Model of Forest Hydrology Based on Wavelet Analysis
This investigation proposes a new approach for establishing the relationship between rainfall and runoff, as a function of forest coverage by wavelet-based analysis. First, the Db4 discrete wavelet transform is used to decompose the rainfall and runoff time series to obtain wavelet coefficients at multi-resolution level. The results show that trends of rainfall and runoff were similar. However, runoff did not always follow the trend of rainfall, as it was also influenced by other factors. Second, these wavelet coefficients are applied to model. The results show that potential impacts of forest coverage on hydrological response are of significant importance in Lao Shi-Kan watershed. Runoff decreases as vegetation coverage increases.
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