应用频谱分析对以色列当地事件进行采石场爆炸和微地震的鉴别
Discrimination between quarry blasts and micro-earthquakes using spectral analysis, applied to local Israeli events
摘要：
这项研究提出了频谱调制的概念和时间-频率分析，适用于宽带本地（$5<Δ<200$公里）地震资料从采石场爆炸和微震，请提供的石油研究和地球物理研究所（IPRG），Holon，以色列，从所谓的GIF阵列。本研究的目的是通过识别振幅谱中的扇形趋势来验证纹波发射，从而区分采石场爆炸和其他事件。大多数采石场爆炸是涟漪发射，在以色列北部露天矿爆炸，因此，事件的识别方法的基础上识别的涟漪发射模式的信号被选中。本文提出的方法也可用于勘探地震学中的反褶积和去混响。
英文摘要：
This study presents the concept of spectral modulation and a time-frequency analysis, applied to broadband local ($5<Δ<200$ km) seismic data from quarry blasts and micro-earthquakes, kindly supplied by the Institute for Petroleum Research and Geophysics (IPRG), Holon, Israel, from the so-called GIF-array. The aim of this research is verification of ripple-firing by recognition of scalloping trends in amplitude-spectra and hence discriminating quarry blasts from other events. Most quarry blasts are ripple-fired, in northern Israel open pit blasts; consequently the event discrimination method based on the recognition of ripple-firing patterns in the signal was chosen. The methods presented in this dissertation might also be applicable for deconvolution and dereverberation purposes in exploration seismology.
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