Estimation of transverse velocity and concentration profile using Kumaraswamy distribution

To measure the transverse distribution of the velocity is very important as it is associated with riverine flow processes like distribution of shear stress, sediment concentration distribution, diffusion coefficients, secondary current’s distribution, etc. Many formulations were proposed for transve...

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Bibliographic Details
Published in:Stochastic environmental research and risk assessment 2024, Vol.38 (1), p.251-261
Main Authors: Sharma, H., Joshi, N.
Format: Article
Language:English
Subjects:
Aquatic Pollution
Chemistry and Earth Sciences
Computational Intelligence
Computer Science
Creeks & streams
Diffusion coefficient
Earth and Environmental Science
Earth Sciences
Effluents
Environment
Environmental research
Math. Appl. in Environmental Science
Original Paper
Physics
Pollutants
Probability Theory and Stochastic Processes
riparian areas
risk
Risk assessment
Rivers
Sediment concentration
sediments
Shear stress
Skewness
Statistics for Engineering
Stress concentration
Velocity
Velocity distribution
Waste Water Technology
Water Management
Water Pollution Control
Water quality
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Summary:To measure the transverse distribution of the velocity is very important as it is associated with riverine flow processes like distribution of shear stress, sediment concentration distribution, diffusion coefficients, secondary current’s distribution, etc. Many formulations were proposed for transverse distribution of velocity with each being somehow complex in its application. In present study Kumaraswamy’s distribution was utilized to propose a transverse velocity distribution which uses mean velocity and Kumaraswamy’s parameters a and b . It was observed in the study that skewness in the velocity distribution is a function of both a and b . Kumaraswamy’s distribution have been observed to predict the velocity profile in a satisfactory manner and when utilized to predict the transverse concentration profile along-with a method developed by Ahmad, predicted it satisfactorily.
ISSN:1436-3240
1436-3259
DOI:10.1007/s00477-023-02576-0