Skip to main content

Advertisement

Log in

The response of river discharge to climate fluctuations in the source region of the Yellow River

  • Original Article
  • Published:
Environmental Earth Sciences Aims and scope Submit manuscript

Abstract

The Yellow River is the second biggest river in China and serves as a source of domestic and agricultural water supply in the watershed. In the last several decades, this river’s discharge reduced to zero several times since 1960, especially in the 1990s. The decreasing river flow has caused some serious eco-environmental problems in the source region. To study the important effects of climate on river discharge in the source area, a data set of 44 water-year river flow, air temperature and precipitation is selected and wavelet analysis is performed to describe and identify the features of climate (air temperature and precipitation) and river discharge. Results of continuous wavelet transform (CWT) show that all three parameters have common significant periods of 1–2 and 3–6 years against red noise in different time spans while river discharge probably has a 16-year-period mainly in the cone of influence (COI). Comparison of river flow and its CWT suggests these zero river flows are connected to extreme low values located in different scales, indicating that climate does control the river discharge in the source area. The cross wavelet (XWT) and wavelet coherence (WTC) clearly illustrate that the first zero river discharge (about in 1961) is only related to precipitation, while the rest have resulted from the combination of air temperature and precipitation.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+
from $39.99 /Month
  • Starting from 10 chapters or articles per month
  • Access and download chapters and articles from more than 300k books and 2,500 journals
  • Cancel anytime
View plans

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

Explore related subjects

Discover the latest articles and news from researchers in related subjects, suggested using machine learning.

References

  • Allen MR, Smith LA (1996) Monte Carlo SSA: detecting irregular oscillations in the presence of colored noise. J Climate 9(12):3373–3404

    Article  Google Scholar 

  • Andreo B, Jimenez P, Duran JJ, Carrasco F, Vadillo I, Mangin A (2006) Climatic and hydrological variations during the last 117–166 years in the south of the Iberian Peninsula, from spectral and correlation analyses and continuous wavelet analyses. J Hydrol 324(1–4):24–39

    Article  Google Scholar 

  • Bai W, Zhang Y, Xie G, Shen Z (2002) Analysis formation causes of grassland degradation in Maduo County in the source region of Yellow River. Chin J Appl Ecol 13(7):823–826 (in Chinese)

    Google Scholar 

  • Boo KO, Kwon WT, Kim JK (2004) Vegetation change I the regional surface climate over East Asia due to global warming using BIOME4. Geophys Space Phys 27:317–327

    Google Scholar 

  • Chatfield C (1980) The analysis of time series: an introduction, 2nd edn. Chapman and Hall, London

    Google Scholar 

  • Chen B (1988) Groundwater dynamics and its forecasting. Science Press, Beijing (in Chinese)

    Google Scholar 

  • Chen Q, Liang Q, Wei Y (1998) Study on degraded rangelands in Darlag county of Qinghai Province. J Pratacult Sci 7(4):44–48

    Google Scholar 

  • Daubechies I (1990) The wavelet transform, time–frequency localization and signal analysis. IEEE Trans Inf Theory 36(5):961–1005

    Article  Google Scholar 

  • Elagib NA, Abdu ASA (1997) Climate variability and aridity in Bahrain. J Arid Environ 36(3):405–419

    Article  Google Scholar 

  • Farge M (1992) Wavelet transforms and their applications to turbulence. Annu Rev Fluid Mech 24:395–457

    Article  Google Scholar 

  • Fu GB, Chen SL, Liu CM, Shepard D (2004) Hydro-climatic trends of the Yellow River basin for the last 50 years. Climatic Change 65(1–2):149–178

    Article  Google Scholar 

  • Grinsted A, Moore JC, Jevrejeva S (2004) Application of the cross wavelet transform and wavelet coherence to geophysical time series. Nonlinear Process Geophys 11(5–6):561–566

    Article  Google Scholar 

  • Hess TM, Stephens W, Maryah UM (1995) Rainfall trends in the north-east arid zone of Nigeria 1961–1990. Agric For Meteorol 74(1–2):87–97

    Article  Google Scholar 

  • Huang Z (1983) Spectral analysis and its application to hydrometeorology. China Meteorological Press, Beijing

    Google Scholar 

  • IPCC (1996) Climate change 1995: impacts, adaptation, and mitigation. Cambridge University Press, Cambridge

    Google Scholar 

  • IPCC (2001) Climate change 2000: impacts, adaptation, and vulnerability. Cambridge University Press, Cambridge

    Google Scholar 

  • Karl TR, Knight RW, Plummer N (1995) Trends in the hight-frequency climate variability in the twentieth century. Nature 377:217–220

    Article  Google Scholar 

  • Labat D (2010) Cross wavelet analyses of annual continental freshwater discharge and selected climate indices. J Hydrol 385(1–4):269–278

    Article  Google Scholar 

  • Li W (2000) Review and expectation in study of hydrology and water resource of the Yellow River source region in the 20th century. J Qinghai Univ 18:50–53 (in Chinese)

    Google Scholar 

  • Liang S, Ge S, Wan L, Zhang J (2010) Can climate change cause the Yellow River to dry up? Water Resour Res 46

  • Liu PC (1994) Wavelet spectrum analysis and ocean wind waves. In: Wavelets in geophysics. Academic Press, Beijing, pp 151–166

  • Modarres R, da Silva VDR (2007) Rainfall trends in arid and semi-arid regions of Iran. J Arid Environ 70(2):344–355

    Article  Google Scholar 

  • Moore J, Grinsted A, Jevrejeva S (2006) Is there evidence for sunspot forcing of climate at multi-year and decadal periods? Geophys Res Lett 33(17):L17705

    Article  Google Scholar 

  • Rossi A, Massei N, Laignel B, Sebag D, Copard Y (2009) The response of the Mississippi River to climate fluctuations and reservoir construction as indicated by wavelet analysis of streamflow and suspended-sediment load, 1950–1975. J Hydrol 377(3–4):237–244

    Article  Google Scholar 

  • Schaefli B, Maraun D, Holschneider M (2007) What drives high flow events in the Swiss Alps? Recent developments in wavelet spectral analysis and their application to hydrology. Adv Water Resour 30(12):2511–2525

    Article  Google Scholar 

  • Smith LC, Turcotte DL, Isacks BL (1998) Stream discharge characterization and feature detection using a discrete wavelet transform. Hydrol Process 12:233–249

    Article  Google Scholar 

  • Torrence C, Compo GP (1998) A practical guide to wavelet analysis. Bull Am Meteorol Soc 79(1):61–78

    Article  Google Scholar 

  • Torrence C, Webster PJ (1999) Interdecadal changes in the ENSO-monsoon system. J Climate 12:2679–2690

    Article  Google Scholar 

  • Yan Z, Zhou H, Liu W, Zhou L (2003) Preliminary discuss on grassland degradation in the source region of Yangtze and Yellow rivers. Grassl China 25:73–78 (in Chinese)

    Google Scholar 

  • Yang RW, Cao J, Huang W, Nian AB (2010) Cross wavelet analysis of the relationship between total solar irradiance and sunspot number. Chin Sci Bull 55(20):2126–2130

    Article  Google Scholar 

  • Yellow River Commission (1999) ‘Some Basic Data of the Yellow River’, Huang-he Bao (The Yellow River Newspaper), October 1 (in Chinese)

  • Zhang SF, Jia SF, Liu CM, Cao WB, Hao FH, Liu JY, Yan HY (2004) Study on the changes of water cycle and its impacts in the source region of the Yellow River. Sci China Ser E 47:142–151

    Article  Google Scholar 

  • Zhang Y, Liu L, Bai W, Shen Z, Yan J, Ding M, Li S, Dong D (2006) Grassland degradation in the source region of the Yellow River. Acta Geogr Sin 61(1):3–14 (in Chinese)

    Google Scholar 

Download references

Acknowledgments

We thank the two anonymous reviewers for their valuable comments and suggestions. This research was supported by the Knowledge Innovation Program of the Chinese Academy of Sciences (KZCX2-YW-Q06-2-3), the National Natural Science Foundation of China (No. 41072187), and the High-level Radioactive Waste Geological Disposal Project from State Administration of Science Technology and Industry for National Defense.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jianfeng Zhang.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Zhang, J., Li, G. & Liang, S. The response of river discharge to climate fluctuations in the source region of the Yellow River. Environ Earth Sci 66, 1505–1512 (2012). https://doi.org/10.1007/s12665-011-1390-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12665-011-1390-4

Keywords