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Runoff Response of Zamu River Basin to IPCC Climate Change Scenarios in Northwest China

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 399))

Abstract

Predicting runoff response to climate change is useful in making the decision of water resources management in arid region. This study investigated the impact of climate change on the runoff of Zamu River, one of the inland rivers in the arid region of northwest China using Soil and Water Assessment Tool (SWAT) model. Climate-change was predicted by the UK Hadley Centre’s Climate Model (HadCM3) under IPCC A2 and B2 scenarios, and downscaled by statistical downscaling model (SDSM) for two periods: 1961–1990 (control) and 2010–2099 (scenario) to drive the SWAT model. SDSM predicted an increase trend of maximum and minimum temperature and precipitation in the study area during the period of 2010–2099. Simulated runoff under IPCC SRES A2 and B2 scenarios changed by -10.6% - +1.17% and - 4% - +13%, respectively. The runoff tended to decline more significantly under SRES A2 (high GGa emissions) than under SRES B2 (low GGa emissions) in the future. The linear trend values were -0.048 and -0.018, respectively.

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References

  1. Intergovernmental Panel on Climate Change (IPCC), Climate Change 2007: the Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA (2007)

    Google Scholar 

  2. Sefton, C.E.M., Boorman, D.B.: A regional investigation of climate change impacts on UK steamflows. Journal of Hydrology 195, 26–44 (1997)

    Article  Google Scholar 

  3. Guo, S.L., Wang, J.X., Xiong, L.H., Ying, A.W., Li, D.F.: A macro-scale and semi-distributed monthly water balance model to predict climate change impacts in China. Journal of Hydrology 268, 1–15 (2002)

    Article  Google Scholar 

  4. Chen, M., Pollard, D., Barron, E.J.: Hydrologic processes in China and their association with summer precipitation anomalies. Journal of Hydrology 301, 14–28 (2005)

    Article  Google Scholar 

  5. Hans, T.: The influence of climate change on stream flow in Danish rivers. Journal of Hydrology 333, 226–238 (2007)

    Article  Google Scholar 

  6. Gardner, L.R.: Assessing the effect of climate change on mean annual runoff. Journal of Hydrology 379, 351–359 (2009)

    Article  Google Scholar 

  7. Gleick: Methods for evaluating the regional hydrologic impacts of global climatic changes. Journal of Hydrology 88(1), 97–116 (1986)

    Article  Google Scholar 

  8. Jones, R.N., Chie, F.H.S., Boughton, W.C., Zhang, L.: Estimating the sensitivity of mean annual runoff to climate change using selected hydrological models. Advances in Water Resources 29, 1419–1429 (2006)

    Article  Google Scholar 

  9. Vaze, J., Post, D.A., Chiew, F.H.S., Perraud, J.M., Viney, N.R., Teng, J.: Climate non-stationarity – Validity of calibrated rainfall–runoff models for use in climate change studies. Journal of Hydrology 394, 447–457 (2010)

    Article  Google Scholar 

  10. Zarghami, M., Abdi, A., Babaeian, I., Hassan, Y., Kana, R.: Impacts of climate change on runoffs in East Azerbaijan, Iran. Global and Planetary Change 78, 137–146 (2011)

    Article  Google Scholar 

  11. Kling, H., Fuchs, M., Paulin, M.: Runoff conditions in the upper Danube basin under an ensemble of climate change scenarios. Journal of Hydrology (424-425), 264–277 (2012)

    Article  Google Scholar 

  12. Nunes, J.P., Seixas, J., Keizer, J.J.: Modeling the response of within-storm runoff and erosion dynamics to climate change in two Mediterranean watersheds: A multi-model, multi-scale approach to scenario design and analysis. Catena 102, 27–39 (2013)

    Article  Google Scholar 

  13. Viner, D., Hulme, M., Raper, S.C.B.: Climate change scenarios for the assessments of the climate change on regional ecosystems. J. Therm. Biol. 20(1/2), 175–190 (1995)

    Article  Google Scholar 

  14. Booij, M.J.: Impact of climate change on river flooding assessed with different spatial model resolutions. Journal of Hydrology 303, 176–198 (2005)

    Article  Google Scholar 

  15. Nigel, W.A.: Climate change and global water resources. Global Environmental Change (9), 31–49 (1999)

    Google Scholar 

  16. Nigel, W.A.: Relative effects of multi-decadal climatic variability and changes in the mean and variability of climate due to global warming: future streamflows in Britain. Journal of Hydrology 270, 195–213 (2003)

    Article  Google Scholar 

  17. Sperna, W.F.C., Van, L.P.H., Weerts, A.H., Bierken, M.F.P.: Extracting information from an ensemble of GCMs to reliably assess future global runoff chang. Journal of Hydrology 412-413, 66–75 (2012)

    Article  Google Scholar 

  18. Wilby, R.L., Dawson, C.W., Barrow, E.M.: SDSM – a decision support tool for the assessment of regional climate change impacts. Environmental and Modelling Software 17, 145–157 (2001)

    Article  Google Scholar 

  19. Shivam, T., Sriniva, V.V., Nanjundiah, R.S.: Downscaling of precipitation for climate change scenarios: A support vector machine approach. Journal of Hydrology 330, 621–640 (2006)

    Article  Google Scholar 

  20. Arnold, J.G., Srinivasan, R., Muttiah, R.S., Williams, J.R.: Large area hydrologic modeling and assessment part I: model development. American Water Resources Association 34(1), 73–89 (1998)

    Article  Google Scholar 

  21. Arnell, N.W.: Factors controlling the effects of climate change on river flow regimes in a humid temperate environment. Journal of Hydrology 132, 321–342 (1992)

    Article  Google Scholar 

  22. Lan, Y.C., Ding, Y.J., Liu, J.Q., Kang, E.S., Wei, Z.: Change of Water Resources in Mountainous Area of Heihe River under Global Warming Scene. Journal of Desert Research 25, 863–868 (2005)

    Google Scholar 

  23. Andersson, L.W.J., Martin, C.T.: Impact of climate change and development scenarios on flow patterns in the Okavango River. Journal of Hydrology 331, 43–57 (2006)

    Article  Google Scholar 

  24. Chiew, F.S., Teng, J., Vaze, J., Post, D.A.: Influence of global climate model selection on runoff impact assessment. Journal of Hydrology 379, 172–180 (2009)

    Article  Google Scholar 

  25. Julie, W., Martin, C.T., Denis, A.H., Anton, E., Dominic, K., Russel, L., Hubert, H.G.: Impact of climate change and development scenarios on flow patterns in the Okavango River. Journal of Hydrology 331, 43–57 (2006)

    Article  Google Scholar 

  26. Wang, S.F., Kang, S.Z., Zhang, L., Li, F.S.: Modeling the hydrological response to different land-use and climate change scenarios in the Zamu River Basin of Northwest China. Hydrological Processes 22, 2502–2510 (2008)

    Article  Google Scholar 

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Wang, S., Liu, X. (2013). Runoff Response of Zamu River Basin to IPCC Climate Change Scenarios in Northwest China. In: Bian, F., Xie, Y., Cui, X., Zeng, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2013. Communications in Computer and Information Science, vol 399. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41908-9_22

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  • DOI: https://doi.org/10.1007/978-3-642-41908-9_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41907-2

  • Online ISBN: 978-3-642-41908-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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