Environmental Flow Components for Measuring Hydrologic Model Fit during Low Flow Events

Mobley, John; Culver, Teresa B.; Burgholzer, Robert W.

doi:10.1061/(asce)he.1943-5584.0000575

Cited by 6 publications

(3 citation statements)

References 28 publications

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“…This study did not include some of the criteria recently proposed in the literature (Wang and Melesse 2005, Mobley et al 2012, Pushpalatha et al 2012, Willmott et al 2012, Bardsley 2013, Jagupilla et al 2014, nor criteria based on information theory (see e.g. Weijs et al 2010, Pechlivanidis et al 2012.…”

Section: Recommendations For Further Studiesmentioning

confidence: 99%

Comparing expert judgement and numerical criteria for hydrograph evaluation

Crochemore¹,

Perrin²,

Andréassian³

et al. 2015

Hydrological Sciences Journal

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This paper investigates the relationship between expert judgement and numerical criteria when evaluating hydrological model performance by comparing simulated and observed hydrographs. Using a webbased survey, we collected the visual evaluations of 150 experts on a set of high-and low-flow hydrographs. We then compared these answers with results from 60 numerical criteria. Agreement between experts was found to be more frequent in absolute terms (when rating models) than in relative terms (when comparing models), and better for high flows than for low flows. When comparing the set of 150 expert judgements with numerical criteria, we found that most expert judgements were loosely correlated with a numerical criterion, and that the criterion that best reflects expert judgement varies from expert to expert. Overall, we identified two groups of 10 criteria yielding an equivalent match with the expertise of the 150 participants in low and high flows, respectively. A single criterion common to both groups (the Hydrograph Matching Algorithm with mean absolute error) may represent a good indicator for the overall evaluation of models based on hydrographs. We conclude that none of the numerical criteria examined here can fully replace expert judgement when rating hydrographs, and that both relative and absolute evaluations should be based on the judgement of multiple experts. Comparaison des avis d'experts et des critères numériques pour l'évaluation d'hydrogrammesRésumé Cet article examine la relation entre jugement expert et critères numériques lorsque l'on évalue les performances de modèles hydrologiques en comparant des hydrogrammes simulés et observés. Une enquête en ligne nous a permis de collecter 150 évaluations d'experts sur un échantillon d'hydrogrammes en hautes et basses eaux. Ces évaluations ont ensuite été comparées aux résultats obtenus à l'aide de 60 critères numériques. Les experts ont été plus fréquemment en accord en termes absolus (en notant les modèles) qu'en termes relatifs (en comparant les modèles), et sur les hautes eaux que sur les basses eaux. La comparaison des 150 jugements d'experts et des critères numériques montre que la plupart des experts sont faiblement corrélés à un critère numérique, et que le critère qui reflète le mieux le jugement expert varie d'un expert à l'autre. Globalement, nous avons identifié deux groupes de dix critères qui reflètent bien l'expertise des 150 participants en basses et hautes eaux respectivement. Un critère commun aux deux groupes (l'algorithme de correspondance des hydrogrammes basé sur l'erreur absolue moyenne) peut représenter un bon indicateur pour l'évaluation globale de modèles basée sur les hydrogrammes. On conclut qu'aucun des critères numériques examinés ne peut remplacer le jugement expert lorsque l'on note des hydrogrammes, et que des évaluations relatives ou absolues devraient être basées sur des expertises multiples.Mots clefs évaluation d'hydrogrammes ; modèle hydrologique ; jugement expert ; efficacité ; critère numérique ; enquête en ligne 402

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Section: Recommendations For Further Studiesmentioning

confidence: 99%

Comparing expert judgement and numerical criteria for hydrograph evaluation

Crochemore¹,

Perrin²,

Andréassian³

et al. 2015

Hydrological Sciences Journal

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“…Ecological researchers have demonstrated that river hydrographs can be divided into a repeating set of hydrographic patterns that are ecologically relevant. Based on the widely used evaluation indexes of flow regime [22], five types of flow events were proposed to represent the full spectrum of flow conditions that are crucial to sustain riverine ecological integrity; they are low flows, extreme low flows, high flow pulses, small floods, and large floods [23]. The five EFC types are described in more detail in Table 1.…”

Section: Study Area Data and Methodsmentioning

confidence: 99%

Effect of Hydrologic Alteration on the Community Succession of Macrophytes at Xiangyang Site, Hanjiang River, China

2017

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With the intensification of human activities over the past three decades in China, adverse effects on river ecosystem become more serious especially in the Hanjiang River. Xiangyang site is an important spawn ground for four domestic fishes in the downstream region of Hanjiang River. Based on the field survey results of macrophytes during 1997–2000 and 2013-2014, community succession of aquatic macrophytes at Xiangyang site was evaluated and discussed. Two-key ecologic-related hydrologic characteristics, flow regime and water level, were identified as the main influence factors. The EFC (environmental flow components) parameters were adopted to evaluate the alteration of flow regimes at Xiangyang site during 1941–2013. Evaluation results demonstrate a highly altered flow process after being regulated by reservoir. The flow patterns tend to be an attenuation process with no large floods occurring but a higher monthly low flow. Furthermore, the water level decreased and fluctuation reduced after the dam was built, which caused the decrease of biomass but favored the submerged macrophytes during 1995–2009. However, with the water level increasing after 2010 and gently fluctuating, due to uplift by the hydraulic projects downstream as well as the flow attenuation, the dominant position of submerged macrophytes will be weakened.

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“…The IHA method utilizes five main groups of analyses, each group aiming at distinct hydrological aspects relative to aquatic ecosystems. Examples of IHA applications, in addition to the aforementioned Brazilian studies, are those of Richter et al (1997) in the Roanoke River (USA), Maingi and Marsh (2002) in the Tana River (Kenya), Kiesling (2003) in the Trinity River (USA), Olden and Poff (2003) and Magilligan and Nislow (2005) at many different sites on several USA rivers, Lian et al (2011) in the Illinois River and Mobley et al (2012) in the Rivanna River (USA).…”

Section: Introductionmentioning

confidence: 99%

Twenty-six years of uneven changes in low flows due to different uses and operation of a large dam in a semiarid river

Genz¹,

Lessa²

2015

RBRH

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Little is known about the hydrological impact of the dams in Brazil, despite the rising energy demand and untapped potential. The Paraguaçu River's discharge has been greatly impacted since 1986 by a large dam built in the lower course of the river. In the 26 years of the history of the dam, the minimum discharges have followed different operational guidelines: 1) there was no established discharge minimum between 1987 and 1996; 2) the discharge minimum was 11 m³s-1 between 1997 and 2004; and 3) hydropower generation began in 2005, when local wet season discharges were either 80 m³s-1 or 160 m³s-1 , and dry-season pulses of 10 m³s-1 , which were adopted as minimum stream flow. The mean annual dam discharge between 1987 and 2012 was 17.4% less than the incoming river flow. While rare events of daily null flow exist in the historic records, hundreds of occurrences of daily null flow have been observed in the outgoing discharge since 1987. Other important hydrologic alterations (IHAs) have included: the one-day minimum, the 3-day minimum and the number of low-discharge pulses. Ecochange analysis indicates an overall discharge loss (ecodeficit) in the system. The period of dam operation has coincided with a noticeable drop in the natural river discharge, when the mean discharge was 32% lower than in the pre-dam period (1947-1986

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Environmental Flow Components for Measuring Hydrologic Model Fit during Low Flow Events

Cited by 6 publications

References 28 publications

Comparing expert judgement and numerical criteria for hydrograph evaluation

Comparing expert judgement and numerical criteria for hydrograph evaluation

Effect of Hydrologic Alteration on the Community Succession of Macrophytes at Xiangyang Site, Hanjiang River, China

Twenty-six years of uneven changes in low flows due to different uses and operation of a large dam in a semiarid river

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