摘要
评估了NAQPMS模式预报的合肥、蚌埠和芜湖2017年3月1日—2018年2月28日PM_(2.5)、PM_(10)和O_3地面浓度及预报准确率,发现模式对物种的预报能力依次为:O_3> PM_(2.5)>PM10;对城市的预报能力依次为:合肥>芜湖>蚌埠。模式对PM_(2.5)和PM_(10)的预报能力在春季较弱,对O_3的预报全年均较强。整体而言,评估地区的空气质量以优良为主,等级准确率在秋季最高,冬季最低,年均值为69%;首要污染物以PM_(2.5)、O_3、PM_(10)和NO_2为主,其准确率在冬季最高,春季最低,年均值为62%。
The surface concentrations and forecast accuracy of PM2.5, PM10 and O3 in Hefei,Bengbu and Wuhu were evaluated in NAQPMS forecast model from March 1, 2017 to February 28,2018. The prediction ability of NAQPMS model for single pollutants is O3〉PM2.5〉PM10, and for cityit is： Hefei〉Wuhu〉Bengbu. The prediction ability of NAQPMS model for PM2.5 and PM10 is weakestover spring, but for O3 is strong all over the year. The air quality in the assessment area is mainlyexcellent, with the highest grade accuracy rate in autumn and the lowest in winter, with an annual average of 69%. The primary pollutants are PM2.5, O3, PM10, and NO2. Their accuracy is highest inwinter and lowest in spring, with an annual average of 62%.
作者
季冕
尚晶晶
张稳定
Ji Mian;Shang Jingjing;Zhang Wending(Environmental Monitoring Central Station of Anhui Province,Hefei Anhui 230071,China;State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry,Institute ofAtmospheric Physics,Chinese Academy of Sciences,Beijing 100029,China;3 Clear Technology Co.Ltd,Beijing 100029,China)
出处
《中国环境管理干部学院学报》
CAS
2018年第5期62-66,74,共6页
Journal of Environmental Management College of China
基金
安徽省2017年公益性技术应用研究联动计划<安徽省重污染天气预报预警及污染成因动态解析关键技术研究>(1704f0804056)
安徽省省级环境保护科研项目<安徽省重点区域大气污染气象成因研究>(2016-04)
关键词
空气质量模式
模式评估
安徽
air quality model
effect evaluation
Anhui
