Grace的進修雜記:)

This is just an assignment for the course requirement.

This physics seminar was combined two groups’ researches on the topics related to the greenhouse gas emission. They discussed the reason for the research to pick carbon dioxide (CO₂) or methane (CH₄), and talked about the method on analysing ODOT traffic data in Portland metro area. It was a very useful talk for understanding the sources of the greenhouse gas and what can be used in the data collection and analysis.

    One of the researchers used low cost CO₂ sensor system to observe the “breathing” of the atmosphere. The system has the benefits on small size and portable setup with low power consumption, but the limitation is the water interference. After filtering out some noises from the data collection, the results prove the setup worked well. Therefore, the next step is to build a housing to set the sensor in a secure box for future work.

     The goal here was to understand the changing atmospheric composition of “trace species” including greenhouse gases and other environmentally important gases. A long cleaning pipeline method was used to filter out some dirty data. The future work is to present a public tool allowing planners to survey these results, find hot spots, and consider mutation strategies.

    I have heard about greenhouse gas, but not really look into it. After the seminar, I was able to understand what sources and sinks are in our surroundings. One question I want to ask is, when someone looks at data trends, how do you find out what the noise is added and which needs to be filtered out?

相信大家都聽過溫室效應，上個月在系內的討論會上看到了研究生們努力建構可用的系統模型，目標是想要透過系統資料分析造成可能形成溫室效應氣體的來源，還有比較一些交通的資料，研究發現經由過濾掉一些無用的資料，透過不同的比對分析，日後可以有效提供一些查詢的資料庫給公家單位做參考。