摘要
本文利用重庆万盛地区2018年12月份空气质量监测数据及气象数据,首次研究了万盛地区PM2.5浓度与其他5项污染物、相关气象因素的关系。研究表明,PM2.5质量浓度和PM10质量浓度变化规律相似,与NO2、CO污染因子显著正相关,与SO2、O3(8h)污染因子相关性不明显;PM2.5质量浓度受能见度、相对湿度、风速和风向等气象因素影响较大。研究首次建立了万盛地区PM2.5预测模型,能较准确反映该地区PM2.5的污染特征,为开展该地区PM2.5污染预警预报提供了思路并奠定了基础。
Based on the air quality monitoring data and meteorological data of December 2018 in Chongqing Wansheng,the paper first analysis the relationship between PM2.5 concentration and other five pollutants of Wansheng,the paper first analysis the relationship between PM2.5 concentration and meteorological factors of Wansheng.The results show that PM2.5 concentration has a significant positive correlation with NO2 and CO,but not obvious with SO2 and O3(8h);PM2.5 is greatly affected by visibility,relative humidity,wind speed and wind direction meteorological factors.The PM2.5 prediction model of Wansheng is established for the first time,the model can accurately reflect the pollution characteristics of PM2.5 in Wansheng,and provide ideas and foundation for carrying out PM2.5 pollution early warning and prediction in Wansheng.
作者
翁文江
池洪敏
高雪
李萍
罗宗秀
Weng Wenjiang;Chi Hongmin;Gao Xue;Li Ping;Luo Zongxiu(Chongqing Wansheng District Ecological Environment Monitoring Station,Chongqing 400800,China;Chongqing Wansheng District Meteorological Service,Chongqing 400800,China;College of Environment and Resources,Chongqing Technology and Business University,Chongqing 400067,China;Guanba Town of Qijiang District’s Agricultural Service Center,Chongqing 400800,China)
出处
《环境与发展》
2020年第9期182-183,共2页
Environment & Development
