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Academic Journal
Coupling Coordination Degree of AOD and Air Pollutants in Shandong Province from 2015 to 2020
Ping Wang, Qingxin Tang, Yuxin Zhu, Yaqian He, Quanzhou Yu, Tianquan Liang, Yuying Ran
Atmosphere, Vol 14, Iss 4, p 654 (2023)
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| Title | Coupling Coordination Degree of AOD and Air Pollutants in Shandong Province from 2015 to 2020 |
|---|---|
| Authors | Ping Wang, Qingxin Tang, Yuxin Zhu, Yaqian He, Quanzhou Yu, Tianquan Liang, Yuying Ran |
| Publication Year |
2023
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| Source |
Atmosphere, Vol 14, Iss 4, p 654 (2023)
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| Description |
In order to reveal the correlation between aerosols and pollution indicators, the MODIS aerosol optical depth (AOD) was used to investigate the distribution of AOD in 16 prefecture-level cities in Shandong Province from 2015 to 2020. This study quantitatively analyzed the coupling degree and the coupling coordination degree between AOD and pollution indicators based on the coupling coordination model. The results showed that: (1) The annual average AOD in Shandong Province showed a rapid downward trend with a mean value of 0.615. The seasonal AOD of Shandong Province and prefecture-level cities was characterized by spring and summer > autumn and winter. The distribution of AOD in Shandong Province showed a spatial pattern of high in the west and low in the east, and high in the surrounding area and low in the middle. The decreasing rate of AOD was high in the west and low in the east. (2) The annual average AOD and Air Quality Index (AQI) were in a highly coupled and coordinated state. Their spatial distribution pattern decreased from west to east. There were certain fluctuations with seasonal changes, with the largest fluctuation in winter. (3) Except for O3, the overall coupling and coordination level between AOD and each pollutant was relatively high. The coupling coordination effect was as follows: C (PM2.5, AOD) and C (PM10, AOD) > C (NO2, AOD) > C (SO2, AOD), and C (CO, AOD) > C (O3, AOD). Except for the O3, its distribution was characterized by highs in the west and lows in the east. The degree of coupling between each pollution indicator and the seasonal average AOD was high. The study showed that there was a high degree of coupling and coordination between pollutant concentration indicators and AOD, and remote sensing AOD data can be used as an effective supplement to regional pollutant monitoring indicators.
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| Document Type |
article
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| Language |
English
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| Publisher Information |
MDPI AG, 2023.
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| Subject Terms | |
