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Yun Fat Lam

Researcher at University of Hong Kong

Publications -  49
Citations -  3098

Yun Fat Lam is an academic researcher from University of Hong Kong. The author has contributed to research in topics: Air quality index & CMAQ. The author has an hindex of 20, co-authored 43 publications receiving 2118 citations. Previous affiliations of Yun Fat Lam include University of Tennessee & City University of Hong Kong.

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Journal ArticleDOI

Ozone pollution in China: A review of concentrations, meteorological influences, chemical precursors, and effects

TL;DR: This review summarizes the main findings from published papers on the characteristics and sources and processes of ozone and ozone precursors in the boundary layer of urban and rural areas of China, including concentration levels, seasonal variation, meteorology conducive to photochemistry and pollution transport, key production and loss processes, ozone dependence on nitrogen oxides and volatile organic compounds, and the effects of ozone on crops and human health.
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Simulation study on the impact of tree-configuration, planting pattern and wind condition on street-canyon's micro-climate and thermal comfort

TL;DR: In this article, numerical experiments involving street canyons with embedded trees of varying aspect ratio (ART), leaf area index (LAI), and trunk height under different wind conditions were conducted using a micro-meteorological model, ENVI-met.
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Impact assessment of biomass burning on air quality in Southeast and East Asia during BASE-ASIA

TL;DR: A synergy of numerical simulation, ground-based measurement and satellite observation was applied to evaluate the impact of biomass burning originating from Southeast Asia (SE Asia) within the framework of NASA's 2006 Biomass burning Aerosols in Southeast Asia: Smoke Impact Assessment (BASE-ASIA) as discussed by the authors.
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Impacts of future climate change and effects of biogenic emissions on surface ozone and particulate matter concentrations in the United States

TL;DR: In this article, the authors investigated the potential impacts of global cli- mate change and emissions on regional air quality using CMAQ and found that the impact of global climate change has shown insignificant effect, while the impacts of an- ticipated future emissions reduction account for the major contribution of overall PM2.5 reductions.