Tongwen Li
Biographic Data
| ID | 7859830 |
|---|---|
| NAME | Tongwen Li |
| GIVEN NAMES | Tongwen |
| FAMILY NAME | Li |
| SIGNATURE | LI T |
| AFFILIATIONS | Wuhan University |
| ORCID | 0000-0001-7197-3713 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Reconstructing global PM 2.5 monitoring dataset from OpenAQ using a two-step spatio-temporal model based on SES-IDW and LSTM
Fine particulate matter (PM 2.5 ) is widely concerned for its harmful impacts on global environment and human health, making air pollution monitoring so crucial and indispensable. As the world’s first open, real-time, and historical air quality platform, OpenAQ collects and provides government measurement and research-level data from various channels. However, despite OpenAQ’s innovation in providing us with ground-measured PM 2.5 worldwide, we f…
Global air quality change during Covid-19: A synthetic analysis of satellite, reanalysis and ground station data
Coronavirus disease 2019 (COVID-19) pandemic has led to a rare reduction in human activities. In such a background, data from ground-based environmental stations, satellites, and reanalysis materials are utilized to conduct a comprehensive analysis of the global air quality changes during the COVID-19 outbreak. The results showed that under the impact of the COVID-19 outbreak, a significant decrease in particulate matter (PM x ) and nitrogen diox…
The Effects of Fireworks Discharge on Atmospheric PM2.5 Concentration in the Chinese Lunar New Year
Discharging fireworks during the Chinese Lunar New Year celebrations is a deep-rooted custom in China. In this paper, we analyze the effect of this cultural activity on PM 2.5 concentration using both ground observations and satellite data. By combining remote sensing data, the problem of uneven spatial distribution of ground monitoring has been compensated, and the research time span has been expanded. The results show that the extensive firewor…
Temporal and Spatial Features of the Correlation between PM2.5 and O3 Concentrations in China
In recent years, particulate matter of 2.5 μm or less (PM 2.5 ) pollution in China has decreased but, at the same time, ozone (O 3 ) pollution has become increasingly serious. Due to the different research areas and research periods, the existing analyses of the correlation between PM 2.5 and O 3 have reached different conclusions. In order to clarify the relationship between PM 2.5 and O 3 , this study selected mainland China as the research are…
Integration of Remote Sensing and Social Sensing Data in a Deep Learning Framework for Hourly Urban PM2.5 Mapping
Fine spatiotemporal mapping of PM 2.5 concentration in urban areas is of great significance in epidemiologic research. However, both the diversity and the complex nonlinear relationships of PM 2.5 influencing factors pose challenges for accurate mapping. To address these issues, we innovatively combined social sensing data with remote sensing data and other auxiliary variables, which can bring both natural and social factors into the modeling; me…
The Relationships between PM2.5 and Meteorological Factors in China: Seasonal and Regional Variations
The interactions between PM 2.5 and meteorological factors play a crucial role in air pollution analysis. However, previous studies that have researched the relationships between PM 2.5 concentration and meteorological conditions have been mainly confined to a certain city or district, and the correlation over the whole of China remains unclear. Whether spatial and seasonal variations exist deserves further research. In this study, the relationsh…
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The Relationships between PM2.5 and Meteorological Factors in China: Seasonal and Regional Variations
The interactions between PM 2.5 and meteorological factors play a crucial role in air pollution analysis. However, previous studies that have researched the relationships between PM 2.5 concentration and meteorological conditions have been mainly confined to a certain city or district, and the correlation over the whole of China remains unclear. Whether spatial and seasonal variations exist deserves further research. In this study, the relationsh…
Temporal and Spatial Features of the Correlation between PM2.5 and O3 Concentrations in China
In recent years, particulate matter of 2.5 μm or less (PM 2.5 ) pollution in China has decreased but, at the same time, ozone (O 3 ) pollution has become increasingly serious. Due to the different research areas and research periods, the existing analyses of the correlation between PM 2.5 and O 3 have reached different conclusions. In order to clarify the relationship between PM 2.5 and O 3 , this study selected mainland China as the research are…
Integration of Remote Sensing and Social Sensing Data in a Deep Learning Framework for Hourly Urban PM2.5 Mapping
Fine spatiotemporal mapping of PM 2.5 concentration in urban areas is of great significance in epidemiologic research. However, both the diversity and the complex nonlinear relationships of PM 2.5 influencing factors pose challenges for accurate mapping. To address these issues, we innovatively combined social sensing data with remote sensing data and other auxiliary variables, which can bring both natural and social factors into the modeling; me…
The Effects of Fireworks Discharge on Atmospheric PM2.5 Concentration in the Chinese Lunar New Year
Discharging fireworks during the Chinese Lunar New Year celebrations is a deep-rooted custom in China. In this paper, we analyze the effect of this cultural activity on PM 2.5 concentration using both ground observations and satellite data. By combining remote sensing data, the problem of uneven spatial distribution of ground monitoring has been compensated, and the research time span has been expanded. The results show that the extensive firewor…
Global air quality change during Covid-19: A synthetic analysis of satellite, reanalysis and ground station data
Coronavirus disease 2019 (COVID-19) pandemic has led to a rare reduction in human activities. In such a background, data from ground-based environmental stations, satellites, and reanalysis materials are utilized to conduct a comprehensive analysis of the global air quality changes during the COVID-19 outbreak. The results showed that under the impact of the COVID-19 outbreak, a significant decrease in particulate matter (PM x ) and nitrogen diox…
Reconstructing global PM 2.5 monitoring dataset from OpenAQ using a two-step spatio-temporal model based on SES-IDW and LSTM
Fine particulate matter (PM 2.5 ) is widely concerned for its harmful impacts on global environment and human health, making air pollution monitoring so crucial and indispensable. As the world’s first open, real-time, and historical air quality platform, OpenAQ collects and provides government measurement and research-level data from various channels. However, despite OpenAQ’s innovation in providing us with ground-measured PM 2.5 worldwide, we f…
Air Quality and Health Impacts (6 works) · Geography (6 works) · Air Quality Monitoring and Forecasting (5 works) · Environmental Science (5 works) · Meteorology (5 works) · Atmospheric chemistry and aerosols (4 works) · Atmospheric sciences (4 works) · Geology (4 works) · Air pollution (3 works) · Air quality index (3 works)