Fuzzy-GA Approach for Estimating Rainfall over Upper ChiMun Basins of Thailand

The present study examines the fuzzy sets model for computing rainfall over the Upper Chi-Mun basins in the Northeastern region of Thailand based on historical weather data from five stations’ rain gauges under the radar umbrella, temperature, relative humidity, and radar reflectivity. Data were collected during June 2009 to August 2009 of the rainfall reflectivity record from the Royal Rainmaking Research Centre at Pimai, Nakhon Ratchasima Province, and for the surface rainfall, automatic rain gauges were used. The results showed that the Fuzzy-GAs model could be used effectively to estimate rainfall given only three parameters: temperature, relative humidity and radar reflectivity. Furthermore, the results show that the genetic algorithm calibration provided the optimal conditions of the membership function. The simulation results indicated that the results of the Fuzzy-GA model were close to the observed rainfall data more than the results of a multiple linear regression model for both calibration and validation processes. Consequently, we are confident that a Fuzzy-GA model is a useful tool for estimating rainfall.