Interdisciplinary Programs Office Division of Environment and Sustainability 245 Life Cycle Approaches for Sustainable Buildings and Infrastructures Supervisor: SAUERWEIN Meike / ENVR Co-supervisor: BOOKHART Davis Boyd / ENVR Student: CHUNG Kai Jing Jeremy / EVMT YEUNG Ho Fan Marco / EVMT Course: UROP1100, Fall UROP1100, Fall This research explores the impact of green product labelling schemes in the construction industry, and it’s relationship with Life Cycle Assessment (LCA) based approaches. The research focuses mainly on the Green Product Certification (GPC) by the Construction Industry Council (CIC), which is the dominant certification scheme today. Analysis is made on its assessment criteria, utilization of the LCA and the relations between the scheme and the Green Building standard BEAM Plus. Effectiveness and inclusiveness of the current labelling scheme are mentioned. Suggestions towards how the GPC and BEAM Plus could increase its popularity and utilization are provided. Life Cycle Approaches for Sustainable Buildings and Infrastructures Supervisor: SAUERWEIN Meike / ENVR Co-supervisor: BOOKHART Davis Boyd / ENVR Student: GOSWAMI Arnab / CEEV Course: UROP2100, Fall The LEED (Leadership in Energy and Environmental Design) and BEAM (Building Environmental Assessment Method) building standards are examined and a comparison is drawn in this report. The life-cycle analysis requirements for both standards are illustrated along with the Green Products declarations and their weightage in the overall points system is discussed. The report further studies the CIC Carbon Assessment Tool and the various categories of materials required to conduct a life-cycle analysis of a building. The depth of the Life-Cycle Assessment (LCA) specifications in the two building standards is also compared and areas of improvement are discussed. Extreme Weather under Global Warming Supervisor: SHI Xiaoming / ENVR Student: TAN Hanzhi / SSCI Course: UROP1000, Summer With a great passion for atmospheric science, I have been enrolled in this UROP1000 project. After that, I am more and more feeling that my ability in the researching is getting enhanced, in both Python programming and meteorology knowledge, thanks to the mentoring by my supervising faculty. However, with that progress, I think that I still have improving space for advanced research skills. In this report, I will describe the data analyzing method for the Coupled Model Intercomparison Project (CMIP) experiments, the knowledge I have learned about Mei-yu precipitation, and the connection between atmospheric circulation and Mei-yu rainfall in the CMIP simulations.
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