Spatio-temporal Variations in NO2 and PM2.5 over the Central Plains Economic Region of China during 2005-2015 Based on Satellite Observations
Spatio-temporal Variations in NO2 and PM2.5 over the Central Plains Economic Region of China during 2005-2015 Based on Satellite Observations
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2005-2015年中国中原经济区NO2和PM2.5时空变化基于卫星观测
DOI：
10.4209/aaqr.2017.10.0394
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发表时间：
2018
影响因子：
4
通讯作者：
Zheng Fengbin
中科院分区：
文献类型：
--
作者：
Cai Kun;Li Shenshen;Zheng Fengbin
中原经济区位于中国的中东部，在过去的十年里经历了巨大的经济增长。与中国的许多地区一样，CPER的快速经济发展也带来了严重的空气污染问题，包括极高浓度的二氧化氮(NO2)和空气动力学直径小于2.5µm的颗粒物(PM2.5)。然而，目前的大气污染监测系统缺乏良好的时空覆盖。因此，我们利用高分辨率卫星遥感技术分析了2005-2015年间CPER中NO2和PM2.5的变化。臭氧监测仪(OMI)和中分辨率成像光谱仪(MODIS)分别用于反演对流层NO2柱和地面PM2.5的浓度。NO2和PM2.5的高浓度主要位于CPER的中部和北部地区。11年平均浓度最高的是焦作市(19.54亿分子厘米-2)和鹤壁市(107.8微克m-3)。西部和南部山区的NO2和PM2.5浓度较低。季节平均NO2浓度和PM2.5浓度冬季最高，夏季最低。2013年1月，二氧化氮和PM2.5a的月平均浓度分别高达24.60亿分子cm-2和152.2微克m-3,2006年7月分别低至43.86万分子cm-2和40.2ug m-3。在11年的研究期内(2005-2015年)，2011年至2015年期间，NO2和PM2.5的CPER浓度分别下降了31.5%和36.8%。本次研究成功应用卫星遥感数据，对对流层NO2和地面PM2.5的时空分布进行了定量分析。这种方法可以支持CPER的空气污染监测，估计的浓度可以为环境政策制定提供参考。
The Central Plains Economic Region (CPER) is located in central eastern China and has experienced tremendous economic growth in the last decade. Like many areas in China, the rapid economic development of the CPER has led to serious air pollution problems, including extremely high concentrations of nitrogen dioxide (NO2) and particulate matter with an aerodynamic diameter less than 2.5 µm (PM2.5). However, the current air pollution monitoring system lacks good spatial and temporal coverage. Therefore, we used high-resolution satellite remote sensing techniques to analyze the variation in NO2 and PM2.5 in the CPER from 2005 through 2015. The Ozone Monitoring Instrument (OMI) and the Moderate Resolution Imaging Spectroradiometer (MODIS) were used to retrieve the tropospheric NO2 columns and ground-level PM2.5 concentrations, respectively. High NO2 and PM2.5 concentrations were mainly located in the central and northern areas of the CPER. The highest 11-year average concentrations were found in the city of Jiaozuo for NO2 (19.54 × 1015 molecules cm–2) and in the city of Hebi for PM2.5 (107.8 µg m–3). The western and southern mountainous areas had lower NO2 and PM2.5 concentrations. The average seasonal NO2 and PM2.5 concentrations were both highest in winter and lowest in summer. The average monthly concentrations of NO2 and PM2.5 were as high as 24.60 × 1015 molecules cm–2 and 152.2 µg m–3, respectively, in January 2013 and as low as 43.86 × 1015 molecules cm–2 and 40.2 µg m–3, respectively, in July 2006. During the 11-year study period (2005–2015), the CPER concentrations of both NO2 and PM2.5 decreased from 2011 to 2015 by 31.5% and 36.8%, respectively. This study successfully applies satellite remote sensing data to quantitatively analyze the spatial-temporal distributions of tropospheric NO2 and ground-level PM2.5. This approach can support air pollution monitoring in the CPER, and the estimated concentrations can provide references for environmental policymaking.
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影响因子：
5.2
作者：
Yuxuan Wang;M. McElroy;K. F. Boersma;H. Eskes;J. Veefkind
通讯作者：
Yuxuan Wang;M. McElroy;K. F. Boersma;H. Eskes;J. Veefkind
影响因子：
10.4
作者：
van Donkelaar A;Martin RV;Brauer M;Kahn R;Levy R;Verduzco C;Villeneuve PJ
通讯作者：
Villeneuve PJ
影响因子：
4.6
作者：
de Foy B;Lu Z;Streets DG
通讯作者：
Streets DG
DOI：
--
发表时间：
2013
期刊：
--
影响因子：
--
作者：
Xiang-chao Liu;Kelley Donalds
通讯作者：
Xiang-chao Liu;Kelley Donalds
DOI：
10.1080/10473289.2004.10471012
发表时间：
2004-12
影响因子：
2.7
作者：
Yang Zhang;B. Pun;Shiang-Yuh Wu;K. Vijayaraghavan;C. Seigneur
通讯作者：
Yang Zhang;B. Pun;Shiang-Yuh Wu;K. Vijayaraghavan;C. Seigneur