New method for estimation of stage-discharge curves in natural rivers

Maghrebi, Mahmoud Faghfour; Ahmadi, Arash; Attari, Mohammad; Maghrebi, Reza Faghfour

doi:10.1016/j.flowmeasinst.2016.09.008

Cited by 11 publications

(4 citation statements)

References 12 publications

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“…Comparative to our results, Farina et al (2017) used an isovel model to calculate the flow of a channel with a method based on the principle of entropy and determined a relative error of 7% between observed and simulated flows, which led them to state that the velocity obtained by isovels allows a reliable flow estimation. In the study by Maghrebi, Ahmadi, Attari, and Maghrebi (2016), the maximum relative errors of 3, 6, and 3% for the Severn, Cuenca, and Tomebamba Rivers, respectively, demonstrated that the proposed model for determining the key curve presented very good performance.…”

Section: Resultsmentioning

confidence: 95%

Flow-velocity model for hydrokinetic energy availability assessment in the Amazon

2019

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The Brazilian hydrological information network does not provide data series of daily velocities. The river velocities are important for the study of hydrokinetic potential. Therefore, the work proposes a model called flow-velocity that estimates the average daily velocity and the distribution of the velocity profile of the cross section of rivers. The model was applied to the Amazon basin, using the highest and lowest flow rates of the historical series. The highest and lowest average velocities found in the Amazon River were 2.27 m s-1 and 0.735 m s-1, respectively. The main contributors to the Amazon River presented average daily velocities close to 2.0 ms-1 for the flood period, but in the dry season these velocities did not exceed 0.5 m s-1. Thus, it was verified that the Amazon River has hydrokinetic potential throughout the year and its tributaries during the flood period.

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Section: Resultsmentioning

confidence: 95%

Flow-velocity model for hydrokinetic energy availability assessment in the Amazon

2019

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“…A model that could estimate the stage‐discharge rating curve in open channels and rivers was proposed by Maghrebi, Ahmadi, Attari, and Maghrebi (2016). In this method, each water stage and discharge pair is considered the reference data for generating the entire stage‐discharge relationship in any desired water depth.…”

Section: Introductionmentioning

confidence: 99%

Investigation of stage‐discharge model performance for streamflow estimating: A case study of the Gono River, Japan

Maghrebi

Vatanchi

Kawanisi

2023

River Research & Apps

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In water resource studies, long‐term measurements of river streamflow are essential. They allow us to observe trends and natural cycles and are prerequisites for hydraulic and hydrology models. This paper presents a new application of the stage‐discharge rating curve model introduced by Maghrebi et al. (2016) to estimate continuous streamflow along the Gono River, Japan. The proposed method, named single stage‐discharge (SSD) method, needs only one observed data to estimate the continuous streamflow. However, other similar methods require more than one observational data to fit the curve. The results of the discharge estimation by the SSD are compared with the improved fluvial acoustic tomography system (FATS), conventional rating curve (RC), and flow‐area rating curve (FARC). Some statistical indicators, such as the coefficient of determination (R2), root mean square error (RMSE), percent bias (PBAIS), mean absolute error (MAE), and Kling‐Gupta efficiency (KGE), are used to assess the performance of the proposed model. ADCP data are used as a benchmark for comparing four studied models. As a result of the comparison, the SSD method outperformed of FATS method. Also, the three studied RC methods were highly accurate at estimating streamflow if all observed data were used in calibration. However, if the observed data in calibration was reduced, the SSD method by R2 = 0.99, RMSE = 2.83 (m3/s), PBIAS = 0.715(%), MAE = 2.30 (m3/s), and KGE = 0.972 showed the best performance compared to other methods. It can be summarized that the SSD method is the feasible method in the data‐scarce region and delivers a strong potential for streamflow estimation.

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“…on the stage-discharge relationship has been examined, emphasizing the importance of understanding these impacts on ood control and river engineering (Wang et al, 2019). Hydrodynamic models and other methods, such as isovel contours, dimensional analysis, and single-point velocity measurements, have also been used to estimate the relationship (Maghrebi et al, 2016;Maghrebi & Ahmadi, 2017;Shao et al, 2018). Additionally, the GEP model has been applied as an alternative approach for estimation using stage and discharge measurements (Birbal et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Estimating the Stage-Discharge Relationship at the Confluence of Ungauged Streams: A Hydrological Modeling Approach

Saha

2023

Preprint

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Understanding flow patterns and developing a stage-discharge relationship is essential for effectively managing and protecting water resources in watersheds. Evidence of streambank erosion at confluences due to high peak flows further highlights the urgency of implementing sustainable management strategies. However, the unavailability of discharge data for sub-watersheds necessitates the use of modeling techniques. This study employed a three-layered Hydrological model VIC to estimate the stage-discharge relationship and analyze flow dynamics. Beaver Creek, a tributary of the Clinch River, and Cox Creek, situated in Knox County, Tennessee, experience seasonal flow fluctuations and sedimentation, which pose significant challenges to stream sustainability. To validate the VIC model, downstream USGS stations were selected to compare model output flow. The VIC model incorporated vegetation, soil, and climate inputs and was calibrated using the efficient Shuffled Complex Evolution Algorithm. The final model outputs demonstrated high performance, with a Nash Sutcliffe efficiency of 0.90 and a linear correlation exceeding 0.87 compared to the USGS downstream stations. The daily fluxes accurately captured flow peaks, demonstrating the model's efficacy. Additionally, the derived stage-discharge relationship provided a power equation with a correlation of 0.76, facilitating further research and analysis. The outcomes of this study hold significant implications for future hydrodynamic modeling efforts, allowing for the observation of flood inundation and wall shear stress at the confluence of Beaver-Cox Creeks.

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New method for estimation of stage-discharge curves in natural rivers

Cited by 11 publications

References 12 publications

Flow-velocity model for hydrokinetic energy availability assessment in the Amazon

Flow-velocity model for hydrokinetic energy availability assessment in the Amazon

Investigation of stage‐discharge model performance for streamflow estimating: A case study of the Gono River, Japan

Estimating the Stage-Discharge Relationship at the Confluence of Ungauged Streams: A Hydrological Modeling Approach

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