2016年安徽无为MS3.0震群序列发震构造与震后趋势研究     

倪红玉  刘泽民  洪德全  赵朋  汪小厉 《中国地震》2017,33(3):365-373

首先通过模板匹配方法检测无为震群活动期间目录遗漏的地震事件,共识别出5次遗漏地震事件,震级为M_L0.5～1.2,得到了更为完整的地震目录;然后基于波形互相关震相检测技术标定震相到时,进而采用双差定位方法进行精定位,精定位后震群分布更加集中,未见明显的优势方位分布;采用Snoke方法计算震级较大地震的震源机制,结果表明,此次震群为NEE向的水平挤压与NNE向的水平拉张应力场作用下具逆冲分量的走滑型地震活动,严家桥-枫沙湖断裂可能为其发震构造;最后,计算了震群序列的视应力,结果显示,视应力和扣除震级影响后的差视应力随着震群序列的衰减逐渐恢复,因此,分析认为,随着无为震群序列的衰减,震源区发生更大地震的可能性不大。  相似文献   

地闪对崇明地震台地球物理观测的干扰     

朱培育  戴乐翔  张艺  魏薇  赵俊香  朱佳苗  施俊杰  毕波  倪友忠 《地震地磁观测与研究》2018,40(1):91-95

通过对比崇明地区地闪及崇明地震台地球物理观测资料,发现受地闪引起的电磁场变化的直接作用或对仪器元件的间接作用,地磁、地电、电磁扰动和水位观测干扰比例较高,干扰幅度与地闪距离及形成的电流强度有关。具体干扰形态如下：①对电磁扰动干扰表现为单向突跳和测值的整体抬升;②对地磁测项干扰表现为正负方向的单点突跳;③对大地电场干扰表现为大幅震荡;④对水位观测干扰表现为大幅突跳。  相似文献   

OIPC和RCWIP降水氢氧稳定同位素数据在新疆天山地区的适用性     

石玉东  王圣杰  张明军  李昱锋  宋洋 《冰川冻土》2020,42(3):974-985

降水中氢氧稳定同位素的空间分布是同位素水文学和同位素生态学研究的基础资料, 近年来高空间分辨率的氢氧稳定同位素分布数据产品获得了越来越多的重视。利用新疆天山地区实测降水同位素数据, 评估两套常用的全球降水同位素分布模拟数据（OIPC和RCWIP）的适用性。结果表明： 从时间尺度来看, 两套产品在夏半年（4 - 10月）的模拟效果明显优于冬半年（11月 - 次年3月）; 在各自然区中, 准噶尔盆地荒漠自然区的模拟效果相对较好, 而吐鲁番盆地-哈密（戈壁）荒漠自然区模拟效果相对较差。通过均方根误差、 线性判定系数、 平均偏置误差、 平均绝对误差等指标的比较, 在本研究区内RCWIP数据产品对降水同位素值的模拟效果比OIPC的效果好。结合乌鲁木齐多年降水氢氧稳定同位素数据, 发现降水同位素年际变化差异并未明显影响到代表性, 在缺乏长期监测的情况下这两套数据仍有重要的使用价值。  相似文献   

A high accurate automated first-break picking method for seismic records from high-density acquisition in areas with a complex surface     

Yinpo Xu  Cheng Yin  Xuefeng Zou  Yudong Ni  Yingjie Pan  Liangjun Xu 《Geophysical Prospecting》2020,68(4):1228-1252

As the application of high-density high-efficiency acquisition technology becomes more and more wide, the areas with complex surface conditions gradually become target exploration areas, and the first-break picking work of massive low signal-to-noise ratio data is a big challenge. The traditional method spends a lot of manpower and time to interactively pick first breaks, a large amount of interactive work affects the accuracy and efficiency of picking. In order to overcome the shortcoming that traditional methods have weak anti-noise to low signal-to-noise ratio primary wave, this paper proposes a high accurate automated first-break picking method for low signal-to-noise ratio primary wave from high-density acquisition in areas with a complex surface. Firstly, this method determines first-break time window using multi-azimuth spatial interpolation technology; then it uses the improved clustering algorithm to initially pick first breaks and then perform multi-angle comprehensive quality evaluation to first breaks according to the following sequence: ‘single trace → spread → single shot → multiple shots’ to identify the abnormal first breaks; finally it determines the optimal path through the constructed evaluation function and using the ant colony algorithm to correct abnormal first breaks. Multi-azimuth time window spatial interpolation technology provides the base for accurately picking first-break time; the clustering algorithm can effectively improve the picking accuracy rate of low signal-to-noise ratio primary waves; the multi-angle comprehensive quality evaluation can accurately and effectively eliminate abnormal first breaks; the ant colony algorithm can effectively improve the correction quality of low signal-to-noise ratio abnormal first breaks. By example analysis and comparing with the commonly used Akaike Information Criterion method, the automated first-break picking theory and technology studied in this paper has high picking accuracy and the ability to stably process low signal-to-noise ratio seismic data, has a significant effect on seismic records from high-density acquisition in areas with a complex surface and can meet the requirements of accuracy and efficiency for massive data near-surface modelling and statics calculation.  相似文献