长江科学院院报 ›› 2018, Vol. 35 ›› Issue (6): 117-121,134.DOI: 10.11988/ckyyb.20170480

• 信息技术应用 • 上一篇    下一篇

拉萨河流域河宽与地形结构因子相互关系分析

蒋成伟a,b,刘金涛a,b,林璐a,b,许珊珊a,b,姬海娟a,b   

  1. 河海大学 a.水文水资源学院;b.水文水资源与水利工程科学国家重点实验室,南京 210098
  • 收稿日期:2017-04-26 修回日期:2017-06-27 出版日期:2018-06-01 发布日期:2018-06-16
  • 通讯作者: 刘金涛(1977-),男,河北唐山人,教授,博士,主要从事流域水文相似与模拟研究。E-mail: jtliu@hhu.edu.cn
  • 作者简介:蒋成伟(1992-),男,江苏泰州人,硕士研究生,主要从事流域水文相似与模拟研究。E-mail:1349633562@qq.com
  • 基金资助:
    国家自然科学基金项目(91647108);西藏自治区科技项目(2015XZ01432)

Correlation Between River Flow Width and Topographic Structure Factors in Lhasa River Drainage Basin

JIANG Cheng-wei1, 2, LIU Jin-tao1, 2, LIN Lu1, 2, XU Shan-shan1, 2, JI Hai-juan1, 2   

  1. 1.College of Hydrology and Water Resources,Hohai University,Nanjing 210098,China;
    2. State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China
  • Received:2017-04-26 Revised:2017-06-27 Online:2018-06-01 Published:2018-06-16

摘要: 利用Google Earth遥感影像,测量了拉萨河流域451个局部河段的河流水面宽度,得出了10个主要河段的平均河宽。研究中,分别点绘了10个主要河段的平均河宽与5种地形结构因子(河流纵比降、弯曲度、凹度、河流上游集水面积、流域平均坡度)的相关图,采用线性函数、指数函数、对数函数以及幂函数4种函数对其进行相关性分析。结果发现,在5种因子中,河流水面宽度与上游集水面积相关性最好,当用线性函数拟合时确定性系数达到了0.81;河流的纵比降与河宽的相关性也较好,当采用指数函数与幂函数拟合时,两者的确定性系数均为0.76。研究探讨拉萨河流域河宽和地形结构因子的相互关系对认识青藏高原河流地貌特征规律以及提高无资料流域河流流量和总水量预测的能力等均有重要意义。

关键词: 拉萨河流域, 河流水面宽度, 地形结构因子, 相关性分析, Google Earth

Abstract: The average river flow width of ten main river segments in Lhasa River drainage basin were obtained with the help of remote sensing data of Google Earth after gauging the river width of 451 reaches. On this premise, the correlation between river flow width and five topographic factors, inclusive of river’s longitudinal slope, river’s tortuosity, river’s concavity, upstream catchment area and catchment average slope, were plotted with four different functionslinear function, exponential function, logarithmic function, and power function. Results implied that, among the five factors, upstream catchment area is of the largest correlation with river flow width with the coefficient of certainty amounting to 0.81 when fitted by linear function; longitudinal slope of river also has a remarkable impact on river flow width, with the coefficient of certainty reaching 0.76 fitted by power function and exponential function. Researching the correlation between river flow width and topographic structure factors in Lhasa River drainage basin would be of crucial significance for us to understanding the river geomorphology in Qinghai-Tibet Plateau and improving our ability of estimating flow rate and total flow amount in ungauged basins.

Key words: Lhasa River basin, river flow width, topographic structure factors, correlation analysis, Google Earth

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