Continue Wavelet Transform's Analysis in Zhuji Station's Rainfall Sequence Transformation

Article Preview

Abstract:

In this paper, it uses continuous wavelet transform in analysing zhuji station monthly rainfall. from the transformed wavelet coefficients’ real component, variance and modulus square, we can get the main measure contained in zhuji’s monthly rainfall sequence. By anlysing the transformation process of continuous wavelet transform coefficien’s real part of various scales, we can get zhuji station’s monthly rainfall sequence wet-dry transformation process of various scales. By caculated , we found zhuji station’s monthly rainfall sequence contains 10 month , 171 month and 393 month scale. In large scales, zhuji station’s rainfall is in hemiplegia period from 2013 to 2021. in small scale, zhuji station’s rainfall shifts strongly.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

708-711

Citation:

Online since:

July 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Wang Wen-sheng, DING Jing, LI Yueqing Hydrology wavelet analysis [M]. Beijing: Chemical Industry Press, (2005).

Google Scholar

[2] ZHANG Dai Qing, GAO Jun Province. Based on Wavelet Analysis Cycle of the Yellow River Runoff [J]. Irrigation and Drainage, 2007, (03).

Google Scholar

[3] Liu xiao An. Wavelet analysis in runoff analysis and forecasting[C]. Huazhong University of Science and Technology, (2006).

Google Scholar

[4] Zhang xue Zhen, Liu Yan. wavelet analysis of Bahe runoff sequence variation [J]. Water Resources Protection, 2006, (03).

Google Scholar

[5] Zhang Defeng. MATLAB wavelet analysis. Machinery Industry Press [M], (2009).

Google Scholar