| 鄂尔多斯地块北缘b值的时空特征及其地震预测效能分析 |
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| 引用本文： | 张帆,韩晓明,陈立峰,李娟,李拴虎,胡博.鄂尔多斯地块北缘b值的时空特征及其地震预测效能分析[J].地震学报,2018,40(6):785-796. |
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| 作者姓名： | 张帆 韩晓明 陈立峰 李娟 李拴虎 胡博 |
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| 作者单位： | 中国呼和浩特 010051 内蒙古自治区地震局 |
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| 基金项目： | 内蒙古自治区地震局局长基金（2018ZD02）、内蒙古自治区2016年度科技重大专项“重点地区地震预测预警技术研究开发与推广示范”和中国地震局监测预报司2017年度震情跟踪定向跟踪任务面上课题（2017020102）共同资助 |
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| 摘 要： | 使用中国地震台网1970—2017年地震目录，在评估目录完整性和删除余震的基础上，使用最大似然法对鄂尔多斯地块北缘进行b值时空扫描. 扫描结果显示，鄂尔多斯地块北缘的低b值区域主要分布于阿拉善和晋冀蒙地区，低b值区域的空间分布随时间呈现一定变化. 低b值区域与中强地震存在一定的对应关系，对14次震例的回溯性检验显示，其中10次地震发生在低b值区域及其边缘. 使用Molchan图表法和R值评分法对b值时空扫描结果进行预测效能检验，以低于阈值的区域为预测区域，计算不同阈值的漏报率、报准率和时空占有率。Molchan图表法检验结果显示，本文所使用的b值时空扫描方法的预测效果优于泊松分布，最优结果的概率增益达到2，显著性水平达到0.25. R值曲线显示，当阈值为0.8时，达到最高R值0.28，并达到97.5%置信水平.
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| 关 键 词： | b值 时空扫描 预测效能 Molchan图表法 鄂尔多斯地块北缘 |
| 收稿时间： | 2018-02-04 |
Spatio-temporal characteristics of b value in the northern margin of Ordos block and its earthquake prediction efficiency |
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| Institution: | Earthquake Agency of Inner Mongolia Autonomous Region，Hohhot 010051，China |
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| Abstract: | Using earthquake catalogue of China Earthquake Networks Center from 1970 to 2017, the b values of the north edge of Ordos block were scanned by the maximum likelihood method after evaluating completeness and deleting aftershocks. The results show that the low b value region of the north margin of Ordos block is mainly distributed in the Alxa area and the Shanxi-Hebei-Inner Mongolia area, and the spatial distribution of low b value region changes with time to a certain extent. Meanwhile, there is a certain corresponding between the low b value region and the location of moderate-strong earthquakes. The retrospective test of 14 earthquake cases shows that ten earthquakes occurred in the low b value regions and their edges, and four earthquakes occurred beyond the low b value region. And then Molchan chart method and R value scoring method were used to test the prediction efficiency of b value spatio-temporal scanning. Taking the area below the threshold as the predicted area, the missing rate, the hit rate and the spatio-temporal occupation rate of different thresholds were calculated. The result of Molchan chart test shows that the prediction efficiency of spatio-temporal scanning is better than that of Poisson distribution, the probability gain of the optimal result reached 2, and the significance level reached 0.25. The R value curve shows that the highest R value is 0.28 at the threshold of 0.8 with 97.5% confidence level. |
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