摘要
采用单项指标分析法和属性识别模型对2014-2019年苏州市区环境空气进行了污染物变化特征分析和综合质量评价分析。结果表明,PM25>NO2,O3是当前苏州市区环境空气污染的主要污染物,也是污染控制的重点,其中O3是污染控制的难点。自2014年以来,苏州市区对除O3之外的其他空气污染物的控制取得了一定成效,但各年度环境空气质量综合评价等级均为不达标,有待于大力发展智慧生态城市,以有效解决环境污染问题,实现城市的可持续发展。
Based on the single index analysis method and attribute recognition model,the characteristics of air pollutants in Suzhou urban area from 2014 to 2019 were analyzed,and the comprehensive quality assessment and analysis of ambient air quality was carried out.The results show that PM25,NO2 and O3 were the main pollutants of air pollution in Suzhou City,and were also the focus of pollution control,among which O3 was the difficulty of pollution control.Since 2014,the control of other air pollutants except O3 in Suzhou City had achieved certain results,but the comprehensive evaluation results of ambient air quality in each year was not up to the standard.Therefore,it was necessary to vigorously develop smart ecological city to effectively solve the environmental pollution problem and realize the sustainable development of the city.
作者
胡起靖
Hu Qijing(Suzhou Library,Suzhou Jiangsu 215002,China)
出处
《河北环境工程学院学报》
CAS
2021年第1期65-68,共4页
Journal of Hebei University of Environmental Engineering
关键词
空气质量评价
变化特征
属性识别模型
智慧生态城市
air quality assessment
change characteristics
attribute recognition model
smart ecological city
