TY - JOUR
T1 - Spatio-temporal variations in NO2 and PM2.5 over the central plains economic region of china during 2005-2015 based on satellite observations
AU - Cai, Kun
AU - Li, Shenshen
AU - Zheng, Fengbin
AU - Yu, Chao
AU - Zhang, Xueying
AU - Liu, Yang
AU - Li, Yujing
N1 - Publisher Copyright:
© Taiwan Association for Aerosol Research.
PY - 2018/5
Y1 - 2018/5
N2 - 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.
AB - 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.
KW - CPER
KW - MODIS
KW - NO
KW - OMI
KW - PM
UR - http://www.scopus.com/inward/record.url?scp=85046763813&partnerID=8YFLogxK
U2 - 10.4209/aaqr.2017.10.0394
DO - 10.4209/aaqr.2017.10.0394
M3 - Article
AN - SCOPUS:85046763813
SN - 1680-8584
VL - 18
SP - 1221
EP - 1235
JO - Aerosol and Air Quality Research
JF - Aerosol and Air Quality Research
IS - 5
ER -