Optimum Solution to the Problem of Controlling Air Pollution

Abstract

The problem of air pollution in our country is very serious. The relevant control measures and governance effects have drawn much attention. In this paper, aiming at the problem of air pollution control in the case of a Steel Corp, first of all, in order to achieve the national emission reduction standards and to achieve the minimum pollution control costs as the optimization goal, we established a linear programming mathematical model and solved the result by using lingo software. The sensitivity of the results is analyzed. The results show that, in the case of comprehensive utilization of the three pollution control measures, the minimum annual expenditure of 32.1546 million dollars can achieve the annual emission reduction requirements of the government. This article can provide scientific guidance for enterprises to formulate the optimal emission reduction solutions, which has some reference value and practical significance.