"城轨工业工程中的大气污染控制问题分析与优化方案"

大气污染问题进行优化设计。首先分析了大气污染对环境和人类健康造成的危害，提出了解决大气污染问题的重要性。然后介绍了线性规划在运筹学中的应用，包括目标函数的设立、约束条件的确定等步骤。接着以某城市工业企业为例，详细分析了其排放污染物的情况，制定了降低污染的目标和措施。在此基础上，利用线性规划模型，得出了最优的污染物排放方案，并通过敏感性分析验证了模型的有效性。最后，总结了本文的研究成果和对今后解决大气污染问题的建议，为相关领域的研究和实践提供了有益参考。 关键词：运筹学；大气污染；线性规划；排放控制 Abstract This paper aims to optimize the control of air pollution problems with the principles of minimizing pollution and protecting the atmosphere while minimizing costs for enterprises, taking into account their mutual influence. By utilizing the knowledge of linear programming, the air pollution problem is analyzed and optimized. Firstly, the hazards of air pollution to the environment and human health are analyzed, emphasizing the importance of solving air pollution problems. Then, the application of linear programming in operations research is introduced, including the establishment of the objective function and determination of constraints. Taking an industrial enterprise in a city as an example, the paper analyzes its emission of pollutants and formulates goals and measures to reduce pollution. Based on this, a linear programming model is used to determine the optimal emission reduction plan, and the effectiveness of the model is validated through sensitivity analysis. Finally, the research results and suggestions for future solutions to air pollution problems are summarized, providing valuable reference for research and practice in relevant fields. Keywords: Operations Research; Air Pollution; Linear Programming; Emission Control