DOI: 10.5194/hess-21-3325-2017
Scopus记录号: 2-s2.0-85022026327
论文题名: Characterizing and reducing equifinality by constraining a distributed catchment model with regional signatures, local observations, and process understanding
作者: Kelleher C ; , McGlynn B ; , Wagener T
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2017
卷: 21, 期: 7 起始页码: 3325
结束页码: 3352
语种: 英语
Scopus关键词: Groundwater
; Knowledge based systems
; Runoff
; Snow
; Behavioral parameters
; Distributed hydrology soil vegetation models
; Groundwater table depth
; Hierarchical approach
; Process understanding
; Snow water equivalent
; Spatio-temporal simulation
; Spatiotemporal process
; Catchments
; catchment
; data set
; groundwater
; headwater
; hydrological modeling
; snow water equivalent
; spatiotemporal analysis
; Montana
; United States
英文摘要: Distributed catchment models are widely used tools for predicting hydrologic behavior. While distributed models require many parameters to describe a system, they are expected to simulate behavior that is more consistent with observed processes. However, obtaining a single set of acceptable parameters can be problematic, as parameter equifinality often results in several "behavioral" sets that fit observations (typically streamflow). In this study, we investigate the extent to which equifinality impacts a typical distributed modeling application. We outline a hierarchical approach to reduce the number of behavioral sets based on regional, observation-driven, and expert-knowledge-based constraints. For our application, we explore how each of these constraint classes reduced the number of "behavioral" parameter sets and altered distributions of spatiotemporal simulations, simulating a well-studied headwater catchment, Stringer Creek, Montana, using the distributed hydrology-soil-vegetation model (DHSVM). As a demonstrative exercise, we investigated model performance across 10 000 parameter sets. Constraints on regional signatures, the hydrograph, and two internal measurements of snow water equivalent time series reduced the number of behavioral parameter sets but still left a small number with similar goodness of fit. This subset was ultimately further reduced by incorporating pattern expectations of groundwater table depth across the catchment. Our results suggest that utilizing a hierarchical approach based on regional datasets, observations, and expert knowledge to identify behavioral parameter sets can reduce equifinality and bolster more careful application and simulation of spatiotemporal processes via distributed modeling at the catchment scale. © Author(s) 2017. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79128
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Earth Sciences, Syracuse University, Syracuse, NY, United States; Department of Earth and Ocean Sciences, Nicholas School of the Environment, Duke University, Durham, NC, United States; Department of Civil Engineering, University of Bristol, Bristol, United Kingdom; Cabot Institute, University of Bristol, Bristol, United Kingdom
Recommended Citation:
Kelleher C,, McGlynn B,, Wagener T. Characterizing and reducing equifinality by constraining a distributed catchment model with regional signatures, local observations, and process understanding[J]. Hydrology and Earth System Sciences,2017-01-01,21(7)