DOI: 10.1016/j.jhydrol.2020.124570
论文题名: Development of a partial copula-based algorithm for disclosing variability of dependence structures between hydro-meteorological factors under consideration of covariate-effect
作者: Guo A. ; Chang J. ; Wang Y. ; Huang Q. ; Guo Z. ; Li Y.
刊名: Journal of Hydrology
ISSN: 221694
出版年: 2020
卷: 583 语种: 英语
英文关键词: Change point
; Covariate-effect
; Dependence structures between hydro-meteorological factors
; Loess Plateau
; Partial copula
Scopus关键词: Catchments
; Evapotranspiration
; Global warming
; Landforms
; Sediments
; Stream flow
; Change-points
; Covariates
; Loess Plateau
; Meteorological factors
; Partial copula
; Rain
; algorithm
; covariance analysis
; global warming
; heterogeneity
; hydrological cycle
; hydrometeorology
; potential evapotranspiration
; snow cover
; snowmelt
; streamflow
; China
; Loess Plateau
英文摘要: Investigating variability of dependence structures between hydro-meteorological factors (DSHF) is of critical importance for throwing light on mechanisms of hydrological cycle under changing environment. Previous studies mostly focused on examining variability of single hydro-meteorological variable in forms of change point while neglecting complicated interactions among hydro-meteorological variables and thus failing to fully reveal variability of hydrological cycle. In this study, a partial copula-based likelihood-ratio (PaCoLR) test algorithm is developed for disclosing change point of DSHF whilst controlling for the effect of covariate. Eight major catchments across the Loess Plateau (LP), China, are selected as study regions. Results indicate that change points of dependence structures between streamflow and precipitation/potential evapotranspiration varies across the LP due to the spatial heterogeneity of climate and anthropogenic activities. Moreover, change points of dependence structure between precipitation and potential evapotranspiration on the LP match well with the time of global warming hypothesis, i.e. the early 1980s. Additionally, we find that controlling for the effect of precipitation is extremely essential when examining change point of dependence structure between streamflow and potential evapotranspiration on rain-dominated region, such as the LP. Further, the proposed PaCoLR algorithm is also applicable for detecting change points of DSHF in transient snow and snowmelt dominant regions. © 2020 Elsevier B.V.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/158466
Appears in Collections: 气候变化与战略
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作者单位: State Key Laboratory of Eco-hydraulics in Northwest Arid Region, Xi'an University of Technology, Xi'an, 710048, China; Hebei University of Engineering, Handan, 056038, China; Mianyang Teachers’ College, Mianyang, 621000, China
Recommended Citation:
Guo A.,Chang J.,Wang Y.,et al. Development of a partial copula-based algorithm for disclosing variability of dependence structures between hydro-meteorological factors under consideration of covariate-effect[J]. Journal of Hydrology,2020-01-01,583