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2021 Recipients
Lin, Meng-Hui, 2nd-year Doctoral student. Low Carbon Transition Pathway in Higher Education Institute.
Advisor: Dr. Ching-Pin Tung
ABSTRACT
More and more international higher education institutes (HEIs) declare carbon neutrality, net-zero carbon emission, or carbon reduction as their climate action goals. However, it lacks operational standards and methodology for HEIs to set up reasonable carbon reduction options and pathways for their carbon management. Most carbon management standards are designed for enterprises to encourage private parties to invest resources into climate actions, but HEIs have different functions from the industry. However, the main functions of HEIs are teaching and doing research which are also indispensable parts during low carbon transition pathways for the systematic issue, climate change. Thus, measuring the contribution from HEIs instead of asking each HEIs to reach net-zero carbon emission would be a potential solution for the HEIs that do not own enough resources to select lasted technology for energy saving or carbon removal, especially in Taiwan. Besides, it assumes HEIs would take positive actions on better teaching and research in climate change when the results could be considered a concrete contribution in this study. Therefore, the integrated carbon management system (ICMS) for HEIs developed in this study includes (1) carbon inventory standard, (2) low carbon transition pathway, and (3) impact assessment tools on teaching and researching works, with this analysis framework would be a helpful tool-set on low carbon infrastructure in the pathways.
Keywords: climate change, low carbon transition, carbon reduction, mitigation, net-zero
Lin, Szu-Ying, 2nd-year Master's student. Responses of Vegetation Productivity under the Change of Precipitation in Chi-Lan Montane Cloud Forest.
Advisor: Dr. Min-Hui Lo
Co-advisor: Dr. Jehn-Yih Juang
ABSTRACT
Annual rainfall larger than 2000mm yr-1 provide enough water supply in dry season in tropical areas. Canopy water, which mainly intercepted from precipitation, makes montane cloud forest form its own unique water cycle than tropical ones. Different types of water demand to vegetation between ChiLan (CL, montane forest) forest and LienHuaChih forest (LHC, typical forest) in dry season (January to April) are resulted from winter precipitation (November to December), with 2-3 month lags on leaf area index (LAI). Observational results show that increasing rainfall causes lower LAI in CL, and the contrasting responses shown in LHC. The conditions above could be explained as "radiated limit" (minimum water stress) and "water limit" (acute water stress), referring to the concept of the Budyko curve. We use land model to simulate different precipitation intensity, for completing the water demand characteristic curve that is insufficient in observational data. Furthermore, the model output can also explain the non-linear relationship between precipitation and vegetation photosynthesis, passing through soil moisture, canopy evaporation and transpiration. Then can therefore find out the interaction between hydrological process and carbon cycle.
Keywords: climate change, precipitation, cloud forest, vegetation index, Budyko curve
2020 Recipients
Yang, Hsin, 1st-year Master's student. Campus-wide human comfort surveillance & management.
Advisor: Dr. Shiuh-Shen Chien
MOTIVATION
In climate change, everyone has a responsibility to achieve SDGs. National Taiwan University, is the best university in Taiwan, must bear this responsibility and lead people to reach this goal. Therefore, how to use wisdom to govern and promote more social actions, is our original thought. Recently, with the rise of environmental and health consciousness, issues about air pollution in local areas are gradually attracting attention, especially for PM2.5 that can cause the most severe health risk to human beings. Besides, many kinds of research have proved the phenomenon of spatial variability in air pollution (Lung et al.,2014; Merbitz et al.,2012) and can affect environmental temperature and humidity. Local traffic flow, buildings, human activities, and so on are the reasons that influence air pollution. In the past, the observational data based on the stations of the CWB and Environmental Protection Administration. And they could not fully show the spatial variability of PM2.5. Therefore, expanding the sensor setting is a trend in the future (Airbox). Integrating various sensors into a device and building a sensor network is essential. We can use this device to measure local factors like temperature and research the change of elements and cause and effect.Also, bring research into the field of reality is one of our objectives because many people can’t have the experience that a lifetime is affected by environmental pollution and climate change. But, if we establish a climate comfort system through a sensor network, people can realize and understand the influence of climate change and environmental pollution. For example, we build a sensor in front of the school gate and use data visualization to send real-time comfort information to the public to feel comfortable.
2019 Recipients
Wang, Siang-Heng, 3rd-year Doctoral student. Exploring Influences of Different Management Strategies on Surface Energy Patterns in Tea Field.
Advisor: Dr. Jehn-Yih Juang
Yang, En-Yang Joshua, 2nd-year Master's student. Spatial Distribution of Microplastic Fragments after Extreme Weather Event on the Northern Coast of Taiwan.
Advisor: Dr. Ludvig Löwemark
Co-advisor: Dr. Alexander Kunz
ABSTRACT
Plastic debris on Gongliao beach near Lungmen Nuclear Power Plant, North Taiwan, was sampled throughout 2018 and 2019. Plastic particles are classified into three size classes: large microplastics (1–5 mm), mesoplastics (5–25 mm), and macroplastics (>25 mm). The relationships among the abundances of the size classes were then examined. We expected that the stronger the typhoon impact is; the higher the amount of plastic debris can be found on the beach. The abundances of meso- and micro-plastics were most strongly correlated. There was a higher correlation between the abundances of macro- and meso-plastics than between macro- and micro-plastics.
Lin, Yu-Mei, 1st-year Master's student. Impact of Changes in Agricultural Activities on Local Climate over Taoyuan: Explore the differences between the model simulations and the observational weather data.
Advisor: Dr. Min-Hui Lo
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