We attribute these discrepancies to the limited number of stations in the area. the computational cost of the UKI is primarily dictated by the size of the model ensembles associated with the sigma points multiplied by the number of iterations. With 19 model parameters, UKI conducts 39 model evaluations in each iteration, and we run 10 iterations to obtain the final result, thus processing 380 model evaluations in each prior setting. Through extensive testing, it demonstrates that UKI requires minimal prior information about S-wave velocity for joint inversion of RF and SWD, although some prior means regarding layer thickness are necessary. Conversely, the trans-dimensional methods excel in this aspect, they do not require specific layer counts but allows for a general range. Where \mu_n represent mean and covairan of Gaussian distribution pn in the nth iteration, \mu_n+1,C_n+1 denote the updates in the n+1th iteration.

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