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Analysis of Pollution Characteristics and Influencing Factors of Main Pollutants in the Atmosphere of Shenyang City
Atmosphere ( IF 2.9 ) Pub Date : 2020-07-20 , DOI: 10.3390/atmos11070766
Jiaqi Tian , Chunsheng Fang , Jiaxin Qiu , Ju Wang

Air pollution is one of the most concerning environmental problems in cities. Hourly data on pollutant concentrations from 11 automatic atmospheric monitoring stations and meteorological data in Shenyang from 2017 to 2019 were used to analyze the spatio-temporal variation rules of CO (carbon monoxide), SO2 (sulfur dioxide), NO2 (nitrogen dioxide), O3 (ozone), PM2.5 and PM10 (PM particles with an aerodynamic diameters of not more than 2.5 µm and 10 µm) and their relationships with meteorological parameters. Meanwhile, the regional transmission route of pollutants was analyzed by the hybrid single particle Lagrangian integrated trajectory (HYSPLIT) model. The results showed that the concentration of O3 in the northern area of the city was higher than that in the south; CO, SO2 and NO2 were relatively high in the urban center; and PM2.5 and PM10 were relatively high in the southwest. The average concentration of pollutants was lowest in 2019. The concentration of O3 was the highest in spring, while CO showed no significant variations between different seasons. The remaining pollutant concentrations appeared to be high in winter and low in summer. The cumulative concentrations of the six pollutants were the highest in March, and relatively low in July–September. The diurnal concentration variations of O3, CO and SO2 exhibited a “single peak,” while others showed a “double peak and double valley.” Temperature was positively correlated with O3 concentration and negatively correlated with others. Wind speed was negatively correlated with the concentration of PM2.5, NO2, and O3. The air quality of the main urban area in spring and summer was mainly affected by the coastal air flow, while it was mostly affected by the northwest air flow in autumn and winter.

中文翻译:

沉阳市大气主要污染物污染特征及影响因素分析

空气污染是城市中最令人关注的环境问题之一。利用沉阳市11个自动大气监测站2017年至2019年的每小时污染物浓度数据和气象数据,分析CO(一氧化碳),SO 2(二氧化硫),NO 2(二氧化氮)的时空变化规律。,O 3(臭氧),PM 2.5和PM 10(空气动力学直径不超过2.5 µm和10 µm的PM颗粒)及其与气象参数的关系。同时,利用混合单粒子拉格朗日综合轨迹(HYSPLIT)模型分析了污染物的区域传播路径。结果表明,O的浓度城市北部地区的3高于南部地区。市中心的CO,SO 2和NO 2相对较高;西南地区的PM 2.5和PM 10相对较高。污染物的平均浓度在2019年最低。春季的O 3浓度最高,而CO在不同季节之间没有显着变化。其余的污染物浓度似乎在冬季较高,而在夏季较低。六种污染物的累积浓度在三月最高,而在七月至九月相对较低。O 3,CO和SO 2的日浓度变化呈现“单峰”,而其他呈现“双峰双谷”。温度与O 3浓度呈正相关,与其他温度呈负相关。风速与PM 2.5,NO 2和O 3的浓度呈负相关。春季和夏季主城区的空气质量主要受沿海空气流量的影响,而秋季和冬季则主要受西北空气流量的影响。
更新日期:2020-07-20
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