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首页> 外文期刊>Journal of Hydroinformatics >Entropy-based analysis and regionalization of annual precipitation variation in Iran during 1960-2010 using ensemble empirical mode decomposition
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Entropy-based analysis and regionalization of annual precipitation variation in Iran during 1960-2010 using ensemble empirical mode decomposition

机译：基于熵的整体经验模式分解基于熵的1960-2010年伊朗年降水量变化分析及分区

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摘要

This study proposes an ensemble empirical mode decomposition (EEMD)-based multiscale entropy (EME) approach. The proposed model is used to analyze and gage variability of the annual precipitation series and spatially classify raingauges in Iran. For this end, historical annual precipitation data during 1960–2010 from 31 raingauges are decomposed using EEMD. Decomposed series of precipitation series present different periods and trends. Next, entropy concept is applied to the components obtained from EEMD to measure dispersion of multiscale components. It is observed that entropy values of intrinsic mode functions (IMFs) 1–5 and residual component show different behaviors. IMF 5 and residual components have highest values of entropy, whereas IMF 3 and 4 present highest entropy variation among all components. Based on spatial distribution of EME values, EME 3 and 1 have a downward variation from north to south, whereas EME 1 presents increasing variation. Spatial classification of raingauges is performed using EME values as input data to self-organizing map (SOM) and k-means clustering techniques. Finally, spatial structure of annual precipitation variation is investigated. It is observed that EME values have a downward trend with latitude, whereas it is observed that EME shows an upward relationship with longitude in Iran.
机译：这项研究提出了基于整体经验模式分解（EEMD）的多尺度熵（EME）方法。所提出的模型用于分析和测量伊朗年降水量序列的变异性，并对雨量计进行空间分类。为此，使用EEMD分解了1960-2010年间31个雨量计的历史年度降水量数据。降水序列的分解序列呈现出不同的时期和趋势。接下来，将熵概念应用于从EEMD获得的分量，以测量多尺度分量的离散度。可以观察到，固有模式函数（IMF）1-5和残差分量的熵值表现出不同的行为。 IMF 5和剩余成分的熵值最高，而IMF 3和4在所有成分中的熵值变化最大。根据EME值的空间分布，EME 3和1从北到南有向下的变化，而EME 1则有增加的变化。使用EME值作为自组织图（SOM）和k均值聚类技术的输入数据，对雨量计进行空间分类。最后，研究了年降水量变化的空间结构。可以看出，在伊朗，EME值随纬度呈下降趋势，而在伊朗，EME与经度呈上升关系。

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