Abstract:
The present study examines the fuzzy sets model for
computing rainfall over the Upper
Chi-Mun basins in the Northeastern region of Thaila
nd based on historical weather data
from five stations’ rain gauges under the radar umb
rella, temperature, relative humidity,
and radar reflectivity. Data were collected during
June 2009 to August 2009 of the rainfall
reflectivity record from the Royal Rainmaking Resea
rch 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 us
ed effectively to estimate rainfall
given only three parameters: temperature, relative
humidity and radar reflectivity.
Furthermore, the results show that the genetic algo
rithm calibration provided the optimal
conditions of the membership function. The simulati
on results indicated that the results of
the Fuzzy-GA model were close to the observed rainf
all data more than the results of a
multiple linear regression model for both calibrati
on and validation processes.
Consequently, we are confident that a Fuzzy-GA mode
l is a useful tool for estimating
rainfall.
Keywords:
Fuzzy set, Genetic algorithm, Optimization techniqu
e, Radar reflectivity.
