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引用本文:

DOI:

10.11834/jrs.20220232

收稿日期:

2020-06-27

修改日期:

2021-01-20

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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近地面PM2.5浓度
赵青琳1, 曾巧林1, 罗彬2, 许丽萍3, 范萌4, 陈良富4, 罗小波1
1.重庆邮电大学 计算机科学与技术学院;2.四川省环境政策研究与规划院;3.重庆市生态环境监测中心;4.中国科学院 空天信息创新研究院
摘要:

针对PM2.5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2017-2018年09:00-16:00时的PM2.5浓度。首先,基于气象观测的能见度数据(vis)与消光系数σa(λ)之间的关系,引入“标高(Hɑ)”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PM2.5之间的相关性,“干”消光系数σdry(λ)与PM2.5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±2.26μg/m3;提取所有观测站点进行验证,r=0.82,RMSE=18.64μg/m3

Estimation of hourly PM2.5 concentration Using vertical and humidity correction methods in Sichuan-Chongqing
Abstract:

Abstract: Objective: In the accompaniment of the sustained and rapid development of China"s economy for the past few years, the continuous improvement of the national economy, and the obvious trend of urbanization, leading to the unceasing decline of China"s air quality, and frequent occurrence of haze pollution weather, has seriously affected people"s health. PM2.5, as the main pollutant of haze, has been greatly concerned by all walks of life. Studies have shown that people exposed to PM2.5 for a long time are more likely to suffer from respiratory and cardiovascular diseases, and even die prematurely. Therefore, it is of particular importance to monitor and evaluate PM2.5 effectively and accurately. Method: 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, it is difficult to estimate the near-surface PM2.5 concentration by using satellite remote sensing method. Considering the complicated topography in Sichuan and Chongqing Area, "Elevation (Hɑ )" was introduced for vertical correction of regional Aerosol Optical Depth; Meanwhile, 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 PM2.5 concentration from 09:00 to 16:00 in 2017-2018 in the Sichuan-Chongqing Area, and the accuracy was verified. The area PM2.5 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. Result:In this study, We come to the following conclusion (1) Due 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. The 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, it is necessary to use the hygroscopic correction factor grid constructed by fitting the hygroscopic growth factor month by month and site by site during the humidity correction to estimate PM2.5. (2) Compared with PM2.5 and AOD, the correlation coefficient between PM2.5 and σdry(λ) 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 18.64μg/m3, there is a good estimation result. Comparing the hourly and monthly scales respectively, the estimation results of the afternoon time are better than that of the morning, and that of autumn and winter is better than that of spring and summer. (3) It can be seen according to the annual average spatial distribution of PM2.5 in 2017 and 2018, that the concentration of PM2.5 in Sichuan and Chongqing Area is the highest in winter, the lowest in summer, and followed by that in spring and autumn. Conclusion: The vertical correction and humidity correction methods are used to estimate PM2.5 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, it still needs to be improved.

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