摘要
在广州员村工业区主风方向和次主风方向各设置10个采样点,对影响该区大气质量的SO2、NO2和烟尘排放量进行测定,并进行为期四个月的监测.同时,对该区的大气污染状况进行调查,对近6a来的环境资料进行收集.采用灰色系统理论,对各种数据进行关联度矩阵分析,寻找对环境质量影响最大的因子.并研究各污染物的空间分布规律,建立动态模型.
Twenty sampling points have been set in the dominant and subdominant wind directions in Yuancun industrial Quarter,Guangzhou City,in order to determine the contents of SO,,NO, and dustfall influencing the atmospheric quality. A 4-month monitoring observation has been made,and in the meanwhile, 6 years' environment monitoring data have been collected from Tianhe Environmental Protection Station of Guangzhou City. By using the grey system theory,correlation matrix analysis of these data has been conducted to find out the maximum factor affecting the environment quality. The spatial distribution dynamic models of 3 atmosphere pollutants have been established. This study provides a theoretical guide to selecting the proper place to afforest an anti-pollution and purification zone.
出处
《中南林学院学报》
CSCD
1997年第3期27-34,共8页
Journal of Central South Forestry University
基金
国家教委留学回国人员科研资助
关键词
SO2
NO2
降尘
空间分布
SO_2
NO_2
dustfall
spatial distribution
industrial quarter