DOI: 10.2166/wcc.2016.077
论文题名: A dynamic multiple regression approach for quantifying the relative impact of precipitation variations and streamflow generation conditions on runoff
作者: Niu J.-Y. ; Cao B. ; Li Y.-X.
刊名: Journal of Water and Climate Change
ISSN: 20402244
出版年: 2016
卷: 7, 期: 4 起始页码: 749
结束页码: 763
语种: 英语
英文关键词: Dynamic multiple regression
; Precipitation variations
; Runoff change
; Streamflow generation conditions
英文摘要: Based on the observed data of monthly precipitation and runoff from 1960 to 2011 in the catchment controlled by the Sandaohezi hydrological station, the double mass curve of precipitation-runoff and Kolmogorov–Smirnov dual sample test were applied to divide the years 1960–2011 into four periods: 1960–1979, 1980–1991, 1992–1999 and 2000–2011. And then, through several trial calculations, a water year of the catchment was divided into wet season and dry season, and the precipitation-runoff dynamic multiple regression (DMR) models were constructed for the four periods. The computed annual runoff values of the DMR models all passed the Fisher test. Besides, the four models’ average residuals were all less than 14.15%, and the determination coefficients were all greater than 77.96%. Using the established models, we quantified to what extent the runoff was affected by precipitation variations and streamflow yield capability changes. The result showed that compared with the period of 1960–1979, the annual runoff in 1980–2011 decreased by 14.42% due to precipitation variations and by 23.11% due to streamflow generation condition changes. Furthermore, we found that the runoff of the dry season was dominantly related to the precipitation during the flood season in the previous year. © IWA Publishing 2016. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/67624
Appears in Collections: 气候减缓与适应
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作者单位: State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin, China; Academy of Civil Engineering & Architecture, Nanyang Normal University, Nanyang, China; School of Civil Engineering & Architecture, Hubei University of Arts and Science, Xiangyang, China
Recommended Citation:
Niu J.-Y.,Cao B.,Li Y.-X.. A dynamic multiple regression approach for quantifying the relative impact of precipitation variations and streamflow generation conditions on runoff[J]. Journal of Water and Climate Change,2016-01-01,7(4)