理學院

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學院概況

理學院設有數學系、物理學系、化學系、生命科學系、地球科學系、資訊工程學系6個系(均含學士、碩士及博士課程),及科學教育研究所、環境教育研究所、光電科技研究所及海洋環境科技就所4個獨立研究所,另設有生物多樣性國際研究生博士學位學程。全學院專任教師約180人,陣容十分堅強,無論師資、學術長現、社會貢獻與影響力均居全國之首。

特色

理學院位在國立臺灣師範大學分部校區內,座落於臺北市公館,佔地約10公頃,是個小而美的校園,內含國際會議廳、圖書館、實驗室、天文臺等完善設施。

理學院創院已逾六十年,在此堅固基礎上,理學院不僅在基礎科學上有豐碩的表現,更在臺灣許多研究中獨占鰲頭,曾孕育出五位中研院院士。近年來,更致力於跨領域研究,並在應用科技上加強與業界合作,院內教師每年均取得多項專利,所開發之商品廣泛應用於醫、藥、化妝品、食品加工業、農業、環保、資訊、教育產業及日常生活中。

在科學教育研究上,臺灣師大理學院之排名更高居世界第一,此外更有獨步全臺的科學教育中心,該中心就中學科學課程、科學教與學等方面從事研究與推廣服務;是全國人力最充足,設備最完善,具有良好服務品質的中心。

在理學院紮實、多元的研究基礎下,學生可依其性向、興趣做出寬廣之選擇,無論對其未來進入學術研究領域、教育界或工業界工作,均是絕佳選擇。

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    全球暖化影響之下日降水與極端降水事件變化之探討
    (2006) 吳郁娟
    Weather and climate events can have serious and damaging effects on human society (such as flood, heavy precipitation, heat wave, etc.). In this study, the simulation of the variability and extremes of daily rainfall for the present and the future climate is investigated. This is done by the ECHAM4/OPYC3 GSDIO for the period 1960-1990 and the Special Report on Emission Scenarios (SRES) A2 (rapid CO2 increase) and B2 (moderate CO2 increase) forcing scenario for the period of 2070-2100. Moreover, observational rainfall data from the Global Precipitation Climatology Project (GPCP, 1996-2004) is considered. In general, analysis of model data revealed agreement with observations. For the future, the ECHAM4/OPYC3 simulates the variability of the daily rainfall predicts the most pronounced precipitation changes are found in high latitudes of the Northern Hemisphere for the winter. However for some continental areas, the change of mean precipitation and rainfall intensity is not coincident. A clear reduction in the probability of wet day, in particular, for the large areas in the northern mid-latitudes and subtropics. Despite this decrease the relative contribution of heavy precipitation has grown due to the corresponding increase of the scale parameter of the gamma distribution. This implies a more extreme climate with higher probabilities of droughts and heavy precipitation events. Furthermore, the variability of the 99.7th percentile also implies in the area of heavy precipitation, stronger heavy rainfall will happen in the future, vice versa. Extreme value theory based on GEV and GPD provides a much more complete analysis of the statistical distribution of extreme rainfall event. We have obtained statistically significant spatial models of the three parameters of GEV and GPD. N-years return level form GEV or GPD all show the relative changes in extreme precipitation is larger than change in total precipitation.