| 利用基于围陷波波形相关的网格搜索法确定昆仑山断裂带结构参数 |
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| 引用本文： | 姚志祥,王椿镛,楼海.利用基于围陷波波形相关的网格搜索法确定昆仑山断裂带结构参数[J].地球物理学报,2010,53(5):1167-1172. |
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| 作者姓名： | 姚志祥 王椿镛 楼海 |
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| 作者单位： | 中国地震局地球物理研究所，北京 100081 |
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| 基金项目： | 国家自然科学基金项目(40334041) 、中央级公益性科研院所基本科研业务费专项(DQJB09B05)资助. |
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| 摘 要： | 提出了确定断层带结构的一种方法，它利用基于断层带围陷波波形相关的网格搜索法，以定量地确定断层带参数.该方法通过建立一系列由断层带的相关参数构建的断层带结构模型，利用有限差分方法数值模拟每组参数对应的断层带模型所产生的围陷波，并与实际观测围陷波波形进行相关分析，计算由以断层参数为多维网格坐标的相关系数变化趋势，网格搜索其峰值，最终获得最佳的一组参数，并确定断层带的结构.本文对昆仑山断裂带人工激发的围陷波进行分析，利用该方法确定了断裂带宽度和Q值参数.
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| 关 键 词： | 断层带围陷波 网格搜索 波形相关 有限差分数值模拟 昆仑山断裂带 |
| 收稿时间： | 2009-11-16 |
| 修稿时间： | 2010-04-01 |
Ascertaining the structure parameters of Kunlun fault zone using the grid searching method based on trapped wave correlation |
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| YAO Zhi-Xiang,WANG Chun-Yong,LOU Hai.Ascertaining the structure parameters of Kunlun fault zone using the grid searching method based on trapped wave correlation[J].Chinese Journal of Geophysics,2010,53(5):1167-1172. |
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| Authors: | YAO Zhi-Xiang WANG Chun-Yong LOU Hai |
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| Institution: | Institute of Geophysics, China Earthquake Administration, Beijing 100081, China |
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| Abstract: | In this paper, a method for quantitative analysis of the structure parameters of fault zones is proposed by using a grid search method based on trapped wave correlation. A series of models with the parameters of fault zone structures are set up, and the simulations of trapped waves are performed using the finite difference algorithm. After the fitness between synthetics and observed trapped waves is analyzed, the variation tendency of correlation coefficients is calculated in the multi-dimensional coordinate systems of the structure parameters of fault zones. A grid search process for the peak of the correlation coefficients is carried out in order to ascertain the optimal structure parameters. We analyze the trapped waves generated by explosions in the Kunlun fault zone and ascertain the width and Q value of the Kunlun fault zone using the method. |
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| Keywords: | Fault-zone wrapped waves Grid search Waveform correlation Finite difference numerical simulation Kunlun fault zone |
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