DOI: 10.5194/hess-24-735-2020
论文题名: Characterizing uncertainty in the hydraulic parameters of oil sands mine reclamation covers and its influence on water balance predictions
作者: Shahabul Alam M. ; Lee Barbour S. ; Huang M.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2020
卷: 24, 期: 2 起始页码: 735
结束页码: 759
语种: 英语
Scopus关键词: Forestry
; Inverse problems
; Oil sands
; Solvents
; Textures
; Actual evapotranspiration
; Hydraulic parameters
; Latin hypercube sampling
; Long-term water balances
; Parameter uncertainty
; Soil-vegetation-atmosphere transfer models
; Water balance components
; Water balance models
; Soils
; evapotranspiration
; hydraulic property
; leaf area index
; soil cover
; soil-vegetation interaction
; uncertainty analysis
; water budget
; Aurora [Colorado]
; Colorado
; United States
英文摘要: One technique to evaluate the performance of oil sands reclamation covers is through the simulation of long-term water balance using calibrated soil vegetation atmosphere transfer models. Conventional practice has been to derive a single set of optimized hydraulic parameters through inverse modelling (IM) based on short-term ( < 5 10 years) monitoring datasets. This approach is unable to characterize the impact of variability in the cover properties. This study utilizes IM to optimize the hydraulic properties for 12 soil cover designs, replicated in triplicate, at Syncrude s Aurora North mine site. The hydraulic parameters for three soil types (peat cover soil, coarse-textured subsoil, and lean oil sand substrate) were optimized at each monitoring site from 2013 to 2016. The resulting 155 optimized parameter values were used to define distributions for each parameter/ soil type, while the progressive Latin hypercube sampling (PLHS) method was used to sample parameter values randomly from the optimized parameter distributions. Water balance models with the sampled parameter sets were used to evaluate variations in the maximum sustainable leaf area index (LAI) for five illustrative covers and quantify uncertainty associated with long-term water balance components and LAI values. Overall, the PLHS method was able to better capture broader variability in the water balance components than a discrete interval sampling method. The results also highlight that climate variability dominates the simulated variability in actual evapotranspiration and that climate and parameter uncertainty have a similar influence on the variability in net percolation. © 2020 Cambridge University Press. All rights reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/162788
Appears in Collections: 气候变化与战略
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作者单位: Shahabul Alam, M., Department of Civil, Geological and Environmental Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada; Lee Barbour, S., Department of Civil, Geological and Environmental Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada, Global Institute for Water Security, University of Saskatchewan, Saskatoon, SK S7N 3H5, Canada; Huang, M., Department of Civil, Geological and Environmental Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada, Center for Excellence in Quaternary Science and Global Change, Chinese Academy of Sciences, Xian, 710061, China
Recommended Citation:
Shahabul Alam M.,Lee Barbour S.,Huang M.. Characterizing uncertainty in the hydraulic parameters of oil sands mine reclamation covers and its influence on water balance predictions[J]. Hydrology and Earth System Sciences,2020-01-01,24(2)