Recognition method for mid- to long-term runoff forecasting factors based on global sensitivity analysis in the Nenjiang River Basin

被引:20
|
作者
Li, Hongyan [1 ]
Xie, Miao [1 ]
Jiang, Shan [1 ]
机构
[1] Jilin Univ, Key Lab Groundwater Resources & Environm, Minist Educ, Changchun 130021, Jilin Province, Peoples R China
基金
中国国家自然科学基金;
关键词
forecasting factor; global sensitivity analysis; mid- to long-term runoff forecasting; Nenjiang River Basin; PREDICTION; OUTPUT; MODEL;
D O I
10.1002/hyp.9211
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Mid- to long-term runoff forecasting is important to China. Forecasting based on physical causes has become the trend of this field, and recognition of key factors is central to recent development. Here, global sensitivity analysis based on back-propagation arithmetic was used to calculate the sensitivity of up to 24 factors that affect runoff in the Nenjiang River Basin. The following five indices were found to be key factors for mid- to long-term runoff forecasting during flood season: Tibetan Plateau B, index of the strength of the East Asian trough, index of the area of the northern hemisphere polar vortex, zonal circulation index over the Eurasian continent and index of the strength of the subtropical high over the western Pacific. The hydrological climate of the study area and the rainfallrunoff laws were then analysed in conjunction with its geographical position and topographic condition. The rationality of the results can be demonstrated from the positive analysis point of view. The results of this study provide a general method for selection of mid- to long-term runoff forecasting factors based on physical causes. Copyright (c) 2012 John Wiley & Sons, Ltd.
引用
收藏
页码:2827 / 2837
页数:11
相关论文
共 50 条
  • [31] New fuzzy neural network-Markov model and application in mid- to long-term runoff forecast
    Shi, Biao
    Hu, Chang Hua
    Yu, Xin Hua
    Hu, Xiao Xiang
    HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES, 2016, 61 (06): : 1157 - 1169
  • [32] Finite element analysis of cementless femoral stems based on mid- and long-term radiological evaluation
    Matsuyama, Kanehiro
    Ishidou, Yasuhiro
    Guo, Yong-Ming
    Kakoi, Hironori
    Setoguchi, Takao
    Nagano, Satoshi
    Kawamura, Ichiro
    Maeda, Shingo
    Komiya, Setsuro
    BMC MUSCULOSKELETAL DISORDERS, 2016, 17
  • [33] EXPECTED MID- AND LONG-TERM CHANGES IN DROUGHT HAZARD FOR THE SOUTH-EASTERN CARPATHIAN BASIN
    Mezosi, Gabor
    Blanka, Viktoria
    Ladanyi, Zsuzsanna
    Bata, Teodora
    Urdea, Petru
    Frank, Anna
    Meyer, Burghard C.
    CARPATHIAN JOURNAL OF EARTH AND ENVIRONMENTAL SCIENCES, 2016, 11 (02): : 355 - 366
  • [34] Prevalence of arrhythmias and their risk factors mid- and long-term after the arterial switch operation
    Hayashi, George
    Kurosaki, Kenichi
    Echigo, Shigeyuki
    Kado, Hideki
    Fukushima, Norihide
    Yokota, Michio
    Niwa, Kouichirou
    Shinohara, Tokuko
    Nakazawa, Makoto
    PEDIATRIC CARDIOLOGY, 2006, 27 (06) : 689 - 694
  • [35] Prevalence of Arrhythmias and Their Risk Factors Mid- and Long-Term After the Arterial Switch Operation
    George Hayashi
    Kenichi Kurosaki
    Shigeyuki Echigo
    Hideki Kado
    Norihide Fukushima
    Michio Yokota
    Kouichirou Niwa
    Tokuko Shinohara
    Makoto Nakazawa
    Pediatric Cardiology, 2006, 27 : 689 - 694
  • [36] Factors independently associated with mid- and long-term prognosis differ from each other
    Harjola, V. -P.
    Lassus, J. P. E.
    Siirila-Waris, K.
    Peuhkurinen, K. J.
    Nieminen, M. S.
    EUROPEAN HEART JOURNAL, 2011, 32 : 134 - 134
  • [37] Mid- and long-term reproducibility of noninvasive measurements of spontaneous arterial baroreflex sensitivity in healthy volunteers
    Herpin, D
    Ragot, S
    AMERICAN JOURNAL OF HYPERTENSION, 1997, 10 (07) : 790 - 797
  • [38] Physically Based Simulating Long-Term Dynamics of Diurnal Variations of River Runoff and Snow Water Equivalent in the Kolyma River Basin
    Gusev, E. M.
    Nasonova, O. N.
    Dzhogan, L. Ya.
    WATER RESOURCES, 2015, 42 (06) : 834 - 841
  • [39] Physically based simulating long-term dynamics of diurnal variations of river runoff and snow water equivalent in the Kolyma River Basin
    E. M. Gusev
    O. N. Nasonova
    L. Ya. Dzhogan
    Water Resources, 2015, 42 : 834 - 841
  • [40] The mid and long-term load forecast method based on synthesis best fitting forecasting model
    Li, Hwen
    Gao, Shan
    2008 THIRD INTERNATIONAL CONFERENCE ON ELECTRIC UTILITY DEREGULATION AND RESTRUCTURING AND POWER TECHNOLOGIES, VOLS 1-6, 2008, : 1493 - 1498