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Fig. 6 Variation of cumulative density of mitigation options MM with time f for different values of A,

Figure 6 Variation of cumulative density of mitigation options MM with time f for different values of A,

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In order to analyze the model system (1) - (4), the following lemma is stated without proof. The model system (1) — (4) has four equilibria namely,
In order to analyze the model system (1) - (4), the following lemma is stated without proof. The model system (1) — (4) has four equilibria namely,
Consider a positive definite function as,
Consider a positive definite function as,
Table 1 Parameter values for the model system (1) — (4). The equilibrium values of different variables in E are obtained as follows.
Table 1 Parameter values for the model system (1) — (4). The equilibrium values of different variables in E are obtained as follows.
Fig. 3 Variation of atmospheric concentration C of methane with time ¢ for different values of A, From these figures, it is found that as the emission rate coefficients of methane due to livestoc
Fig. 3 Variation of atmospheric concentration C of methane with time ¢ for different values of A, From these figures, it is found that as the emission rate coefficients of methane due to livestoc
Fig. 4 Variation of atmospheric concentration C of methane with time ¢ for different values of ”) |
Fig. 4 Variation of atmospheric concentration C of methane with time ¢ for different values of ”) |
Fig. 5 Variation of atmospheric concentration C of methane with time ¢ for different values of A.
Fig. 5 Variation of atmospheric concentration C of methane with time ¢ for different values of A.
Fig. 7 Variation of cumulative density of mitigation options MM with time f for different values of Ag ;
Fig. 7 Variation of cumulative density of mitigation options MM with time f for different values of Ag ;
Related topics:
Numerical SimulationsDifferential Equations
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