• Scopus
  • Chinese Science Citation Database (CSCD)
  • A Guide to the Core Journal of China
  • CSTPCD
  • F5000 Frontrunner
  • RCCSE
Advanced search
HUANG Jun, WU Pu-te, ZHAO Xi-ning. Experimental study on the nonlinear multi-parameter rainfall-runoff threshold mode[J]. Journal of Beijing Forestry University, 2011, 33(1): 84-89.
Citation: HUANG Jun, WU Pu-te, ZHAO Xi-ning. Experimental study on the nonlinear multi-parameter rainfall-runoff threshold mode[J]. Journal of Beijing Forestry University, 2011, 33(1): 84-89.
shu

Experimental study on the nonlinear multi-parameter rainfall-runoff threshold mode

  • 1 College of Water Resources and Architecture Engineering, Northwest A & F University,Yangling, Shaanxi, 712100, P.R. China; 2 National Engineering Research Center for Water Saving Irrigation at Yangling, Shaanxi, 712100, P.R. China; 3 Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling, Shaanxi, 712100, P.R. China.

More Information
  • Received Date: December 31, 1899
  • Revised Date: December 31, 1899
  • Published Date: January 29, 2011
    Graphical Abstract
    • Abstract
  • Rainfall-runoff threshold is the minimum rainfall producing surface runoff and it is an important parameter for the research of runoff and sediment yield law. In this paper, the field artificial rainfall simulation experiments were carried out, and the rainfall threshold for different vegetation covers was obtained using the traditional regression method. Moreover,a nonlinear multi-parameter rainfall-runoff threshold model was established to analyze the effects of other factors on rainfall-runoff threshold. The results indicated that the rainfall-runoff thresholds of four different control measurements (bare slope,ryegrass slope, purple medic slope, and spring wheat slope) determined by the traditional linear regression method were 9.4, 23.6, 15.8 and 19.5 mm, respectively. Considering the effects of rainfall intensity, vegetation coverage and antecedent soil water content on the rainfall-runoff threshold, a nonlinear multi-parameter rainfall-runoff threshold model was established by using multiple regression analysis.By this model, the rainfall-runoff thresholds of the four different control measurements mentioned above (bare slope,ryegrass slope,purple medic slope, and spring wheat slope) were obtained as 13.4, 23.7, 18.8 and 19.7 mm, respectively. The nonlinear multi-parameter rainfall-runoff threshold model was tested by measured slope runoff data, and the results show that the calculated and measured thresholds match well, which proves that it is feasible to apply the nonlinear multi-parameter rainfall-runoff threshold model to ascertain the rainfall-runoff threshold.
    • FullText(HTML)
    • References (0)
    • Related Articles

  • Related Articles

    [1]Chen Yaobing, Luo Kai, Li Meidong, Huang Xiufang, Liu Hanzhen, Wang Shuiqing, Chen Shenglin. Construction of tissue culture breeding system of Idesia polycarpa “Exuan 1”[J]. Journal of Beijing Forestry University, 2022, 44(12): 23-31. DOI: 10.12171/j.1000-1522.20210116
    [2]Wu Yijing, Zhao Tianyi, Wang Lu, Zhang Yiming, Cai Ming, Li Yunyuan, Liu Yan, Zhang Qixiang. Analysis on flower color of common garden plants in Beijing parks based on bees visual system[J]. Journal of Beijing Forestry University, 2022, 44(11): 100-110. DOI: 10.12171/j.1000-1522.20220054
    [3]Lei Lei, Li Qianxia, Yue Liran, Zhang Yanni. Flowering dynamics and pollination characteristics of Lysimachia davurica[J]. Journal of Beijing Forestry University, 2019, 41(6): 129-137. DOI: 10.13332/j.1000-1522.20180279
    [4]Gao Shumin, Yang Muhan, Zhu Yuanyuan, Zhou Yan. Role of CMLs in regulating the competition of plant pollen pollination[J]. Journal of Beijing Forestry University, 2019, 41(3): 143-150. DOI: 10.13332/j.1000-1522.20180375
    [5]Hu Shibao, Xin Rongshi, Guo Hongyan, Wang Xiaojie, Zhang Zibin, Cheng Jin. Accuracy detection of predicting pollinator from pollination syndromes: taking Cymbidium qiubeiense as an example[J]. Journal of Beijing Forestry University, 2018, 40(6): 101-110. DOI: 10.13332/j.1000-1522.20180055
    [6]YIN Dong-sheng, WEI Xiao-hui, SHEN Hai-long. Floral syndrome and breeding system of Physocarpus amurensis[J]. Journal of Beijing Forestry University, 2016, 38(1): 67-73. DOI: 10.13332/j.1000--1522.20150340
    [7]ZHANG Zi-bin, CHENG Jin, YANG Mei, CUI Jing, CHEN Yun-meng, DENG Zhen-hai, ZHAO Xiu-hai. Food-deceptive pollination of Vanda concolor (Orchidaceae)[J]. Journal of Beijing Forestry University, 2015, 37(6): 100-106. DOI: 10.13332/j.1000-1522.20140020
    [8]GAO Rui-he, WANG Zhuang, SHI Juan, LUO You-qing.. Characteristics of insect community and the spread of parasitic insects under environmental gradients in cut slash affected by pine wilt disease.[J]. Journal of Beijing Forestry University, 2013, 35(5): 84-90.
    [9]SONG Ji-ying, LUO You-qing, SHI Juan, YAN Xiao-su, CHEN Wei-ping, JIANG Ping. Niche characteristics of boring insects within Pinus massoniana infected by Bursaphelenchus xylophilus[J]. Journal of Beijing Forestry University, 2005, 27(6): 108-111.
    [10]XING Xin-ting, FU Mao-yi, XIAO Xian-tan. Biological characteristics of flowering and controlled pollination of Dendrocalamus latiflorus Munro[J]. Journal of Beijing Forestry University, 2005, 27(6): 103-107.

  • Cited by

    Periodical cited type(5)

    1. 李乖绵，田园. 北方杨树枝干溃疡病的发生与防治. 现代园艺. 2018(14): 65 .
    2. 张路，张宏民，藕丹，樊军锋. 白杨派新无性系对溃疡病菌的抗性. 西北林学院学报. 2017(06): 210-213+219 .
    3. 王巍. 浅谈杨树溃疡病的发生与防治. 黑龙江科学. 2014(02): 205 .
    4. 刘会宁，严维. 葡萄白粉病与几种酶活性的关系. 长江大学学报(自科版). 2013(23): 18-23+6 .
    5. 孙晓岩. 论杨树溃疡病的综合防治. 科技创业家. 2012(22): 156 .

    Other cited types(3)

Catalog

    Get Citation
    PDF
    XML
    Article views (2034) PDF downloads (44) Cited by(8)
    Turn off MathJax
    Article Contents
    Abstract
    Related Articles

    Copyright © 2013 《北京林业大学学报》编辑部

    Address：North-Star Times Tower, No.8 Beichendong Road, Chaoyang District, Beijing, China China Pos：100083

    Tel：010-62337673 Email：bldxed@bjfu.edu.cn 京ICP备05066833号-1

    Supported by: Beijing Renhe Information Technology Co., Ltd.  Baidu Analytics

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return