Skip to main content
Log in

Changing features of extreme precipitation in the Yangtze River basin during 1961–2002

  • Published:
Journal of Geographical Sciences Aims and scope Submit manuscript

Abstract

The total precipitation of the highest 1 day, 3 day, 5 day and 7 day precipitation amount (R1D, R3D, R5D and R7D) in the Yangtze River basin was analyzed with the help of linear trend analysis and continuous wavelet transform method. The research results indicated that: 1) Spatial distribution of R1D is similar in comparison with that of R3D, R5D and R7D. The Jialingjiang and Hanjiang river basins are dominated by decreasing trend, which is significant at >95% confidence level in Jialingjiang River basin and insignificant at >95% confidence level in Hanjiang River basin. The southern part of the Yangtze River basin and the western part of the upper Yangtze River basin are dominated by significant increasing trend of R1D extreme precipitation at >95% confidence level. 2) As for the R3D, R5D and R7D, the western part of the upper Yangtze River basin is dominated by significant increasing trend at >95% confidence level. The eastern part of the upper Yangtze River basin is dominated by decreasing trend, but is insignificant at >95% confidence level. The middle and lower Yangtze River basin is dominated by increasing trend, but insignificant at >95% confidence level. 3) The frequency and intensity of extreme precipitation events are intensified over time. Precipitation anomalies indicated that the southeastern part, southern part and southwestern part of the Yangtze River basin are dominated by positive extreme precipitation anomalies between 1993–2002 and 1961–1992. The research results of this text indicate that the occurrence probability of flash flood is higher in the western part of the upper Yangtze River basin and the middle and lower Yangtze River basin, esp. in the southwestern and southeastern parts of the Yangtze River basin.

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

Access this article

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

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Allen M R, Smith L A, 1996. Monte Carlo SSA: detecting irregular oscillations in the presence of coloured noise. Journal of Climatology, 9: 3373–3404.

    Article  Google Scholar 

  • Changjiang Water Resources Commission, Ministry of Water Resources (CWRC). Waterlogging and Aridity Disasters in the Yangtze River Basin. Beijing: China WaterPower Press, 2002. (in Chinese)

    Google Scholar 

  • Easterling D R, Meehl G A, Parmesan C et al., 2002. Climate extremes observations, modelling, and impacts. Science, 289: 2068–2074.

    Article  Google Scholar 

  • Farge M, 1992. Wavelet transform and their application to turbulence. Annu. Rev. Fluid Mech., 24: 395–457.

    Article  Google Scholar 

  • Fowler A M, Hennessy K J, 1995. Potential impacts of global warming on the frequency and magnitude of heavy precipitation. Natural Hazards, 11: 283–303.

    Article  Google Scholar 

  • Grinsted A, Moore J C, Jevrejeva S, 2004. Application of the cross wavelet transform and wavelet coherence to geophysical time series. Nonlinear Processes in Geophysics, 11: 561–566.

    Google Scholar 

  • Groisman P Y, Karl T, Easterling D et al., 1999. Changes in the probability of the heavy precipitation: important indicators of the climate change. Climate Change, 42: 243–283.

    Article  Google Scholar 

  • Hewitson B C, 1997. A methodology for developing regional climate change scenarios from general circulation models. WRC Report No. 594/1/97, 35p.

  • Horton E B, Folland C K, Parker D E, 2001. The changing incidence of extremes in worldwide and central England temperatures to the end of the twentieth century. Climate Change, 50: 67–295.

    Google Scholar 

  • Jones C, Waliser E D, Lau M K et al., 2004. Global occurrence of extreme precipitation and the Madden-Julian oscillation: observations and predictability. American Meteorological Society, 17: 4575–4589.

    Google Scholar 

  • Karl T R, Knight R W, Plummer N, 1995. Trends in high-frequency climate variability in the twentieth century. Nature, 377: 217–220.

    Article  Google Scholar 

  • Katz R W, Brown B G, 1992. Extreme events in a changing climate: variability is more important than average. Climatic Change, 21: 289–302.

    Article  Google Scholar 

  • Labat D, Goddéris Y, Probst J L et al., 2004. Evidence for global runoff increase related to climate warming. Advances in Water Resources, 27: 631–642.

    Article  Google Scholar 

  • Lucero A O, Rozas D, 2002. Characteristics of aggregation of daily rainfall in a middle-latitudes region during a climate variability in annual rainfall amount. Atmospheric Research, 61: 35–48.

    Article  Google Scholar 

  • Mora R D, Bouvier C, Neppel L et al., 2005. Regional approach for the estimation of low-frequency of low-frequency distribution of daily rainfall in the Languedoc-Roussillon region, France. Hydrol. Sci. J., 50(1): 17–29.

    Article  Google Scholar 

  • Plummer N, James M, Neville S et al., 1999. Changes in climate extremes over the Australian region and New Zealand during the twentieth century. Climate Change, 42: 183–202.

    Article  Google Scholar 

  • Su B D, Jiang T, 2005a. Recent trends in temperature and precipitation extremes in the Yangtze River basin, China. Theoretical and Applied Climatology, DOI 10.1007/s00704-005-0139-y.

  • Su B D, Xiao B, Zhu D M et al., 2005b. Trends in frequency of precipitation extremes in the Yangtze River basin, China: 1960–2003. Hydrol. Sci. J., 50(3): 479–492.

    Article  Google Scholar 

  • Suppiah R, Hennessy K, 1996. Trends in the intensity and frequency of heavy rain in tropical Australia and links with the southern oscillation. Austr. Met. Magazine, 45: 1–17.

    Google Scholar 

  • Torrence C, Compo G P, 1998. A practical guide to wavelet analysis. Bulletin of American Meteorological Society, 79: 61–78.

    Article  Google Scholar 

  • Zar J H, 1999. Biostatistical Analysis. Old Tappan, N. J.: Prentice-Hall.

    Google Scholar 

  • Zhai P M, Sun A J, Ren F M, 1999. Changes of climate extremes in China. Climatic Change, 42(1): 203–218.

    Article  Google Scholar 

  • Zhang Q, Jiang T, Germmer M et al., 2005. Precipitation, temperature and discharge analysis from 1951 to 2002 in the Yangtze River basin, China. Hydrological Sciences Journal, 50(1): 65–80.

    Article  Google Scholar 

  • Zhang Q, Liu C L, Xu C Y et al., 2006. Observed trends of annual maximum water level and streamflow during past 130 years in the Yangtze River basin, China. Journal of Hydrology, 324: 255–265.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Additional information

Foundation: Funded by the Nanjing Institute of Geography and Limnology, CAS, No.S260018; The Chinese Meteorological Administration, No.ccsf2006-31

Author: Zhang Zengxin (1977–), Ph.D. Candidate, specialized in climatic changes.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Zhang, Z., Zhang, Q. & Jiang, T. Changing features of extreme precipitation in the Yangtze River basin during 1961–2002. J GEOGR SCI 17, 33–42 (2007). https://doi.org/10.1007/s11442-007-0033-x

Download citation

  • Received:

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11442-007-0033-x

Keywords

Navigation