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Runoff sensitivity to climate change for hydro-climatically different catchments in China

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Abstract

Communities are facing severe water stress due to the rapid development of agriculture and industry, climate change, as well as population growth. Climate variability has a big impact on runoff variation and it is important to understand these hydrological responses. Using a water balance model, monthly discharges of 21 climatically different catchments in China were simulated. Sensitivities of runoff to climate change were investigated by adopting hypothetical climate scenarios. Results indicate that the water balance model performs well for monthly discharge simulations of climatically different catchments with Nash–Sutcliffe coefficients >65 % and relative errors falling in the range of ±5 %. In general, runoff in arid north China are more sensitive to climate change than those in humid south China. A 1 °C rise in temperature would probably lead to 1.2–4.4 % decreases in runoff. A decrease in precipitation of 10 % would result in 9.4–17.4 % of decreases in runoff. It is essential to consider the implications of climate change in future water resources management.

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References

  • Athanasios L, Michael C (1996) Effect of climate change on hydrological regime of two climatically different watersheds. J Hydrol Eng 1(2):77–87

    Article  Google Scholar 

  • Bao Z, Zhang J, Liu J, Wang G, Yan X, Wang X, Zhang L (2012) Sensitivity of hydrological variables to climate change in the Haihe River basin, China. Hydrol Process 26(15):2294–2306

    Article  Google Scholar 

  • Benedikt N, Lindsay M, Daniel V (2007) Impacts of environmental change on water resources in the Mt. Kenya region. J Hydrol 343:266–278

    Article  Google Scholar 

  • China Meteorological Administration (CMA) (2012) Meteorological year book series. China Meteorology Press, Beijing (in Chinese)

    Google Scholar 

  • Compilation Commission of China’s National Assessment for Climate Chang (CCCNACC) (2012) The second China’s national assessment report for climate change. China Science Press, Beijing

    Google Scholar 

  • Don M, Roy S, Sasha M, Jonathan T, Richard S, Riasat A, Geoff H (2012) Climate change impacts on water yields and demands in South-western Australia. J Hydrol 475:488–498

    Article  Google Scholar 

  • Fu G, Michael E, Chen S (2007) Impacts of climate change on regional hydrological regimes in the Spokane River Watershed. J Hydrol Eng 12(5):452–461

    Article  Google Scholar 

  • Gu H, Yu Z, Wang G, Wang J, Ju Q, Yang C, Fan C (2015) Impact of climate change on hydrological extremes in the Yangtze river basin, China. Stoch Environ Res Risk Assess 29(3):693–707

    Article  Google Scholar 

  • Guo Y, Li Z, Boateng M, Deng P, Huang P (2014) Quantitative assessment of the impact of climate variability and human activities on runoff changes for the upper reaches of Weihe River. Stoch Environ Res Risk Assess 28:333–346

    Article  CAS  Google Scholar 

  • Hu Y, Maskey S, Uhlenbrook S, Zhao H (2011) Stream flow trends and climate linkages in the source region of the Yellow River, China. Hydrol Process 25:3399–3411

    Article  Google Scholar 

  • IPCC (2007) Climate change 2007: impacts adaptation and vulnerability. Cambridge University Press, Cambridge

    Google Scholar 

  • IPCC (2008) Climate change and water. Cambridge University Press, Cambridge

    Google Scholar 

  • IPCC (2013) Climate change 2013: the physical science basis. Cambridge University Press, Cambridge

    Google Scholar 

  • IPCC (2014) Climate change 2014: impacts, adaptation, and vulnerability. Cambridge University Press, Cambridge

    Google Scholar 

  • Jung W, Chang H (2011) Assessment of future runoff trends under multiple climate change scenarios in the Willamette River basin, Oregon, USA. Hydrol Process 25:258–277

    Article  Google Scholar 

  • Kay A, Davis H, Bell V, Jones R (2009) Comparison of uncertainty sources for climate change impacts: flood frequency in England. Clim Chang 92(1):41–63

    Article  Google Scholar 

  • Li Y, Wen K, Shen F, Zhang S, Wang J (2012) Impacts and adaptation of climate change in China. Waterpower Press, Beijing (in Chinese)

    Google Scholar 

  • Li F, Xu Z, Liu W, Zhang Y (2014) The impact of climate change on runoff in the Yarlung Tsangpo River basin in the Tibetan plateau. Stoch Environ Res Risk Assess 28(3):517–526

    Article  Google Scholar 

  • Lorena L, Leonardo V, Enrique R, Goffredi L (2010) Basin-scale water resources assessment in Oklahoma under synthetic climate change scenarios using a fully distributed hydrologic model. J Hydrol Eng 15(2):107–118

    Article  Google Scholar 

  • Ministry of Water Resources (MWR) (2012) Hydrological year book series. Hydropower Press, Beijing (in Chinese)

    Google Scholar 

  • Morton FI (1967) Potential evaporation and river basin evaporation. J Hydraul Div 93(4):253–268

    Google Scholar 

  • Nash J, Sutcliffe J (1970) River flow forecasting through conceptual models: part 1—a discussion of principles. J Hydrol 10:282–290

    Article  Google Scholar 

  • Peng S, Liu W, Wang W, Shao Q, Jiao X, Yu Z, Xing W, Xu J, Zhang Z, Luo Y (2013) Estimating the effects of climatic variability and human activities on streamflow in the Hutuo River basin, China. J Hydrol Eng 18:422–430

    Article  Google Scholar 

  • Ren G (2006) Climate change and China’s water resources. China Meteorology Press, Beijing (in Chinese)

    Google Scholar 

  • Wang G, Zhang J, He R (2007) Comparison of hydrological models in the middle reach of the Yellow River. IAHS Publ 311:158–163

    Google Scholar 

  • Wang G, Zhang J, Jin J, Thomas C, Roger C, Bao Z, Liu C, Liu Y, Yan X (2012) Assessing water resources in China using PRECIS and VIC model. Hydrol Earth Syst Sci 16(1):231–240

    Article  Google Scholar 

  • Wang G, Yan X, Zhang J, Liu C, Jin J, Bao Z (2013a) Detecting evolution trends in the recorded runoff from the major rivers in China during 1950–2010. J Water Clim Chang 4(3):252–264

    Article  Google Scholar 

  • Wang G, Zhang J, Xuan Y, Jin J, Bao Z, He R, Liu C, Liu Y, Yan X (2013b) Simulating the impact of climate change on runoff in a typical river catchment of the Loess plateau, China. J Hydrometeorol 14(5):1553–1561

    Article  Google Scholar 

  • Wang G, Zhang J, Jin J, Liu Y, He R, Bao Z, Liu C, Li Y (2014) Regional calibration of a water balance model for estimating stream flow in ungauged areas of the Yellow River Basin. Quat Int 336:65–72

    Article  Google Scholar 

  • Xu H, Taylor R, Xu Y (2011) Quantifying uncertainty in the impacts of climate change on river discharge in sub-catchments of the Yangtze and Yellow River Basins, China. Hydrol Earth Syst Sci 15:333–344

    Article  Google Scholar 

  • Yao YB, Zhang Q, Wang JS, Shang JL, Wang Y, Shi J, Han LY (2014) The response of drought to climate warming in southwest in China. Ecol Environ 9:1409–1417

    Google Scholar 

  • Zhang Y, Wang G (2007) Impact of climate change on hydrology and water resources. China Science Press, Beijing (in Chinese)

    Google Scholar 

  • Zhang J, Wang G (2014) Variation of stream flow and quantitative identification for attribution. Science Press, Beijing (in Chinese)

    Google Scholar 

  • Zhang Q, Singh V, Sun P, Chen X, Zhang Z, Li J (2011) Precipitation and streamflow changes in China: changing patterns, causes and implications. J Hydrol 410:204–216

    Article  Google Scholar 

  • Zhang Q, Gu X, Singh V, Kong D, Chen X (2015a) Spatiotemporal behavior of floods and droughts and their impacts on agriculture in China. Glob Planet Chang 131:63–72

    Article  Google Scholar 

  • Zhang Q, Gu X, Singh V, Xiao M, Chen X (2015b) Evaluation of flood frequency under non-stationarity resulting from climate indices and reservoir indices in the East River basin, China. J Hydrol 527:565–575

    Article  Google Scholar 

  • Zhao Y, Tu Z, Jia J, Yu X (2014) Estimating the sensitivity of annual runoff to changes in climate and land use in the Loess Plateau, China. J Soil Water Conserv 69(3):221–230

    Article  Google Scholar 

Download references

Acknowledgments

This study has been supported financially by the National Natural Science Foundation of China (Grant 41371063, 41330854), the National Basic Research Program on Global Change of China (Grant 2010CB951103), and the International Science & Technology Cooperation Program of China (Grant No. 2014DFA71910), and thanks also to the anonymous reviewers and editors.

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Correspondence to Guoqing Wang.

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Wang, G., Zhang, J., He, R. et al. Runoff sensitivity to climate change for hydro-climatically different catchments in China. Stoch Environ Res Risk Assess 31, 1011–1021 (2017). https://doi.org/10.1007/s00477-016-1218-6

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