Automatic procedure for selecting flood events and identifying flood characteristics from daily streamflow data
文献类型:期刊论文
作者 | Zhang, Qin1; Zhang, Liping1,2; She, Dunxian1,2; Wang, Shuxia1; Wang, Gangsheng1,2; Zeng, Sidong3 |
刊名 | ENVIRONMENTAL MODELLING & SOFTWARE
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出版日期 | 2021-11-01 |
卷号 | 145页码:12 |
关键词 | Peak over threshold (POT) MATLAB Flood characteristics Master recession curve Baseflow separation Flood hydrograph |
ISSN号 | 1364-8152 |
DOI | 10.1016/j.envsoft.2021.105180 |
通讯作者 | Zhang, Liping(zhanglp@whu.edu.cn) ; She, Dunxian(shedunxian@whu.edu.cn) |
英文摘要 | The selection of flood events and determination of flood characteristics (e.g. start and end dates, peak discharge, volume, and duration) are the first critical steps for flood analyses. To obtain the key flood information accurately, we used the automatic peak over threshold (POT) model for flood sampling and proposed an automatic approach to determine flood characteristics using the master recession curve analysis (MRC) method. We further developed a graphical user interface (GUI) and toolbox for this procedure in MATLAB. Model parameter estimation experiment (MOPEX) data from 423 stations were used to evaluate the proposed method. Our results suggest that the proposed procedure performs well for watersheds with diverse characteristics. The developed toolbox can be conveniently applied to other watersheds for flood sampling and the characterisation of flood events, thus helping reduce the uncertainty in subsequent flood analyses, such as multivariable flood frequency and trend analyses. |
资助项目 | National Key Research and Development Program of China[2017YFA0603704] ; Major projects of National Natural Science Foundation of China[41890824] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23040103] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23040500] ; National Natural Science Foundation of China[51809008] |
WOS研究方向 | Computer Science ; Engineering ; Environmental Sciences & Ecology ; Water Resources |
语种 | 英语 |
WOS记录号 | WOS:000703664500003 |
出版者 | ELSEVIER SCI LTD |
源URL | [http://119.78.100.138/handle/2HOD01W0/14129] ![]() |
专题 | 中国科学院重庆绿色智能技术研究院 |
通讯作者 | Zhang, Liping; She, Dunxian |
作者单位 | 1.Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Peoples R China 2.Wuhan Univ, Hubei Key Lab Water Syst Sci Sponge City Construc, Wuhan 430072, Peoples R China 3.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China |
推荐引用方式 GB/T 7714 | Zhang, Qin,Zhang, Liping,She, Dunxian,et al. Automatic procedure for selecting flood events and identifying flood characteristics from daily streamflow data[J]. ENVIRONMENTAL MODELLING & SOFTWARE,2021,145:12. |
APA | Zhang, Qin,Zhang, Liping,She, Dunxian,Wang, Shuxia,Wang, Gangsheng,&Zeng, Sidong.(2021).Automatic procedure for selecting flood events and identifying flood characteristics from daily streamflow data.ENVIRONMENTAL MODELLING & SOFTWARE,145,12. |
MLA | Zhang, Qin,et al."Automatic procedure for selecting flood events and identifying flood characteristics from daily streamflow data".ENVIRONMENTAL MODELLING & SOFTWARE 145(2021):12. |
入库方式: OAI收割
来源:重庆绿色智能技术研究院
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