基于随机优化方法的大气污染物总量控制模型  

Stochastic optimum model for total air pollutant emission control.

作　　者：马小明[1] 曹云[1] 张帆[1] 

机构地区：[1]北京大学环境科学中心,北京100871

出　　处：《中国环境科学》2001年第5期436-439,共4页China Environmental Science

摘　　要：提出了基于随机优化方法的总量控制模型.该模型引入随机变量描述影响环境容量的气象条件,对环境质量目标值的约束做了重要的改进,并利用随机模拟和遗传算法求解,使模型具有较强的合理性和可操作性.采用该模型对云南省玉溪市红塔区大气污染物总量进行了实验性计算,取得了较好的效果.Based on the summarized review of the results of total air pollutant emission control studies, a stochastic optimum method for the total control model was suggested. The model introduced stochastic variable to describe meteorological conditions influencing environmental capacity; made significant modifications of restriction for object value of environmental quality; and sought solution with stochastic simulation and genetic algorithm, so that the model possessed stronger rationality and operation ability. The model was applied to calculate experimentally the total air pollutant emission for Hongta District, Yuxi City of Yunan Province.

关 键 词：大气污染 总量控制 最优化模型 随机模拟 遗传算法 

分 类 号：X327[环境科学与工程—环境工程] X51