Model Calibration Criteria for Estimating Ecological Flow Characteristics

Vis, Marc; Knight, Rodney R.; Pool, Sandra; Wolfe, William J.; Seibert, Jan

doi:10.3390/w7052358

Cited by 55 publications

(57 citation statements)

References 33 publications

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“…Estimated streamflow characteristics are prone to significant errors when calculated from simulated time series (Murphy et al, 2013;Shrestha et al, 2014;Vis et al, 2015). This is due in part to the objective functions used for evaluating the model error such as the commonly used model efficiency (Nash and Sutcliffe, 1970) or volume error, which do not ensure that a model reproduces particular streamflow characteristics.…”

Section: S Pool Et Al: Streamflow Characteristics From Modeled Runomentioning

confidence: 99%

“…These objective functions subsequently guide model parameter calibration, which strongly influences the simulated hydrograph (for an overview, see Pfannerstill et al, 2014) in terms of annual, seasonal, and monthly volumes and magnitudes. For example, Vis et al (2015) compared model simulation from calibrations based on only the model efficiency with calibrations based on the combination of multiple objectives such as model efficiency, model efficiency of log-transformed flow, volume error, and Spearman rank correlation. All these calibration approaches tended to overestimate low flows and underestimate medium and high-flow-related SFCs.…”

Section: S Pool Et Al: Streamflow Characteristics From Modeled Runomentioning

confidence: 99%

“…This study expands on the study of Vis et al (2015) where various combinations of traditionally used objective functions were evaluated with respect to a suite of ecologically relevant SFCs. Their model calibrations with the model efficiency (R eff ) outperformed multi-objective model calibrations (different combinations of R eff , log-transformed flow, volume error, and Spearman rank correlation) for the investi- gated SFCs.…”

Section: S Pool Et Al: Streamflow Characteristics From Modeled Runomentioning

confidence: 99%

See 2 more Smart Citations

Streamflow characteristics from modeled runoff time series – importance of calibration criteria selection

Pool

Vis

Knight

et al. 2017

Hydrol. Earth Syst. Sci.

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Abstract. 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., NashSutcliffe 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 Byråns 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.

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Section: S Pool Et Al: Streamflow Characteristics From Modeled Runomentioning

confidence: 99%

Section: S Pool Et Al: Streamflow Characteristics From Modeled Runomentioning

confidence: 99%

Section: S Pool Et Al: Streamflow Characteristics From Modeled Runomentioning

confidence: 99%

See 1 more Smart Citation

Streamflow characteristics from modeled runoff time series – importance of calibration criteria selection

Pool

Vis

Knight

et al. 2017

Hydrol. Earth Syst. Sci.

Self Cite

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show abstract

“…Shrestha et al [30] suggested that the ability of the models to replicate different components of the hydrograph simultaneously was not clear. Especially quantification of streamflow characteristics using hydrological models in ungauged catchments remains a challenge [31,32]. In spite of its disadvantages, this approach is commonly used to simulate and calculate the relative impacts.…”

Section: Introductionmentioning

confidence: 99%

Quantification of Hydrological Responses Due to Climate Change and Human Activities over Various Time Scales in South Korea

Lee

Kim

2017

Water

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Hydrological responses are being impacted by both climate change and human activities. In particular, climate change and regional human activities have accelerated significantly during the last three decades in South Korea. The variation in runoff due to the two types of factors should be quantitatively investigated to aid effective water resources' planning and management. In water resources' planning, analysis using various time scales is useful where rainfall is unevenly distributed. However, few studies analyzed the impacts of these two factors over different time scales. In this study, hydrologic model-based approach and hydrologic sensitivity were used to separate the relative impacts of these two factors at monthly, seasonal and annual time scales in the Soyang Dam upper basin and the Seom River basin in South Korea. After trend analysis using the Mann-Kendall nonparametric test to identify the causes of gradual change, three techniques, such as the double mass curve method, Pettitt's test and the BCP (Bayesian change point) analysis, were used to detect change points caused by abrupt changes in the collected observed runoff. Soil and Water Assessment Tool (SWAT) models calibrated from the natural periods were used to calculate the impacts of human activities. Additionally, six Budyko-based methods were used to verify the results obtained from the hydrological-based approach. The results show that impacts of climate change have been stronger than those of human activities in the Soyang Dam upper basin, while the impacts of human activities have been stronger than those of climate change in the Seom River basin. Additionally, the quantitative characteristics of relative impacts due to these two factors were identified at the monthly, seasonal and annual time scales. Finally, we suggest that the procedure used in this study can be used as a reference for regional water resources' planning and management.

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“…Because the HBV-Light source code was not available, the authors have developed the IHBV model in FORTRAN. Further information on HBV and its applications can be found in related references [41,[49][50][51]. …”

Section: Improved Hbv Model Descriptionmentioning

confidence: 99%

Towards an Efficient Rainfall–Runoff Model through Partitioning Scheme

Dariane

Javadianzadeh

2016

Water

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Partitioning Scheme (PS) is one of the strategies that could play a constructive role in improving the performance of conceptual rainfall-runoff (CRR) models. The main objective of this paper is to develop a Rainfall Runoff-Partitioning Scheme (RR-PS) with the ability of distinguishing different flow regimes in a basin and simulating each regime separately. The model utilizes a combination of PS and "regular" procedures and is equipped with Fuzzy C-Means (FCM) and Seasonal Partitioning (SP) to recognize different flow regimes. In addition, to avoid excessive increase of the model parameters caused by PS, sensitivity analysis is used to recognize the sensitive parameters. The PS part of integrated model is only run for the "sensitive" parameters and the "regular" part of model is implemented for the "less-sensitive" parameters. Data from three different scale basins in USA and Iran are used to evaluate the models. A HBV-Light (Hydrologiska Byråns Vattenbalansavdelning-Light model) based CRR model (Improved HBV-IHBV) is developed in FORTRAN (Formula Translation) with several modifications for testing the procedures. The results show that in all cases IHBV-based models using PS method perform better than the regular IHBV model. Overall, IHBV-SP demonstrates better performance than the other PS based models. Further improvement is reached by adopting user-defined seasons in IHBV-SP through optimization.

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Model Calibration Criteria for Estimating Ecological Flow Characteristics

Cited by 55 publications

References 33 publications

Streamflow characteristics from modeled runoff time series – importance of calibration criteria selection

Streamflow characteristics from modeled runoff time series – importance of calibration criteria selection

Quantification of Hydrological Responses Due to Climate Change and Human Activities over Various Time Scales in South Korea

Towards an Efficient Rainfall–Runoff Model through Partitioning Scheme

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