Analysis of variation characteristics of runoff at multi-time scales under the influence of reservoir

被引:3
|
作者
Yan, B. [1 ,2 ]
Zhang, X. [3 ]
Chen, Y. B. [3 ]
Yao, L. Q. [1 ,2 ]
Huang, F. [4 ]
Chen, Q. H. [4 ]
Gao, Q. S. [1 ,2 ]
Zhang, L. G. [5 ]
Guo, L. D. [6 ]
机构
[1] Minist Water Resources China, Changjiang Water Resources Commiss, Changjiang River Sci Res Inst, Wuhan 430010, Peoples R China
[2] Hubei Key Lab Water Resources & Ecoenvironm Sci, Wuhan 430010, Peoples R China
[3] Minist Water Resources China, Changjiang Water Resources Commiss, Bur Hydrol, Wuhan 430010, Peoples R China
[4] Hohai Univ, Coll Hydrol & Water Resources, Nanjing 210098, Peoples R China
[5] Univ Nebraska, Sch Nat Resources, Lincoln, NE 68588 USA
[6] Hohai Univ, Business Sch, Nanjing 210098, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
CLIMATE-CHANGE;
D O I
10.1088/1755-1315/344/1/012165
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Reservoirs play a significant role in changing the natural hydrological conditions. This paper studies the change characteristics of runoff fluctuation caused by the Gangkouwan Reservoir in Shuiyangjiang River, and collects the hourly flow data from two hydrological stations upstream and downstream of the reservoir. Through the comparison of the uneven coefficient (C-V) and concentration degree (C-d) of the two stations, reflect the impact of the reservoir on runoff changes at two-time scales of intra-annual and intra-month. The results shown the Gangkouwan Station has significant changes in runoff distribution at intra-annual and intra-month scales, affected by the reservoir. For the intra-month runoff, the runoff process at Gangkouwan Station is more uniform than Hulesi station in the flood season, because the reservoir has to store water. In the dry season, the opposite is realized, because the reservoir needs to discharge water to generate electricity. This paper is more conducive to deepening the understanding of the impact of reservoir operations on hydrological processes.
引用
收藏
页数:10
相关论文
共 50 条
  • [41] Spillover Network Features from the Industry Chain View in Multi-Time Scales
    Feng, Sida
    Sun, Qingru
    Liu, Xueyong
    Xu, Tianran
    [J]. ENTROPY, 2022, 24 (08)
  • [42] Modeling and Analysis of Multi-time Scale Transient Characteristics of a Series Hybrid Power System
    Ying, Zhang
    Wen Xuhui
    Li Hongyang
    Ke, Li
    Lin, Wei Jia
    Wang Youlong
    [J]. 2019 22ND INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS 2019), 2019, : 5312 - 5316
  • [43] A novel way to detect correlations on multi-time scales, with temporal evolution and for multi-variables
    Naiming Yuan
    Elena Xoplaki
    Congwen Zhu
    Juerg Luterbacher
    [J]. Scientific Reports, 6
  • [44] Research on the relationship between rainfall and reference crop evapotranspiration with multi-time scales
    Zhang, Jinping
    Ding, Zhihong
    Yuan, Wenlin
    Zuo, Qiting
    [J]. PADDY AND WATER ENVIRONMENT, 2013, 11 (1-4) : 473 - 482
  • [45] Nonlinear Systems Identification using Dynamic Multi-Time Scales Neural Networks
    Han, Xuan
    Xie, Wen-Fang
    [J]. 2008 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING, VOLS 1 AND 2, 2008, : 448 - 453
  • [46] Analysis on the Characteristics of Surface Runoff and Baseflow in Qingshitan Reservoir
    Han, Pei-li
    Dai, Jun-feng
    Fang, Rong-jie
    Zheng, Yu-lin
    Xu, Qin-xue
    [J]. 2013 THIRD INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEM DESIGN AND ENGINEERING APPLICATIONS (ISDEA), 2013, : 350 - 353
  • [47] A novel way to detect correlations on multi-time scales, with temporal evolution and for multi-variables
    Yuan, Naiming
    Xoplaki, Elena
    Zhu, Congwen
    Luterbacher, Juerg
    [J]. SCIENTIFIC REPORTS, 2016, 6
  • [48] VARIATION OF RUNOFF CHARACTERISTICS UNDER CONSERVATION TILLAGE SYSTEMS
    YOO, KH
    ROCHESTER, EW
    [J]. TRANSACTIONS OF THE ASAE, 1989, 32 (05): : 1625 - 1630
  • [49] Robust adaptive nonlinear observer design via multi-time scales neural network
    Fu, Zhi-Jun
    Xie, Wen-Fang
    Na, Jing
    [J]. NEUROCOMPUTING, 2016, 190 : 217 - 225
  • [50] A multi-time scales model and control for hybrid stochastic production systems with quadratic cost
    Song, CY
    Sun, JP
    Li, P
    [J]. PROCEEDINGS OF THE 2004 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 2004, : 5022 - 5027