长江科学院院报 ›› 2014, Vol. 31 ›› Issue (2): 16-19.DOI: 10.3969/j.issn.1001-5485.2014.02.004

• 水资源与环境 • 上一篇    下一篇

长江源区1978—2009年径流极值序列变化趋势分析

褚茜茜a, 陈进b, 陈广才a   

  1. (长江科学院 a.水资源综合利用研究所;b.院长办公室, 武汉 430010)
  • 收稿日期:2013-01-30 修回日期:2014-01-27 出版日期:2014-01-26 发布日期:2014-01-27
  • 作者简介:褚茜茜(1990-),女,湖北潜江人,硕士研究生,主要从事水文水资源研究,(电话)027-82828101(电子信箱)chuconnie@163.com。
  • 基金资助:
    湖北省高端人才引领培养计划第一层次人选项目资助(2012-2017);水利部公益性行业科研专项项目(201101002)

Variation Trend of Extreme Runoff Series in the Source Region of Yangtze River from 1978 to 2009

CHU Xi-xi1, CHEN Jin2, CHEN Guang-cai1   

  1. 1.Water Resources Comprehensive Utilization Department, Yangtze River ScientificResearch Institute, Wuhan 430010, China; 2. Administration Office, Yangtze River Scientific Research Institute,Wuhan 430010, China
  • Received:2013-01-30 Revised:2014-01-27 Online:2014-01-26 Published:2014-01-27

摘要: 基于长江源区控制站沱沱河和直门达1978—2009年径流观测资料,采用相关分析法和Mann-Kendall法对两站的32 a的径流极值的变化趋势进行了详细分析。结果表明两站在近32 a中径流极值均有增加的趋势,但是沱沱河径流极大值增加趋势显著,直门达河径流极大值增加趋势不显著;两站径流极大值变化相关性显著。其主要原因是气候暖湿化趋势,地表植被变化以及降雨增多。分析结果对制定三江源保护规划,保护流域水资源,预防洪水发生和应对河流枯水变化也具有重要的参考价值。

关键词: 长江源区, 年径流极值变化, 气候变化, 植被变化

Abstract: The observed runoff data at Tuotuo river and Zhimenda river hydrometric stations in the source region of Yangtze River from 1978 to 2009 are analyzed through Mann-Kendall test and Relevant Analysis method to research the runoff sequence variation. Results show that the maximum annual runoff at both stations has an increasing trend. The maximum runoff increased remarkably in Tuotuo river but unobvious in Zhimenda river. Significant correlation was found between the maximum runoff variation at these two stations, which suggests that the variation of runoff extremum from 1978 to 2009 is mainly affected by warm and wet climate,vegetation coverage variation, and the increase of precipitation.The research result could be of great value for the planning of river source protection, water resource protection, flood prevention and dry season response.

Key words: the source region of Yangtze River, variation of annual maximum runoff, climate change, vegetation change

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