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Analysis of the Nonlinear Trends and Non-Stationary Oscillations of Regional Precipitation in Xinjiang, Northwestern China, Using Ensemble Empirical Mode Decomposition

1
College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China
2
State Key Laboratory of Mining Disaster Prevention and Control Co-founded by Shandong Province and Ministry of Science & Technology, Shandong University of Science and Technology, Qingdao 266590, China
3
State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
4
Key Laboratory of Surveying and Mapping Technology on Island and Reef, National Administration of Surveying, Mapping and Geoinfomation, Shandong University of Science and Technology, Qingdao 266590, China
5
Key Laboratory of Geographic Information Science Ministry of Education, East China Normal University, Shanghai 200241, China
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Academic Editor: Yu-Pin Lin
Int. J. Environ. Res. Public Health 2016, 13(3), 345; https://doi.org/10.3390/ijerph13030345
Received: 3 December 2015 / Revised: 10 March 2016 / Accepted: 16 March 2016 / Published: 21 March 2016
Changes in precipitation could have crucial influences on the regional water resources in arid regions such as Xinjiang. It is necessary to understand the intrinsic multi-scale variations of precipitation in different parts of Xinjiang in the context of climate change. In this study, based on precipitation data from 53 meteorological stations in Xinjiang during 1960–2012, we investigated the intrinsic multi-scale characteristics of precipitation variability using an adaptive method named ensemble empirical mode decomposition (EEMD). Obvious non-linear upward trends in precipitation were found in the north, south, east and the entire Xinjiang. Changes in precipitation in Xinjiang exhibited significant inter-annual scale (quasi-2 and quasi-6 years) and inter-decadal scale (quasi-12 and quasi-23 years). Moreover, the 2–3-year quasi-periodic fluctuation was dominant in regional precipitation and the inter-annual variation had a considerable effect on the regional-scale precipitation variation in Xinjiang. We also found that there were distinctive spatial differences in variation trends and turning points of precipitation in Xinjiang. The results of this study indicated that compared to traditional decomposition methods, the EEMD method, without using any a priori determined basis functions, could effectively extract the reliable multi-scale fluctuations and reveal the intrinsic oscillation properties of climate elements. View Full-Text
Keywords: ensemble empirical mode decomposition; precipitation; intrinsic mode function; nonlinear characteristics; Xinjiang ensemble empirical mode decomposition; precipitation; intrinsic mode function; nonlinear characteristics; Xinjiang
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Guo, B.; Chen, Z.; Guo, J.; Liu, F.; Chen, C.; Liu, K. Analysis of the Nonlinear Trends and Non-Stationary Oscillations of Regional Precipitation in Xinjiang, Northwestern China, Using Ensemble Empirical Mode Decomposition. Int. J. Environ. Res. Public Health 2016, 13, 345.

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