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.]
沂河流域暴雨径流变化特征研究
- Title:
- Investigating Stormflow Variation Characteristics in the Yihe River Basin
- 文章编号:
- 1005-3409(2023)04-0194-09
- 关键词:
- 暴雨径流; 水文信号; Lyne-Hollick数字滤波法; 气候变化; 沂河流域
- Keywords:
- stormflow; hydrological signature; Lyne-Hollick digital filter method; climate change; the Yihe River Basin
- 分类号:
- P333.2
- 文献标志码:
- A
- 摘要:
- [目的]探究气候因素驱动下沂河流域暴雨径流的变化规律,阐释流域暴雨径流的影响因素,为深入理解流域水文响应过程和水资源管理提供科学参考。[方法]利用改进后的Lyne-Hollick数字滤波法估算了沂河流域的暴雨径流量,通过水文信号方法与皮尔逊相关系数法,定量分析沂河流域暴雨径流的变化特征及影响因素。[结果](1)1975—2000年,流域年均暴雨径流指数SFI呈缓慢下降趋势(R2=0.37,p<0.01),年际SFI下降率0.048/10 a,暴雨径流占河川径流比重下降;(2)年均暴雨径流量呈波动增加趋势(R2=0.04,p=0.35),于1998年达到研究时段峰值;(3)暴雨径流量年内季节分配差异显著,年内暴雨径流量峰值出现在7—9月,夏季暴雨径流Qs(sf)与冬季暴雨径流Qw(sf)差异较大,高暴雨径流变化指数QHV、暴雨径流变差系数CV(sf)总体呈上升趋势,低暴雨径流量变化指数QLV呈下降趋势;(4)1981—2000年,温度与水文信号大致呈负相关关系,与SFI的相关性最为显著(R=-0.60,p<0.01),此外日照时数与太阳辐射量也是影响SFI的主要因素(R分别为0.63,0.57,p<0.01),降雨量分别与年平均暴雨径流量Qm(sf)、95%(95th)径流量分位数Qsf95及99%(99th)径流量分位数Qsf99呈极强的正相关性(R分别为0.87,0.84,0.86,p<0.01)。[结论]沂河流域暴雨径流量呈增加趋势,且具有较大的季节变率,降雨是影响该流域暴雨径流变化的主要因素,未来可利用新方法对流域暴雨径流变化进行多尺度深入解析。
- 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 〔Qs(sf)〕 also revealed a large difference to the average winter stormflow 〔Qw(sf)〕, and the variation index of high stormflow(QHV)and uneven coefficient 〔CV(sf)〕 showed a significant increasing trend, while the variation index of low stormflow(QLV)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 Qm(sf), 95%(95th)as well as 99%(99th)percentiles stormflow(Qsf95 and Qsf99, 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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备注/Memo
收稿日期:2022-07-26 修回日期:2022-09-14
资助项目:国家自然科学基金项目(42101038); 山东省自然科学基金项目(ZR2019BD059); 中国科学院大学生创新实践训练计划(20224000468)
第一作者:张晓钰(1999—),女,山东泰安人,硕士研究生,研究方向为水文水资源、沉积环境演变。E-mail:51213904027@stu.ecnu.edu.cn
通信作者:张军龙(1988—),男,陕西咸阳人,博士,副教授,主要从事水文水资源研究。E-mail:Junlong.Zhang@sdnu.edu.cn