Abstract
In this paper, an original nonlinear mathematical model for the removal of gaseous pollutants and particulate matters from the atmosphere of an industrial city by rain is proposed and analyzed. It is assumed that five interacting phases in the atmosphere of the city exist, i.e., cloud droplets phase, raindrops phase, gaseous pollutants phase, particulate matters phase, and the phase of absorbed gaseous pollutants in raindrops. It is assumed further that these phases undergo nonlinear interactions in the atmosphere, while gaseous pollutant interacts with cloud droplets as well as with raindrops but particulate matters interact only with raindrops. The gravitational settling and reversible reaction processes have also been considered appropriately in the model. By analyzing the model, it is shown that both the gaseous pollutants and particulate matters may be removed from the atmosphere under certain conditions, provided the rates of formation of cloud droplets and raindrops are sufficiently large. It is noted that under unfavorable atmospheric conditions, rain does not occur and pollutants are not removed from the atmosphere.
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References
Blando, J. D., & Turpin, B. J. (2000). Secondary organic aerosol formation in cloud and fog droplets: a literature evaluation of plausibility. Atmospheric Environment, 34, 1623–1632.
Davies, T. D. (1976). Precipitation scavenging of SO2 in an industrial area. Atmospheric Environment, 10, 879–890.
Davies, T. D. (1979). Dissolved SO2 and sulphate in urban and rural precipitation. Atmospheric Environment, 13, 1275–1285.
Davies, T. D. (1983). Sulfur dioxide precipitation scavenging. Atmospheric Environment, 17, 797–805.
Fisher, B. E. A. (1982). The transport and removal of sulfur dioxide in rain system. Atmospheric Environment, 16, 769–778.
Freedman, H. I., & So, J. W. H. (1985). Global stability and persistence of simple food chains. Mathematical Biosciences, 7, 69–86.
Hales, J. M. (1972). Fundamentals of the theory of gas scavenging by rain. Atmospheric Environment, 6, 635–659.
Kumar, S. (1985). An Eulerian model for scavenging of pollutants by rain drops. Atmospheric Environment, 19, 769–778.
Moore, K. F., Sherman, D. E., Reilly, J. E., & Collett, J. L. (2004). Drop size dependent chemical composition in clouds and fogs. Part 1, observations. Atmospheric Environment, 38(10), 1389–1402.
Moore, K. F., Sherman, D. E., Reilly, J. E., & Collett, J. L. (2004). Drop size dependent chemical composition in clouds and fogs. Part II. Atmospheric Environment, 38(10), 1403–1415.
Naresh, R. (1999). Modelling the dispersion of air pollutant from a time dependent point source: effect of precipitation scavenging. Journal of MACT, 32, 77–91.
Naresh, R. (2003). Qualitative analysis of a nonlinear model for removal of air pollutants. International Journal of Nonlinear Sciences and Numerical Simulation, 4(4), 379–385.
Pandey, J., Agrawal, M., Khanam, M., Narayanan, D., & Rao, D. N. (1992). Air pollution concentration in Varanasi, India. Atmospheric Environment, 26B, 91–98.
Pandis, S. N., & Seinfeld, J. H. (1990). On the interaction between equilibration process and wet or dry deposition. Atmospheric Environment, 24A(9), 2316–2327.
Pillai, A., Naik, M. S., Momin, G., Rao, P., Safari, P., Ali, K., Rodhe, H., & Granat, L. (2001). Studies of wet deposition and dust fall at Pune, India. Water, Air and Soil Pollution, 130, 475–480.
Prakash Rao, P. S., Khemani, L. T., Momin, G. A., Safai, P. D., & Pillai, A. G. (1992). Measurement of wet and dry deposition at an urban location in India. Atmospheric Environment, 26B, 73–78.
Sharma, V. P., Arora, H. C., & Gupta, R. K. (1983). Atmospheric pollution studies at Kanpur-suspended particulate matter. Atmospheric Environment, 17, 1307–1314.
Shukla, J. B., Agrawal, A., Dubey, B., & Singh, P. (2001). Existence and survival of two competing species in a polluted environment: A mathematical model. Journal of Biological Systems, 9(2), 89–103.
Shukla, J. B., Agarwal, M., & Naresh, R. (1992). An ecological type nonlinear model for removal mechanism of air pollutants. In S. E. Schwartz & W. G. N. Slinn (Eds.), Precipitation scavenging and atmosphere surface exchange, vol. 3 (pp. 1255–1263). Richland, Washington, U.S.A.: Hemisphere Publishing Corporation.
Shukla, J. B., Agrawal, A. K., Singh, P., & Dubey, B. (2003). Modelling the effect of primary and secondary toxicants on renewable resources. Natural Resource Modelling, 16, 1–22.
Shukla, J. B., & Dubey, B. (1997). Modelling the depletion and conservation of forestry resource: Effect of population and pollution. Journal of Mathematical Biology, 36, 71–94.
Shukla, J. B., Nallaswamy, R., Verma, S., & Seinfeld, J. H. (1982). Reversible absorption of a pollutant from an area source in a stagnant fog layer. Atmospheric Environment, 16, 1035–1037.
Slinn, W. G. N. (1974). The redistribution of gas plume caused by reversible washout. Atmospheric Environment, 8, 233–239.
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Appendices
Appendix A
Proof of the Theorem 1
To establish the local asymptotic stability of E *, let us consider the following positive definite function,
where C d1, C r1, C 1, C a1, and C p1 are small perturbations from E*, i.e.,
Differentiating (A1) w.r.t ‘t’ and using the linearized system of Equations (1)–(5) corresponding to E *, we get
For \( \frac{{dV}} {{dt}} \) to be negative definite, the following inequalities must be satisfied in (A2),
Now choosing the constants k 1 = 1, \( k_{0} > \frac{{3rC^{ * }_{{\text{r}}} }} {{C^{ * }_{{\text{d}}} {\left( {\lambda _{0} + \lambda _{1} C^{ * } } \right)}}} \), the above inequalities reduce to the following forms after some simplifications,
where the coefficient k 2 is so chosen that the inequalities (A3) and (A5) are satisfied.
Under these conditions, \( \frac{{dV}} {{dt}} \) would be negative definite showing that V is Lyapunov’s function and hence the theorem.
Appendix B
Proof of the Theorem 2
To establish nonlinear asymptotic stability of E* we take the following positive definite function about E*,
On differentiation of (B1) and using Equations (1)–(5), we get
After some algebraic manipulations, the above equation can be written as
Now \( \frac{{dU}} {{dt}} \) will be negative definite if the following inequalities are satisfied:
Now choosing appropriate values of the variables from Ω and the constants m 1 = 1, \( m_{0} > \frac{{3r}} {{r_{0} \lambda _{0} }} \) the above inequalities reduce to the following forms after some simplifications,
where the coefficient m 2 is so chosen that the inequalities (B4) and (B6) are satisfied.
Under these conditions, \( \frac{{dU}} {{dt}} \) would be negative definite showing that U is Lyapunov’s function and hence the theorem.
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Shukla, J.B., Sundar, S., Misra, A.K. et al. Modelling the Removal of Gaseous Pollutants and Particulate Matters from the Atmosphere of a City by Rain: Effect of Cloud Density. Environ Model Assess 13, 255–263 (2008). https://doi.org/10.1007/s10666-007-9085-7
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DOI: https://doi.org/10.1007/s10666-007-9085-7