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Yiming Liu

Researcher at Sun Yat-sen University

Publications -  38
Citations -  805

Yiming Liu is an academic researcher from Sun Yat-sen University. The author has contributed to research in topics: CMAQ & Medicine. The author has an hindex of 11, co-authored 21 publications receiving 513 citations. Previous affiliations of Yiming Liu include Chinese Ministry of Education & Hong Kong Polytechnic University.

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Exploring 2016–2017 surface ozone pollution over China: source contributions and meteorological influences

TL;DR: In this paper, the authors explore the source contributions to surface daily maximum 8'h average (MDA8) ozone over China in 2016 and 2017, the 2 years with the highest surface ozone averaged over Chinese cities in the record.
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Volatile organic compounds in roadside microenvironments of metropolitan Hong Kong

TL;DR: The characteristics and concentrations of volatile organic compounds (VOCs) in the roadside microenvironments of metropolitan Hong Kong were investigated in this paper, where the VOC concentrations, especially toluene, benzene, and chlorinated VOCs, were high when compared with those in most developed cities.
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Carbon monoxide levels in popular passenger commuting modes traversing major commuting routes in Hong Kong

TL;DR: In this paper, an extensive survey was conducted to measure carbon monoxide in three popular passenger commuting modes, bus, minibus, and taxi, which served, respectively, 3.91 million, 1.76 million and 1.31 million passenger trips per day in 1998.
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Modeling the impact of chlorine emissions from coal combustion and prescribed waste incineration on tropospheric ozone formation in China

TL;DR: In this article, the anthropogenic chlorine emissions inventory for China (ACEIC) was developed for the first time, including emissions of hydrogen chloride (HCl) and molecular chlorine (Cl2) from coal combustion and prescribed waste incineration (waste incineration plant).
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Changes in global air pollutant emissions during the COVID-19 pandemic: a dataset for atmospheric modeling

TL;DR: In this article, a dataset providing adjustment factors (AFs) that can be applied to current global and regional emission inventories has been developed to evaluate the impact of regional lockdowns at the global scale.