传感器台网布设对震源定位的影响规律及机制研究

来源 :中国矿业大学学报 | 被引量 : 0次 | 上传用户:labidax
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开展了不同传感器台网震源定位实验,分析了不同传感器台网布设下的震源定位误差分布规律,研究了震源定位双曲线域的非均匀特性,揭示了传感器台网对震源定位的作用机制.研究表明:传感器台网同时影响震源定位求解系统的稳定性和定位精度,而且传感器台网对震源定位结果的影响具有非均匀性;监测区域中不同位置的震源定位精度和稳定性各不相同,传感器台网内部的震源定位精度和稳定性都高于外部震源;随着震源远离台网中心,定位精度和稳定性都呈下降趋势,且当震源到达传感器台网边缘和台网外部的区域时,震源定位精度和稳定性的下降速率急剧增加;基于震源定位双曲线控制方程研究揭示了震源定位双曲线域的非均匀特性,传感器台网通过放大波速和到时等输入数据误差影响震源定位结果,且震源定位双曲线域的非均匀特性导致传感器台网对输入数据误差的放大效应是非均匀的,这种非均匀的放大效应是震源定位精度和稳定性依赖于震源和传感器台网相对位置的重要原因. The experiment of different source positioning of sensor network was carried out, the distribution rules of source positioning errors under different sensor network layouts were analyzed, the non-uniform characteristics of hyperbolic regions of source positioning were studied, and the mechanism of sensor network positioning on source was revealed. The results show that the sensor network affects both the stability and the positioning accuracy of the source positioning system, and the influence of the sensor network on the positioning results of the source is inhomogeneous. The accuracy and stability of the source positioning in different locations in the monitoring area are different, The accuracy and stability of the source positioning within the network are higher than that of the external source. As the source moves away from the center of the network, the positioning accuracy and stability decrease. When the source reaches the edge of the sensor network and the area outside the network, Based on hyperbolic control equation of source localization, the nonuniformity of hypocenters in the source localization is revealed. The results of hypocenters’ location are affected by errors of input data such as amplifying velocity and arrival time, And the nonuniformity of hypocenters in the source localization leads to sensor station network input According to amplification errors is non-uniform, such non-uniform source amplifying effect is dependent on the precision and stability of positioning the relative positions of source and sensor station network important reason.
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