Meteorology Commons^™

Stochastic Models For Precipitation, Peter Purdue, Z. Govindarajulu

KWRRI Research Reports

In this project a stochastic model, using Semi-Markov Processes, was developed to simulate daily rainfall patterns in Kentucky. This model contains many of the currently used models as special cases and is applicable at any station in Kentucky as well as elsewhere.

For use in Kentucky an 8 state Semi-Markov Process is developed and the parameters of the model are determined from historical rainfall data. The model is tested at 4 different stations in Kentucky and the simulated and actual rainfall processes are found to be in good agreement. Finally some long run probabilities are calculated as well as mean …

Laboratory Simulation Of Rainfall Erosivity For Gully Formation Study, T. Y. Kao

KWRRI Research Reports

The objective of this study was to develop a rainfall simulator, which imparts to the laboratory rainfall the more important characteristics of natural rainfall such as intensity, drop spectrum, kinetic energy, and momentum at impact, for using in soil erosion research with better results. In developing this simulator the better features of the basic types of earlier simulators, drip and nozzle, have been incorporated into this single design. The simulator developed in this study consists of a number of individual box modules placed in a rectangular pattern to form a single unit. Each module has a grid of capillary holes …