Abstract
Passive surface wave methods have been widely used to reconstruct velocity structures on different scales. The methods are becoming increasingly popular in urban areas because of the urgent needs of urban development. Unlike years of recordings on continental scales, the duration of recordings in urban areas usually lasts only for hours, even minutes. Thanks to huge amounts of cultural noise, especially from traffic, passive surface wave methods have proved their efficiency in urban areas, even with relatively short-time recordings. However, data needs to be processed more carefully for obtaining valuable information with limited recordings. Based on the characteristic of surface waves in − domain, we propose a formula to assess the intensity of surface waves in a linear array, thereby forming an automated data selection algorithm by selecting those segments with energetic surface waves. Results of a real-world example demonstrated the procedures of the proposed algorithm, and its effectiveness and reliability are therefore validated.
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