Czech Hydrometeorological Institute, Na Šabatce 2050/17, 143 06, Prague 4-Komořany, Czech Republic.
Air Quality Department, Košetice Observatory, Czech Hydrometeorological Institute, 39422, Košetice, Czech Republic.
Environ Sci Pollut Res Int. 2021 Mar;28(11):13352-13364. doi: 10.1007/s11356-020-11424-5. Epub 2020 Nov 12.
Highly time-resolved particle number size distributions (PNSDs) were evaluated during 5 years (2013-2017) at four background stations in the Czech Republic located in different types of environments-urban background (Ústí nad Labem), industrial background (Lom), agricultural background (National Atmospheric Observatory Košetice), and suburban background (Prague-Suchdol). The PNSD data was used for new particle formation event determination as well as growth rate (GR) and condensation sink (CS) calculations. The differences or similarities of these parameters were evaluated from perspectives of the different pollution load, meteorological condition, and regional or long-range transport. The median growth rate (4 nm h) is very similar at all stations, and the most frequent length of growth lasted between 2 and 4 h. Condensation sink reflects the pollution load at the individual station and their connection to the environment type. The highest median, CS = 1.34 × 10 s, was recorded at the urban station (Ústí nad Labem), and the lowest (CS = 0.85 × 10 s) was recorded at the agricultural station (National Atmospheric Observatory Košetice). Conditional probability function polar plots illustrate the influence of source location to GR. These primary potential emission sources involve traffic, operation of a power plant, and domestic heating.
在 5 年(2013-2017 年)期间,在捷克共和国的四个背景站评估了高度时间分辨的粒子数浓度粒径分布(PNSD),这些背景站位于不同类型的环境中——城市背景(厄斯特里茨河畔拉贝河畔乌斯季)、工业背景(洛姆)、农业背景(国家大气观测站科舍蒂采)和郊区背景(布拉格-苏希多尔)。PNSD 数据用于新粒子形成事件的确定以及生长率(GR)和凝结汇(CS)的计算。从不同的污染负荷、气象条件以及区域或远程传输的角度评估了这些参数的差异或相似性。所有站点的中位生长率(4nmh)非常相似,生长的最常见持续时间在 2 到 4 小时之间。凝结汇反映了各个站点的污染负荷及其与环境类型的关系。在城市站(厄斯特里茨河畔拉贝河畔乌斯季)记录到的中位值最高(CS=1.34×10s),在农业站(国家大气观测站科舍蒂采)记录到的最低(CS=0.85×10s)。条件概率函数极图说明了源位置对 GR 的影响。这些主要潜在排放源涉及交通、发电厂运行和家庭供暖。