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On a mathematical model involving aleph-function to study the effects of environmental pollution on biological population

Abstract

A lot of research work has been carried out pertaining to the adverse effects of environmental pollutant and factors by several researchers. In this paper an attempt has been made to study the effect of environmental pollution on the growth and existence of biological populations by presenting a mathematical model involving Aleph (ℵ)- Function. It is shown here that the habitat still remains asymptotically stable but at much reduced levels implying that if the concentration of pollutant continues to increase in the environment unabatedly, the species may not exist for long. The results established in this paper are general in nature and yield numerous cases of interest on suitable specifications of parameters involved therein.

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Introduction

Environmental pollution is a worldwide problem, having a great potential to influence not only the physiology of human population but also causing grave and irreparable damage to the earth. Environmental Pollution is the contamination of the physical and biological components of the earth/atmosphere to such an extent that normal environmental processes are adversely affected [26,27,28] . The biological and ecological consequences of pollution in our environment may be considered in several ways depending upon the toxic level of pollutants (acuteor chronic) and the Eco toxicological situations. One such situation is where the pollutants can adversely affect the natural resources, thereby influencing the growth of other biological populations which may be depending upon these resources. Another such situation is where the pollutants can affect directly the species accompanied by rapid injury to the principal physiological and biochemical systems of the organism. This results in lethal toxication, elimination of individual species and populations or causes profound pathological alterations on the level of individual organisms, individual populations, and occasionally on entire ecosystems which might change the carrying capacity of the environment [1,3,6,7,8,25] . Various investigations have also been carried out in this direction, both experimentally and mathematically [6,7,8,12,13,14] . The deleterious effect of environmental pollution on interacting biological populations depends upon the toxicity and the level of pollutant, the sort of damage it causes to the physiological and biochemical systems of the populations and their environment. In light of the above discussion, in this paper, we have studied the effect of environmental pollution on the growth and existence of two interacting biological populations in the situation where the pollutant causes injury to the principal physiological and biochemical systems of the populations and their environment. To study this situation, we presented a mathematical model involving the Aleph (ℵ)-Function [19] by considering thatthe growth rate of species and the carrying capacity of its environment are directlyaffected by pollution and decrease as the concentration of the pollutant increases. For the present study, we have used the Aleph (ℵ)function, introduced by Südland et al. ( [19] ; see also [15] ), is defined in terms of Mellin Barnes type integrals as:

The integration path 𝐿 = 𝐿 𝜔𝛾∞ , 𝛾𝜖 ℜ extends from 𝛾 -𝜔∞ 𝑡𝑜 𝛾 + 𝜔∞, and is such that the poles of Γ(1 -𝑎 𝑗 -𝐴 𝑗 𝑠), 𝑗 = 1, 𝑛 ̅̅̅̅̅ do not coincide with the poles of Γ(𝑏 𝑗 + 𝐵 𝑗 𝑠), 𝑗 = 1, 𝑚 ̅̅̅̅̅̅ . The parameters 𝑝 𝑖 𝑎𝑛𝑑 𝑞 𝑖 are non-negative integers satisfying the condition )

we get the I -Function due to Saxena [16] , defined in the following manner (𝜉) can be obtained from (1.2).

Mathematical Model

Consider the growth of interacting and dispersing biological species of density Ni (x,t), (i = 1, 2) in a one dimensional linear habitat 0.5 x ≤ L, whose growth rate and the carrying capacity of the environment are decreasing due to the environmental pollution which obey the power-law behaviour (For more details one can see [20,21,23,24] ) present in the habitat.

The dynamical equations governing the growth of the species are assumed to be given by the following system of non-linear partial differential equations

where 𝐹 𝑖 (𝑁 1 , 𝑁 2 , 𝑟 𝑖 (𝐶), 𝐾 𝑖 (𝐶))determines the interaction function of the species, 𝑟 𝑖 (𝐶) 𝑎𝑛𝑑 𝐾 𝑖 (𝐶)are the intrinsic growth rate and the carrying capacity of the environment respectively, which are affected by the concentration 𝐶(𝑥, 𝑡) of pollutant. The positive constant 𝐷 𝑖 (i = 1, 2) is the dispersion coefficient of the species. The dynamics of the concentration 𝐶(𝑥, 𝑡)of the pollutant is considered to be given by the following equation-

where, 𝑄 0 > 0 is the constant determining the exogenous rate of input of pollutantinto the habitat, α > 0 represents the first order decay constant as a result ofbiological (including consumption by the species), chemical or geological processes.𝐷 𝑐 > 0is the diffusion coefficient of the pollutant.

In the formulation of the mathematical model it has been assumed that the organismal uptake of the pollutant is proportional to the concentration of the pollutant present in the environment of the population. The solution of (2.2)has been obtained in the terms of ℵfunction in the subsequent section of this paper.

Result in terms of ℵ-function

We choose the concentration 𝐶(𝑥, 𝑡) in terms of ℵ-function as

Special Case(S)

(i) On taking 𝜏 𝑖 =1, 𝑟 = 1in (3.8), we readily get the resultin terms of Fox's H-Function due to Singh and Mehta [17] .

(ii) On taking 𝜏 𝑖 =1 in (3.8), we readily get the result due to Bhargava, Srivastava and Mukherjee [2] .

(iii) On suitably specifying the parameters involved in the result obtained here, we can easily get numerous results (known and new) involving several other higher transcendental functions which are of interest in themselves.

Conclusion

It is shown here that the habitat still remains asymptotically stable but at much reduced levels implying that if the concentration of pollutant continues to increase in the environment unabatedly, the species may not exist for long. In view of the generality of the ℵ-function, on specializing the various parameters, we can obtain from the result (3.8), several results involving a remarkably wide variety of useful functions, which are expressible in terms of the H-function, the I-function, the G-function of one variable and their various special cases. Thus the result obtained here can prove to be very useful in the literature of Applied Mathematics and other branches as well.

References

  1. Aubert M, Aubert J. Pollutions et Amenagement Des Rivages, C.E.R.B.O.M. 1973, 308.
  2. Bhargava A, Srivastava A, Mukherjee R. On a mathematical model involving I -function for studying the effect of environmental pollution, Proc. Natl. Acad. Sci., India, Sect. A Phys. Sci. 2016. doi:10.1007/s40010-016-0319-4
  3. Charles N, Haas J. Application of predator-prey models to disinfection, WPCF, 1981; 53:378-86.
  4. Feretis E, Theodorakopoulos P, Varotsos C, Efstathiou M, Tzanis C, Xirou T, et al. On the plausible association between environmental conditions and human eye damage. Environmental Science and Pollution Research, 2002; 9(3):163-165.
  5. Fox C. The G-and H-functions as symmetrical Fourier kernels, Trans. Amer. Math. Soc. 1961; 98:395-429.
  6. Hallam TJ, Deluna JL. Effects of toxicant on populations: a qualitative approach III. Environmental and food chain pathways, J. Theor. Biol. 1984; 109:411-29.
  7. Hari P, Raunemaa T, Hautojarvi A. The effects on forest growth of air pollution from energy production, Atmospheric Environment, 1986; 20(1):129-137.
  8. Jensen AL, Marshall JS. Application of a surplus production model to asses environmental impacts on exploited populations of Daphnia Pulex in the laboratory, Environmental Pollution (Series A). 1982; 28:273-80.
  9. Katsambas AD, Katoulis AC, Varotsos C. Sun education in Greece. Clinics in dermatology. 1998; 16(4):525-526.
  10. Mathai AM, Saxena RK. The H-Function with Applications in Statistics and Other Disciplines, Wiley Eastern Limited, New Delhi, Bangalore, Bombay, 1978.
  11. Mathai AM, Saxena RK, Haubold HJ. The H -Function: Theory and Applications, Springer, 2010.
  12. Mironov OG. Biological Resources of the Sea and Oil pollution, pishechevaya Promyshlennost, Moscow, 1972, 105.
  13. Nelson SA. Advances in Marine Biology, Academic Press, London, 1970, 215-306.
  14. Patin SA. Pollution and the Biological Resources of the Oceans, Butter Worth Scientific, London, 1982.
  15. Saxena RK, Pogany TK. Mathieu type series for the ℵ-Function occurring in Fokker-Planck equation. Eur. J. Pure Appl. Math. 2010; 3(6):980-988.
  16. Saxena VP. The I-Function, Anamaya Publishers, New Delhi, 2008.
  17. Singh SN, Mehta R. Effect of Environmental Pollution on the Growth and Existence of Biological Populations Involving HFunction. IOSR Journal of Mathematics. 2012; 1(3):01-02.
  18. Srivastava HM, Gupta KC, Goyal SP. The H-Functions of One and Two Variables with Applications, South Asian Publishers, New Delhi, Madras, 1982.
  19. Südland N, Baumann B, Nonnenmacher TF. Open Problem: Who knowsabout the Aleph (ℵ)-Functions? Fract. Calc. Appl. Anal. 1998; 1(4):401-402.
  20. Varotsos C, Efstathiou M, Tzanis C, Deligiorgi D. On the limits of the air pollution predictability: the case of the surface ozone at Athens, Greece. Environmental Science and Pollution Research, 2012; 19(1):295-300.
  21. Varotsos C, Assimakopoulos MN, Efstathiou M. Technical Note: Long-term memory effect in the atmospheric CO2 concentration at Mauna Loa. Atmospheric Chemistry and Physics, 2007; 7(3):629-634.
  22. Varotsos C, Feretis E. Health effects on human eye resulting from the increased ambient solar ultraviolet radiation. Toxicological & Environmental Chemistry, 1997; 61(1-4):43-68.
  23. Varotsos C, Ondov J. Efstathiou M. Scaling properties of air pollution in Athens, Greece and Baltimore, Maryland. Atmospheric Environment, 2005; 39(22):4041-4047.
  24. Varotsos CA, Ondov JM, Cracknell AP, Efstathiou MN, Assimakopoulos MN. Long-range persistence in global Aerosol Index dynamics. International Journal of Remote Sensing. 2006; 27(16):3593-3603.
  25. Woodman JN, Cowling EB. Airborne Chemicals and forest health. Environ. Sci. Tech. 1987; 21:120-26S.
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