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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 羅敏輝 | |
dc.contributor.author | En-Hong Han | en |
dc.contributor.author | 韓恩弘 | zh_TW |
dc.date.accessioned | 2021-06-17T08:29:02Z | - |
dc.date.available | 2021-08-18 | |
dc.date.copyright | 2019-08-18 | |
dc.date.issued | 2019 | |
dc.date.submitted | 2019-08-12 | |
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Apparent temperature and cause-specific mortality in Copenhagen, Denmark: A case-crossover analysis. International journal of environmental research and public health, 8(9), 3712-3727. 24. World Meteorological Organization《Heatwaves and Health: Guidance on Warning-System Development》(2015), 13-15 25. Xu, Z., Etzel, R. A., Su, H., Huang, C., Guo, Y., & Tong, S. (2012). Impact of ambient temperature on children's health: a systematic review. Environmental research, 117, 120-131. 26. Zhang, Y., Feng, R., Wu, R., Zhong, P., Tan, X., Wu, K., & Ma, L. (2017). Global climate change: impact of heat waves under different definitions on daily mortality in Wuhan, China. Global health research and policy, 2(1), 10. 27. 王正雄, & 陳秀玲. (1997). 氣候溫暖化對台灣登革熱流行之影響. 中華公共衛生雜誌, 16(6), 455-465. 28. 吳宜昭, 陳永明, & 朱容練. (2010). 台灣氣候變遷趨勢. 國研科技, (25), 40-46. 29. 李思瑩、盧孟明(2010)。近五十年台灣極端高溫分析,《台北災害管理研討會論文集》。 30. 陳映融, 吳治達, 潘文驥, 陳穆貞, 龍世俊, 蘇慧貞, & 張坤城. (2016). 老年人口自殺與熱島效應之空間關聯分析: 以 2000 年至 2008 年台北都會區生態調查研究為例. 台灣公共衛生雜誌, 35(4), 406-417. 31. 廖于瑄, 王根樹, 王致皓, 李亞衡, 呂國臣, & 蕭朱杏. (2015). 評估地區相對極端氣溫的天氣型態對台灣七大空品區居民健康之影響-以腦血管疾病及缺血性心臟病為例. 台灣公共衛生雜誌, 34(6), 616-632. 32. 臺灣氣候變遷推估資訊與調適知識平台(https://tccip.ncdr.nat.gov.tw/v2/index.aspx) | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/74307 | - |
dc.description.abstract | 近年來氣候變遷下所導致的極端高溫事件於世界各地相較於過去更頻繁發生,這些高溫事件不但導致醫療成本的增加與經濟損失,造成民眾的健康威脅事件也層出不窮。
許多文獻指出,極端高溫所造成的熱傷害會受許多因素左右,舉凡基礎設施建設程度、醫療資源、人口組成、民眾耐受度、地理環境、工作型態等,皆會影響民眾面對高溫時所選擇的避險方式。為因應眾多因素所導致的熱傷害差異,部分國家採用不同的溫度指標,希望找出最適合當地的熱傷害指標,以保護易感族群遠離熱傷害威脅為目的。 雖然在台灣尚未有國際定義的熱浪出現,但近年確實出現更多、更強的高溫事件已成事實,未來也可能會有無法預測之極端高溫發生。為未雨綢繆,本研究將過去6年的熱傷害現象與發生熱傷害當時的溫度相互比較,希望藉此找出屬於台灣的熱傷害溫度閾值,再進一步找出符合台灣的熱傷害溫度指標。 研究結果發現,在台灣,65歲以上的族群相較其他年齡層更易受熱傷害威脅;以地理區域來看,東部縣市發生率相對西部縣市更高。此外,本研究也發現以上結果隨著不同縣市產生差異,證明熱傷害預警標準可能須因地制宜訂定,無法以單一標準衡量之。進一步分析六都的溫度指標,則是每日平均濕球溫度(Wet-Bulb Temperature)對於熱傷害發生的趨勢最能夠先看見,未來或許可以此溫度作為熱傷害預警使用。 除了年齡與地理區域外,對高溫造成的熱傷害相關研究還受到人口結構、氣候環境、醫療資源等多種因子影響。為達到減少熱傷害發生的目標,除了朝向建立因地制宜的溫度指標努力外,還可以針對各縣市進行社會性分析,可以更全面的了解當地特性,以面對未來的高溫困境。 | zh_TW |
dc.description.abstract | The extreme high-temperature events induced by climate change are happening more frequently than before all over the world in recent years. These events are causing not only the increase in the medical costs and a decrease in the economic profits but also the elevation in health risks. Many literatures indicate that the heat stress created by the extremely high temperatures would be affected by multiple factors. The awareness of the public toward high temperatures has risen in recent years in Taiwan. This study analyzes the heat stress events happening in the past six years, searches for the threshold for the heat stress in Taiwan. The results reveal that the generation of age higher than sixty-five years old may be threatened by heat stress more than the other generations. The incidence rate is higher in eastern cities than that in western cities. With further investigation into the heat indices for the six cities, the average daily wet-bulb temperature is the best precursor for the trend of heat stress. There are still many other dimensions that should be included, e.g., demographical structure, climatological environment, medical resource in Taiwan, etc. which might influence the results of this study. If we want to prevent from heat stress, striving for a customized standard and also the social analysis targeting every city will be useful in the future. | en |
dc.description.provenance | Made available in DSpace on 2021-06-17T08:29:02Z (GMT). No. of bitstreams: 1 ntu-108-R05247012-1.pdf: 2628145 bytes, checksum: 7957dd281fb4d72472c6acff25f8bf2b (MD5) Previous issue date: 2019 | en |
dc.description.tableofcontents | 口試委員會審定書 #
誌謝 i 中文摘要 ii ABSTRACT iii 目錄 iv 圖目錄 vii 表目錄 ix Chapter 1 緒論 1 1.1 研究背景與動機 1 1.2 研究目的 3 Chapter 2 文獻回顧 4 2.1 熱浪相關研究 4 2.2 各國溫度指標 5 2.2.1 酷熱指數(Heat Index) 6 2.2.2 淨有效溫度(Net Effective Temperature) 6 2.2.3 綜合溫度熱指數(Wet-Bulb Globe Temperature) 6 2.2.4 體感溫度(Apparent Temperature) 6 2.2.5 濕球溫度(Wet-Bulb Temperature) 7 2.3 高溫與公共衛生 7 2.4 台灣高溫研究 10 2.4.1 近年溫度上升趨勢 10 2.4.2 公共與溫度相關文獻回顧 14 Chapter 3 研究方法 15 3.1 資料 15 3.1.1 氣象資料 15 3.1.2 熱傷害資料 16 3.1.3 人口資料 17 3.2 分析指標 17 3.2.1 發生率 17 3.2.2 相對風險 18 3.2.3 溫度指標意義與說明 18 3.3 專注好發熱傷害之月份 22 Chapter 4 結果與分析 24 4.1 台灣本島熱傷害發生人次與發生率 24 4.2 全台各縣市熱傷害發生人次與發生率-年齡分群 27 4.3 易感族群相對風險(RR) 37 4.4 溫度指標與熱傷害人次 40 4.4.1 每日平均溫度和每日最高溫度與熱傷害-以六都為例 40 4.4.2 不同溫度指標與熱傷害-以六都為例 47 4.4.3 六都熱傷害情形差異 54 Chapter 5 討論與建議 57 5.1 高溫時熱傷害人次下降現象 57 5.2 縣市差異 58 5.2.1 東部地區熱傷害分析 58 5.2.2 六都差異 58 5.3 研究限制 59 5.3.1 資料缺陷:戶籍與就醫地 59 5.3.2 熱傷害延遲現象 59 5.3.3 熱傷害案例過少 60 Chapter 6 結論與未來展望 61 6.1 我國熱傷害分析 61 6.2 熱傷害議題因地制宜的重要性 63 6.3 未來方向 63 6.3.1 熱傷害預警 63 6.3.2 韌性城市 64 Chapter 7 參考文獻 65 | |
dc.language.iso | zh-TW | |
dc.title | 近年熱傷害研究與溫度指標探討─以台灣為例 | zh_TW |
dc.title | The Impact of Extremely High Temperature and Heat Stress on Human Health in Taiwan | en |
dc.type | Thesis | |
dc.date.schoolyear | 107-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 莊振義,林博雄,朱容練 | |
dc.subject.keyword | 氣候變遷,極端高溫,熱傷害, | zh_TW |
dc.subject.keyword | climate change,extreme high temperature,heat stress, | en |
dc.relation.page | 68 | |
dc.identifier.doi | 10.6342/NTU201902902 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2019-08-13 | |
dc.contributor.author-college | 理學院 | zh_TW |
dc.contributor.author-dept | 氣候變遷與永續發展國際學位學程 | zh_TW |
顯示於系所單位: | 氣候變遷與永續發展國際學位學程(含碩士班、博士班) |
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