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Published： 07 October 2022 ，
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赵青琳，曾巧林，罗彬，许丽萍，范萌，陈良富，罗小波.2022.基于垂直订正和湿度订正方法估算川渝地区逐小时PM2.5.遥感学报，26（10）： 1946-1962
Zhao Q L，Zeng Q L，Luo B，Xu L P，Fan M，Chen L F and Luo X B. 2022. Estimation of hourly PM2.5 concentration by using vertical and humidity correction methods in Sichuan-Chongqing. National Remote Sensing Bulletin， 26（10）：1946-1962
针对PM
2.5
污染比较严重的川渝地区，本研究利用日本静止葵花卫星（Himawari-8）反演的气溶胶光学厚度（AOD）进行垂直订正和湿度订正估算川渝地区2017年—2018年09：00—16：00时的PM
2.5
浓度。首先，基于气象观测的能见度（
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3.21733332
2.28600001
）数据与消光系数
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7.78933382
3.89466691
之间的关系，引入“标高（
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3.21733332
3.21733332
）”对气溶胶光学厚度进行垂直订正；其次，根据匹配的气象和环境监测数据对每一个站点逐一拟合1—12月份的吸湿增长因子，并采用反距离加权空间插值（IDW）方法构建吸湿订正因子网格，从而进行湿度订正估算。研究结果表明，经垂直订正和湿度订正后，相比AOD与PM
2.5
之间的相关性，“干”消光系数
<math id="M4"><msub><mrow><mi>σ</mi></mrow><mrow><mi mathvariant="normal">d</mi><mi mathvariant="normal">r</mi><mi mathvariant="normal">y</mi></mrow></msub></math>
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4.48733330
3.21733332
与PM
2.5
的相关性显著提高，相关系数（
r
）由0.12—0.45提高至0.32—0.69；验证09：00至16：00时卫星估算结果，相关系数（
r
）均大于0.7，均方根误差（RMSE）为18.59±2.26 μg/m
3
；提取所有观测站点进行验证，
r
=0.82，RMSE=18.64 μg/m
3
。
Together with the sustained and rapid development of China’s economy in the past few years
the continuous improvement of the national economy
and the trend of urbanization
is the unceasing decline of China’s air quality. As a result
frequent occurrence of haze pollution weather has seriously affected people’s health. As the main pollutant of haze
PM
2.5
has become a major concern of all people. Studies have shown that people exposed to PM
2.5
for a long time are likely to suffer from respiratory and cardiovascular diseases
and even die prematurely. Therefore
it is of particular importance to monitor and evaluate PM
2.5
effectively and accurately. According to the requirements of national development
Sichuan Province and Chongqing City (hereinafter referred to as Sichuan and Chongqing Area) will work together to build a two-city economic circle in Chengdu-Chongqing Area. Therefore
it is urgent to study and evaluate the regional atmospheric environmental air quality. However
due to the unique topography and meteorological conditions in Sichuan and Chongqing
estimating the near-surface PM
2.5
concentration by using satellite remote sensing method is difficult. Considering the complicated topography in Sichuan and Chongqing Area
“Elevation (
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3.55599999
3.04800010
)” was introduced for vertical correction of regional Aerosol Optical Depth. Moreover
considering the large difference of humidity and pollutant emission in different months
the hygroscopic correction factor grid was constructed for humidity correction by fitting the hygroscopic growth factor month by month and site by site. Therefore
first
the retrieval accuracy of AOD of Japanese geostationary Himawari satellite (Himawari-8) was verified in this study. Second
the vertical correction and humidity correction methods were used to estimate the hourly near-surface PM
2.5
concentration from 09:00 to 16:00 in 2017—2018 in the Sichuan-Chongqing Area
and the accuracy was verified. The area PM
2.5
concentration is helpful for the detailed analysis of pollutant generation
migration and dissipation hour by hour
which provides effective data support for regional pollution prevention and control. We arrive at the following conclusions: (1) Owing to the large differences in the hygroscopic growth characteristics of aerosol particles in different regions and time ranges
the four stations
namely
Ziyuan Station in Chengdu City
Rongxian Administrative Center Station in Zigong City
Shangqing Temple Station in Chongqing City
and Jingtan 2nd Road Station in Chongqing City
are selected to analyze the temporal and spatial differences in aerosol hygroscopic growth characteristics. Results show that the aerosol hygroscopic growth capacity of different sites in the same month is different. The aerosol hygroscopic growth capacity of the same site in different months is also different
and the relative humidity of different sites at different times changes greatly. Therefore
the hygroscopic correction factor grid constructed must be used by fitting the hygroscopic growth factor month by month and site by site during the humidity correction to estimate PM
2.5
. (2) Compared with PM
2.5
and AOD
the correlation coefficient between PM
2.5
and
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3.97933316
3.04800010
has significantly improved after vertical correction and humidity correction; it increased from 0.12—0.45 to 0.32—0.69. The correlation coefficient between the satellite estimated value and ground-based observation value is relatively high (
r
=0.82)
and the RMSE is 18.64 μg/m
3
which is a good estimation result. A comparison of the hourly and monthly scales shows that the estimation results from the afternoon are better than that from the morning
and that from autumn and winter are better than that from spring and summer. (3) According to the annual average spatial distribution of PM
2.5
in 2017 and 2018
the concentration of PM
2.5
in Sichuan and Chongqing Area is the highest in winter
lowest in summer
followed by that in spring and autumn. The vertical correction and humidity correction methods are used to estimate PM
2.5
mass concentration in Sichuan and Chongqing Area in 2017 and 2018
with high accuracy and good estimation results. However
the topography and aerosol components are not considered in the estimation process. Therefore
the experimental results still needs to be improved.
AODPM2.5垂直订正湿度订正川渝地区
AODPM2.5vertical correctionhumidity correctionSichuan-Chongqing
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