基于垂直订正和湿度订正方法估算川渝地区逐小时PM<sub>2.5</sub>

赵青琳; 曾巧林; 罗彬; 许丽萍; 范萌; 陈良富; 罗小波

doi:10.11834/jrs.20220232

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基于垂直订正和湿度订正方法估算川渝地区逐小时PM_2.5
Estimation of hourly PM_2.5 concentration by using vertical and humidity correction methods in Sichuan-Chongqing
2022年26卷第10期页码：1946-1962
收稿：2020-06-28，

纸质出版：2022-10-07
DOI： 10.11834/jrs.20220232
稿件说明：

移动端阅览

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PM_2.5.遥感学报，26（10）： 1946-1962 DOI： 10.11834/jrs.20220232.

Zhao Q L，Zeng Q L，Luo B，Xu L P，Fan M，Chen L F and Luo X B. 2022. Estimation of hourly PM_2.5 concentration by using vertical and humidity correction methods in Sichuan-Chongqing. National Remote Sensing Bulletin， 26（10）：1946-1962 DOI： 10.11834/jrs.20220232.

摘要

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（

http://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=36906173&type=

http://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=36906170&type=

3.21733332

2.28600001

）数据与消光系数

http://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=36906179&type=

http://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=36906177&type=

7.78933382

3.89466691

之间的关系，引入“标高（

http://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=36906185&type=

http://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=36906182&type=

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

http://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=36906191&type=

http://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=36906188&type=

4.48733330

3.21733332

与PM

2.5

的相关性显著提高，相关系数（

）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（

）均大于0.7，均方根误差（RMSE）为18.59±2.26 μg/m

；提取所有观测站点进行验证，

=0.82，RMSE=18.64 μg/m

。

Abstract

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

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 (

http://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=36906196&type=

http://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=36906194&type=

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

http://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=36906202&type=

http://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=36906199&type=

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 (

=0.82)

and the RMSE is 18.64 μg/m

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.

关键词

Keywords

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