Interdisciplinary Programs Office Division of Environment and Sustainability 241 Visualization of Tree Failure in Super Typhoon Mangkhut Supervisor: LU Zhongming / ENVR Student: WAHYU Axell Nathaniel / CIVL Course: UROP1000, Summer This project tries to figure out a better urban design that can reduce the risk of having trees falling over by analyzing the tree failures that were caused by Typhoon Mangkhut in 2018 in Hong Kong. With fewer collapsed trees, there will be less property and consequently monetary damages while making a safer environment for the public during extreme weather phenomena. Currently, the project has utilized geographic information system software (ArcGIS) to help visualize the tree failures over Hong Kong for easier risk and design analyses. The communication with Hong Kong’s Development Bureau is still going to obtain a set of data of trees that are currently standing in the city, which is necessary before being able to properly calculate the risk. Several potentially influencing factors have been made which includes the wind speed, soil strength, sky view factor, and urban heat island. The future direction of this research project is guided to some extent by understanding where these factors come from and what they can do towards the trees in an urban setting. Ultra Compact Air Sensor Development for Personal Health and Indoor Air Quality Supervisor: NING Zhi / ENVR Co-supervisor: LAU Alexis Kai Hon / ENVR Student: RATTANAMANEEJARAT Thananun / SENG Course: UROP1000, Summer Air pollution is a field of growing concern, and bacterial activity in the air in one aspect of this. As bacteria can produce lactate through the process of anaerobic respiration (up to 600 mM), lactate sensors are a candidate for the detection of bacteria in air samples. However, as each biosensor has a linear range of measurement of analyte concentrations, and bacteria produces more lactate than that range, a diffusion layer (a semi-permeable membrane controlling the diffusion of the analyte) is placed atop the enzymatic region to extend the linear range. The primary aim of this report is to understand the relevant factors in optimizing and using a diffusion layer on an amperometric lactate enzyme sensor.
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