摘要
本文通过对南京市区29个采样点的采样和分析(市区14个点代表一般城市的环境状况、大厂区15个点代表重污染区的环境状况),确认法桐和女贞两种树木叶片含S量与大气中SO_2浓度密切相关。在一般污染状况下,线性回归方程即可很好地用于测算大气SO_2浓度,并评价污染等级;但在较重污染和严重污染的情况下,指数回归方程可以很好地测算大气SO_2浓度,并评价污染等级。
Plane tree (Platanus orientalis) and glossy priver were chosen to monitor SO2 pollution in 29 sites selected from 14 locations in general air polluted areas and 15 locations in heavy industrial polluted areas in Nanjing city. The leaves of the plants and air samples in the sites were collected and analyzed for sulfur. Analytical results show that sulfur contents in the leaves of plants were closely related to SO2 concentrations in the air. It is concluded that under general air pollution, linear regression function can be used to properly estimate SO2 concentrations in the air and to assess air pollution level. However under conditions of serious or very serious air pollution, exponential regression function can be used in the proper estimation of SO2 concentrations in the air and assessment of air pollution level.
出处
《环境科学》
EI
CAS
CSSCI
CSCD
北大核心
1992年第1期71-74,共4页
Environmental Science
基金
国家环保局三项经费课题
关键词
植物叶片
大气
SO2
污染
质量评价
SO2 pollution, air pollution, sulp-hur content in plants, assessment of air pollution,plant indicator.
