https://scholars.lib.ntu.edu.tw/handle/123456789/463544
標題: | Analysis of space-time patterns of rainfall events during 1996-2008 in Yilan County (Taiwan) | 作者: | HWA-LUNG YU Chen, Bo-Lin Chiu, Chuan-Hung LU MONG-MING CHING-PIN TUNG |
關鍵字: | Precipitation classification; Rainfall process; Space–time classification | 公開日期: | 2014 | 卷: | 29 | 期: | 3 | 起(迄)頁: | 929-945 | 來源出版物: | Stochastic Environmental Research and Risk Assessment | 摘要: | Understanding local precipitation patterns is essential to water resource management and flood mitigation. Precipitation patterns can vary in space and time depending on factors from different spatial scales such as local topographical changes and macroscopic atmospheric circulation. This study applied the two-stage classification method to distinguish the space–time patterns of local precipitations in the two identified distinct synoptic conditions, i.e. summer and autumn, from 24 gauges during 1996–2008 in Yilan County, Taiwan. The proposed method classifies the synoptic and local conditions for the space–time rainfall patterns by using K-means coupled with empirical orthogonal function analysis, and hierarchical ascending clustering method respectively. The proposed two-stage classification method considers not only the magnitude and the space–time distribution of rainfall events, but also the associated synoptic conditions. The results identified three primary patterns of extreme and two patterns of normal events in both seasons. Regarding the extreme events from typhoons, wind directions and the frontal accompanied effect are major contributors to the magnitude and spatial distribution of rainfall events in the summer and autumn, respectively. Spatiotemporal covariance structures are used to characterize the variability of normal events, showing the increasing frequency of wide spatial and temporal ranges from the summer to autumn. In summary, the proposed classification analysis provides patterns associated with distinct underlying physical mechanisms and space–time characteristics. The general characteristics of rainfall patterns can provide insights for the hydrological modeling of local catchments under different climatic scenarios. © 2014, Springer-Verlag Berlin Heidelberg. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/463544 | DOI: | 10.1007/s00477-014-0928-x | SDG/關鍵字: | Catchments; Electric breakdown; Hierarchical clustering; K-means clustering; Orthogonal functions; Water management; Atmospheric circulation; Classification analysis; Classification methods; Empirical orthogonal function analysis; Precipitation patterns; Rainfall process; Spatiotemporal covariance; Waterresource management; Rain |
顯示於: | 生物環境系統工程學系 |
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