A Meteorological Drought Migration Model for Assessing the Spatiotemporal Paths of Drought in the Choushui River Alluvial Fan, Taiwan

Hsin-Fu Yeh, Xin-Yu Lin, C. Huang, Hsin-Yu Chen
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Abstract

Understanding drought evolution and its driving factors is crucial for effective water resource management and forecasting. This study enhances the analysis of drought probability by constructing bivariate distributions, providing a more realistic perspective than single-characteristic approaches. Additionally, a meteorological drought migration model is established to explore spatiotemporal paths and related characteristics of major drought events in the Choushui River alluvial fan. The results reveal a significant increase in the probability of southward-moving drought events after 1981. Before 1981, drought paths were diverse, while after 1981, these paths became remarkably similar, following a trajectory from north to south. This is primarily attributed to the higher rainfall in the northern region of the Choushui River alluvial fan from February to April, leading to a consistent southward movement of drought centroids. This study proposes that climate change is a primary factor influencing changes in the spatiotemporal paths of drought. It implies that changes in rainfall patterns and climate conditions can be discerned through the meteorological drought migration model. As a result, it provides the potential for simplifying drought-monitoring methods. These research findings provide further insight into the dynamic process of drought in the Choushui River alluvial fan and serve as valuable references for future water resource management.
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用于评估台湾浊水溪冲积扇干旱时空路径的气象干旱迁移模型
了解干旱演变及其驱动因素对于有效的水资源管理和预测至关重要。本研究通过构建双变量分布,加强了对干旱概率的分析,提供了比单一特征方法更真实的视角。此外,还建立了气象干旱迁移模型,以探索洈水冲积扇重大干旱事件的时空路径和相关特征。结果表明,1981 年以后,干旱事件南移的概率明显增加。1981 年之前,干旱路径多种多样,而 1981 年之后,这些路径变得非常相似,都遵循着由北向南的轨迹。这主要是由于 2 月至 4 月间舟水河冲积扇北部地区降雨较多,导致干旱中心点持续南移。本研究提出,气候变化是影响干旱时空路径变化的主要因素。这意味着,降雨模式和气候条件的变化可以通过气象干旱迁移模型来辨别。因此,它为简化干旱监测方法提供了可能。这些研究成果进一步揭示了洈水冲积扇干旱的动态过程,为今后的水资源管理提供了有价值的参考。
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