Application of method of temporal moments to the contaminant exit breakthrough curves from rockfill media

Document Type : Research Paper

Authors

1 Faculty of agriculture, University of Maragheh

2 Irrigation Department, Immam Khomeini University

3 Irrigation department, Immam Khomeini University

Abstract

In this research tried to examine the transport and dispersion characteristics of rockfill media with application of the two completely flowthrough discharges, two media diameters and five injection masses. Firstly by means of a digital EC sensors and related data logger system and software, the experimental BC curves have been extracted and then by application of method of temporal moments, the longitudinal dispersion coefficient and other parameters like mean residence time, variance and coefficient of skewness have been computed. Afterwards, by using analytical solution of classical advection dispersion equation and extracted coefficients from method of moments, the theoretical BC curves have been calculated and were compared with experimental ones. The applicability of method of moments have been approved by the results and also concluded that (except the climax point, in some cases) the theoretical solution can cover all regions of experimental BC curve.

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References

Bear, J., (1972), Dynamics of Fluids in Porous Media. Elsevier Science‖, New York.
Chabokpour, J.,(2013), Investigation of the behavior of suspended sediment through coarse porous medium, Ph.D Thesis, Irrigation and reclamation department, University of Tehran, Iran. (In Farsi)
Chabokpour, J., Amiri Tokaldany, E., Sedghi asl, M. (2016). Estimation of longitudinal dispersion coefficient of suspended sediments through the large porous media. Soil and water researches journal, 23(6):317-332. (In Farsi)
Chanson, H., (2004), Environmental hydraulics of open channel flows‖, Frist Edition, Elsevier Butterworth-Heinemann Linacre House, Jordan Hill, Oxford.
French, R. (1987). Open channel hydraulics‖, 2nd Edition, McGraw-Hill Book Company, New York.
Gonzalez-Pinz, R., Haggerty, R. and Dentz, M. (2013). Scaling and predicting solute transport processes in streams .Water resources research, 49, 4071–4088.
Harvey, J. W. and K. E. Bencala, (1993). The effect of streambed topography on surface-subsurface water exchange in mountain catchments. Water resources research. 29(1), 89–98.
Izadinia,E. and Abedi-Koupai, J.,(2011), Investigation of Longitudinal Dispersion Coefficient in rivers. Iran Water Resources Research. 7(1):59-66. (In Farsi)
Kashefipour, S. M. and Falconer, A. (2002). Longitudinal dispersion coefficients in Natural channels. Water resources research, 36, 1596-1608.
Mahmoudian shooshtari, M. (2008). Principles of flow in open channels. Shaid Chamran University Press.
Pang, L., Goltz, M. and Close, M. (2003). Application of the method of temporal moments to interpret solute transport with sorption and degradation. Journal of Contaminant Hydrology. 60 (2003) 123– 134.
Parsaei A, and Haghiabi, A. H. (2015). Calculation of longitudinal dispersion coefficient and modeling the pollution transmission in rivers (Case studies in Severn and Narew Rivers). Journal of Water and Soil. 29(5):1070-1085. (In Farsi)
Riahi-Madvar, H. and Ayyoubzadeh, S. A. (2007). Estimating Longitudinal Dispersion Coefficient of Pollutants Using daptive Neuro-Fuzzy Inference System. Isfahan Journal of Water and Wastewater. 19(3):34-46. (In Farsi)
Schmid, B. H. (2002). Persistence of skewness in longitudinal dispersion data: Can the dead zone model explain it after all?, Journal of hydraulic engineering. 128(9), 848–854.
Sedghi Asl, M. (2010). Investigation of the Limits of the Dupuit Analogue for Steady Gradually Varied Flow through Course Porous Media. Ph.D. Thesis. Irrigation and reclamation department. University of Tehran. (In Farsi)
Seo, I. W., and Baek, K. O. (2004). Estimation of the longitudinal dispersion coefficient using the velocity profile in natural streams. Journal of hydraulic engineering. 130(3): 227–236.
Seo, I. W., and Cheong, T. S. (1998). Predicting longitudinal dispersion coefficient in natural streams. Journal of hydraulic engineering. 124(1): 25-32.
Soltangerdfaramarzi, S., Taghizade, R., Ghasemi, M., (2015), estimation of dispersion coefficient in rivers with different data mining methods. Iranian water and soil research journal. 46 (3): 385-394. (In Farsi)
Taylor G. and Singh, V. P. (2005). Predicting longitudinal dispersion coefficient in natural stream by artificial neural network. Journal of hydraulic engineering. 131 (11):  991-1000.     
 
 
 
Iranian Journal of Soil and Water Research
Volume 49, Issue 3
May and June 2018
Pages 629-640

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