Abstract
Based on the hydrological and meteorological data in the headwater region of the Kaidu River during 1960–2009, the multi-scale characteristics of runoff variability were analyzed using the ensemble empirical mode decomposition method (EEMD), and the aim is to investigate the oscillation mode structure characteristics of runoff change and its response to climate fluctuation at different time scales. Results indicated that in the past 50 years, the overall runoff of Kaidu River in Xinjiang has showed a significant nonlinear upward trend, and its changes have obviously exhibited an inter-annual scale (quasi-3 and quasi-6-year) and inter-decadal scale (quasi-10 and quasi-25-year). Variance contribution rates of each component manifested that the inter-decadal change had been playing a more important role in the overall runoff change for Kaidu River, and the reconstructed inter-annual variation trend could describe the fluctuation state of the original runoff anomaly during the study period. The reconstructed inter-decadal variability effectively revealed that the runoff for Kaidu River changed over the years, namely the states of abundance and low water period appear alternately. In addition, we found that runoff has a positive correlation to precipitation and temperature at different time scales, but they are most significant and relevant at inter-decadal scale, indicating the inter-decadal scale is most suitable for investigating the responses of runoff dynamics to climate fluctuation. At the same time, the results also suggested that EEMD is an effective method to analyze the multi-scale characteristics of nonlinear and non-stationary signal.
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References
Chen ZS, Chen YN (2014) Effects of climate fluctuations on runoff in the headwater region of the Kaidu river in northwestern China. Front Earth Sci 8(2):309–318
Chen FH, Huang W, Jin LY, Chen JH, Wang JS (2011) Spatiotemporal precipitation variations in the arid central Asia in the context of global warming. Sci China Earth Sci 54(12):1812–1821
Chen ZS, Chen YN, Li BF (2013) Quantifying the effects of climate variability and human activities on runoff for Kaidu River Basin in arid region of northwest China. Theor Appl Climatol 111(3–4):537–545
Franzke CLE (2014) Nonlinear climate change. Nat Clim Chang 4:423–424
Huang NE, Shen SSP (2005) Hilbert-Huang transform and its applications [M]. World Scientific Publishing Company, Singapore
Huang NE, Shen Z, Long SR, Wu MC, Shih HH, Zheng QN, Yen NC, Tung CC, Liu HH (1998) The empirical mode decomposition and the hilbert spectrum for nonlinear and non-stationary time series analysis. Proc R Soc London A: Math Phys Sci 454(1971):903–995
Huang NE, Wu ZH, Long SR, Arnold KC, Chen XY, Blank K (2009). On instantaneous frequency. Adv Adapt Data Anal 1(2): 177--229
IPCC (2013) Climate change 2013: the physical science basis. Cambridge Univ Press, UK
Ji F, Wu ZH, Huang JP, Chassignet EP (2014) Evolution of land surface air temperature trend. Nat Clim Chang 4:462–466. doi:10.1038/nclimate2223
Jiang DB, Su MF, Wei RQ, Liu B (2009) Variation and projection of drought and wet conditions in Xinjiang. Chin J Atmos Sci 33(1):90–98(in Chinese)
Kuo CC, Gan TY, Chan S (2013) Regional intensity-duration-frequency curves derived from ensemble empirical mode decomposition and scaling property. J Hydrol Eng 18(1):66–74
Li QH, Chen YN, Shen YJ, Li XG, Xu JH (2011) Spatial and temporal trends of climate change in Xinjiang, China. Acta Geograph Sin 21(6):1007–1018
Li BF, Chen YN, Shi X (2012a) Why does the temperature rise faster in the arid region of northwest China? J Geophys Res 117:D16115. doi:10.1029/2012JD017953
Li BF, Chen YN, Chen ZS, Li WH (2012b) Trends in runoff versus climate change in typical rivers in the arid region of northwest China. Quat Int 282:87–95
Li BF, Chen YN, Chen ZS, Li WH, Zhang BH (2013) Variations of temperature and precipitation of snowmelt period and its effect on runoff in the mountainous areas of northwest China. J Geogr Sci 23(1):17–30
Li YP, Chen CC, Zhang YQ, Bi SB (2014) The characteristics of drought disasters in Beijing during the Ming Dynasty (1368–1644) based on ensemble empirical mode decomposition method. J Desert Res 1368-1644(in Chinese)
Qian C, Zhou TJ (2014) Multidecadal variability of north China aridity and its relationship to PDO during 1900–2010. J Clim 27(3):1210–1222
Shakure T, Hamid Y, Mamattursun E, Mihrigul A, Li JT (2014) Research on period of annual runoff in Kaidu River based on wavelet analysis. Res Soil Water Conserv 21(1):142–146(in Chinese)
Shao J, Lv SY, Qian XY, Yuan P (2011) Multi-scale analysis of hydrological series using ensemble empirical mode decomposition. J Huazhong Univ Sci Technol (Nat Sci Ed) 39(11):105–108(in Chinese)
Shi YF, Shen YP, Kang E, Li D, Zhang G, Hu R (2007) Recent and future climate change in northwest China. Clim Chang 80(3–4):379–393
Wang HJ, Chen YN, Chen ZS (2013) Spatial distribution and temporal trends of mean precipitation and extremes in the arid region, northwest of China, during 1960–2010. Hydrol Process 27(12):1807–1818
Wei FY (2007) Modern climatic statistical diagnosis and forecasting technology (2nd). China Meteorological Press, Beijing, pp. 1–260(in Chinese)
Wu ZH, Huang NE (2004) A study of the characteristics of white noise using the empirical mode decomposition method. Proc R Soc London A: Math Phys Sci 460(2046):1597–1611
Wu ZH, Huang NE (2009) Ensemble empirical mode decomposition: a noise-assisted data analysis method. Adv Adapt Data Anal 1(1):1–41
Wu ZH, Huang NE, Wallace JM, Smoliak BV, Chen XY (2011) On the time-varying trend in global-mean surface temperature. Clim Dyn 37(3–4):759–773
Xu JH, Chen YN, Ji MH, Lu F (2008) Climate change and its effects on runoff of Kaidu River, Xinjiang, China: a multiple time-scale analysis. Chin Geogr Sci 18(4):331–339
Xu JH, Li WH, Ji MH, Lu F, Dong S (2010) A comprehensive approach to characterization of the nonlinearity of runoff in the headwaters of the Tarim River, western China. Hydrol Process 24(2):136–146
Xu JH, Chen YN, Li WH, Peng PY, Yang Y, Song CN, Wei CM, Hong YL (2013) Combining BPANN and wavelet analysis to simulate hydro-climatic processes—a case study of the Kaidu River, northwest China. Front Earth Sci 7(2):227–237
Xue CF, Hou W, Zhao JH, Wang SG (2013) The application of ensemble empirical mode decomposition method in multiscale analysis of region precipitation and its response to the climate change. Acta Phys Sin 62(10):10923. doi:10.7498/aps.62.109203
Zhang YC, Li BL, Cheng WM, Zhang XR (2004) Hydrological response of runoff to climate variation in Kaidu catchment. Resour Sci 26(6):69–76(in Chinese)
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This work was supported by State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences (Program No. Y371163).
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Bai, L., Chen, Z., Xu, J. et al. Multi-scale response of runoff to climate fluctuation in the headwater region of Kaidu River in Xinjiang of China. Theor Appl Climatol 125, 703–712 (2016). https://doi.org/10.1007/s00704-015-1539-2
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DOI: https://doi.org/10.1007/s00704-015-1539-2