J
Junjun Deng
Researcher at Chinese Academy of Sciences
Publications - 57
Citations - 1501
Junjun Deng is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Chemistry & Environmental science. The author has an hindex of 19, co-authored 36 publications receiving 1129 citations. Previous affiliations of Junjun Deng include Tianjin University & Nanjing University.
Papers
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Journal ArticleDOI
Regionally-Varying Combustion Sources of the January 2013 Severe Haze Events over Eastern China
August Andersson,Junjun Deng,Ke Du,Ke Du,Mei Zheng,Caiqing Yan,Martin Sköld,Örjan Gustafsson +7 more
TL;DR: The results show that these severe haze events were equally affected by biomass combustion in all three regions, whereas the sources of the dominant fossil fuel component was dramatically different between north and south.
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Urban air quality and regional haze weather forecast for Yangtze River Delta region
Tijian Wang,Fei Jiang,Junjun Deng,Junjun Deng,Yi Shen,Qinyan Fu,Qian Wang,Yin Fu,Jianhua Xu,Danning Zhang +9 more
TL;DR: In this article, an urban air quality forecasting system based on the new generation of weather research forecast and chemistry model was applied in Shanghai, Nanjing and YRD area, and the accuracy rate of prediction on urban Air Pollution Index (API) is 50-83% and 80% for Shanghai and Nanjing, respectively.
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Characterization of visibility and its affecting factors over Nanjing, China
Junjun Deng,Junjun Deng,Tijian Wang,Ziqiang Jiang,Min Xie,Renjian Zhang,Xiaoxian Huang,Jialei Zhu +7 more
TL;DR: Wang et al. as discussed by the authors analyzed visibility, air pollution index and meteorological parameters over Nanjing during 2004 using multiple statistic methods to study the characterization of visibility and relevant affecting factors.
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Characterizing and sourcing ambient PM2.5 over key emission regions in China I: Water-soluble ions and carbonaceous fractions
TL;DR: In this paper, a multi-method approach was adopted to investigate region-specific air pollution characteristics and sources in China, results obtained using different analytical and receptor modeling methods were intercompared for validation and interpretation.
Journal ArticleDOI
Source apportionment of PM 2.5 at the Lin'an regional background site in China with three receptor models
Junjun Deng,Yanru Zhang,Yuqing Qiu,Hongliang Zhang,Wenjiao Du,Lingling Xu,Youwei Hong,Yanting Chen,Jinsheng Chen +8 more
TL;DR: In this paper, the authors used principal component analysis combining multiple linear regression (PCA-MLR), UNMIX and Positive Matrix Factorization (PMF) to identify the sources of PM2.5.