Ground-motion Prediction Equations for Southern Spain and Southern Norway Obtained Using the Composite Model Perspective
نویسندگان
چکیده
In this paper, two sets of earthquake ground motion relations to estimate peak ground and response spectral acceleration are developed for sites in southern Spain and in southern Norway using a recently published composite approach. For this purpose seven empirical ground motion relations developed from recorded strong-motion data from different parts of the world were employed. The different relations were first adjusted based on a number of transformations to convert the differing choices of independent parameters to a single one. After these transformations, which include the scatter introduced, were performed, the equations were modified to account for differences between the host and the target regions using the stochastic method to compute the host-to-target conversion factors. Finally functions were fitted to the derived ground motion estimates to obtain sets of seven individual equations for use in probabilistic seismic hazard assessment for southern Spain and southern Norway. The relations are compared with local ones published for the two regions. The composite methodology calls for the setup of independent logic trees for the median values and for the sigma values, in order to properly separate between epistemic and aleatory uncertainties after the corrections and the conversions.
منابع مشابه
Prediction of the vegetation management impacts on reduction of wind erosion risk in the southern parts of the Varamin Plain, Iran
Wind erosion is a major environmental issue affecting land resources and socio-economic settings in Iran. This paper outlines a study undertaken to provide a new tool to manage wind erosion from physical and economic perspectives. The southern part of the Varamin Plain in south of Tehran is used as a case study. The focus of this study is on exploring the economic and physical impacts of 16 veg...
متن کاملA simple model for prediction of annual precipitation in the southern and western provinces of I.R.Iran
متن کامل
Large amplitude vibration prediction of rectangular plates by an optimal artificial neural network (ANN)
In this paper, nonlinear equations of motion for laminated composite rectangular plates based on the first order shear deformation theory were derived. Using a perturbation method, the nonlinear equation of motion was solved and analytical relations were obtained for natural and nonlinear frequencies. After proving the validity of the obtained analytical relations, as an alternative and simple ...
متن کاملInvestigation and Prediction of Iranian Drought Using Composite Indices
In recent years, Iran in Southwest Asia it has been affected by drought. The purpose of the present study is to analyze and forecast drought in Iran. For this research at first, the precipitation and temperature climatic parameters over a 29 year period (1990- 2018) at 30 stations in Iran Collected. For modeling, the M.S.S fuzzy index, at first uses three indices (SET, SPI, MCZI) using fuzzy lo...
متن کاملStatistical modeling of the association between pervasive precipitation anomalies in Southern Alburz and global ocean-atmospheric patterns
Precipitation patterns are influenced by many factors, such as global atmospheric circulations to name but one. Precipitation patterns in Iran have always had great fluctuations even in a smaller scale like the Alburz Mountain Range. The present research has tried to find the relationship between global atmospheric patterns and the pervasive precipitation ones in Alburz. For doing so, 17 climat...
متن کامل