Annual runoff change in the headstream of Yangtze River and its relation to precipitation and air temperature

被引:28
|
作者
Xiong, Lihua [1 ]
Yu, Kunxia [1 ]
Zhang, Honggang [2 ]
Zhang, Liping [1 ]
机构
[1] Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Peoples R China
[2] Yangtze River Water Resources Commiss, Bur Hydrol, Wuhan 430010, Peoples R China
来源
HYDROLOGY RESEARCH | 2013年 / 44卷 / 05期
基金
中国国家自然科学基金;
关键词
air temperature; annual runoff; change trend; glacier runoff generation; Yangtze River; LAND-USE CHANGE; WATER-RESOURCES; BASIN; TRENDS; STREAMFLOW; DISCHARGE; CHINA; VARIABILITY; CHANGJIANG; FREQUENCY;
D O I
10.2166/nh.2012.120
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
We analyse the change trends of the annual and seasonal runoff series of the hydrological station Batang on the headstream of the Yangtze River over the period 1960-2007. The relations between runoff series and precipitation and temperature conditions are investigated, and the influence of the refreezing process of meltwater of the glaciers on the Yangtze River flow is examined with the proposed accumulated temperature deficit (ATD) index. It is found that annual runoff at the Batang station is not stable during the period 1960-2007. From 1960 to 1980, there was a rather strong decrease of 14.4 m(3) s(-1) year(-1) on average in spite of the statistically significant increase in air temperature and rather stable precipitation. It is argued that the annual rate of glacier runoff generation is possibly controlled by the ATD rather than by the direct air temperature. Seasonal analysis indicates that ATD might be of greater influence in autumn and winter in affecting runoff than in spring and summer. The research in this paper may be helpful in understanding how the hydro-climatic conditions affect runoff generation in the cold regions.
引用
收藏
页码:850 / 874
页数:25
相关论文
共 50 条
  • [31] Attribution of tropical sea surface temperature change on extreme precipitation over the Yangtze River Valley in 2020
    Wang, Qian
    Zhai, Panmao
    Zhou, Baiquan
    CLIMATE DYNAMICS, 2023, 61 (7-8) : 3417 - 3429
  • [32] Attribution of tropical sea surface temperature change on extreme precipitation over the Yangtze River Valley in 2020
    Qian Wang
    Panmao Zhai
    Baiquan Zhou
    Climate Dynamics, 2023, 61 : 3417 - 3429
  • [33] Precipitation, temperature and runoff analysis from 1950 to 2002 in the Yangtze basin, China
    Zhang, Q
    Jiang, T
    Gemmer, M
    Becker, S
    HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES, 2005, 50 (01): : 65 - 80
  • [34] Hydrologic Sensitivities of Colorado River Runoff to Changes in Precipitation and Temperature
    Vano, Julie A.
    Das, Tapash
    Lettenmaier, Dennis P.
    JOURNAL OF HYDROMETEOROLOGY, 2012, 13 (03) : 932 - 949
  • [35] Distinguishing the Relative Contribution of Environmental Factors to Runoff Change in the Headwaters of the Yangtze River
    Guo, Mengjing
    Li, Jing
    Wang, Yongsheng
    Bai, Peng
    Wang, Jiawei
    WATER, 2019, 11 (07)
  • [36] Prediction of future runoff change based on Budyko hypothesis in Yangtze River basin
    Guo, Shenglian
    Guo, Jiali
    Hou, Yukun
    Xiong, Lihua
    Hong, Xingjun
    Shuikexue Jinzhan/Advances in Water Science, 2015, 26 (02): : 151 - 160
  • [37] Study on the Annual Runoff Change and Its Relationship with Fractional Vegetation Cover and Climate Change in the Chinese Yellow River Basin
    Xu, Lin
    Mu, Hongxu
    Jian, Shengqi
    Li, Xinan
    WATER, 2024, 16 (11)
  • [38] Study on the runoff and sediment-producing effects of precipitation in headwater areas of the Yangtze River and Yellow River, China
    Li Yuanshou
    Wang Genxu
    Qin Dahe
    Zhao Lin
    Ding Yongjian
    ENVIRONMENTAL GEOLOGY, 2008, 56 (01): : 1 - 9
  • [39] Fifty-year climate change and its effect on annual runoff in the Tarim River Basin, China
    Chen Yaning
    Xu Changchun
    Hao Xingming
    Li Weihong
    Chen Yapeng
    Zhu Chenggang
    Ye Zhaoxia
    QUATERNARY INTERNATIONAL, 2009, 208 : 53 - 61
  • [40] Copula-Based Joint Drought Index Using Precipitation, NDVI, and Runoff and Its Application in the Yangtze River Basin, China
    Wei, Hongfei
    Liu, Xiuguo
    Hua, Weihua
    Zhang, Wei
    Ji, Chenjia
    Han, Songjie
    REMOTE SENSING, 2023, 15 (18)