Team:Tianjin/Modeling/Propagation

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Modeling of the Optimum Beginning Time of Public Service Advertising on Genetic Pollution


Abstract: This section focus on how the genetic pollution been made aware by the public and the function of public service advertising (PSA) on accelerating the awareness process. Our model is based on the ordinary differential equations to describe how basic knowledge and the potential effects of genetic pollution been propagated through the public. During the analysis the model, the relationship between the propagation speed and the amount of social welfare brought about by PSA is very helpful. We conclude from the model the different optimum beginning time of PSA for different initial propagating speed which is directly related to the problem itself. In addition, we also evaluate the strength and weakness of the model and look into the future work putting forward some accessing methods.

Contents

Restatement of Our Modeling Task

With the emergency and deterioration of genetic problems, together with the lack of related knowledge, the role of PSA is becoming more and more important in popularizing the knowledge of genetic pollution. To study the function of PSA on popularization of the genetic pollution and to optimize the beginning time of the advertising.

Basic Assumption

  • The speed of propagation will be increased greatly with the help of advertisement, but this will only be useful to those who do not aware of this problem;
  • We assume the propagation speed will not reach its maximum level after stopping the advertising;
  • Ignore the change in the advertising environment and that of similar problems;
  • We also assume the propagation process is continuous process;
  • The intensity and the duration of the PSA of genetic pollution is relative unchanged;
  • The advertising content is authentic and significant;
  • The positive effects of the advertisement is immediately.

Symbol and Nomenclature

v(t): The increasing speed of population number who are aware of the problem;

T: the duration of advertising time;

t1: Starting time of the advertisement;

A(t): the intensity (use the cost of advertisement to represent it);

β: Attenuation factor;

M:Maximum level,which means all people are aware of the genetic problem;

ω:The social welfare brought about by awareness of the problem;;

a: The total cost of the advertisement;

Q(t): the average social welfare;

E: response factor which means the level of response of A(t) to V(t).

Establishment of Our Model

In the propaganda of genetic pollution, with more and more people knowing and becoming familiar with them, the speed of transmission will approach an equilibrium state. The advertisement will increase the speed through which the people get to know the problem, and the level increased will be directly related to the intensity of the advertisement. This approach will only impact those who are not aware of the problem. What is more, natural attenuation is an inherent property of all the objects, which means the speed of propagandize will decrease as the advertising time goes by. Based on the above description, we can establish our differential equation as shown in equation (1)

equation1

Therefore, if the A(t)=0 or V(t)=M, we can have the equation (2)

equation2

In order to solve the equation (1), we choose the following model to describe the intensity of advertisement (the pulsing schedule).

other1

Within the duration of (t1, t</sub>1</sub>+T), if the cost of public service advertisement is a,then we have: A=a/T substitute it into the equation (1),we can have equation (3)

equation3

Sinceβ, a, T, t1, M are all constants, we can assume

other2

Then we have:

equation4

If we assume: V(t1)=V1

then:

equation5

When 0≤t≤t1, t≥t1+T we can have:

other3

The general solution is:

other4

When t=0, V(0)=V0

So

other5

Then:

other6

When t=t1+T, V(t)=V2

Thus,

other7

Finally, we can have

equation6

Thus the general tendency chart is shown Fig. 1.

Figure 1.

Model Analysis

If we use V0 to represent the initial propaganda speed, thus the magnitude of V0 will be directly related to the problem itself. We can discuss and obtain the optimum beginning time t1 of different problems with different V0. We can set the maximizing the average profits from the beginning of the problem till the end of the advertisement as our objective function (OBJ), then the following optimal value function.

equation7

Then:

equation8

Model 1

If V0 are very small, this means the genetic pollution related problem is difficult to gain public attention. However, the potential dangers hidden beside will be destructive if there is not enough public attention and related precautionary measure. As a result, we also call the small speed under such condition the dangerous speed. We can conclude from equation (8) that the less V(t) is, the more significant the PSA are. The function of average social welfare can also be derivate.

If the advertising propagation begins at t1=0, the average social welfare

equation9

The curve of this function is shown in Fig. 2, and we can also conclude from the figure that the t1=0is the optimum beginning time of the propagation.

Figure 2.

Model 2

If the value of V0 is so large, so it can avoid the danger of lacking enough public attention, we can call it the safe speed. Even if, with more and more people get to know it, the propagation speed will also decrease, spending a lot of money on advertisement immediately is not wise. To save the money and to gain better propagation effects, we had better do some advertisement after a short while when the propagation speed are enough small. If we assume V1 is the initial propaganda speed which is larger than the critical speed of the propagation.

We can have the profit function which is the relationship between Q(t), V1 and t1.

equation10

While,

other8

Within equation (10), β, b, k, ω are coefficients that are known to us, they are obtained from the problem itself and the mental factors which will be decided case by case.

This equation can be solved through software. If different V0, V1, a and T are obtained from the actual conditions. Through comparison, we can conclude the different beginning timet1 and related maximum social welfare Q(t).

What we can conclude from the Figure 3 (tendency curve) is that the optimum beginning time is not when t1=0.

Figure 3.

Model Evaluation

Future Work

Reference