Abstract
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.
Similar content being viewed by others
References
Ahmad Z (2008) Finite volume model for steady state transverse mixing in streams. J Hydraul Res 46(1):72–80
Ahmad Z, Azmathulla MH, Zakaria NA (2011) ANFIS based approach for estimation of transverse mixing coefficient. Water Sci Technol 63:1005–1010
Azmathulla HM, Ghani AA (2011) Genetic programming for predicting longitudinal dispersion coefficients in streams. Water Resour Manag 25:1537–1544
Baek KO (2018) Flowchart on choosing optimal method of observing transverse dispersion coefficient for solute transport in open channel flow. Sustainability 10(5):1332–1339
Baek KO, Seo IW (2010) Routing procedures for observed dispersion coefficients in two-dimensional river mixing. Adv Water Resour 33(12):1551–1559
Biron PM, Ramamurthy AS, Han S (2004) Three dimensional numerical modeling of mixing at river confluences. J Hydraul Eng 130(3):243–253
Bogle GV (1997) Stream velocity profiles and longitudinal dispersion. J Hydraul Eng 123(9):816–820
Chiu CL (1987) Entropy and probability concepts in hydraulics. J Hydraul Eng 113(5):583–599
Chiu CL (1988) Entropy and 2-D velocity distribution in open channels. J Hydraul Eng 114(7):738–756
Chiu CL (1989) Velocity distribution in open channel flow. J Hydraul Eng 115(5):576–594
Cui H, Singh VP (2013) Two dimensional velocity distribution in open channels using the Tsallis entropy. J Hydrol Eng 18(3):331–339
Demetracopoulos AC, Stefan HG (1983) Transverse mixing in wide and shallow river: case study. J Environ Eng 109(3):685–699
Deng ZQ, Singh VP, Bengtsson L (2001) Longitudinal dispersion coefficient in straight rivers. J Hydraul Eng 127(11):919–927
Elhadi N, Harrington A, Lau YL, Krishnappan BG (1984) River mixing: a-state-of-the-art report. Can J Civ Eng 11(3):585–609
Fischer HB, List EJ, Koh RCY, Imberger J, Brooks NH (1979) Mixing in inland and coastal waters. Academic Press, New York
Fletcher SG, Ponnambalam K (1996) Estimation of reservoir yield and storage distribution using moments analysis. J Hydrol 182:259–275
Jaffal I (2023) Physics-informed machine learning for meta-modelling thermal comfort in non-air-conditioned buildings. Build Simul 16:299–316
Jobson HE (1997) Predicting travel time and dispersion in rivers and streams. J Hydraul Eng 123(11):971–978
Jones MC (2009) Kumaraswamy’s distribution: a beta-type distribution with some tractability advantages. Stat Methodol 6:70–81
Kironoto BA, Graf WH (1994) Turbulence characteristics in rough uniform open-channel flow. Proc Ins Civ Eng Water Maritime Energy 106:333–344
Kobaka J (2021) A statistical model of fibre distribution in a steel fibre reinforced concrete. Materials 14(7297):1–10
Kumaraswamy P (1980) A generalized probability density function for double-bounded random processes. J Hydrol 46:79–88
Lemonte AJ (2011) Improved point estimation for the Kumaraswamy distribution. J Stat Comput Simul 81(12):1971–1982
Lu J, Zhou Y, Zhu Y, Xia J, Wei L (2018) Improved formulae of velocity distributions along the vertical and transverse directions in natural rivers with the sidewall effect. Environ Fluid Mech 18:1491–1508
Luo H, Singh VP (2011) Entropy theory for two-dimensional velocity distribution. J Hydrol Eng 16(4):303–315
Mallick RB (2022) A probabilistic understanding of the effect of voids and layer thickness on interconnectivity of voids in asphalt mixes: an agent-based modeling approach. J Transp Eng Part b: Pavements 148(2):06022001
Nagesh S, Dharmannavar L (2021) Application of Kumaraswamy distribution for maximum flood heights at Naraj Barrage in Mahanadi River Basin, Cuttack, Orissa. Earth Sci India 14(3):122–131
Nakagawa H, Nezu I, Ueda I (1975) Turbulence of open channel flow over smooth and rough beds. Proc Jpn Soc Civ Eng 241:155–168
Natarajan N, Vasudevan M, Rehman S (2022) Evaluation of suitability of wind speed probability distribution models: a case study from Tamil Nadu, India. Environ Sci Pollut Res 29:85855–85868
Nezu I (2005) Open channel flow turbulence and its research prospect in the 21st century. J Hydraul Eng 131(4):229–246
Nezu I, Rodi W (1986) Open channel flow measurements with a laser doppler anemometer. J Hydraul Eng 112(5):335–355
Pilechi A, Mohammadian A, Rennie CD, Zhu DZ (2016) Efficient method for coupling field data and numerical modelling for the estimation of transverse mixing coefficients in meandering river. J Hydraul Eng 142(6):04016009
Rutherford JC (1994) River mixing. Wiley, Chichester, UK
Sayre WW, Yeh TP (1973) Transverse mixing characteristics of the Missouri River downstream from the cooper nuclear station. IIHR Rep. no. 145, Iowa Institute of Hydraulic Research, University of Iowa, Iowa, USA
Seo IW, Baek KO (2004) Estimation of the longitudinal dispersion coefficient using the velocity profile in natural streams. J Hydraul Eng 130(3):227–236
Seo IW, Song CG (2010) Specification of wall boundary conditions and transverse velocity profile conditions in finite element modelling. J Hydrodyn 22(5):633–638
Seo IW, Baek KO, Jeon TM (2006) Analysis of transverse mixing in natural streams under slug tests. J Hydraul Res 44(3):350–362
Seo IW, Gadalrab MS (1999) Estimation of dispersion coefficient using different forms of transverse velocity distribution. Proceedings of WEESHEE-99, pp 217–226
Sharma H, Ahmad Z (2014) Transverse mixing of pollutants in streams: a review. Can J Civ Eng 41(5):472–482
Sharma H, Ahmad Z (2018) Enhancing transverse mixing in streams with submerged vanes. Environ Fluid Mech 18(3):661–681
Sharma H (2016) Enhanced transverse mixing of pollutants in streams with submerged vanes, PhD Thesis, IIT Roorkee, Roorkee, India
Singh VP, Luo H (2011) Entropy theory for distribution of one-dimensional velocity in open channels. J Hydrol Eng 16(9):725–735
Singh S, Ahmad Z, Kothyari UC (2009) Two-dimensional mixing of pollutants with transverse line source. J Hydraul Res 47(1):90–99
Singh S, Ahmad Z, Kothyari UC (2010) Mixing coefficients for longitudinal and vertical mixing in near field of a surface pollutant discharge. J Hydraul Res 48(1):91–99
Singh S (2005) Two dimensional mixing of pollutants in open channels. PhD thesis, IIT Roorkee, Roorkee, India
Sooky AA (1969) Longitudinal dispersion in open channels. J Hydraul Div 95(4):1327–1346
Tominaga N, Nezu I (1992) Velocity profiles in steep open channel flows. J Hydraul Eng 118(1):73–90
Yotsoukura N, Fischer HB, Sayre WW (1970) Measurement of mixing characteristics of the Missouri River between Sioux City, Iowa, and Plattsmouth, Nebraska. Geological survey water supply paper 1899-G, Iowa, USA
Zhang W, Zhu DZ (2011a) Near-field mixing downstream of a multiport diffuser in shallow river. J Hydraul Eng 137(4):230–240
Zhang W, Zhu DZ (2011b) Transverse mixing in an unregulated Northern river. J Hydraul Eng 137(11):1426–1440
Acknowledgements
Corresponding author hereby wants to thank Prof. Zulfequar Ahmad, Department of Civil Engineering, IIT Roorkee, to provide the code utilized in Ahmad (2008) without which present study wouldn’t have been possible.
Funding
For the present no funding was availed by the authors to conduct the study.
Author information
Authors and Affiliations
Contributions
In present manuscript, corresponding author was responsible for development of idea and manuscript while second author developed a program which utilized least square method to estimate the distribution's parameters
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Sharma, H., Joshi, N. Estimation of transverse velocity and concentration profile using Kumaraswamy distribution. Stoch Environ Res Risk Assess 38, 251–261 (2024). https://doi.org/10.1007/s00477-023-02576-0
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00477-023-02576-0