大气污染总量控制GA方法中的多源模拟系统  

Multi-source simulation system for controlling total amount of atmospheric pollution in GA method

作　　者：陈义 Chen Yi(Huailai County Environmental Protection Bureau, Zhangjiakou Hebei 075400, Chin)

机构地区：[1]怀来县环保局,河北张家口075400

出　　处：《环境与发展》2018年第4期74-75,共2页Environment & Development

摘　　要：大气污染总量控制遗传算法,指的是利用遗传算法的搜索寻优功能,经过模拟自然进化机制来求解全局优化区域内允许的排放总量,是一种新型大气污染控制方法。本文主要围绕扩散模式的选择、静风时的扩散计算、扩散参数的选择、软件的实现四个方面展开讨论,分析了多源模拟系统以及遗传算法有效结合与其在大气污染总量控制上的应用价值,可在系统的作用下,实现对大气污染的控制。The genetic algorithm of total air pollution control refers to the use of the genetic algorithm’s own search optimization function to simulate the natural evolution mechanism to solve the total allowable emissions within the global optimization area. It is a new type of air pollution control method. This dissertation mainly discusses the selection of diffusion mode, diffusion calculation in the static wind, selection of diffusion parameters, and software implementation. It discusses in detail the effective combination of multi-source simulation system and genetic algorithm and its control over the total amount of atmospheric pollution. The application value can realize the control of air pollution under the action of the system.

关 键 词：遗传算法 多源模式 大气污染总量控制 

分 类 号：X11[环境科学与工程—环境科学]