Skip to main content
Log in

The spatial and temporal analysis of dry spells in the Yellow River basin, China

  • Original Paper
  • Published:
Stochastic Environmental Research and Risk Assessment Aims and scope Submit manuscript

Abstract

In this research, drought in Yellow River basin has been studied by using dry spells. Three indices, including the maximum length (MxDS), mean length (MDS) and number of dry spells (NDS), and five periods (annual, winter, spring, summer and autumn) are considered. The results show that a south to north gradient for mean MxDS and MDS has been dominantly found in all periods except summer, in which a southwest and southeast to north gradient exists. Mean NDS shows an opposite distribution to that of mean MxDS and MDS. It is surely that the northern part of Yellow River basin, with a higher MxDS and MDS and lower NDS, is much drier than southern part in a regional scale. According to temporal analysis by using the Mann–Kendall trend method, MxDS of most stations show negative but insignificant trends during annual and winter, while the majority of stations show positive trends during spring, summer and autumn. Trends of MDS and NDS dominantly depict positive and negative for most periods, respectively. By comparing the frequency of dry spells during the ENSO events, it can be found that the frequency of intermediate and long dry spells is almost tantamount during the occurrence periods of El Niño and La Niña.

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

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

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
Fig. 7
Fig. 8
Fig. 9

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

  • Bari Abarghouei H, Asadi Zarch MA, Dastorani MT, Kousari MR, Safari Zarch M (2011) The survey of climatic drought trend in Iran. Stoch Environ Res Risk Assess. doi:10.1007/s00477-011-0491-7

  • Christakos G (2000) Modern spatiotemporal geostatistics. Oxford University Press, New York

    Google Scholar 

  • Chu JT, Xia J, Xu CY, Li L, Wang ZG (2010) Spatial and temporal variability of daily precipitation in Haihe River basin, 1958–2007. J Geogr Sci 20(2):248–260

    Article  Google Scholar 

  • Cindrić K, Pasarić Z, Gajić-Čapka M (2010) Spatial and temporal analysis of dry spells in Croatia. Theor Appl Climatol 102(1–2):171–184

    Article  Google Scholar 

  • Dai A, Trenberth KE, Karl TR (1998) Global variations in droughts and wet spells: 1900–1995. Geophys Res Lett 25(17):3367–3370

    Article  Google Scholar 

  • Damage Report (1995) Report of the damage caused by disaster in China. China Statistical Press, Beijing (in Chinese)

  • Deni SM, Jemain AA (2009) Mixed log series geometric distribution for sequences of dry days. Atmos Res 92(2):236–243

    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. Clim Change 65(1):149–178

    Article  Google Scholar 

  • Gong DY, Wang JA, Han H (2005) Trends of summer dry spells in China during the late twentieth century. Meteorol Atmos Phys 88(3):203–214

    Article  Google Scholar 

  • Gregory JM, Mitchell JFB, Brady AJ (1997) Summer drought in northern midlatitudes in a time-dependent CO2 climate experiment. J Clim 10:662–686

    Article  Google Scholar 

  • Grimm AM, Barros VR, Doyle ME (2000) Climate variability in southern South America associated with El Niño and La Niña events. J Clim 13(1):35–58

    Article  Google Scholar 

  • Huang RH, Xu YH, Zhou LT (1999) The interdecadal variation of summer precipitations in China and the drought trend in North China. Plateau Meteorol 18(4):465–476 (in Chinese)

    Google Scholar 

  • Kiladis GN, Diaz HF (1989) Global climatic anomalies associated with extremes in the southern oscillation. J Clim 2(9):1069–1090

    Article  Google Scholar 

  • Kutiel H (1985) The multimodality of the rainfall course in Israel, as reflected by the distribution of dry spells. Meteorol Atmos Phys 36(1):15–27

    Google Scholar 

  • Lana X, Martínez MD, Burgueño A, Serra C, Martín-Vide J, Gómez L (2006) Distributions of long dry spells in the Iberian Peninsula, years 1951–1990. Int J Climatol 26(14):1999–2021

    Article  Google Scholar 

  • Lei YH, Duan AM (2010) Prolonged dry episodes and drought over China. Int J Climatol. doi:10.1002/joc.2197

  • Liu XF, Yuan HZ (2006) Effects of ENSO on the relationship between IOD and autumn rainfall in China. J Nanjing Inst Meteorol 29(6):762–768 (in Chinese)

    Google Scholar 

  • Liu Q, Yang ZF, Cui BS (2008) Spatial and temporal variability of annual precipitation during 1961–2006 in Yellow River basin, China. J Hydrol 361(3–4):330–338

    Article  Google Scholar 

  • Mishra AK, Özger M, Singh VP (2011) Wet and dry spell analysis of global climate model-generated precipitation using power laws and wavelet transforms. Stoch Env Res Risk Assess 25:517–535

    Article  Google Scholar 

  • Modarres R (2010) Regional dry spells frequency analysis by L-moment and multivariate analysis. Water Resour Manag 24:2365–2380

    Article  Google Scholar 

  • Mourato S, Moreira M, Corte-Real J (2010) Interannual variability of precipitation distribution patterns in Southern Portugal. Int J Climatol 30(12):1784–1794

    Google Scholar 

  • Nastos PT, Zerefos CS (2009) Spatial and temporal variability of consecutive dry and wet days in Greece. Atmos Res 94(4):616–628

    Article  Google Scholar 

  • Ropelewski CF, Halpert MS (1987) Global and regional scale precipitation patterns associated with the El Niño/Southern oscillation. Mon Weather Rev 115(8):1606–1626

    Article  Google Scholar 

  • Sang JR, Liu YL, Shu ZL (2007) Response of severe drought events in Ningxia to climate change during recent 44 years. J Desert Res 27(5):872–882 (in Chinese)

    Google Scholar 

  • Seleshi Y, Camberlin P (2006) Recent changes in dry spell and extreme rainfall events in Ethiopia. Theor Appl Climatol 83(1):181–191

    Article  Google Scholar 

  • Shao XM, Yan CR, Wei HB (2006) Spatial and temporal structure of precipitation in the Yellow River Basin based on Kriging method. Chin J Agrometeorol 27(2):65–69 (in Chinese)

    CAS  Google Scholar 

  • Shiau JT, Feng S, Nadarajah S (2007) Assessment of hydrological droughts for the Yellow River, China, using copulas. Hydrol Process 21(16):2157–2163. doi:10.1002/hyp.6400

    Article  Google Scholar 

  • Tolika K, Maheras P (2005) Spatial and temporal characteristics of wet spells in Greece. Theor Appl Climatol 81(1):71–85

    Article  Google Scholar 

  • Vargas WM, Naumann G, Minetti JL (2010) Dry spells in the River Plata basin: an approximation of the diagnosis of droughts using daily data. Theor Appl Climatol. doi:10.1007/s00704-010-0335-2

  • Wijngaard JB, Klein Tank AMG, Konnen GP (2003) Homogeneity of 20th century European daily temperature and precipitation series. Int J Climatol 23(6):679–692

    Article  Google Scholar 

  • Xie YG, Fu Q (2004) Analysis of famines caused by heavy floods and droughts in China. Nat Sci 2(2):25–32

    Google Scholar 

  • Xu ZX, Li JY, Takeuchi K, Ishidaira H (2007) Long-term trend of precipitation in China and its association with the El Niño–Southern oscillation. Hydrol Process 21(1):61–71. doi:10.1002/hyp.6180

    Article  CAS  Google Scholar 

  • Yang ZF, Li CH (2004) The spatial and temporal structure of precipitation in the Yellow River basin. Prog Geogr 23(2):27–33 (in Chinese)

    Google Scholar 

  • Yu WD, Liu JG, Chang J, Wang JJ (2008) Changes in extreme temperature and precipitation in Henan province during 1957–2005. Adv Clim Change Res 4(2):78–83 (in Chinese)

    Google Scholar 

  • Yue S, Wang CY (2002) Applicability of prewhitening to eliminate the influence of serial correlation on the Mann–Kendall test. Water Resour Res 38 (6). doi:10.1029/2001WR000861

  • Zhang JG, Liu XR (2000) Information entropy analysis on non uniformity of precipitation distribution in time–space. (1) Basic concept and data analysis. Adv Water Sci 11(2):133–137 (in Chinese)

    Google Scholar 

  • Zhang Q, Liu CL, Xu CY, Xu YP, Jiang T (2006) Observed trends of annual maximum water level and streamflow during past 130 years in the Yangtze River basin, China. J Hydrol 324(1–4):255–265

    Article  Google Scholar 

  • Zhang Q, Xu CY, Chen YD, Ren LL (2011) Comparison of evapotranspiration variations between the Yellow River and Pearl River basin, China. Stoch Env Res Risk Assess 25(2):139–150. doi:10.1007/s00477-010-0428-6

    Article  Google Scholar 

Download references

Acknowledgments

This study is supported by National Science Foundation of P.R. China (Grant No. 41071025) and National Basic Research Program of China (2010CB428406). The meteorological data used in this study were collected from China Meteorological Administration (CMA), which is highly appreciated.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jun Xia.

Rights and permissions

Reprints and permissions

About this article

Cite this article

She, D., Xia, J. The spatial and temporal analysis of dry spells in the Yellow River basin, China. Stoch Environ Res Risk Assess 27, 29–42 (2013). https://doi.org/10.1007/s00477-011-0553-x

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00477-011-0553-x

Keywords