Academy of Interdisciplinary Studies Division of Environment and Sustainability 204 Energy Resilience in Coastal Communities Supervisor: DELINA, Laurence Laurencio / ENVR Student: TANG, Wing Shun / EVMT Course: UROP2100, Spring This report describes the progress of this UROP during Spring 2023. This UROP seeks to examine the energy resilience of three coastal communities to hazards, mainly typhoons, in Hong Kong and the Philippines. In this report, we provide an overview of case studies conducted in six communities in these two regions, including their social demographic, geographic condition, energy supply systems, and climate vulnerabilities. The report concludes with a summary of the challenges faced during the conduct of this UROP. Air Quality Data Analysis and Interpretation Supervisor: GU, Dasa / ENVR Student: LAI, Long / SENG Course: UROP1100, Summer Air pollution has been a serious and growing concern in Hong Kong (Wang et al., 2006). Being one of the most densely populated cities in the world, gigantic amounts of air pollutants from a wide variety of sources are emitted into the atmosphere in Hong Kong every day and is threatening the health of the residents. Nevertheless, Hong Kong has been effective in limiting the amount of emissions through the implementation of stringent mitigation measures and the development of cutting-edge technologies (Lyu et al. 2017). This can be well illustrated in this report by the decrease in VOC emissions from the power generation sector from 0.587 kiloton to 0.5 kiloton over the past decade, which can be explained by the shift of usage from coal to natural gas. UROP Research on the Assessment of Personal Exposure to Air Pollution Supervisor: LAU, Alexis Kai Hon / ENVR Student: YANG, Mu / EVMT Course: UROP1100, Fall Air quality has been a severe matter closely related to human health. PRAISE, which means Personalized Real-time Air-quality Informatics System for Exposure, is a well-known App that enables the public to know how their daily routines expose them to air pollution. In this UROP research, we use multiple approaches, especially the PEK devices, to retrieve the data on personal exposure to air pollution and make comparisons between the real data and the one from PRAISE. Moreover, we record our daily activities simultaneously in order to have a better understanding of air pollution in different micro-environments. Eventually, this study aims to build a better picture of the population's exposure to air pollution in Hong Kong and raise public awareness of air pollution.
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