DOI: 10.5194/hess-21-5443-2017
Scopus记录号: 2-s2.0-85032893022
论文题名: Streamflow characteristics from modeled runoff time series - Importance of calibration criteria selection
作者: Pool S ; , Vis M ; J ; P ; , Knight R ; R ; , Seibert J
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2017
卷: 21, 期: 11 起始页码: 5443
结束页码: 5457
语种: 英语
Scopus关键词: Catchments
; Cesium compounds
; Efficiency
; Stream flow
; Time series
; Uncertainty analysis
; Calibration process
; High flow conditions
; Hydrologic models
; Objective functions
; Statistical performance
; Traditional approaches
; Traditional models
; Ungauged catchment
; Runoff
; calibration
; hydrological modeling
; low flow
; model validation
; optimization
; rainfall-runoff modeling
; runoff
; streamflow
; time series
; Tennessee Basin
; United States
英文摘要: Ecologically relevant streamflow characteristics (SFCs) of ungauged catchments are often estimated from simulated runoff of hydrologic models that were originally calibrated on gauged catchments. However, SFC estimates of the gauged donor catchments and subsequently the ungauged catchments can be substantially uncertain when models are calibrated using traditional approaches based on optimization of statistical performance metrics (e.g., Nash-Sutcliffe model efficiency). An improved calibration strategy for gauged catchments is therefore crucial to help reduce the uncertainties of estimated SFCs for ungauged catchments. The aim of this study was to improve SFC estimates from modeled runoff time series in gauged catchments by explicitly including one or several SFCs in the calibration process. Different types of objective functions were defined consisting of the Nash-Sutcliffe model efficiency, single SFCs, or combinations thereof. We calibrated a bucket-type runoff model (HBV - Hydrologiska Byräns Vattenavdelning - model) for 25 catchments in the Tennessee River basin and evaluated the proposed calibration approach on 13 ecologically relevant SFCs representing major flow regime components and different flow conditions. While the model generally tended to underestimate the tested SFCs related to mean and high-flow conditions, SFCs related to low flow were generally overestimated. The highest estimation accuracies were achieved by a SFC-specific model calibration. Estimates of SFCs not included in the calibration process were of similar quality when comparing a multi-SFC calibration approach to a traditional model efficiency calibration. For practical applications, this implies that SFCs should preferably be estimated from targeted runoff model calibration, and modeled estimates need to be carefully interpreted. © Author(s) 2017. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79012
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Geography, University of Zurich, Zurich, Switzerland; U.S. Geological Survey Lower Mississippi-Gulf Water Science Center, 640 Grassmere Park, Nashville, TN, United States; Department of Earth Sciences, Uppsala University, Uppsala, Sweden; Department of Physical Geography, Stockholm University, Stockholm, Sweden
Recommended Citation:
Pool S,, Vis M,J,et al. Streamflow characteristics from modeled runoff time series - Importance of calibration criteria selection[J]. Hydrology and Earth System Sciences,2017-01-01,21(11)