Publications by authors named "Ka In Hoi"

A high percentage of the world's population lives in areas where air pollutant concentrations exceed the World Health Organization guidelines. This work aims to develop and test, a high-resolution multi-scale air pollution modelling system by integrating a set of adequate tools. This system is able to provide detailed air pollutant concentrations in urban areas and support air quality management strategies through a better identification of different atmospheric processes.

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High particulate matter (PM) pollution episodes still occur occasionally in urban China, despite of improvements in recent years. Investigating the influencing factors of high-PM episodes is beneficial in the formulation of effective control measures. We herein present the effects of weather condition, emission source, and chemical conversion on the occurrence of high-PM episodes in urban Shanghai using multiple online measurements.

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Article Synopsis
  • Nitrous acid (HONO) is crucial for understanding tropospheric chemistry and can form both directly and secondarily in the atmosphere, particularly through reactions involving organic compounds in aerosols.
  • The study examined how nitrite is produced from the photolysis of nitrate under various conditions, revealing that the presence of certain small organic molecules can impact nitrite production efficiency.
  • Findings suggest that brown carbon (BrC) enhances nitrite generation through a process where its excited state helps convert nitrate to nitrite, offering insights into why HONO levels may be lower than expected in urban settings.
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The Pearl River Delta (PRD) region is located on the southeast coast of mainland China and it is an important economic hub. The high levels of particulate matter (PM) in the atmosphere, however, and poor visibility have become a complex environmental problem for the region. Air quality modeling systems are useful to understand the temporal and spatial distribution of air pollution, making use of atmospheric emission data as inputs.

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