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《Hydrological Processes》杂志刊登“径流数据在尺度和相关结构上的季节和空间变化”
发布时间: 2013-08-01   来源:

《Hydrological Processes》杂志刊登“径流数据在尺度和相关结构上的季节和空间变化”

作者:Mehmet Özger, Ashok K. Mishra1, Vijay P. Singh

刊物:Hydrological Processes,2013年,27卷12期,1681–1690页

关键词: 多尺度;持久性;关联维数;径流

摘要: 本文研究的是日径流数据在尺度、相关性和小波方差参数上的季节和空间变化,研究所使用的数据来自于位于两个不同的气候带的五大盆地的56个水文站。多重分形的时间尺度特性采用乘法级联模型进行检测。小波方差参数产生径流时间序列的持久性。研究表明,季节变化具有重要意义,因为在冬季和春季,大规模的锋面占主导,与夏秋两季相比,冬春季表现出较高的长期相关性和较少的多重分形。相关的空间变化也很明显。内奇斯流域位于中亚热带湿润气候区,与其他流域相比,它具有很高的持久性和长期相关性以及较少的多重分形。研究发现,较大的排水区域往往有较小的多重分形和更高的持久性结构,这种趋势在降雨量大的地方很明显,而在干旱地区则会减少。

Seasonal and spatial variations in the scaling and correlation structure of streamflow data

Authors: Mehmet Özger, Ashok K. Mishra1, Vijay P. Singh

Journal: Hydrological Processes,Volume 27, Issue 12, pages 1681–1690, June 2013

Keywords:  multiscaling; persistence; correlation dimension; streamflow

Abstract:Seasonal and spatial variability in scaling, correlation and wavelet variance parameter of daily streamflow data were investigated using 56 gauging stations from five basins located in two different climate zones. Multifractal temporal scaling properties were detected using a multiplicative cascade model. The wavelet variance parameter yielded persistence properties of the streamflow time series. Seasonal variations were found to be significant in that winter and spring seasons where large-scale frontal events are dominant showed higher long-term correlations and less multifractality than did summer and fall seasons. Coherent spatial variations were apparent. The Neches River basin located in a subtropic humid climate zone exhibited high persistence and long-term correlation as well as less multifractality as compared with other basins. It is found that larger drainage areas tend to have smaller multifractality and higher persistence structure, and this tendency becomes apparent in regions that receive large amounts of precipitation and decreases towards arid regions.

原文链接:http://onlinelibrary.wiley.com/doi/10.1002/hyp.9314/abstract

翻译:张大茹
 
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