Skip to main content

Advertisement

Log in

Quantifying the effects of climate variability and human activities on runoff for Kaidu River Basin in arid region of northwest China

  • Original Paper
  • Published:
Theoretical and Applied Climatology Aims and scope Submit manuscript

Abstract

Much attention has recently been focused on the effects that climate variability and human activities have had on runoff. In this study, data from the Kaidu River Basin in the arid region of northwest China were analyzed to investigate changes in annual runoff during the period of 1960–2009. The nonparametric Mann–Kendall test and the Mann–Kendall–Sneyers test were used to identify trend and step change point in the annual runoff. It was found that the basin had a significant increasing trend in annual runoff. Step change point in annual runoff was identified in the basin, which occurred in the year around 1993 dividing the long-term runoff series into a natural period (1960–1993) and a human-induced period (1994–2009). Then, the hydrologic sensitivity analysis method was employed to evaluate the effects of climate variability and human activities on mean annual runoff for the human-induced period based on precipitation and potential evapotranspiration. In 1994–2009, climate variability was the main factor that increased runoff with contribution of 90.5 %, while the increasing percentage due to human activities only accounted for 9.5 %, showing that runoff in the Kaidu River Basin is more sensitive to climate variability than human activities. This study quantitatively distinguishes the effects between climate variability and human activities on runoff, which can do duty for a reference for regional water resources assessment and management.

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.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  • Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration: guidelines for computing crop water requirements. FAO Irrigation and Drainage Paper No.56. FAO, Rome, Italy

  • Brown AE, Zhang L, McMahon TA, Western AW, Vertessy RA (2005) A review of paired catchment studies for determining changes in water yield resulting from alterations in vegetation. J Hydrol 310:28–61

    Article  Google Scholar 

  • Chen YN, Xu ZX (2005) Plausible impact of global climate change on water resources in the Tarim River Basin. Sci China Ser D 48:65–73

    Article  Google Scholar 

  • Demaree GR, Nicolis C (1990) Onset of Sahelian drought viewed as fluctuation-induced transition. Q J Roy Meteor Soc 116:221–238

    Article  Google Scholar 

  • Dooge JCI, Bruen M, Parmentier B (1999) A simple model for estimating the sensitivity of runoff to long-term changes in precipitation without a change in vegetation. Adv Water Resour 23:153–163

    Article  Google Scholar 

  • Douglas EM, Vogel RM, Kroll CN (2000) Trends in floods and low flows in the United States: impact of spatial correlation. J Hydrol 240:90–105

    Article  Google Scholar 

  • Govinda RP (1995) Effect of climate change on stream flows in the Mahanadi river basin, India. Water Int 20:205–212

    Article  Google Scholar 

  • Huo ZL, Feng SY, Kang SZ, Li WC, Chen SJ (2008) Effect of climate changes and water-related human activities on annual stream flows of the Shiyang river basin in arid north-west China. Hydrol Process 22:3155–3167

    Article  Google Scholar 

  • IPCC (2007) Climate change 2007: the physical science basis. In: Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt KB, Tignor M, Miller HL (eds) Contribution of working group I to the fourth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge

    Google Scholar 

  • Jiang SH, Ren LL, Yong B, Singh VP, Yang XL, Yuan F (2011) Quantifying the effects of climate variability and human activities on runoff from the Laohahe basin in northern China using three different methods. Hydrol Process 25:2492–2505

    Article  Google Scholar 

  • Jones RN, Chiew FHS, Boughtom WC, Zhang L (2006) Estimating the sensitivity of mean annual runoff to climate change using selected hydrological models. Adv Water Resour 29:1419–1429

    Article  Google Scholar 

  • Kendall MG (1975) Rank correlation measures. Charles Griffin, London

    Google Scholar 

  • Koster RD, Suarez MJ (1999) A simple framework for examining the interannual variability of land surface moisture fluxes. J Climate 12:1911–1917

    Article  Google Scholar 

  • Li LJ, Zhang L, Wang H, Wang J, Yang JW, Jiang DJ, Li JY, Qin DY (2007) Assessing the impact of climate variability and human activities on streamflow from the Wuding River basin in China. Hydrol Process 21:3485–3491

    Article  Google Scholar 

  • Liu DD, Chen XH, Lian YQ, Lou ZH (2010) Impacts of climate change and human activities on surface runoff in the Dongjiang River basin of China. Hydrol Process 24:1487–1495

    Article  Google Scholar 

  • Ma ZM, Kang SZ, Zhang L, Tong L, Su XL (2008) Analysis of impacts of climate change and human activity on streamflow for a river basin in arid region of northwest China. J Hydrol 352:239–249

    Article  Google Scholar 

  • Mann HB (1945) Non-parametric tests against trend. Econometrica 13:245–259

    Article  Google Scholar 

  • Milly PCD, Dunne KA (2002) Macro-scale water fluxes 2. Water and energy supply control of their inter-annual variability. Water Resour Res 38:1206. doi:10.1029/2001WR000760

    Article  Google Scholar 

  • Milly PCD, Dunne KA, Vecchia AV (2005) Global pattern of trends in streamflow and water availability in a changing climate. Nature 438:347–350

    Article  Google Scholar 

  • Moraes JM, Pellegrino HQ, Ballester MV, Martinelli LA, Victoria R, Krusche AV (1998) Trends in hydrological parameters of a southern Brazilian watershed and its relation to human induced changes. Water Resour Manag 12:295–311

    Article  Google Scholar 

  • Piao SL, Ciais P, Huang Y, Shen ZH, Peng SS, Li JS, Zhou LP, Liu HY, Ma YC, Ding YH, Friedlingstein P, Liu CZ, Tan K, Yu YQ, Zhang TY, Fang JY (2010) The impacts of climate change on water resources and agriculture in China. Nature 467:43–51

    Article  Google Scholar 

  • Poupkou A, Zanis P, Nastos P, Papanastasiou D, Melas D, Tourpali K, Zerefos C (2011) Present climate trend analysis of the Etesian winds in the Aegean Sea. Theor Appl Climatol 106:459–472

    Article  Google Scholar 

  • Ren LL, Wang MR, Li CH, Zhang W (2002) Impacts of human activity on river runoff in the northern area of China. J Hydrol 261:204–217

    Article  Google Scholar 

  • Scanlon BR, Jolly I, Sophocleous M, Zhang L (2007) Global impacts of conversion from natural to agricultural ecosystem on water resources: quantity versus quality. Water Resour Res 43:W03437. doi:10.1029/2006WR005486

    Article  Google Scholar 

  • Shi YF, Shen YP, Kang ES, Li DL, Ding YJ, Zhang GW, Hu RJ (2007) Recent and future climate change in northwest China. Clim Change 80:379–393

    Article  Google Scholar 

  • Sneyers R (1975) Sur l'analyse statistique des séries d'observations. O.M.M., Note Technique No 143, Gencve, Suisse

  • Tao H, Gemmer M, Bai YG, Su B, Mao WY (2011) Trends of streamflow in the Tarim River Basin during the past 50 years: human impact or climate change? J Hydrol 400:1–9

    Article  Google Scholar 

  • Tian F, Yang YH, Han SM (2009) Using runoff slope-break to determine dominate factors of runoff decline in Hutuo River Basin, north China. Water Sci Technol 60:2135–2144

    Article  Google Scholar 

  • Wang GQ, Zhang JY, He RM, Jiang NQ, Jing XA (2008) Runoff reduction due to environmental changes in the Sanchuanhe river basin. Int J Sediment Res 23:174–180

    Article  Google Scholar 

  • Xu JH, Ji MH, Lu F (2008) Climate change and its effects on runoff of Kaidu River, Xinjiang, China: a multiple time-scale analysis. Chinese Geogr Sci 18:331–339

    Article  Google Scholar 

  • Ye BS, Yang DQ, Kane DL (2003) Changes in Lena River streamflow hydrology: human impacts versus natural variations. Water Resour Res 39:1200. doi:10.1029/2003WR001991

    Article  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 38:1068. doi:10.1029/2001WR000861

    Article  Google Scholar 

  • Zhang L, Dawes WR, Walker GR (2001) Response of mean annual evapotranspiration to vegetation changes at catchment scale. Water Resour Res 37:701–708

    Article  Google Scholar 

  • Zhang L, Hickel K, Dawes WR, Chiew FHS, Western AW, Briggs PR (2004) A rational function approach for estimating mean annual evapotranspiration. Water Resour Res 40:W02502. doi:10.1029/2003WR002710

    Article  Google Scholar 

  • Zhang Q, Xu CY, Yang T (2009) Variability of water resource in the Yellow River Basin of past 50 years, China. Water Resour Manag 23:1157–1170

    Article  Google Scholar 

  • Zhang Q, Li JF, Chen YD, Chen XH (2011) Observed changes of temperature extremes during 1960–2005 in China: natural or human-induced variations? Theor Appl Climatol 106:417–431

    Article  Google Scholar 

Download references

Acknowledgments

The research is supported by the National Basic Research Program of China (973 Program, no. 2010CB951003) and the Western Light Talent Culture Project (no. XBBS200907).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yaning Chen.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Chen, Z., Chen, Y. & Li, B. 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, 537–545 (2013). https://doi.org/10.1007/s00704-012-0680-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00704-012-0680-4

Keywords

Navigation