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This article investigates the influence of the key preprocessing parameters on the quality of the dispersion image obtained from the active Multichannel Analysis of Surface Waves (MASW) survey. Dispersion image of best resolution is a necessity to obtain meaningful and reliable outcome from active MASW survey. Based on the field experiments conducted at two different sites, having varying site characteristics, the effects of sampling frequency, sampling length, filtering and muting are highlighted on achieving a high resolution dispersion image. It is observed that the sampling time is site dependent, and there exists an optimal combination of sampling time and sampling frequency to produce good quality dispersion images. Optimal sampling time should allow for completion of phase propagation through the receiver array, while discarding noise adulteration arising due to excessive sampling. Frequency filtering of the signals is essential to remove adulterating noises, the range of which can be decided by the normalized amplitude spectra. Based on the application of various filters, Band-pass filtering is noted to be the best in obtaining a high resolution dispersion image, followed by the High-cut filter which produces a truncated dispersion image. Muting should be optimal without the loss of significant energy content and careful removal of noise adulteration. Muting on unfiltered wavefield records produces aliasing effects in the dispersion images, and hence, combined application of optimal muting on band-pass filtered wavefields should be used to produce a refined dispersion image of a high resolution.

Influence of data acquisition and signal preprocessing parameters on the resolution of dispersion image from active MASW survey