Drought Risk Assessment in Yunnan Province of China Based on Wavelet Analysis

Joint Authors

Jia, HuiCong
Pan, DongHua

Source

Advances in Meteorology

Issue

Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2015-12-31

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Physics

Abstract EN

A wavelet transform technique was used to analyze the precipitation data for nearly 60 years (1954–2012) in Yunnan Province of China.

The wavelet coefficients and the variance yield of wavelet were calculated.

The results showed that, in nearly 60 years, the spring precipitation increased slightly; however, the linear trend of other seasonal and annual precipitations showed a reducing trend.

Seasonal and annual precipitation had the characteristics of multiple time scales.

Different time scales showed the different cyclic alternating patterns.

Overall, in the next period of time, different seasons and the annual precipitation will be in the periods of precipitation-reduced oscillation; high drought disaster risks may occur in Yunnan province.

Particularly, by analyzing large area of severe drought of Yunnan province in 2009–2012, the predicted results of wavelet were verified.

The results may provide a scientific basis for guiding agricultural production and the drought prevention work for Yunnan Province and other places of China.

American Psychological Association (APA)

Jia, HuiCong& Pan, DongHua. 2015. Drought Risk Assessment in Yunnan Province of China Based on Wavelet Analysis. Advances in Meteorology،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1095355

Modern Language Association (MLA)

Jia, HuiCong& Pan, DongHua. Drought Risk Assessment in Yunnan Province of China Based on Wavelet Analysis. Advances in Meteorology No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1095355

American Medical Association (AMA)

Jia, HuiCong& Pan, DongHua. Drought Risk Assessment in Yunnan Province of China Based on Wavelet Analysis. Advances in Meteorology. 2015. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1095355

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1095355