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Impacts of climate change on streamflow in the upper Yangtze River basin

Author

Listed:
  • Buda Su

    (Chinese Academy of Sciences
    Nanjing University of Information Science &Technology
    National Climate Center, China Meteorological Administration)

  • Jinlong Huang

    (Chinese Academy of Sciences)

  • Xiaofan Zeng

    (Huazhong University of Science and Technology)

  • Chao Gao

    (Anhui Normal University)

  • Tong Jiang

    (Nanjing University of Information Science &Technology
    National Climate Center, China Meteorological Administration)

Abstract

The impacts of climate change on streamflow in the upper Yangtze River basin were studied using four hydrological models driven by bias-corrected climate projections from five General Circulation Models under four Representative Concentration Pathways. The basin hydrological responses to climate forcing in future mid-century (2036–2065) and end-century (2070–2099) periods were assessed via comparison of simulation results in these periods to those in the reference period (1981–2010). An analysis of variance (ANOVA) approach was used to quantify the uncertainty sources associated with the climate inputs and hydrological model structures. Overall, the annual average discharge, seasonal high flow, and daily peak discharge were projected to increase in most cases in the twenty-first century but with considerable variability between models under the conditions of increasing temperature and a small to moderate increase in precipitation. Uncertainties in the projections increase over the time and are associated with hydrological model structures, but climate inputs represent the largest source of uncertainty in the upper Yangtze projections. This study assessed streamflow projections without considering water management practices within the basin.

Suggested Citation

  • Buda Su & Jinlong Huang & Xiaofan Zeng & Chao Gao & Tong Jiang, 2017. "Impacts of climate change on streamflow in the upper Yangtze River basin," Climatic Change, Springer, vol. 141(3), pages 533-546, April.
  • Handle: RePEc:spr:climat:v:141:y:2017:i:3:d:10.1007_s10584-016-1852-5
    DOI: 10.1007/s10584-016-1852-5
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    References listed on IDEAS

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    1. A. Kay & H. Davies & V. Bell & R. Jones, 2009. "Comparison of uncertainty sources for climate change impacts: flood frequency in England," Climatic Change, Springer, vol. 92(1), pages 41-63, January.
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    2. Shanshan Wen & Buda Su & Yanjun Wang & Jianqing Zhai & Hemin Sun & Ziyan Chen & Jinlong Huang & Anqian Wang & Tong Jiang, 2020. "Comprehensive evaluation of hydrological models for climate change impact assessment in the Upper Yangtze River Basin, China," Climatic Change, Springer, vol. 163(3), pages 1207-1226, December.
    3. Qin, Pengcheng & Xu, Hongmei & Liu, Min & Xiao, Chan & Forrest, Kate E. & Samuelsen, Scott & Tarroja, Brian, 2020. "Assessing concurrent effects of climate change on hydropower supply, electricity demand, and greenhouse gas emissions in the Upper Yangtze River Basin of China," Applied Energy, Elsevier, vol. 279(C).
    4. Zhe Yuan & Jijun Xu & Yongqiang Wang, 2018. "Projection of Future Extreme Precipitation and Flood Changes of the Jinsha River Basin in China Based on CMIP5 Climate Models," IJERPH, MDPI, vol. 15(11), pages 1-17, November.
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    6. Pengcheng Qin & Hongmei Xu & Min Liu & Lüliu Liu & Chan Xiao & Iman Mallakpour & Matin Rahnamay Naeini & Kuolin Hsu & Soroosh Sorooshian, 2022. "Projected impacts of climate change on major dams in the Upper Yangtze River Basin," Climatic Change, Springer, vol. 170(1), pages 1-24, January.
    7. Lang Yi & Ying Sun & Xiao Ouyang & Shaohua Yin, 2022. "Identifying the Impacts of Climate Change and Human Activities on Vegetation Cover Changes: A Case Study of the Yangtze River Basin, China," IJERPH, MDPI, vol. 19(10), pages 1-24, May.
    8. Li Yu & Fengxue Gu & Mei Huang & Bo Tao & Man Hao & Zhaosheng Wang, 2020. "Impacts of 1.5 °C and 2 °C Global Warming on Net Primary Productivity and Carbon Balance in China’s Terrestrial Ecosystems," Sustainability, MDPI, vol. 12(7), pages 1-17, April.
    9. Li, He & Liu, Pan & Guo, Shenglian & Cheng, Lei & Huang, Kangdi & Feng, Maoyuan & He, Shaokun & Ming, Bo, 2021. "Deriving adaptive long-term complementary operating rules for a large-scale hydro-photovoltaic hybrid power plant using ensemble Kalman filter," Applied Energy, Elsevier, vol. 301(C).

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