DOI: 10.1016/j.watres.2018.07.033
Scopus记录号: 2-s2.0-85050312900
论文题名: Time-dependent global sensitivity analysis of the C-RIVE biogeochemical model in contrasted hydrological and trophic contexts
作者: Wang S. ; Flipo N. ; Romary T.
刊名: Water Research
ISSN: 431354
出版年: 2018
卷: 144 起始页码: 341
结束页码: 355
语种: 英语
英文关键词: Dissolved oxygen
; Morris method
; Principal components analysis (PCA)
; Sensitivity analysis
; Sobol method
; Water quality modeling
Scopus关键词: Biochemical oxygen demand
; Biogeochemistry
; Dissolution
; Dissolved oxygen
; Light extinction
; Quality control
; Sensitivity analysis
; Temperature
; Water quality
; Biogeochemical functioning
; Dissolved oxygen concentrations
; Global sensitivity analysis
; Light extinction coefficients
; Morris method
; Principal components analysis
; Sobol method
; Water quality modeling
; Principal component analysis
; dissolved organic matter
; dissolved oxygen
; algal bloom
; anthropogenic effect
; biogeochemistry
; concentration (composition)
; dissolved oxygen
; global change
; hydrological modeling
; numerical method
; parameter estimation
; phytoplankton
; principal component analysis
; respiration
; sensitivity analysis
; temporal analysis
; water quality
; aeration
; algal bloom
; Article
; biogeochemical cycle
; biogeochemistry
; C RIVE model
; high temperature
; hydrology
; microbial activity
; microbial respiration
; Morris method
; nonhuman
; photosynthesis
; phytoplankton
; principal component analysis
; priority journal
; river
; sensitivity analysis
; Sobol method
; statistical model
; trophic level
; water quality
; algae
; Bacteria (microorganisms)
英文摘要: Dissolved oxygen within water column is a key variable to characterize the water quality. Water quality modeling has been extensively developed for decades. However, complex biogeochemical cycles are described using a high number of parameters. Hence, parameters’ uncertainty constitutes a major problem in the application of these models. Sensitivity analysis allows the identification of the most influential parameters in a model and a better understanding of the governing processes. This paper presents a time-dependent sensitivity analysis for dissolved oxygen using Morris and Sobol methods combined with a functional principal components analysis for dimension reduction. The aim of this study is to identify the most important parameters of C-RIVE model in different trophic contexts and to understand the biogeochemical functioning of river systems. The results indicate that the maintenance respiration of phytoplankton and the photosynthetic parameters (i.e. photosynthetic capacity, the maximal photosynthesis rate and light extinction coefficients) are the most influential parameters during algal blooms. When the river system becomes heterotrophic, the bacterial activities (moderate and high temperature) and the reaeration coefficients (low temperature) affect the most the dissolved oxygen concentration in the water column. An anthropogenic effect (ship navigation) on variation of dissolved oxygen concentration has been identified and the role of this anthropogenic effect evolves with hydrological and trophic conditions. © 2018 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/112490
Appears in Collections: 气候减缓与适应
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作者单位: Geosciences and Geoengineering Department, MINES ParisTech, PSL Research University, 35 Rue Saint-Honoré Fontainebleau77300, France
Recommended Citation:
Wang S.,Flipo N.,Romary T.. Time-dependent global sensitivity analysis of the C-RIVE biogeochemical model in contrasted hydrological and trophic contexts[J]. Water Research,2018-01-01,144