High-performance approach for estimating stage-discharge curves in the open channels

Kavousizadeh, Amirreza; Ahmadi, Arash

doi:10.1016/j.jhydrol.2018.08.002

Cited by 8 publications

(3 citation statements)

References 24 publications

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“…In case of uniform roughness and shear velocity along the perimeter, the term c is cancelled and Equation 10 only depends on r, 𝜃 and dA. This assumption was made in this study as it was done in the work of Kavousizadeh and Ahmadi (2018). This results in a parsimonious method for calculating the velocity distribution within the channel cross-section as only bathymetric data are required.…”

Section: Entropy Modelmentioning

confidence: 99%

“…f(r) is the dominant velocity function according to Kavousizadeh and Ahmadi (2018) and Ali and Maghrebi (2023). The direction of the velocity is normal to the plane containing the vector of the infinitesimal element of wetted perimeter (dp) and the vector drawn from the infinitesimal element of wetted perimeter to the point where the velocity is calculated (r).…”

Section: Entropy Modelmentioning

confidence: 99%

See 1 more Smart Citation

Streamflow monitoring at high temporal resolution based on non-contact instruments in a river prone to bathymetric shifts

Nord,

Safdar,

Hasanyar

et al. 2024

Preprint

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This study presents a reliable methodology for monitoring streamflow in a dynamic river of the Alps prone to bathymetric changes using non-contact instruments. The method relies on water level and surface velocity radar monitoring, discharge measurements by Large-Scale Particle Image Velocimetry (LSPIV), and topographic surveys. A single proportional relation, resistant to bathymetric changes, is established between maximum surface velocity (Vs,max) and bulk velocity (Umean). Different methods are used to build this relation: (i) an empirical approach calibrated with the LSPIV measurements; (ii) the Isovel model; (iii) the Q-Commander software developed by the Sommer company. The applicability of the method is tested over a 2.5-year dataset. Compared to the empirical approach, both models, which require minimal input data, predict well the Vs,max-Umean relation. The location of the maximum surface velocity, which reveals to be resistant to bathymetric changes, is also well predicted by these models. Discharge is calculated at a time step of 10 min by multiplying the bulk velocity and the wetted area. The results are compared to the discharge series at the historical station located 2.5 km further upstream, which has a stage-discharge rating curve. Good agreement is observed when surface velocity is above 0.7 m/s, but accuracy decreases for lower velocities. A simplified uncertainty analysis estimates a 20% relative error on discharge calculated with the presented method.

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Section: Entropy Modelmentioning

confidence: 99%

Section: Entropy Modelmentioning

confidence: 99%

Streamflow monitoring at high temporal resolution based on non-contact instruments in a river prone to bathymetric shifts

Nord,

Safdar,

Hasanyar

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…For these two indicators, the smaller the value, the better the fit of the Copula function. The fitting test indicators are the Kolmogorov-Smirnov (K-S) Z-test (Kavianpour et al 2018) and Mann-Whitney (M-W) U-test (Kavousizadeh and Ahmadi 2018;Goel et al 2019).…”

Section: Joint Probability Distribution Of Length Runoff and Viewshedmentioning

confidence: 99%

Trivariate Copula Based Evaluation Model of Water Accessibility

Liu

Chen

et al. 2019

Water Resour Manage

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Water accessibility is an important factor in water use assessments for water users. Water accessibility is affected by climate and socio-economic changes, and notably large regional differences exist. Therefore, understanding water accessibility is essential for effective water management. Based on the length, runoff and viewshed value of each water consumption grid, this paper characterized the corresponding water accessibility using the standardized accumulative probability distribution of the three variables. The Copula function was used to connect the accumulative probability distributions of the three variables and construct a joint distribution. The joint probability distribution was applied to characterize the water accessibility of all of the water consumption grids, and a grid-scale water accessibility evaluation model-LRV (Length-Runoff-Viewshed) was constructed. This paper chose the Yongdinghe River Basin as a case study to evaluate water accessibility using the LRV model. The T Copula function was chosen as the joint distribution function to obtain the water accessibility distribution pattern of the Yongdinghe River Basin. This model obtained the water accessibility of every water consumption grid and provided technical support for refined water resources management.

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An alert system for flood forecasting based on multiple seasonal holt-winters models: a case study of southeast Brazil

Leandro,

Christo,

Costa

et al. 2024

Sustain. Water Resour. Manag.

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High-performance approach for estimating stage-discharge curves in the open channels

Cited by 8 publications

References 24 publications

Streamflow monitoring at high temporal resolution based on non-contact instruments in a river prone to bathymetric shifts

Streamflow monitoring at high temporal resolution based on non-contact instruments in a river prone to bathymetric shifts

Trivariate Copula Based Evaluation Model of Water Accessibility

An alert system for flood forecasting based on multiple seasonal holt-winters models: a case study of southeast Brazil

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