The use of quantile and logistic regression models for minimum of VS30 conditioned on geology and topography in Turkiye

Date

2024-7-25

Author

Jalehforouzan, Amir

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The main goal of this research is to develop regression models which can be used in the development of proxy-based Vs30 maps for Türkiye, so that the effect of site conditions can be considered in rapid earthquake damage and loss estimations. Using the dataset provided by AFAD, and the geological and topographical classifications developed within the project UDAP-Ç-20-01, this study explores quantile regression and logistic regression models to obtain probabilistic conditional estimations of Vs30 depending on geological and topographical properties. The geological class is found to be the prominent estimator for Vs30, and the topographical gradient contributes to the predictions secondarily.

Subject Keywords

Proxy-Based Vs30 Prediction, Quantile Regression Model, Logistic Regression Model, Geological and Topographical Properties

URI

https://hdl.handle.net/11511/112324

Collections

Graduate School of Natural and Applied Sciences, Thesis