Spatiotemporal Distribution of Major Aerosol Types over China Based on MODIS Products between 2008 and 2017
Knowledge of aerosol-type distribution is critical to the evaluation of aerosol–climate effects. However, research on aerosol-type distribution covering all is limited. This study characterized the spatiotemporal distribution of major aerosol types over China by using MODerate resolution Imaging Spe...
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| Format: | Article |
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MDPI AG
2020-07-01
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| Series: | Atmosphere |
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| Online Access: | https://www.mdpi.com/2073-4433/11/7/703 |
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| author | Qi-Xiang Chen Chun-Lin Huang Yuan Yuan Qian-Jun Mao He-Ping Tan |
| author_facet | Qi-Xiang Chen Chun-Lin Huang Yuan Yuan Qian-Jun Mao He-Ping Tan |
| author_sort | Qi-Xiang Chen |
| collection | DOAJ |
| description | Knowledge of aerosol-type distribution is critical to the evaluation of aerosol–climate effects. However, research on aerosol-type distribution covering all is limited. This study characterized the spatiotemporal distribution of major aerosol types over China by using MODerate resolution Imaging Spectroradiometer (MODIS) products from 2008 to 2017. Two aerosol-type classification methods were combined to achieve this goal. One was for relatively high aerosol load (AOD ≥ 0.2) using aerosol optical depth (AOD) and aerosol relative optical depth (AROD) and the other was for low aerosol load (AOD < 0.2) using land use and population density information, which assumed that aerosols are closely related to local emissions. Results showed that the dominant aerosol-type distribution has a distinct spatial and temporal pattern. In western China, background aerosols (mainly dust/desert dust and continent aerosol) dominate with a combined occurrence ratio over 70% and they have slight variations on seasonal scale. While in eastern China, the dominant aerosols show strong seasonal variations. Spatially, mixed aerosols dominate most parts of eastern China in spring due to the influence of long-range transported dust from Taklamakan and Gobi desert and urban/industry aerosols take place in summer due to strong photochemical reactions. Temporally, mixed and urban/industry aerosols co-dominate eastern China. |
| first_indexed | 2024-03-10T18:44:47Z |
| format | Article |
| id | doaj.art-b4306eccc1544e58861b1473be4bda65 |
| institution | Directory Open Access Journal |
| issn | 2073-4433 |
| language | English |
| last_indexed | 2024-03-10T18:44:47Z |
| publishDate | 2020-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj.art-b4306eccc1544e58861b1473be4bda652023-11-20T05:36:21ZengMDPI AGAtmosphere2073-44332020-07-0111770310.3390/atmos11070703Spatiotemporal Distribution of Major Aerosol Types over China Based on MODIS Products between 2008 and 2017Qi-Xiang Chen0Chun-Lin Huang1Yuan Yuan2Qian-Jun Mao3He-Ping Tan4School of Energy Science and Engineering, Harbin Institute of Technology, 92 Xidazhi Street, Harbin 150001, ChinaSchool of Energy Science and Engineering, Harbin Institute of Technology, 92 Xidazhi Street, Harbin 150001, ChinaSchool of Energy Science and Engineering, Harbin Institute of Technology, 92 Xidazhi Street, Harbin 150001, ChinaSchool of Urban Construction, Wuhan University of Science and Technology, Wuhan 430081, ChinaSchool of Energy Science and Engineering, Harbin Institute of Technology, 92 Xidazhi Street, Harbin 150001, ChinaKnowledge of aerosol-type distribution is critical to the evaluation of aerosol–climate effects. However, research on aerosol-type distribution covering all is limited. This study characterized the spatiotemporal distribution of major aerosol types over China by using MODerate resolution Imaging Spectroradiometer (MODIS) products from 2008 to 2017. Two aerosol-type classification methods were combined to achieve this goal. One was for relatively high aerosol load (AOD ≥ 0.2) using aerosol optical depth (AOD) and aerosol relative optical depth (AROD) and the other was for low aerosol load (AOD < 0.2) using land use and population density information, which assumed that aerosols are closely related to local emissions. Results showed that the dominant aerosol-type distribution has a distinct spatial and temporal pattern. In western China, background aerosols (mainly dust/desert dust and continent aerosol) dominate with a combined occurrence ratio over 70% and they have slight variations on seasonal scale. While in eastern China, the dominant aerosols show strong seasonal variations. Spatially, mixed aerosols dominate most parts of eastern China in spring due to the influence of long-range transported dust from Taklamakan and Gobi desert and urban/industry aerosols take place in summer due to strong photochemical reactions. Temporally, mixed and urban/industry aerosols co-dominate eastern China.https://www.mdpi.com/2073-4433/11/7/703aerosolaerosol typebackground aerosol subtypeChina |
| spellingShingle | Qi-Xiang Chen Chun-Lin Huang Yuan Yuan Qian-Jun Mao He-Ping Tan Spatiotemporal Distribution of Major Aerosol Types over China Based on MODIS Products between 2008 and 2017 Atmosphere aerosol aerosol type background aerosol subtype China |
| title | Spatiotemporal Distribution of Major Aerosol Types over China Based on MODIS Products between 2008 and 2017 |
| title_full | Spatiotemporal Distribution of Major Aerosol Types over China Based on MODIS Products between 2008 and 2017 |
| title_fullStr | Spatiotemporal Distribution of Major Aerosol Types over China Based on MODIS Products between 2008 and 2017 |
| title_full_unstemmed | Spatiotemporal Distribution of Major Aerosol Types over China Based on MODIS Products between 2008 and 2017 |
| title_short | Spatiotemporal Distribution of Major Aerosol Types over China Based on MODIS Products between 2008 and 2017 |
| title_sort | spatiotemporal distribution of major aerosol types over china based on modis products between 2008 and 2017 |
| topic | aerosol aerosol type background aerosol subtype China |
| url | https://www.mdpi.com/2073-4433/11/7/703 |
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