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Hanqing Kang

Researcher at Nanjing University of Information Science and Technology

Publications -  41
Citations -  892

Hanqing Kang is an academic researcher from Nanjing University of Information Science and Technology. The author has contributed to research in topics: Aerosol & Environmental science. The author has an hindex of 15, co-authored 33 publications receiving 639 citations.

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Analysis of a long-lasting haze episode in Nanjing, China

TL;DR: In this paper, a long-lasting haze episode occurred in Nanjing and its surrounding areas from October 15 to 31, 2009, and the average aerosol scattering coefficient was 696.7±445.
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A case study of surface ozone source apportionment during a high concentration episode, under frequent shifting wind conditions over the Yangtze River Delta, China.

TL;DR: Ozone arising from increased local and regional emissions during high-concentration events was more significant than super regional contribution, and it reveals that the ozone from Anhui region was transported through vertical mixing and horizontal advection to receptor areas in the YRD during the study time focus.
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Potential impacts of cold frontal passage on air quality over the Yangtze River Delta, China

TL;DR: In this article, a cold frontal passage and a subsequent stable weather event over YRD during 21-26 January 2015 was investigated with in-situ observations and Weather Research and Forecasting -Community Multi-scale Air Quality Modeling System simulations.
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Natural and anthropogenic contributions to long-term variations of SO2, NO2, CO, and AOD over East China

TL;DR: In this paper, the effects of natural processes and anthropogenic activities on the increase/decrease of the concentrations of some of the most important pollutants (SO2, NO2, CO and aerosols) over East China in the last decade were investigated.
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Effects of black carbon and boundary layer interaction on surface ozone in Nanjing, China

TL;DR: In this paper, the effect of black carbon (BC) on surface ozone, via reducing photolysis rate, has been widely discussed by “offline” model studies.