DOI: 10.1002/2017MS001120
Scopus记录号: 2-s2.0-85033579249
论文题名: A Multialgorithm Approach to Land Surface Modeling of Suspended Sediment in the Colorado Front Range
作者: Stewart J ; R ; , Livneh B ; , Kasprzyk J ; R ; , Rajagopalan B ; , Minear J ; T ; , Raseman W ; J
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2017
卷: 9, 期: 7 起始页码: 2526
结束页码: 2544
语种: 英语
英文关键词: Calibration
; Catchments
; Commerce
; Economic and social effects
; Runoff
; Sediment transport
; Sediments
; Stream flow
; Surface measurement
; Suspended sediments
; Algorithm performance
; Distributed hydrology soil vegetation models
; Hydrologic simulations
; Land surface modeling
; Modified universal soil loss equations
; Multi-objective calibration
; Suspended sediment loads
; Variable infiltration capacities
; Parameter estimation
; algorithm
; baseflow
; erosion
; forested catchment
; infiltration
; land surface
; model validation
; numerical model
; optimization
; rating curve
; sediment transport
; streamflow
; suspended sediment
; trade-off
; Universal Soil Loss Equation
; Colorado
; Front Range
; Rocky Mountains
英文摘要: A new paradigm of simulating suspended sediment load (SSL) with a Land Surface Model (LSM) is presented here. Five erosion and SSL algorithms were applied within a common LSM framework to quantify uncertainties and evaluate predictability in two steep, forested catchments (>1,000 km2). The algorithms were chosen from among widely used sediment models, including empirically based: monovariate rating curve (MRC) and the Modified Universal Soil Loss Equation (MUSLE); stochastically based: the Load Estimator (LOADEST); conceptually based: the Hydrologic Simulation Program—Fortran (HSPF); and physically based: the Distributed Hydrology Soil Vegetation Model (DHSVM). The algorithms were driven by the hydrologic fluxes and meteorological inputs generated from the Variable Infiltration Capacity (VIC) LSM. A multiobjective calibration was applied to each algorithm and optimized parameter sets were validated over an excluded period, as well as in a transfer experiment to a nearby catchment to explore parameter robustness. Algorithm performance showed consistent decreases when parameter sets were applied to periods with greatly differing SSL variability relative to the calibration period. Of interest was a joint calibration of all sediment algorithm and streamflow parameters simultaneously, from which trade-offs between streamflow performance and partitioning of runoff and base flow to optimize SSL timing were noted, decreasing the flexibility and robustness of the streamflow to adapt to different time periods. Parameter transferability to another catchment was most successful in more process-oriented algorithms, the HSPF and the DHSVM. This first-of-its-kind multialgorithm sediment scheme offers a unique capability to portray acute episodic loading while quantifying trade-offs and uncertainties across a range of algorithm structures. © 2017. The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75707
Appears in Collections: 影响、适应和脆弱性 气候变化与战略
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作者单位: Department of Civil, Environmental, and Architectural Engineering, University of Colorado, Boulder, CO, United States; Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO, United States
Recommended Citation:
Stewart J,R,, Livneh B,et al. A Multialgorithm Approach to Land Surface Modeling of Suspended Sediment in the Colorado Front Range[J]. Journal of Advances in Modeling Earth Systems,2017-01-01,9(7)