Technical Papers
Jun 3, 2022

Fractal Dispersion Pollutant Transport Modeling with Spatially Varying Sorption and Degradation Effect

Publication: Journal of Environmental Engineering
Volume 148, Issue 8

Abstract

The present study deals with the generalized one-dimensional (1-D) advection fractal dispersion (AFD) equation. The numerical simulation is carried out to simulate the plume’s fate and transport phenomenon in a finite porous medium. The present model is developed for chemical substitute migration in soil with spatial varying advection and its corresponding fractal dispersion. Moreover, it is adequate for deliberating spatial varying sorption and first-order biological degradation due to reaction processes in the soil. As in generalized dispersion theory, the dispersion term is expressed to be directly proportional to seepage velocity by some power α, where α varies from 1 to 2. The present numerical study is capable of dealing with various types of advection and its corresponding fractal dispersion. Initially, we have assumed that the aquifer was pollutant-free. At the inlet of the domain, some pollutant source has been considered, and at the outlet boundary, it is assumed that the pollutant concentration disappears to zero. The pollutant concentration distribution has been observed in different types of porous medium as well as for various hydrological parameters. The current generalized AFD model is based on the implicit finite difference technique, which can illustrate chemical migration in the soil to the groundwater, and further, the MATLAB version R2013a(8.1.0.604) Pdepe tool technique validates it. A special case study is also discussed regarding the migration of Iron (Fe) and Zinc (Zn) in the soil. Afterwards, the numerical model is used to illustrate the breakthrough curves (BTCs) for the various transport parameters, and the accuracy of the model problem is also discussed using root mean square error (RMSE).

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Data Availability Statement

Some or all data, models, or code generated or used during the study are proprietary or confidential in nature and may only be provided with restrictions. Code available upon request includes the numerical code developed to solve the generalized fractal dispersion model.

Acknowledgments

The authors are thankful to the Indian Institute of Technology (Indian School of Mines) and Dhanbad for providing financial assistance to the Ph.D. Scholar. The authors are also thankful to the editor and reviewers for their constructive comments which helped to improve the quality of the paper.

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Go to Journal of Environmental Engineering
Journal of Environmental Engineering
Volume 148Issue 8August 2022

History

Received: Nov 11, 2021
Accepted: Mar 27, 2022
Published online: Jun 3, 2022
Published in print: Aug 1, 2022
Discussion open until: Nov 3, 2022

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Sohini Rajput [email protected]
Ph.D. Candidate, Dept. of Mathematics and Computing, Indian Institute of Technology, Indian School of Mines, Dhanbad, Jharkhand 826004, India (corresponding author). Email: [email protected]
Mritunjay Kumar Singh, M.ASCE [email protected]
Professor, Dept. of Mathematics and Computing, Indian Institute of Technology, Indian School of Mines, Dhanbad, Jharkhand 826004, India. Email: [email protected]

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