Abstract
Flood is one of the main disasters which cause rice damage in many countries. In this paper we investigate the risk of rice damaged due to flood by analyzing its statistical property and deterministic behavior from the thirty-six years of data in Taiwan. First, we calculate the Jarque–Bera coefficient, skewness, and kurtosis to see that the rice damage is not a normal distribution. Next, we use the correlation dimension (CD) and statistical correlation dimension (SCD) to see that both of the time series of flood and associated damages show the chaotic behavior. Finally, we also use the Hurst rescaled range analysis to confirm the properties. The results we found are useful in the risk estimate of rice damaged due to flood.
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