Air pollutant emission characteristics and HYSPLIT model analysis during heating period in Shenyang, China
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Air pollutant emission characteristics and HYSPLIT model analysis during heating period in Shenyang, China Yunfeng Ma & Maibo Wang & Shuai Wang & Yue Wang & Lei Feng & Kaiyu Wu
Received: 20 March 2020 / Accepted: 18 November 2020 # Springer Nature Switzerland AG 2020
Abstract To find out the characteristics and sources of atmospheric pollutants during heating period in Shenyang, the study investigated the temporal and spatial distribution of pollutants, using data of six typical atmospheric pollutants (SO2, NO2, PM10, PM2.5, O3, and CO) from November 2017 to March 2018 in 11 monitoring stations in Shenyang. These features were combined with the HYSPLIT model for backward trajectory simulation of heavily polluted weather. PM10 and PM2.5 are the main pollutants during heating period in Shenyang, with average concentrations of 90.26 μg/m3 and 56.92 μg/m3, respectively. The concentrations of various types of contaminants at the Taiyuan Street station were relatively high. PM10 and PM2.5 were relatively high in the southwestern area of Shenyang, gradually decreasing to the northeast. Only one heavy pollution event occurred during heating period in 2018. The results of the backward trajectory analysis of this heavy pollution event Y. Ma (*) : M. Wang : L. Feng Shenyang Aerospace University, Shenyang 110136, China e-mail: [email protected] M. Wang : Y. Wang Chinese Research Academy of Environmental Sciences, Beijing 100012, China S. Wang Shenyang Environmental Monitoring Center, Shenyang 110000, China K. Wu Shenyang Neusoft System Integration Technology Co., Ltd., Shenyang 110179, China
using HYSPLIT show that air masses from inland areas such as the southwest and northwest brought some particulate matter and atmospheric pollutants, which exacerbated Shenyang Air pollution in the city. Keywords Heating period . Northeast China . Spatial distribution . Backward trajectory
Introduction With the development of social economy and the improvement of people’s life quality, people pay more and more attention to atmospheric environmental pollution and its impacts. Sulfur dioxide (SO2) and nitrogen dioxide (NO2), which are common atmospheric pollutants, not only influence human health directly (Bai et al. 2007; Li et al. 2010; Kang et al. 2010; Song et al. 2017; Schraufnagel et al. 2014) but are also shape to the formation of atmospheric particulate matter (PM) (e.g., PM10 and PM 2.5) in both direct or indirect ways (Shaddick and Wakefield 2002; Xie et al. 2015). To date, the most comprehensive observation analysis of atmospheric particle pollutants in China were conducted in highly populated areas, such as Beijing–Tianjin–Hebei (Li et al. 2007; Miao et al. 2018; Wang et al. 2016; Wang et al. 2011), the Yangtze River Delta (Liu et al. 2015; Lu et al. 2018; Song et al. 2015), and the Pearl River Delta (Lin et al. 2017; Tong et al. 2018; Yue et al. 2015). Such research is lacking in Northeast China, where the concentration of atmospheric particle pollutants emitted during heating period is significantly higher
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