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It is widely known that seismic shear‐wave velocity is one of the most important parameters in site characterization studies. In some instances, it is necessary to determine shear‐wave velocity indirectly from common in situ tests, such as the cone penetration test. There are numerous earlier studies showing this possibility. In this study, the relation between shear‐wave velocity and subsoil geotechnical properties, e.g., cone‐tip resistance and sleeve friction from cone penetration test is reinvestigated in a study area located in Eskisehir, Turkey. New polynomial models are proposed for the correlation. A total of 437 samples extracted from 37 sites made of clay, sand, sand‐clay mixture, and miscellaneous soil types have been used. We compare our results involving polynomial fitting with earlier results of statistical correlation using power‐law or logarithmic relations between shear‐wave velocity and cone‐tip resistance or sleeve friction. The predicted values using our model are checked against the measured ones to evaluate the performance of the polynomial model. The results suggest that the newly proposed approach provides a means for recognizing more efficiently the patterns in the data and reliably predicting the shear‐wave velocity. Additionally, the sensitivity analysis reveals the influence of parameters and the contribution of each coefficient in the polynomial model. Cone penetration test cone‐tip resistance relates more strongly than sleeve friction to shear‐wave velocity. The intercept term in the polynomial is of primary importance in such correlation, for all soil types.

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Today, geotechnical and geophysical techniques are used for landslide evaluation. Geotechnical methods provide accurate data, but are time consuming and costly. Geophysical techniques, however, are fast and inexpensive, yet their accuracy is lower than that of the geotechnical methods. Therefore, simultaneous use of geotechnical and geophysical methods provides a suitable solution for landslide evaluation. Availability of geotechnical and geophysical data makes it possible to investigate correlation between different parameters. Correlating geotechnical and geophysical parameters ends up lowering field investigation costs and enhancing subsurface survey speed in a landslide zone. In the present study, in order to evaluate Nargeschal landslide in Iran, ambient noise measurement, ERT survey, and geotechnical investigations were used. Once finished with data processing, the data obtained from geotechnical and geophysical investigations were correlated. These included SPT-N – electrical resistivity, soil moisture content – electrical resistivity, and SPT-N – shear wave velocity correlations. The correlations were examined using two methods, namely Spearman’s coefficient test and least square regression analysis. The results obtained from the two methods were in good agreement with one another. The correlations obtained in this study were of moderate to very strong strength and fell in the range of the results of previous studies. Investigation of the results indicated significant influences of ground water on electrical resistivity and soil stiffness on shear wave velocity. Results of this study can be used for soil classification and determination of mechanical and seismic characteristics of soil across various areas.