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Litao Wang

Researcher at Hebei University of Engineering

Publications -  40
Citations -  4143

Litao Wang is an academic researcher from Hebei University of Engineering. The author has contributed to research in topics: Air quality index & CMAQ. The author has an hindex of 18, co-authored 30 publications receiving 3597 citations. Previous affiliations of Litao Wang include Tsinghua University.

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Asian emissions in 2006 for the NASA INTEX-B mission

TL;DR: In this article, a new inventory of air pollutant emissions in Asia in the year 2006 is developed to support the Intercontinental Chemical Transport Experiment-Phase B (INTEX-B) funded by the National Aeronautics and Space Administration (NASA).
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Air quality during the 2008 Beijing Olympic Games

TL;DR: Based on the US EPA's Models-3/CMAQ model simulation over the Beijing region, Wang et al. as mentioned in this paper estimate that about 34% of PM 2.5 on average and 35-60% of ozone during high ozone episodes at the Olympic Stadium site can be attributed to sources outside Beijing.
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Revisiting China's CO emissions after the Transport and Chemical Evolution over the Pacific (TRACE-P) mission: Synthesis of inventories, atmospheric modeling, and observations

TL;DR: In this article, a new inventory of CO emissions in China is presented for the year 2001, with a new estimate for China's CO emissions of 157 Tg, 36% higher than the TRACE-P estimate of 116 Tg.
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Improving urban air quality in China: Beijing case study.

TL;DR: Beijing’s case provides hope that the challenges associated with improving air quality can be met during a period of explosive development and motorization, and air quality in Chinese cities has improved to some extent.
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Wintertime aerosol chemistry and haze evolution in an extremely polluted city of the North China Plain: significant contribution from coal and biomass combustion

TL;DR: In this article, the authors investigated the sources and aerosol evolution processes of the severe pollution episodes in Handan, a typical industrialized city in the NCP region, using real-time measurements from an intensive field campaign during the winter of 2015-2016.