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DOI	10.5194/hess-24-1031-2020
	Calibration of hydrological models for ecologically relevant streamflow predictions: A trade-off between fitting well to data and estimating consistent parameter sets?
	Hallouin T.; Bruen M.; O'Loughlin F.E.
发表日期	2020
ISSN	1027-5606
起始页码	1031
结束页码	1054
卷号	24 期号:3
英文摘要	The ecological integrity of freshwater ecosystems is intimately linked to natural fluctuations in the river flow regime. In catchments with little human-induced alterations of the flow regime (e.g. abstractions and regulations), existing hydrological models can be used to predict changes in the local flow regime to assess any changes in its rivers' living environment for endemic species. However, hydrological models are traditionally calibrated to give a good general fit to observed hydrographs, e.g. using criteria such as the Nash-Sutcliffe efficiency (NSE) or the Kling-Gupta efficiency (KGE). Much ecological research has shown that aquatic species respond to a range of specific characteristics of the hydrograph, including magnitude, frequency, duration, timing, and the rate of change of flow events. This study investigates the performance of specially developed and tailored criteria formed from combinations of those specific streamflow characteristics (SFCs) found to be ecologically relevant in previous ecohydrological studies. These are compared with the more traditional Kling-Gupta criterion for 33 Irish catchments. A split-sample test with a rolling window is applied to reduce the influence on the conclusions of differences between the calibration and evaluation periods. These tailored criteria are shown to be marginally better suited to predicting the targeted streamflow characteristics; however, traditional criteria are more robust and produce more consistent behavioural parameter sets, suggesting a trade-off between model performance and model parameter consistency when predicting specific streamflow characteristics. Analysis of the fitting to each of 165 streamflow characteristics revealed a general lack of versatility for criteria with a strong focus on low-flow conditions, especially in predicting high-flow conditions. On the other hand, the Kling-Gupta efficiency applied to the square root of flow values performs as well as two sets of tailored criteria across the 165 streamflow characteristics. These findings suggest that traditional composite criteria such as the Kling-Gupta efficiency may still be preferable over tailored criteria for the prediction of streamflow characteristics, when robustness and consistency are important. © 2020 Authors.
语种	英语
scopus关键词	Calibration; Catchments; Ecology; Economic and social effects; Efficiency; Forecasting; Runoff; Ecological integrity; Freshwater ecosystem; High flow conditions; Hydrological models; Living environment; Natural fluctuations; Split sample tests; Streamflow prediction; Stream flow; calibration; catchment; hydrological modeling; parameter estimation; river flow; streamflow
来源期刊	Hydrology and Earth System Sciences
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/159480
作者单位	Hallouin, T., UCD Dooge Centre for Water Resources Research, School of Civil Engineering, University College Dublin, Dublin, Ireland, National Centre for Atmospheric Science, Reading, United Kingdom, Department of Meteorology, University of Reading, Reading, United Kingdom; Bruen, M., UCD Dooge Centre for Water Resources Research, School of Civil Engineering, University College Dublin, Dublin, Ireland, UCD Earth Institute, University College Dublin, Dublin, Ireland; O'Loughlin, F.E., UCD Dooge Centre for Water Resources Research, School of Civil Engineering, University College Dublin, Dublin, Ireland, UCD Earth Institute, University College Dublin, Dublin, Ireland
推荐引用方式 GB/T 7714	Hallouin T.,Bruen M.,O'Loughlin F.E.. Calibration of hydrological models for ecologically relevant streamflow predictions: A trade-off between fitting well to data and estimating consistent parameter sets?[J],2020,24(3).
APA	Hallouin T.,Bruen M.,&O'Loughlin F.E..(2020).Calibration of hydrological models for ecologically relevant streamflow predictions: A trade-off between fitting well to data and estimating consistent parameter sets?.Hydrology and Earth System Sciences,24(3).
MLA	Hallouin T.,et al."Calibration of hydrological models for ecologically relevant streamflow predictions: A trade-off between fitting well to data and estimating consistent parameter sets?".Hydrology and Earth System Sciences 24.3(2020).