Variation of Aerosol Optical Depth Measured by Sun Photometer at a Rural Site near Beijing during the 2017–2019 Period
In recent years, the Beijing–Tianjin–Hebei region has become one of the worst areas for haze pollution in China. Sun photometers are widely used for aerosol optical property monitoring due to the advantages of fully automatic acquisition, simple maintenance, standardization of data processing, and l...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-06-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/14/12/2908 |
| _version_ | 1827656989896867840 |
|---|---|
| author | Xiu Wu Jinlong Yuan Tianwen Wei Yunpeng Zhang Kenan Wu Haiyun Xia |
| author_facet | Xiu Wu Jinlong Yuan Tianwen Wei Yunpeng Zhang Kenan Wu Haiyun Xia |
| author_sort | Xiu Wu |
| collection | DOAJ |
| description | In recent years, the Beijing–Tianjin–Hebei region has become one of the worst areas for haze pollution in China. Sun photometers are widely used for aerosol optical property monitoring due to the advantages of fully automatic acquisition, simple maintenance, standardization of data processing, and low uncertainty. Research sites are mostly concentrated in cities, while the long-term analysis of aerosol optical depth (AOD) for the pollution transmission channel in rural Beijing is still lacking. Here, we obtained an AOD monitoring dataset from August 2017 to March 2019 using the ground-based CE-318 sun photometer at the Gucheng meteorological observation site in southwest Beijing. These sun photometer AOD data were used for the ground-based validation of MODIS (Moderate Resolution Imaging Spectroradiometer) and AHI (Advanced Himawari Imager) AOD data. It was found that MODIS and AHI can reflect AOD variation trends by sun photometer on daily, monthly, and seasonal scales. The original AOD measurements of the sun photometer show good correlations with satellite observations by MODIS (R = 0.97), and AHI (R = 0.89), respectively, corresponding to their different optimal spatial and temporal windows for matching with collocated satellite ground pixels. However, MODIS is less stable for aerosols of different concentrations and particle sizes. Most of the linear regression intercepts between the satellite and the photometer are less than 0.1, indicating that the errors due to surface reflectance in the inversion are small, and the slope is least biased (AHI: slope = 0.91, MODIS: slope = 0.18) in the noon period (11 a.m.–2 p.m.) and most biased in summer (AHI: slope = 0.77, MODIS: slope = 1.31), probably due to errors in the aerosol model. The daily and seasonal variation trends between CE-318 AOD measurements in the Gucheng site and fine particulate observations from the national air quality site nearby were also compared and investigated. In addition, a typical haze–dust complex pollution event in North China was analyzed and the changes in AOD during the pollution event were quantified. In processing, we use sun photometer and satellite AOD data in combination with meteorological and PM data. Overall, this paper has implications for the study of AOD evolution patterns at different time scales, the association between PM<sub>2.5</sub> concentrations and AOD changes, and pollution monitoring. |
| first_indexed | 2024-03-09T22:36:07Z |
| format | Article |
| id | doaj.art-c3c5918e8d484e21bc6c8059c44a0826 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T22:36:07Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-c3c5918e8d484e21bc6c8059c44a08262023-11-23T18:48:45ZengMDPI AGRemote Sensing2072-42922022-06-011412290810.3390/rs14122908Variation of Aerosol Optical Depth Measured by Sun Photometer at a Rural Site near Beijing during the 2017–2019 PeriodXiu Wu0Jinlong Yuan1Tianwen Wei2Yunpeng Zhang3Kenan Wu4Haiyun Xia5School of Earth and Space Science, University of Science and Technology of China, Hefei 230026, ChinaSchool of Earth and Space Science, University of Science and Technology of China, Hefei 230026, ChinaSchool of Earth and Space Science, University of Science and Technology of China, Hefei 230026, ChinaSchool of Earth and Space Science, University of Science and Technology of China, Hefei 230026, ChinaSchool of Earth and Space Science, University of Science and Technology of China, Hefei 230026, ChinaSchool of Earth and Space Science, University of Science and Technology of China, Hefei 230026, ChinaIn recent years, the Beijing–Tianjin–Hebei region has become one of the worst areas for haze pollution in China. Sun photometers are widely used for aerosol optical property monitoring due to the advantages of fully automatic acquisition, simple maintenance, standardization of data processing, and low uncertainty. Research sites are mostly concentrated in cities, while the long-term analysis of aerosol optical depth (AOD) for the pollution transmission channel in rural Beijing is still lacking. Here, we obtained an AOD monitoring dataset from August 2017 to March 2019 using the ground-based CE-318 sun photometer at the Gucheng meteorological observation site in southwest Beijing. These sun photometer AOD data were used for the ground-based validation of MODIS (Moderate Resolution Imaging Spectroradiometer) and AHI (Advanced Himawari Imager) AOD data. It was found that MODIS and AHI can reflect AOD variation trends by sun photometer on daily, monthly, and seasonal scales. The original AOD measurements of the sun photometer show good correlations with satellite observations by MODIS (R = 0.97), and AHI (R = 0.89), respectively, corresponding to their different optimal spatial and temporal windows for matching with collocated satellite ground pixels. However, MODIS is less stable for aerosols of different concentrations and particle sizes. Most of the linear regression intercepts between the satellite and the photometer are less than 0.1, indicating that the errors due to surface reflectance in the inversion are small, and the slope is least biased (AHI: slope = 0.91, MODIS: slope = 0.18) in the noon period (11 a.m.–2 p.m.) and most biased in summer (AHI: slope = 0.77, MODIS: slope = 1.31), probably due to errors in the aerosol model. The daily and seasonal variation trends between CE-318 AOD measurements in the Gucheng site and fine particulate observations from the national air quality site nearby were also compared and investigated. In addition, a typical haze–dust complex pollution event in North China was analyzed and the changes in AOD during the pollution event were quantified. In processing, we use sun photometer and satellite AOD data in combination with meteorological and PM data. Overall, this paper has implications for the study of AOD evolution patterns at different time scales, the association between PM<sub>2.5</sub> concentrations and AOD changes, and pollution monitoring.https://www.mdpi.com/2072-4292/14/12/2908aerosolremote sensingair pollutionground-based validationPM<sub>2.5</sub> |
| spellingShingle | Xiu Wu Jinlong Yuan Tianwen Wei Yunpeng Zhang Kenan Wu Haiyun Xia Variation of Aerosol Optical Depth Measured by Sun Photometer at a Rural Site near Beijing during the 2017–2019 Period Remote Sensing aerosol remote sensing air pollution ground-based validation PM<sub>2.5</sub> |
| title | Variation of Aerosol Optical Depth Measured by Sun Photometer at a Rural Site near Beijing during the 2017–2019 Period |
| title_full | Variation of Aerosol Optical Depth Measured by Sun Photometer at a Rural Site near Beijing during the 2017–2019 Period |
| title_fullStr | Variation of Aerosol Optical Depth Measured by Sun Photometer at a Rural Site near Beijing during the 2017–2019 Period |
| title_full_unstemmed | Variation of Aerosol Optical Depth Measured by Sun Photometer at a Rural Site near Beijing during the 2017–2019 Period |
| title_short | Variation of Aerosol Optical Depth Measured by Sun Photometer at a Rural Site near Beijing during the 2017–2019 Period |
| title_sort | variation of aerosol optical depth measured by sun photometer at a rural site near beijing during the 2017 2019 period |
| topic | aerosol remote sensing air pollution ground-based validation PM<sub>2.5</sub> |
| url | https://www.mdpi.com/2072-4292/14/12/2908 |
| work_keys_str_mv | AT xiuwu variationofaerosolopticaldepthmeasuredbysunphotometerataruralsitenearbeijingduringthe20172019period AT jinlongyuan variationofaerosolopticaldepthmeasuredbysunphotometerataruralsitenearbeijingduringthe20172019period AT tianwenwei variationofaerosolopticaldepthmeasuredbysunphotometerataruralsitenearbeijingduringthe20172019period AT yunpengzhang variationofaerosolopticaldepthmeasuredbysunphotometerataruralsitenearbeijingduringthe20172019period AT kenanwu variationofaerosolopticaldepthmeasuredbysunphotometerataruralsitenearbeijingduringthe20172019period AT haiyunxia variationofaerosolopticaldepthmeasuredbysunphotometerataruralsitenearbeijingduringthe20172019period |