Abstract
Two simple stochastic models of spatially varying ground motion are established and calibrated from strong motion array data at four sites in Shizuoka Prefecture, Japan. These adopt a stationary random field model of each event's ground displacement in time and space. These models are applied to estimate maximum relative displacement between two points on the ground surface. Good agreement is found with observed relative displacement, both root mean square values and maximum values.
