Publications by authors named "Meng-Yi Jin"

Article Synopsis
  • The study investigates how urban development (grey infrastructure) and mature parks (green infrastructure) affect air pollution levels, specifically particulate matter (PM), in Dublin.
  • The research utilizes air quality monitoring and modeling to analyze current and future pollution scenarios, revealing different vegetation heights can significantly impact PM reduction based on wind direction.
  • Findings highlight the need for careful urban planning that considers the interplay between green and grey infrastructures to mitigate air quality issues near city parks.
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In near-road neighborhoods, residents are more frequently exposed to traffic-related air pollution (TRAP), and they are increasingly aware of pollution levels. Given this consideration, this study adopted portable air pollutant sensors to conduct a mobile monitoring campaign in two near-road neighborhoods, one in an urban area and one in a suburban area of Shanghai, China. The campaign characterized spatiotemporal distributions of fine particulate matter (PM) and black carbon (BC) to help identify appropriate mitigation measures in these near-road micro-environments.

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Road traffic represents the dominant source of air pollution in urban street canyons. Local wind conditions greatly impacts the dispersion of these pollutants, yet street trees complicate ventilation in such settings. This case study adopts a novel modelling framework to account for dynamic traffic and wind conditions to identify the optimal street tree configuration that prevents a deterioration in air quality.

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A cobalt-Xantphos-catalyzed, LiCl-mediated system has been developed for the direct and expedient preparation of arylzinc reagents in THF from the corresponding aryl iodides, bromides, and chlorides. Owing to the use of THF as a versatile solvent, the thus-formed arylzinc reagents displayed a high degree of compatibility with a variety of conventional as well as newly emerging metal-catalyzed cross-coupling reactions.

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