Water Resources Management

, Volume 29, Issue 8, pp 2563–2579 | Cite as

Implications of Modelled Climate and Land Cover Changes on Runoff in the Middle Route of the South to North Water Transfer Project in China

  • Lingcheng Li
  • Liping ZhangEmail author
  • Jun Xia
  • Christopher James Gippel
  • Renchao Wang
  • Sidong Zeng


Sustainable management of water for human uses and maintaining river health requires reliable information about the future availability of water resources. We quantified the separate and combined impacts of climate and land cover changes on runoff for the historical record and for modelled future scenarios in the upper Han River and Luan River, supply and demand zones respectively of the middle route of the South to North Water Transfer Project in China, the world’s largest inter-basin water transfer project. We used a precipitation-runoff model, averaged multiple climate model predictions combined with three emissions scenarios, a combined CA-Markov model to predict land cover change, and a range of statistical tests. Comparing baseline with 2050: climate change would cause an average reduction in runoff of up to 15 % in the upper Han River and up to 9 % in the Luan River catchment; a scenario involving increased forest cover would reduce runoff by up to 0.19 % in the upper Han River and up to 35 % in the Luan River; a scenario involving increased grass cover would increase runoff by up to 0.42 % in the upper Han River and up to 20 % in the Luan River. In the lower Luan River, the mean annual flow after 1998 fell to only 17 % of that of the baseline period, posing a serious threat to river health. This was explained largely by extraction of surface water and groundwater, rather than climate and land use change.


Runoff change Climate change Land cover change SWAT model CA-Markov model Water transfer 



This study was supported by the State Key Program of National Natural Science of China (NO. 51339004) and the National Natural Science Foundation of China (NO. 51279139 and NO. 51279139). The contribution of CJG was supported by the High-End Foreign Expert Recruitment Programme, administered by the State Administration of Foreign Experts Affairs, Central People’s Government of P.R. China. We acknowledge the modeling groups, the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and the WCRP’s Working Group on Coupled Modelling (WGCM) for their roles in making available the WCRP CMIP3 multi-model dataset. Support of this dataset is provided by the Office of Science, U.S. Department of Energy.


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Copyright information

© Springer Science+Business Media Dordrecht 2015

Authors and Affiliations

  • Lingcheng Li
    • 1
    • 3
  • Liping Zhang
    • 1
    • 2
    Email author
  • Jun Xia
    • 1
    • 3
  • Christopher James Gippel
    • 4
  • Renchao Wang
    • 1
  • Sidong Zeng
    • 1
    • 3
  1. 1.State Key Laboratory of Water Resources and Hydropower Engineering ScienceWuhan UniversityWuhanPeople’s Republic of China
  2. 2.College of Tourism Culture and Geographical ScienceHuanggang Normal UniversityHuanggangPeople’s Republic of China
  3. 3.Hubei Collaborative Innovation Center for Water Resources SecurityWuhan UniversityWuhanPeople’s Republic of China
  4. 4.Australian Rivers InstituteGriffith UniversityNathanAustralia

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