60年来洞庭湖区进出湖径流特征分析

  • 胡光伟 1, 3 ,
  • 毛德华 , 1 ,
  • 李正最 2 ,
  • 田朝晖 3 ,
  • 冯畅 1
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  • 1.湖南师范大学资源与环境科学学院, 湖南 长沙 410081
  • 2.湖南省水文水资源勘测局, 湖南 长沙 410007
  • 3.湖南省国土资源规划院, 湖南 长沙 410007
毛德华,教授。E-mail:

作者简介:胡光伟(1983-),男,河南固始人,博士研究生,主要从事湖泊水资源与水环境、水旱灾害、水土资源利用等研究。E-mail:

收稿日期: 2013-04-08

  要求修回日期: 2013-06-10

  网络出版日期: 2013-08-16

基金资助

2012年湖南省研究生科研创新项目(CX2012B210)、2012年度高等学校博士学科点专项科研基金项目(20124306110009)、湖南省重点学科建设项目(2011001)资助

Analysis on the Runoff Characteristics in and Out Dongting Lake in Recent 60 Years

  • HU Guang-wei 1, 3 ,
  • MAO De-hua , 1 ,
  • LI Zheng-zui 2 ,
  • TIAN Zhao-hui 3 ,
  • FENG Chang 1
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  • 1.Hunan Normal University Resources and Environmental Science Institute, Changsha,Hunan 410081, China
  • 2.Hydrology and Water Resources Survey Bureau of Hunan Province, Changsha, Hunan 410007, China
  • 3.Hunan Planning Institute of Land Resources, Changsha, Hunan 410007, China

Received date: 2013-04-08

  Request revised date: 2013-06-10

  Online published: 2013-08-16

Copyright

本文是开放获取期刊文献,在以下情况下可以自由使用:学术研究、学术交流、科研教学等,但不允许用于商业目的.

摘要

采用集中度与集中期、M-K趋势检验法、变差系数法等方法对洞庭湖入湖径流河流(荆江三口、湖南四水)和出湖径流(城陵矶)年径流量序列进行分析。结果显示:① 洞庭湖区径流集中期为每年6~7月份,最大径流出现时间为6月底7月初;径流集中期合成向量方向介于103.2~190.2°之间,均能够反映各河流进出湖径流量最大值出现的月份。② 径流变差系数介于0.194~0.761之间,说明径流年际变率大。各河流径流极值比均在0.6以上,径流量衰减较为明显。③ 从径流的丰枯交替规律来看,湖南四水水量分配相对较为平均。荆江三口以藕池口丰水年和枯水年概率最大,分别占到32.79%和57.38%,径流年际变化较为剧烈,不利于水资源的合理利用。

本文引用格式

胡光伟 , 毛德华 , 李正最 , 田朝晖 , 冯畅 . 60年来洞庭湖区进出湖径流特征分析[J]. 地理科学, 2014 , 34(1) : 89 -96 . DOI: 10.13249/j.cnki.sgs.2014.01.89

Abstract

In order to explore the runoff change characteristics in and out of the Dongting Lake Basin, using the annual runoff time series data, time series analysis was performed for nine stream flow gauging stations located at the main rivers of three outlets and Four Rivers (Xiang River, Zi River, Yuan River and Li River) in the Dongting Lake. The concentration degree and concentration period, Mann-Kendall trend test method, variation coefficient method and the runoff anomaly percentage were performed to analysis the annual runoff series of the main control hydrological station in Dongting Lake Area. The results showed that: ① The runoff concentration period of Dongting Lake Area mainly concentrated in June-July of each year, and the maximum runoff time is the end of June and early July. The flood occurred mainly in mid to late July. Runoff period synthetic vector directions are ranged from 103.2° to 190.2°, which can reflect the maximum runoff of the rivers in and out of the lake. The concentration period was in consistent with the actual runoff during the year distribution statistics. ② There is great variation of yearly runoff, with variation coefficient ranging from 0.194 to 0.761. It tells that the runoff stability is poorer. The ratios of extreme values are all above 0.6, and river runoff attenuation is more obvious. ③ Judging from the alternation regularity of runoff, frequency of enormously wet and dry year of Four Rivers Basin is lower than that of normal hydrological year. Namely, the frequency of normal hydrological year is relatively low in Four Rivers Basin. Frequency of enormously wet and dry year of Ouchikou is relatively high, accounted for 32.79% and 57.38% respectively. The interannual variation of runoff is relatively severe, which is not conducive to the rational use of water resources. It also implies that Dongting Lake Area is more frequent to encounter drought and flood disasters. Above conclusions show that the flood of the Dongting Lake is the emergence of flood the three outlets and Four Rivers Basin. But the flood is also controlled by the flood from the upper and middle reaches of Changjiang River. The long-term trend changes of stream runoff are controlled by the variation of climate changes, and impact caused by human activities and water conservancy project construction.

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The authors have declared that no competing interests exist.

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