本研究應用具有多分辨分析功能之小波轉換於台灣地區降雨量時空變異特性分析之研究，以探討由於氣候變遷的緣故，導致近年來台灣各地區的降雨量在時間與空間上的變化。就時間－頻率觀點而言，任一水文時間序列均含有多種頻率成分，每一成分皆有其自身之制約因素與發展演變規律。單從水文時間序列本身出發建構模式，勢必難以詳細掌握水文時間序列之內在動力機制，因此實有必要對水文時間序列執行進行多分辨層研究，而小波分析適可提供一種便捷之多分辨分析技術。本研究蒐集台灣地區具代表性之雨量站資料，加以建檔研析，應用具有多分辨分析功能之小波轉換理論，以探討降雨量資料之多時間尺度，並完成降雨量之時空變異特性分析，臻以提供水資源規劃應用之參考。

Due to climate change, spatial and temporal variability of rainfall occur in Taiwan. This study plans to apply the wavelet transforms with the capability of multi-resolution analysis to discuss the spatial and
temporal variability of rainfall in Taiwan. From the standpoint of
time-frequency, each hydrological time series contained many frequency
components which had their restricted factors and developed rules. Using
only one resolution component to model the hydrological time series is
difficult to understand the internal mechanism. It is necessary to apply the wavelet-based multi-resolution analysis to the modeling of hydrological time series. This study collects the data of representative rainfall stations in Taiwan. The rainfall data can be employed to establish files and study. Applying the wavelet theory with multi-resolution characteristics can probe into the multiple time scales of rainfall and discuss the spatial and temporal variability of rainfall in Taiwan. The above results can provide the reference for water resources planning and application.