multiple temporary seismic arrays.