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Abstract
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Article Information:
Using Wavelet Analyses to Determine Drought Characteristics: A Cause Study of Western Jilin Province, China
She-Ming Chen, Wen-Xi Lu, He Wang and Zhu Kang
Corresponding Author: Wen-Xi Lu
Submitted: January 05, 2013
Accepted: January 31, 2013
Published: August 05, 2014 |
Abstract:
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Drought characteristics vary substantially among different climatic regions. Here in this study, wavelet analyses are used to characterize drought from monthly precipitation. The precipitation data are obtained from 6 fairly distributed stations across Western Jilin province (in China) for the period from 1957 to 2010. The calculated monthly Standardized Precipitation Index (SPI) is used as a drought index. Morlet wavelet analysis shows multiple time-scales and significant cycles of drought exist in the study area. The cross wavelet approach was applied to see if there was a connection between monthly SPI time series and large scale climate indices, such as NINO3. The result shows that drought occurrence in the region is mainly influenced by medium and long-time climatic factors. However, different factors have degrees of influence at different stations.
Key words: Drought characteristics, multifractal analysis, standardized precipitation index, wavelet analysis, western Jilin province, ,
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Cite this Reference:
She-Ming Chen, Wen-Xi Lu, He Wang and Zhu Kang , . Using Wavelet Analyses to Determine Drought Characteristics: A Cause Study of Western Jilin Province, China. Research Journal of Applied Sciences, Engineering and Technology, (5): 578-584.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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