Estimating time-varying stage-discharge relations in rivers with aquatic vegetation

Perret, Emeline; Coz, Jérôme Le; Renard, Benjamin

doi:10.1201/b22619-213

Cited by 2 publications

(2 citation statements)

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“…The discharge Q no-R is computed using the same MAP estimators than those estimated for Q R , except that χ is now fixed to 0 (i.e., the rating curve is not re-estimated). For more details, please refer to Perret et al (2020). Figure 8 shows the relative discharge differences due to deactivating the reconfiguration function in the estimated model.…”

Section: Reconfiguration Versus Plant Growthmentioning

confidence: 99%

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A Rating Curve Model Accounting for Cyclic Stage‐Discharge Shifts due to Seasonal Aquatic Vegetation

Perret

Renard

Coz

2021

Water Resources Research

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Introduction 1.1. Rating Curve Management Establishing the streamflow time series and its uncertainty is a priority for most hydrological studies and water management applications. The streamflow record is commonly computed by transforming a continuous water level record into water discharge using a stage-discharge relation, also known as a rating curve (World Meteorological Organization, 2010). Rating curves are site-specific and are usually built using occasional measurements of water discharge Q and stage h (i.e., gaugings), combined with information about hydraulic controls (section or channel controls) at the hydrometric station (Rantz, 1982a, 1982b). The process of building a rating curve is subject to a large uncertainty that needs to be quantified in order to make important water-related decisions (McMillan et al., 2017). Many methods exist to estimate rating curve uncertainty and have been applied with increasing frequency (Kiang et al., 2018). One of the main problems for rating curve management is to deal with rating changes or "shifts" (Mansanarez et al., 2019). Indeed, stage-discharge relations are not always stable and can evolve in time, which leads to non-unique h-Q relations. Rating instabilities can be caused by sudden changes (e.g., morphological evolution induced by a flood, human constructions that affect the hydraulic control) and/or by transient changes (e.g., vegetation growth, accumulation of debris or ice). The challenge is to detect these changes and update the curve accordingly, for example, modifying the rating curve model and/or re-estimating the model parameters. Some procedures exist to deal with sudden changes and are reported in Mansanarez et al. (2019). However, these methods are not suitable for transient changes due to aquatic vegetation. In that case, the stage-discharge relation varies continuously in time according to the vegetation evolution. Water discharge therefore needs to be estimated from the stage and other variables depending on time. To the best of our knowledge, no rating curve models accounting for aquatic vegetation exist in the literature.

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Section: Reconfiguration Versus Plant Growthmentioning

confidence: 99%

Section: Reconfiguration Versus Plant Growthmentioning

confidence: 99%