首页 | 官方网站   微博 | 高级检索  
     

沈阳市可吸入尘(IP)与其它因素的相关分析
引用本文:秦怡,戴伟,李长祯,殷勤,张青新,孙涛,赵锦琪,徐希平. 沈阳市可吸入尘(IP)与其它因素的相关分析[J]. 中国公共卫生学报, 1999, 0(2)
作者姓名:秦怡  戴伟  李长祯  殷勤  张青新  孙涛  赵锦琪  徐希平
作者单位:辽宁省卫生防疫站,辽宁省环境监测中心,辽宁省环境保护研究所,哈佛大学公共卫生学院
摘    要:为了探讨北方城市IP(可吸入尘)和TSP(总悬浮颗粒)之间的关系,在沈阳市内3个能代表不同大气污染水平的地区,定点同时连续测定TSP、IP和SO2共90天。分别在春秋两季。同时收集当天气象资料(气温、气湿、风速、风向)。相关、回归和主因素分析结果表明,IP与TSP虽呈非常显著相关,但其比例受季节、风速的影响很大。春天季风使TSP中含扬尘比例很大,IP显示为一个更稳定的指标。SO2与气温呈非常显著负相关,说明它是煤烟污染的主要代表。主因素分析显示沈阳大气污染有3个主要来源。首位是煤烟。分析得出IP与TSP关系的2个回归方程,分别代表春秋两季

关 键 词:总悬浮尘  可吸入尘  气象  风速  相关  主要因素分析

Correlation Between Respirable Particulate(IP)and Other Factors in Ambient Air of Shenyang
Qin Yi,et al.. Correlation Between Respirable Particulate(IP)and Other Factors in Ambient Air of Shenyang[J]. , 1999, 0(2)
Authors:Qin Yi  et al.
Affiliation:Shengyang 110005
Abstract:In order to get relationship between TSP and IP,We set three sampling sites representing three levels of ambient air pollution in Shenyang,monitoring for TSP,IPand SO 2 continuously for 90 days during Spring (April and May) and Autumn(September to November)in 1996.Meteorological data were concurrently colected.Correlation,regression,and master factors analyses showed that TSP and IP have highly significant relationship,their ratio were changed greatly based on wind speed in different seasons.Large seasonal wind in Spring blew up much more natural dust (with large diameter)in TSP so that proportion of IP/TSP was smaller.IP is a more stable and better index for particles then TSP does.SO 2 was highly significantly correlated coal burning for heating.Principal component analysis showed that there were three main sources of air pollution in Shenyang,and the domestic coal burning for heating was the first principal evil.We got two regression models for estimating IP from TSP in different seasons.
Keywords:TSP IP Meteorology Wind speed Correlation Factor analysis
本文献已被 CNKI 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号