Analytical Study of Atmospheric Pollution Dispersion with Distance Dependent Wind and Constant Removal Dynamics

Authors

  • Sudhanshu Ranjan Mishra School of Computational and Integrative Science, Jawaharlal Nehru University, New Delhi-110067, India Author
  • Sapna Ratan Shah School of Computational and Integrative Science, Jawaharlal Nehru University, New Delhi-110067, India Author

DOI:

https://doi.org/10.32628/IJSRST251222722

Keywords:

Air pollution, atmospheric dispersion, passive pollutant, spatially varying wind, linear wind profile, constant removal rate, one-dimensional transport model, analytical solution, environmental modeling, pollution control strategies

Abstract

This study presents an analytical investigation into the dispersion of atmospheric pollutants under the influence of a spatially varying wind velocity and a constant pollutant removal rate. A one-dimensional, steady-state mathematical model is developed, wherein the wind velocity increases linearly with distance from the pollution source, and pollutant removal is modeled through a constant rate sink term representing scavenging processes such as chemical reactions, dry and wet deposition, and precipitation. The governing advection reaction equation is solved exactly, yielding an explicit expression for the pollutant concentration as a function of distance. Parametric analysis reveals that both increasing wind gradients and higher removal rates significantly reduce pollutant concentrations downwind. Specifically, when wind acceleration is present (i.e., non-zero wind gradient), pollutants disperse more rapidly than under constant wind conditions. Additionally, higher removal rates amplify the decay of concentration profiles, particularly in combination with accelerated wind. These findings emphasize the nonlinear interplay between transport and loss mechanisms, offering practical insights for air quality management, urban planning, and the strategic siting of emission sources.

Downloads

Download data is not yet available.

References

Arya, S. P. (1999). Air Pollution Meteorology and Dispersion. Oxford University Press.

Baklanov, A., & Borrego, C. (2006). Urban Air Pollution Modelling and Management. Springer.

El-Khattam, W., & Reitz, R. D. (2012). "Analytical Solutions for Pollutant Dispersion in the Atmospheric Boundary Layer." Atmospheric Environment, 60, 440–449.

Esau, I., & Grachev, A. (2007). "Turbulent Prandtl Number and Atmospheric Dispersion in the Stable Boundary Layer." Boundary-Layer Meteorology, 125(3), 373–385.

Hanna, S. R., Briggs, G. A., & Hosker, R. P. (1982). Handbook on Atmospheric Diffusion. U.S. Department of Energy, Technical Information Center, Oak Ridge.

Holton, J. R. (2004). An Introduction to Dynamic Meteorology (4th ed.). Elsevier Academic Press.

Jacobson, M. Z. (2002). Atmospheric Pollution: History, Science, and Regulation. Cambridge University Press.

Kumar, P., & Gulia, S. (2017). "Modeling of Urban Air Quality: Current Approaches and Future Challenges." Journal of Environmental Management, 196, 646–663. https://doi.org/10.1016/j.jenvman.2017.03.020

Nappo, C. J. (2002). An Introduction to Atmospheric Gravity Waves. Academic Press.

Pasquill, F., & Smith, F. B. (1983). Atmospheric Diffusion (3rd ed.). Ellis Horwood Ltd.

Rao, S. T. (2003). "Air Quality Models: A Review." Atmospheric Environment, 37(7), 1039–1059.

Seinfeld, J. H., & Pandis, S. N. (2016). Atmospheric Chemistry and Physics: From Air Pollution to Climate Change (3rd ed.). Wiley-Interscience.

Turner, D. B. (1994). Workbook of Atmospheric Dispersion Estimates: An Introduction to Dispersion Modeling (2nd ed.). CRC Press.

Venkatram, A., & Wyngaard, J. C. (1988). Lectures on Air Pollution Modeling. American Meteorological Society.

Zannetti, P. (1990). Air Pollution Modeling: Theories, Computational Methods and Available Software. Springer.

Downloads

Published

04-05-2025

Issue

Section

Research Articles