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[1]ZHANG Xiaoyu,XIN Yi,ZHAI Yuyu,et al.Investigating Stormflow Variation Characteristics in the Yihe River Basin[J].Research of Soil and Water Conservation,2023,30(04):194-202.[doi:10.13869/j.cnki.rswc.2023.04.048.]

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Investigating Stormflow Variation Characteristics in the Yihe River Basin

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 30 Number of periods: 2023 04 Page number: 194-202 Column: Public date: 2023-06-10

Title:: Investigating Stormflow Variation Characteristics in the Yihe River Basin

Author(s):: ZHANG Xiaoyu, XIN Yi, ZHAI Yuyu, LYU Shixuan, LIU Qiang, ZHANG Yongqiang, SONG Jinxi, CHENG Lei, ZHANG Guotao, LI Zijun, ZHU Wenjun, ZHANG Junlong; (1.College of Geography and Environment, Shandong Normal University, Jinan 250358, China; 2.State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200241, China; 3.Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; 4.Department of Civil Engineering, University of Bristol, Bristol BS81TR, UK; 5.State Key Laboratory......)

Keywords:: stormflow; hydrological signature; Lyne-Hollick digital filter method; climate change; the Yihe River Basin

CLC:: P333.2

DOI:: 10.13869/j.cnki.rswc.2023.04.048.

Abstract:: [Objective] The stormflow variation characteristics under climate change in the Yihe River Basin were explored, and the controlling factors were unraveled, which would provide a scientific reference for hydrological responses and water resources management at the basin scale. [Methods] An improved Lyne-Hollick digital filter method was used to estimate the stormflow in the Yihe River basin. Hydrological signatures and correlation coefficient methods were used to quantitatively analyze the variation trends and influencing factors of the stormflow. [Results](1)From 1975 to 2000, the stormflow index(SFI, total stormflow to total streamflow)showed a decreasing trend(R²=0.37, p<0.01), the proportion of stormflow had decreased.(2)The stormflow showed a fluctuating and rising variation trend(R²=0.04, p=0.35), especially in the high-stormflow part.(3)The seasonal distribution of stormflow was uneven, and higher values occurred from July to September, the average summer stormflow 〔Q_s(sf)〕 also revealed a large difference to the average winter stormflow 〔Q_w(sf)〕, and the variation index of high stormflow(Q_HV)and uneven coefficient 〔C_V(sf)〕 showed a significant increasing trend, while the variation index of low stormflow(Q_LV)generally showed a decreasing trend.(4)From 1981 to 2000, a strong negative correlation was detected between temperature and SFI, sunshine duration and solar radiation were the main factors affecting SFI(R=0.63 and 0.57, p=0.01), and were also a negative correlation between temperature and other stormflow signatures. There was a strong positive correlation between rainfall and annual mean stormflow Q_m(sf), 95%(95th)as well as 99%(99th)percentiles stormflow(Q_sf95 and Q_sf99, with R=0.87, 0.84 and 0.86, respectively, p<0.01). [Conclusion] There was an increasing trend of stormflow with a relative larger seasonal variation. The precipitation is the main controlling factor influencing the stormflow variability. In future, it is hopeful to chase a deep understanding of stormflow characteristics with multiple scale-based approaches.

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Last Update: 2023-06-10