宋潇, 张秋根, 夏安桃, 王琦. 萍乡市空气质量时空动态监测及改善路径分析[J]. 南昌航空大学学报(自然科学版), 2018, 32(2): 99-104. DOI: 10.3969/j.issn.1001-4926.2018.02.015
引用本文: 宋潇, 张秋根, 夏安桃, 王琦. 萍乡市空气质量时空动态监测及改善路径分析[J]. 南昌航空大学学报(自然科学版), 2018, 32(2): 99-104. DOI: 10.3969/j.issn.1001-4926.2018.02.015
SONG Xiao, ZHANG Qiu-gen, XIA An-tao, WANG Qi. Temporal-Spatial Dynamic Monitoring and Improvement Path Analysis of Air Quality in Pingxiang City[J]. Journal of nanchang hangkong university(Natural science edition), 2018, 32(2): 99-104. DOI: 10.3969/j.issn.1001-4926.2018.02.015
Citation: SONG Xiao, ZHANG Qiu-gen, XIA An-tao, WANG Qi. Temporal-Spatial Dynamic Monitoring and Improvement Path Analysis of Air Quality in Pingxiang City[J]. Journal of nanchang hangkong university(Natural science edition), 2018, 32(2): 99-104. DOI: 10.3969/j.issn.1001-4926.2018.02.015

萍乡市空气质量时空动态监测及改善路径分析

Temporal-Spatial Dynamic Monitoring and Improvement Path Analysis of Air Quality in Pingxiang City

  • 摘要: 根据萍乡市环境空气自动监测站点 2011~2016 年的长期连续数据,按环境空气质量标准中的二级标准,利用综合污染指数、AQI指数分析了环境空气质量时空动态变化规律及其影响因素。分析结果表明:年际上,SO2、NO2浓度先增后降,PM10在2015年增速明显,CO和PM2.5无明显波动,O3浓度呈明显上升趋势;年内变化,SO2、NO2、PM10、CO和PM2.5浓度均表现为一、四季度高,二、三季度低,呈U形分布。O3浓度与之相反;空间变化显示,SO2、PM2.5、O3浓度存在一定的空间差异性,NO2、PM10、CO无显著空间差异。萍乡空气环境综合污染指数呈下降趋势,说明空气质量逐渐改善,但是空气颗粒物和臭氧污染问题显现,在此基础上,提出了环境空气质量的改善路径。

     

    Abstract: Based on the continuous data from air automatic monitoring sites in Pingxiang City from 2011 to 2016, according to the second level in the Ambient Air Quality Standards (GB3095—2012),the temporal-spatial dynamic changes and influential factors of ambient air quality were analyzed by using the comprehensive pollution index and AQI index. The results showed that the concentration of SO2 and NO2 increased first and then decreased, the growth of PM10 was obvious in 2015,with no obvious fluctuation of CO and PM2.5, while the concentration of O3 showed a significant upward trend. During a year, the concentrations of SO2, NO2, PM10, CO and PM2.5 were all high in the first and fourth quarters, and low in the second and third quarters, showing a U-shaped distribution. However, the concentration of O3 is the opposite. Spatial variation showed that there were some spatial differences in the concentrations of SO2, PM2.5 and O3, and no significant difference in the concentrations of NO2, PM10 and CO. The comprehensive ambient air pollution index of Pingxiang City appeared in a downtrend, and the air quality improved gradually. However, air particulates and ozone pollution problems appeared. On the basis of the above study, improvement methods for ambient air quality were put forward.

     

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