The Characteristics and Contributing Factors of Air Pollution in Nanjing: A Case Study Based on an Unmanned Aerial Vehicle Experiment and Multiple Datasets
Abstract
:1. Introduction
2. UAV Platform and Flow Field Simulation
2.1. Platform
2.2. Flow Field Simulation of UAV
3. Methodology
3.1. Experiment Overview
3.2. Data Collection and Methods
4. Results
4.1. Pollution Episode Summary and Meteorological Factors
4.2. Flight Measurement Features
4.3. Synoptic Situation
4.4. Major Contributions and Transport Pathways in the Pollution Episode
4.5. The Analysis of Satellite Remote Sensing Data
4.5.1. Analysis of the Distribution of the MODIS Aqua Satellite Retrieval AOD Product
4.5.2. Analysis of the Vertical Distribution Characteristics of Aerosols
5. Discussion and Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
Appendix A
References
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Flight ID | Takeoff Time | Flight ID | Take off Time | Flight ID | Takeoff Time |
---|---|---|---|---|---|
A1 | 09:00 LST 3 December | B1 | 21:00 LST 3 December | C1 | 09:00 LST 4 December |
A2 | 12:00 LST 3 December | B2 | 00:00 LST 4 December | C2 | 12:00 LST 4 December |
A3 | 15:00 LST 3 December | B3 | 03:00 LST 4 December | C3 | 15:00 LST 4 December |
A4 | 18:00 LST 3 December | B4 | 06:00 LST 4 December | C4 | 18:00 LST 4 December |
Date | Taiyuan (Shanxi) | Shijiazhuang (Hebei) | Zhengzhou (Henan) | Jinan (Shandong) | Bengbu (Anhui) | |||||
---|---|---|---|---|---|---|---|---|---|---|
AQI | Air Quality Level | AQI | Air Quality Level | AQI | Air Quality Level | AQI | Air Quality Level | AQI | Air Quality Level | |
01 Dec | 110 | Lightly Polluted | 152 | Moderately Polluted | 168 | Moderately Polluted | 112 | Lightly Polluted | 92 | Good |
02 Dec | 172 | Moderately Polluted | 248 | Heavily Polluted | 216 | Heavily Polluted | 130 | Lightly Polluted | 109 | Lightly Polluted |
03 Dec | 109 | Lightly Polluted | 254 | Heavily Polluted | 286 | Heavily Polluted | 166 | Moderately Polluted | 144 | Lightly Polluted |
04 Dec | 58 | Good | 89 | Good | 190 | Moderately Polluted | 56 | Good | 155 | Moderately Polluted |
05 Dec | 72 | Good | 68 | Good | 73 | Good | 75 | Good | 158 | Moderately Polluted |
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Zhou, S.; Peng, S.; Wang, M.; Shen, A.; Liu, Z. The Characteristics and Contributing Factors of Air Pollution in Nanjing: A Case Study Based on an Unmanned Aerial Vehicle Experiment and Multiple Datasets. Atmosphere 2018, 9, 343. https://doi.org/10.3390/atmos9090343
Zhou S, Peng S, Wang M, Shen A, Liu Z. The Characteristics and Contributing Factors of Air Pollution in Nanjing: A Case Study Based on an Unmanned Aerial Vehicle Experiment and Multiple Datasets. Atmosphere. 2018; 9(9):343. https://doi.org/10.3390/atmos9090343
Chicago/Turabian StyleZhou, Shudao, Shuling Peng, Min Wang, Ao Shen, and Zhanhua Liu. 2018. "The Characteristics and Contributing Factors of Air Pollution in Nanjing: A Case Study Based on an Unmanned Aerial Vehicle Experiment and Multiple Datasets" Atmosphere 9, no. 9: 343. https://doi.org/10.3390/atmos9090343