D
Dongsheng Chen
Researcher at Beijing University of Technology
Publications - 71
Citations - 3143
Dongsheng Chen is an academic researcher from Beijing University of Technology. The author has contributed to research in topics: Air quality index & Emission inventory. The author has an hindex of 25, co-authored 62 publications receiving 2357 citations. Previous affiliations of Dongsheng Chen include Macquarie University.
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A comprehensive biomass burning emission inventory with high spatial and temporal resolution in China
TL;DR: In this article, a comprehensive biomass burning emission inventory including domestic and in-field straw burning, firewood burning, livestock excrement burning, and forest and grassland fires is presented, which was developed for mainland China in 2012 based on county-level activity data, satellite data, and updated source-specific emission factors (EFs).
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Relationship between atmospheric pollution processes and synoptic pressure patterns in northern China
TL;DR: The air pollution index (API) sequences in 10 cities in northern China and the synoptic pressure patterns during autumn and winter from 2002 to 2006 were analyzed with diagnostic and statistical methods as discussed by the authors.
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Source apportionment of PM2.5 at urban and suburban areas of the Pearl River Delta region, south China - With emphasis on ship emissions.
Jun Tao,Jun Tao,Leiming Zhang,Junji Cao,Liuju Zhong,Dongsheng Chen,Yihong Yang,Duohong Chen,Lai-Guo Chen,Zhisheng Zhang,Yunfei Wu,Yunjie Xia,Siqi Ye,Renjian Zhang +13 more
TL;DR: Ship emissions, a source factor previously ignored in making emission control policies in the Pearl River Delta region of south China, were among the top contributors to PM2.5 at both sites, accounting for >17% of PM2-5 mass concentrations.
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Willingness to pay for renewable electricity: A contingent valuation study in Beijing, China
TL;DR: Li et al. as mentioned in this paper estimated the willingness to pay (WTP) of Beijing residents for renewable electricity by employing the contingent valuation method (CVM) and identified the factors which affect their WTP.
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Identification of regional atmospheric PM10 transport pathways using HYSPLIT, MM5-CMAQ and synoptic pressure pattern analysis
TL;DR: Trans-boundary transport along with the convergence zone induced by mesoscale low pressure system in front of the Taihang Mountains, which was generated by topographical dynamics and thermal effects, proved to be the main cause of high PM"1"0 levels in Beijing.