城市空气监测数据与空气污染指数的相关性分析

目的评价空气污染指数(API)用于空气污染健康效应研究时与实际空气污染的符合程度。方法在广州(中山大学广州北校区内)和珠海(中山大学珠海校区内)两个监测点,用仪器连续监测获得两地空气实测数据(SO2,NO2,PM10),并用实际监测数据与当地公布的对应时间的API进行相关分析。结果实际监测数据显示两个监测点NO2、SO2及PM10的平均浓度,广州监测点分别为0.11 mg/m30、.37 mg/m30、.11 mg/m3;珠海监测点则分别为0.06 mg/m3、0.04 mg/m3和0.02 mg/m3。两个监测点的实测数据与当地API均有类似的变化趋势。将两个监测点实测数据换算为API并与当日的API数据进行相关分析,除在广州监测点NO2的实测数据与公布的API相关(r=0.91,P<0.05)以外,其余指标均未见有统计学意义的相关。结论两个监测点的空气污染实测数据与当地公布API在趋势上是相似的,但两种监测方法在数据上的相关性(一致性)不强。API应用于描述人群空气污染暴露程度时应辅以区域的实际监测数据。

Relationship between city air quality monitoring data and API

Objective To understand relationship between city air quality monitoring data and API.Methods Air quality data of SO_2,NO_2,PM_(10) were determinated in North campus Guangzhou and Zhuhai campus of Zhongshan university.The API of same areas came from public network.Results The real-time monitoring data of NO_2,SO_2,PM_(10) were 0.11 mg/m~3,0.37 mg/m~3,and 0.11 mg/m~3 in Guangzhou and 0.06 mg/m~3,0.04 mg/m~3 and 0.02 mg/m~3 in Zhuhai.Local API and related real-time monitoring data had the same trend.Conclusion Although API and real-time dada had same trend,using API to evaluate air pollution level should consider the local real-time dada.