The Possible Incoming Runoff Under Extreme Rainfall Event in the Fenhe River Basin

被引:3
|
作者
Jian, Shengqi [1 ]
Yin, Changyan [1 ]
Wang, Yafei [1 ]
Yu, Xin [2 ]
Li, Yong [2 ]
机构
[1] Zhengzhou Univ, Coll Water Conservancy Sci & Engn, Zhengzhou, Peoples R China
[2] Yellow River Conservancy Commiss, Yellow River Inst Hydraul Res, Zhengzhou, Peoples R China
基金
中国博士后科学基金;
关键词
extreme rainfall event; rainfall event; jingle sub-basin; runoff prediction; regression analysis; PRECIPITATION EVENTS; TRENDS; IMPACT; CHINA; PATTERNS; CLIMATE;
D O I
10.3389/fenvs.2022.812351
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Prediction of runoff is of great significance for the sustainable utilization of water resources and flood control and disaster reduction in the basin. In this study, a method for predicting the runoff caused by extreme sub-rainfall events was constructed based on the identification of extreme rainfall events, Mann-Kendall Test, R/S analysis, and regression analysis. The method was applied to the Jingle sub-basin, and the results showed that the extreme precipitation in this basin will maintain a slight rising trend in the future, assuming that the climate and underlying conditions remain the same as they were in the current scenario. There is a more stable correlational relationship between rainfall characteristic factors and runoff in extreme rainfall events. The extreme precipitation of 1-5 consecutive days under the 100a return period designed by the hydrological frequency method is 38.74, 60.01, 66.00, 71.44, and 73.69 mm, respectively, and the possible runoff predicted by the four empirical formulas is 1295-2495, 2108-4935, 2408-5801, and 3051-7062 x 10(4) m(3), respectively. The rainfall designed by the hydrological frequency combination method is 203.64 mm, and the possible runoff predicted by the four empirical formulas is 2.8-5.3 x 10(8) m(3). This study can provide a new reference for predicting the possible incoming runoff under extreme sub-rainfall events.
引用
收藏
页数:14
相关论文
共 50 条
  • [1] Rainfall–runoff simulations of extreme monsoon rainfall events in a tropical river basin of India
    Aradhana Yaduvanshi
    Rajat K. Sharma
    Sarat C. Kar
    Anand K. Sinha
    [J]. Natural Hazards, 2018, 90 : 843 - 861
  • [2] Rainfall-runoff simulations of extreme monsoon rainfall events in a tropical river basin of India
    Yaduvanshi, Aradhana
    Sharma, Rajat K.
    Kar, Sarat C.
    Sinha, Anand K.
    [J]. NATURAL HAZARDS, 2018, 90 (02) : 843 - 861
  • [3] Event-based rainfall-runoff modelling of the Kelantan River Basin
    Basarudin, Z.
    Adnan, N. A.
    Latif, A. R. A.
    Tahir, W.
    Syafiqah, N.
    [J]. 8TH INTERNATIONAL SYMPOSIUM OF THE DIGITAL EARTH (ISDE8), 2014, 18
  • [4] Developing an integrated multiscale rainfall-runoff and inundation model: Application to an extreme rainfall event in Marikina-Pasig River Basin, Philippines
    Dasallas, Lea
    An, Hyunuk
    Lee, Seungsoo
    [J]. JOURNAL OF HYDROLOGY-REGIONAL STUDIES, 2022, 39
  • [5] An extreme rainfall/runoff event in Arctic Alaska
    Kane, DL
    McNamara, JP
    Yang, DQ
    Olsson, PQ
    Gieck, RE
    [J]. JOURNAL OF HYDROMETEOROLOGY, 2003, 4 (06) : 1220 - 1228
  • [6] Quantifying Diyala River basin rainfall-runoff models for normal and extreme weather events
    Naqi, Noor Mahdi
    Al-Madhhachi, Abdul-Sahib T.
    Al-Jiboori, Monim H.
    [J]. WATER PRACTICE AND TECHNOLOGY, 2022, 17 (08) : 1553 - 1569
  • [7] Simulation and attribution analysis of runoff-sediment in the Upper Basin of Fenhe River, China
    Liu, Jie
    Chang, Ke
    Zhu, Xueping
    Wang, Xueyao
    Lin, Binbin
    Cai, Wenjun
    [J]. JOURNAL OF WATER AND CLIMATE CHANGE, 2024, 15 (07) : 2961 - 2977
  • [8] Effect of satellite based rainfall products on river basin responses of runoff simulation on flood event
    Pakoksung K.
    Takagi M.
    [J]. Modeling Earth Systems and Environment, 2016, 2 (3)
  • [9] RAINFALL-RUNOFF CONDITIONS OF THE FRYSAVKA RIVER BASIN
    Masicek, Tomas
    Toman, Frantisek
    [J]. BIOKLIMA 2010, 2010, : 259 - 268
  • [10] Impact of Spatial Rainfall Scenarios on River Basin Runoff Simulation a Nan River Basin Study Using the Rainfall-Runoff-Inundation Model
    Pakoksung, Kwanchai
    [J]. ENG, 2024, 5 (01): : 51 - 69