The Trends and Possible Causes of Diurnal Temperature Changes in Taiwan Area from 1954 to 2003

碩士 === 台南女子技術學院 === 生活應用科學研究所 === 93 === The trends and possible causes of diurnal temperature changes in Taiwan area from 1954 to 2003 Abstract Taiwan is a densely populated island. To delvelope it’s industry, the urgent need of fossil fuel has been growing following the development of the industr...

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Bibliographic Details
Main Authors: YI-TING KUO, 郭怡婷
Other Authors: Jau-Jang Lu
Format: Others
Language:zh-TW
Published: 2005
Online Access:http://ndltd.ncl.edu.tw/handle/02075059621948879998
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Summary:碩士 === 台南女子技術學院 === 生活應用科學研究所 === 93 === The trends and possible causes of diurnal temperature changes in Taiwan area from 1954 to 2003 Abstract Taiwan is a densely populated island. To delvelope it’s industry, the urgent need of fossil fuel has been growing following the development of the industry. On the other hand, the emission of greenhouse gases also has been growing quickly. And these gases will accumulate as time goes by to influence the climate change indirectly. Weather could be influenced by both natural and human factors. Moreover, bizarre weather such as maximum temperature, minimum temperature and diurnal temperature change(DTC) etc. often causes great damage and loss of crops, fishery and so on. This study is focused on the DTC data from Taipei, Taichung, Tainan, Hualien, Yushan, Penghu, Hengchun stations in Taiwan area from 1954 to 2003. The results are as the following: 1.Average yearly DTC show a decreasing trend in seven stations in the last 50 years in Taiwan area. The varying range of maximum temperature is not obvious but average of minimum temperature is in the trend of increasing. A warming phenomena can be observed in Taiwan area. 2.The days of extreme temperature difference as DTC≧12℃ 20 years ago are more than the latest 20 years. The days of DTC≧12℃ in the season happened mostly in winter, next in spring and then autumn, leastly in summer. 3.Analyzing the relationship between population, numbers of motor vehicles and maximum / minimum temperature shows that minimum temperature is positively correlated with population and number of vehicles. DTC is negatively correlated with population and number of vehicles. Maximum temperature is positively correlated with the number of vehicles.