Affiliation:
1. Water Engineering Department, Lorestan University, Khorramabad, Iran
Abstract
Modeling pollution transmission in rivers is an important subject in environmental engineering studies. Numerical approaches to modeling pollution transmission in rivers are useful tools for managing the water quality. The advection-dispersion equation is the governing equation in the transport of pollution in rivers. Recently, due to advances in fractional calculus in engineering modeling, the simulation of pollution transmission in rivers has been improved using the fractional derivative approach. In this study, by solving the fractional advection-dispersion equation (FRADE), a numerical model was developed for the simulation of pollution transmission in rivers with stagnant zones. To this purpose, both terms of the FRADE equation (advection and fractional dispersion) were discretized separately and the results were connected using a time-splitting technique. The analytical solution of a modified advection-dispersion equation (MADE) model and observed data from the Severn River in the UK were used to demonstrate the model capabilities. Results indicated that there is a good agreement between observed data, the analytical solution of the MADE model, and the results of the developed numerical model. The developed numerical model can accurately simulate the long-tailed dispersion processes in a natural river.
Subject
Water Science and Technology
Reference55 articles.
1. Prediction of longitudinal dispersion coefficient in natural streams by prediction map;Altunkaynak;Journal of Hydro-Environment Research,2016
2. Longitudinal dispersion in natural channels: l. Experimental results from the River Severn, UK;Atkinson;Hydrology and Earth System Sciences,2000
3. Support vector machine approach for longitudinal dispersion coefficients in natural streams;Azamathulla;Applied Soft Computing,2011
4. Prediction of side weir discharge coefficient by support vector machine technique;Azamathulla;Water Science and Technology: Water Supply,2016
5. A watershed water quality evaluation model using data mining as an alternative to physical watershed models;Cho;Water Science and Technology: Water Supply,2016
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