Skip to main content

Advertisement

Log in

Intra-annual Distribution of Streamflow and Individual Impacts of Climate Change and Human Activities in the Dongijang River Basin, China

  • Published:
Water Resources Management Aims and scope Submit manuscript

Abstract

Individual impacts of climate change, land use/coverage change, the regulation of water reservoir and water use to intra-annual distribution of streamflow of the Dongjiang River basin, South China, are quantitatively separated. Data on precipitation, streamflow, regulation of water reservoirs, and water use are used in the analysis. Changes in the concentration degree and non-uniformity coefficient of intra-annual distribution of streamflow over time scales from daily to monthly are evaluated. Trend and change point analyses are applied to determine characteristics of intra-annual distribution of streamflow. By comparison with the difference among region precipitation, naturalized streamflow and observed streamflow, the contribution of main impact factors to the intra-annual distribution of streamflow are quantified. Results demonstrate the non-uniformity coefficient decreases with a negative logarithmic linear function of the time scale. Change points of the concentration degree and non-uniformity coefficient occurred in 1973 exhibited a significant downward trend. In the period posterior to the change point the former and the latter decrease approximately by 15–34 % and by 29–40 %, respectively. The decrease in concentration degree and non-uniformity coefficient is due to the regulation of water reservoirs and land use/cover change; while the increase is the result of water use and climate change. The individual contributions to the impact on the intra-annual distribution of streamflow from regulation of water reservoirs, land use/cover change, water use, and climate change are approximately −33.5, −9.0, 4.5 and 1.0 %. It is observed that the impacts of the regulations of the Xinfengjiang, Fengshuba, and Baipenzhu reservoirs account for −21, −10, and −2 %, respectively. There is an increasing tendency in the impacts of land use/cover change and water use in the past 30 years.

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
Fig. 8
Fig. 9

Similar content being viewed by others

References

  • Botter G, Zanardo S, Porporato A, Rodriguez-Iturbe I, Rinaldo A (2008) Ecohydrological model of flow duration curves and annual minima. Water Resour Res 44(8):W08418. doi:10.1029/2008WR006814

    Google Scholar 

  • Botter G, Basso S, Porporato A, Rodriguez-Iturbe I, Rinaldo A (2010) Natural streamflow regime alterations: damming of the Piave River Basin, Italy. Water Resour Res 46(6):W06522. doi:10.1029/2009WR008523

    Google Scholar 

  • Castellarin A, Vogel RM, Brath A (2004) A stochastic index flow model of flow duration curves. Water Resour Res 40(3):W03104. doi:10.1029/2003WR002524

    Google Scholar 

  • Chen YD (2001) Sustainable development and management of water resources for urban water supply in Hong Kong. Water Int 26(1):119–128. doi:10.1080/02508060108686891

    Article  Google Scholar 

  • Chen YD, Huang GR, Shao QX, Xu CY (2006) Regional analysis of low flow using L-moments for Dongjiang Basin, South China. Hydrol Sci J 51(6):1051–1064. doi:10.1623/hysj.51.6.1051

    Article  Google Scholar 

  • Chen YD, Tao Y, Xu CY, Zhang Q, Chen XH, Hao ZC (2010) Hydrologic alteration along the Middle and Upper East River (Dongjiang) Basin, South China: a visually enhanced mining on the results of RVA method. Stoch Env Res Risk A 24(1):9–18. doi:10.1007/s00477-008-0294-7

    Article  Google Scholar 

  • Chen L, Singh VP, Guo SL, Fang B, Liu P (2012) A new method for identification of flood seasons using directional statistics. Hydrol Sci J 58(1):1–13. doi:10.1080/02626667.2012.743661

    Google Scholar 

  • Farahani MA, Khalili D (2013) Seasonality characteristics and spatio-temporal trends of 7-day low flows in a large, semi-arid watershed. Water Resour Manag 27(14):4897–4911. doi:10.1007/s11269-013-0445-6

    Article  Google Scholar 

  • Feng GZ, Li Y, Li C (2000) Quantification of non-uniformity in annual distribution of stream flows. Acta Univ Agric 28(2):50–53, in Chinese

    Google Scholar 

  • Furat A, Al-Faraj M, Scholz M (2014) Incorporation of the flow duration curve method within digital filtering algorithms to estimate the base flow contribution to total runoff. Water Resour Manag 28(15):5477–5489. doi:10.1007/s11269-014-0816-7

    Article  Google Scholar 

  • Hannah DM, Smith BPG, Gurnell AM, McGregor GR (2000) An approach to hydrograph classification. Hydrol Process 14(2):317–338. doi:10.1002/(SICI)1099-1085(20000215)14:2<317::AID-HYP929>3.0.CO;2-T

    Article  Google Scholar 

  • Hao Z, Singh VP (2011) Single-site monthly streamflow simulation using entropy theory. Water Resour Res 47(9):W09528. doi:10.1029/2010WR010208

    Google Scholar 

  • Hao Z, Singh VP (2012) Entropy-copula method for single-site monthly streamflow simulation. Water Resour Res 48(6):W06604. doi:10.1029/2011WR011419

    Google Scholar 

  • Hao XM, Chen YN, Xu CC, Li WH (2007) Impacts of climate change and human activities on the surface runoff in the Tarim River Basin over the last fifty years. Water Resour Manag 22(9):1573–1650. doi:10.1007/s11269-007-9218-4

    Google Scholar 

  • Harris NM, Gurnell AM, Hannah DM, Petts GE (2000) Classification of river regimes: a context for hydroecology. Hydrol Process 14(16–17):2831–2848. doi:10.1002/1099-1085(200011/12)14:16/17<2831::AID-HYP122>3.0.CO;2-O

    Article  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 method. Hydrol Process 25(16):2492–2505. doi:10.1002/hyp.8002

    Article  Google Scholar 

  • Jin XL, Xu CY, Zhang Q, Chen YD (2009) Regionalization study of a conceptual hydrological model in Dongjiang basin, South China. Quat Int 208(1–2):129–137. doi:10.1016/j.quaint.2008.08.006

    Article  Google Scholar 

  • Leahy PG, Kiely G (2011) Short duration rainfall extremes in Ireland: influenceof climatic variability. Water Resour Manag 25:987–1003. doi:10.1007/s11269-010-9737-2

    Article  Google Scholar 

  • Li XM, Jiang FQ, Lia LH, Wang GG (2011) Spatial and temporal variability of precipitation concentration index, concentration degree and concentration period in Xinjiang, China. Int J Climatol 31:1679–1693. doi:10.1002/joc.2181

    Google Scholar 

  • Li FP, Zhang GX, Xu YJ (2014) Spatiotemporal variability of climate and streamflow in the Songhua River Basin, northeast China. J Hydrol 514:53–64. doi:10.1016/j.jhydrol.2014.04.010

    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(11):1487–1495. doi:10.1002/hyp.7609

    Article  Google Scholar 

  • Liucci L, Valigi D, Casadei S (2014) A new application of Flow Duration Curve (FDC) in designing run-of-river power plants. Water Resour Manag 28(3):881–895. doi:10.1007/s11269-014-0523-4

    Article  Google Scholar 

  • Ma ZM, Kang SZ, Zhang L, Tong L, Su XL (2008) Analysis of impacts of climate variability and human activity on streamflow for a river basin in arid region of northwest China. J Hydrol 352(3–4):239–249. doi:10.1016/j.jhydrol.2007.12.022

    Article  Google Scholar 

  • Miao CY, Ni JR, Borthwick GLA, Yang L (2011) A preliminary estimate of human and natural constribution to the changes in water discharge and sediment load in the Yellow River. Global Planet Change 76(3–4):196–205. doi:10.1016/j.gloplacha.2011.01.008

    Article  Google Scholar 

  • Peng DZ, Xu ZX (2010) Simulating the Impact of climate change on streamflow in the Tarim River basin by using a modified semi-distributed monthly water balance model. Hydrol Process 24(2):209–216. doi:10.1002/hyp.7485

    Google Scholar 

  • Pettitt AN (1979) A non-parametric approach to the change point problem. J Roy Stat Soc Ser C Appl Stat 28(2):126–135. doi:10.2307/2346729

    Google Scholar 

  • Pettitt AN (1980) A simple cumulative sum type statistic for the change-point problem with zero–one observations. Biometrika 67(1):79–84. doi:10.2307/2335319

    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. doi:10.1038/nature09364

    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(1–4):204–217. doi:10.1016/S0022-1694(02)00008-2

    Article  Google Scholar 

  • Serinaldi F (2009) Assessing the applicability of fractional order statistics for computing confidence intervals for extreme quantiles. J Hydrol 376(3–4):528–541. doi:10.1016/j.jhydrol.2009.07.065

    Article  Google Scholar 

  • Serinaldi F (2011) Analytical confidence intervals for index flow duration curves. Water Resour Res 47(2):W02542. doi:10.1029/2010WR009408

    Google Scholar 

  • Shao QX, Zhang L, Chen YD, Singh VP (2009) A new method for modelling flow duration curves and predicting streamflow regimes under altered land-use conditions. Hydrol Sci J 54(3):606–622. doi:10.1623/hysj.54.3.606

    Article  Google Scholar 

  • Sheng Y, Wang CY (2004) The Mann-Kendall test modified by effective sample size to detect trend in serially correlated hydrological series. Water Resour Manag 18(3):201–218. doi:10.1023/B:WARM.0000043140.61082.60

    Article  Google Scholar 

  • Singh VP, Cui HJ, Byrd AR (2014) Derivation of rating curve by the Tsallis entropy. J Hydrol 513:342–352. doi:10.1016/j.jhydrol.2014.03.061

    Article  Google Scholar 

  • Siriwardena L, Finlayson BL, McMahon TA (2006) The impact of land use change on catchment hydrology in large catchment: the Comet River, central Queensland, Australia. J Hydrol 326(1–4):199–214. doi:10.1016/j.jhydrol.2005.10.030

    Article  Google Scholar 

  • Smakhtin VY (2001) Low flow hydrology: a review. J Hydrol 240(3–4):147–186. doi:10.1016/S0022-1694(00)00340-1

    Article  Google Scholar 

  • St. Jacques JM, Sauchyn DJ, Zhao Y (2010) Northern Rocky Mountain streamflow records: global warming trends, human impacts or natural variability? Geophys Res Let 37(6):L06407. doi:10.1029/2009GL042045

    Article  Google Scholar 

  • Tu XJ, Zhang Q, Singh VP, Chen XH, Liu CL, Wang SB (2012) Space-time changes in hydrological processes in response to human activities and climatic change in the south China. Stoch Env Res Risk A 26(6):823–834. doi:10.1007/s00477-011-0516-2

    Article  Google Scholar 

  • Wang JX, Zhang JY, Yan L, Zhang SL (2008) Variation trends of runoffs seasonal distribution of the six larger basins in China over the past 50 years. Adv Water Sci 19(5):656–661, in Chinese

    Google Scholar 

  • Wang GS, Xia J, Chen J (2009) Quantification of effects of climate variations and human activities on runoff by a monthly water balance model: a case study of the Chaobai River Basin in Northern China. Water Resour Res 45(7):W00A11. doi:10.1029/2007WR006768

    Google Scholar 

  • Wang JH, Hong Y, Gourley J, Adhikari P, Li L, Su FG (2010) Quantitative assessment of climate change and human impacts on long-term hydrologic response: a case study in sub-basin of the Yellow River, China. Int J Climatol 30(14):2130–2137. doi:10.1002/joc.2023

    Article  Google Scholar 

  • Wang WG, Shao QX, Yang T, Peng SZ, Xing WQ, Sun FC, Luo YF (2013) Quantitative assessment of the impact of climate variability and human activities on runoff changes: a case study in four catchments of the Haihe River basin, China. Hydrol Process 27(8):1158–1174. doi:10.1002/hyp.9299

    Article  Google Scholar 

  • Wong JS, Zhang Q, Chen YD (2010) Statistical modeling of daily urban water consumption in Hong Kong: trend, changing patterns, and forecast. Water Resour Res 46(3):W03506. doi:10.1029/2009WR008147

    Google Scholar 

  • Xie ZQ, Du Y, Jiang AJ, Ding YG (2005) Climatic trends of different intensity heavy precipitation events concentration in China. J Geog Sci 15(4):459–465, in Chinese

    Article  Google Scholar 

  • Zhang LJ, Qian YF (2003) Annual distribution features of precipitation in China and their interannual variations. Acta Meteor Sin 17(2):146–63, in Chinese

    Google Scholar 

  • Zhang Q, Xu CY, Yu ZG, Liu CL, Chen YD (2009) Multifractal analysis of streamflow records of the East River basin (Pearl River). Chin Phys A 388(6):927–934. doi:10.1016/j.physa.2008.11.025

    Google Scholar 

  • Zhang Q, Jiang T, Chen YD, Chen XH (2010) Changing properties of hydrological extremes in south China: natural variations or human influences? Hydrol Process 24(11):1421–1432. doi:10.1002/hyp.7599

    Article  Google Scholar 

  • Zhang Q, Singh VP, Li K, Li JF (2014) Trend, periodicity and abrupt change in streamflow of the East River, the Pearl River Basin. Hydrol Process 28(2):305–314. doi:10.1002/hyp.9576

    Article  Google Scholar 

  • Zhao GJ, Hörmann G, Fohrer N, Zhang ZX, Zhai JQ (2010) Streamflow trends and climate variability impacts in Poyang Lake Basin, China. Water Resour Manag 24(4):689–706. doi:10.1007/s11269-009-9465-7

    Article  Google Scholar 

  • Zheng HX, Liu CM (2003) Changes of annual runoff distribution in the headwater of the Yellow River Basin. Prog Geogr 22(6):585–590, in Chinese

    Google Scholar 

  • Zheng HX, Zhang L, Zhu RR, Liu CM, Sato Y, Fukushima Y (2009) Responses of streamflow to climate and land surface change in the headwaters of the Yellow River Basin. Water Resour Res 45(7):W00A19. doi:10.1029/ 2007WR006665

    Google Scholar 

  • Zhou Y, Zhang Q, Li K, Chen XH (2012) Hydrological effects of water reservoirs on hydrological processes in the East River, China) basin: complexity evaluations based on the multi-scale entropy analysis. Hydrol Process 26(21):3253–3262. doi:10.1002/hyp.8406

    Article  Google Scholar 

  • Zuo DP, Xu ZX, Wu W, Zhao J, Zhao FF (2014) Identification of streamflow response to climate change and human activities in the Wei River Basin, China. Water Resour Manag 28:833–851. doi:10.1007/s11269-014-0519-0

    Article  Google Scholar 

Download references

Acknowledgments

Supported by the Open Research Fund of State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin (China Institute of Water Resources and Hydropower Research, Grant NO: IWHR-SKL-201314), the State National Natural Science Foundation of China (Grant NO: 51479217, 51210013, 51309104), and the Scholarship Fund of the China Scholarship Council (Grant NO: 201308440054), are gratefully acknowledged.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xinjun Tu.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tu, X., Singh, V.P., Chen, X. et al. Intra-annual Distribution of Streamflow and Individual Impacts of Climate Change and Human Activities in the Dongijang River Basin, China. Water Resour Manage 29, 2677–2695 (2015). https://doi.org/10.1007/s11269-015-0963-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11269-015-0963-5

Keywords

Navigation