Estimation of Algerian rivers discharges based one Chiu's equation

Ammari, Abdelhadi; Rémini, Boualem

doi:10.1007/s12517-009-0056-y

Cited by 26 publications

(10 citation statements)

References 10 publications

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“…Different cross sections of an open channel have different ratios (Chen and Chiu, 2004). Using ϕ ratio to estimate discharge of rivers has been verified in several places including: Taiwan (Chen and Chiu, 2002), US (Chiu and Chen, 2003), Italy (Moramarco et al, 2004), and Algeria (Ammari and Remini, 2010). To determine flood discharge using Eq.…”

Section: Computation Of Flood Dischargementioning

confidence: 99%

Flood discharge measurement of a mountain river – Nanshih River in Taiwan

Chen

2013

Hydrol. Earth Syst. Sci.

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Abstract. This study proposes a more efficient method of flood discharge measurement in mountain rivers that accounts for personal safety, accuracy, and reliability. Because it is based on the relationships between mean and maximum velocities and between cross-sectional area and gauge height, the proposed method utilizes a flood discharge measurement system composed of an acoustic Doppler profiler and crane system to measure velocity distributions, crosssectional area, and water depths. The flood discharge measurement system can be used to accurately and quickly measure flood data that is difficult to be collected by the conventional instruments. The measured data is then used to calibrate the parameters of the proposed method for estimating mean velocity and cross-sectional area. Then these observed discharge and gauge height can be used to establish the water stage-discharge rating curve. Therefor continuous and realtime estimations of flood discharge of a mountain river can become possible. The measurement method and system is applied to the Nanshih River at the Lansheng Bridge. Once the method is established, flood discharge of the Nanshih River could be efficiently estimated using maximum velocity and the water stage. Results of measured and estimated discharges of the Nanshih River at the Lansheng Bridge differed only slightly from each other, demonstrating the efficiency and accuracy of the proposed method.

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Section: Computation Of Flood Dischargementioning

confidence: 99%

Flood discharge measurement of a mountain river – Nanshih River in Taiwan

Chen

2013

Hydrol. Earth Syst. Sci.

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“…Indeed, it is worth noting that both the procedures, are based on concepts and equations developed within the framework of the entropic method and are well established in the scientific literature. Their reliability has been shown in several papers (e.g., [1,[13][14][15][16]25,28,31] and thus, it is reasonable that the two procedures provide very similar (if not equal) mean velocity estimations when the most appropriate estimate of the parameter M is used.…”

Section: Methodsmentioning

confidence: 81%

“…Equation (10) has been experimentally validated by several authors [12,25,[29][30][31] using data pairs consisting of U and u max , which are distributed around a straight line passing through the origin.…”

Section: The Entropy Methodsmentioning

confidence: 99%

Three Methods for Estimating the Entropy Parameter M Based on a Decreasing Number of Velocity Measurements in a River Cross-Section

Farina

Alvisi

Franchini

et al. 2014

Entropy

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Abstract:The theoretical development and practical application of three new methods for estimating the entropy parameter M used within the framework of the entropy method proposed by Chiu in the 1980s as a valid alternative to the velocity-area method for measuring the discharge in a river is here illustrated. The first method is based on reproducing the cumulative velocity distribution function associated with a flood event and requires measurements regarding the entire cross-section, whereas, in the second and third method, the estimate of M is based on reproducing the cross-sectional mean velocity U by following two different procedures. Both of them rely on the entropy parameter M alone and look for that value of M that brings two different estimates of U , obtained by using two different M-dependent-approaches, as close as possible. From an operational viewpoint, the acquisition of velocity data becomes increasingly simplified going from the first to the third approach, which uses only one surface velocity measurement. The procedures proposed are applied in a case study based on the Ponte Nuovo hydrometric station on the Tiber River in central Italy.

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“…It has been verified that the purposed method can be applied to measure discharge during floods [16], and in estuaries [17]. It has also been implemented in several places including Taiwan [18], US [19], Italy [20], and Algeria [21]. The method employs the constant ratio of mean to maximum velocities for efficiently estimating discharge.…”

Section: Discharge Computation In a Lined Canalmentioning

confidence: 99%

Discharge Estimation in a Lined Canal Using Information Entropy

Chen

Kuo

et al. 2014

Entropy

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This study applies a new method and technology to measure the discharge in a lined canal in Taiwan. An Acoustic Digital Current Meter mounted on a measurement platform is used to measure the velocities over the full cross-section for establishing the measurement method. The proposed method primarily employs Chiu's Equation which is based on entropy to establish a constant ratio the relation between the maximum and mean velocities in an irrigation canal, and compute the maximum velocity by the observed velocity profile. In consequence, the mean velocity of the lined canal can be rapidly determined by the maximum velocity and the constant ratio. The cross-sectional area of the artificial irrigation canal can be calculated for the water stage. Finally, the discharge in the lined canal can be efficiently determined by the estimated mean velocity and the cross-sectional area. Using the data of discharges and stages collected in the Wan-Dan Canal, the correlation of stage and discharge is also developed for remote real-time monitoring and estimating discharge from the pumping station. Overall, Chiu's Equation is demonstrated to reliably and accurately measure discharge in a lined canal, and can serve as reference for future calibration for a stage-discharge rating curve.

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Estimation of Algerian rivers discharges based one Chiu's equation

Cited by 26 publications

References 10 publications

Flood discharge measurement of a mountain river – Nanshih River in Taiwan

Flood discharge measurement of a mountain river – Nanshih River in Taiwan

Three Methods for Estimating the Entropy Parameter M Based on a Decreasing Number of Velocity Measurements in a River Cross-Section

Discharge Estimation in a Lined Canal Using Information Entropy

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