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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 陳琪芳(Chi-Fang Chen) | |
dc.contributor.author | Hsiang-Hsuan Jan | en |
dc.contributor.author | 冉祥萱 | zh_TW |
dc.date.accessioned | 2021-06-07T17:33:09Z | - |
dc.date.copyright | 2021-02-22 | |
dc.date.issued | 2021 | |
dc.date.submitted | 2021-02-04 | |
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Netto, 'Underwater soundscape pattern during high season of nautical tourism in Cabo Frio island, Brazil,' in Proceedings of Meetings on Acoustics 5ENAL, 2019, vol. 37, no. 1: Acoustical Society of America, p. 070003. [34] 劉岱樺,「離岸風機打樁與營運之水下噪音模擬及量測分析」,學術論文, 工程科學及海洋工程學系,國立臺灣大學,2018。 [35] 楊瑋誠、周蓮香、陳琪芳、李沛沂、胡惟鈞,「離岸風電場近海鯨豚族群健康評估與水下聲景資料建置」,國家海洋研究院委託研究報告,2020。 [36] 黃維信、陳琪芳、魏瑞昌、邱永盛、許榮均,「離岸風場之水下背景噪音量測與模擬(1/3)」,科技部補助產學合作研究計畫成果完整報告,2014。 [37] 黃維信、陳琪芳,「離岸風場之水下背景噪音量測與模擬(2/3)」,科技部補助產學合作研究計畫成果完整報告,2015。 [38] 黃維信、陳琪芳,「離岸風場之水下背景噪音量測與模擬(3/3)」科技部補助產學合作研究計畫成果完整報告,2016。 [39] 黃維信、陳琪芳,「離岸風場之水下背景噪音量測與模擬II(1/2)」,科技部補助產學合作研究計畫成果完整報告,2017。 [40] 黃維信、陳琪芳,「離岸風場之水下背景噪音量測與模擬II(2/2)」,科技部補助產學合作研究計畫成果完整報告,2018。 [41] 蔡進發、張瑞益、洪鈺欣、宋家驥、林益煌、吳文中、王昭男、陳雪如、江允智、陳琪芳,「台灣離岸風場運維大數據網路平台建置研究(1/2)」,科技部補助專題研究計畫成果報告期中進度報告,2019。 [42] 蔡進發、張瑞益、洪鈺欣、宋家驥、林益煌、吳文中、王昭男、陳雪如、江允智、陳琪芳,「台灣離岸風場運維大數據網路平台建置研究(2/2)」,科技部補助專題研究計畫成果完整報告,2020。 | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/15350 | - |
dc.description.abstract | 近年全球暖化以及空氣汙染議題日益被重視,臺灣政府以減少碳排放為目標,積極提高再生能源發電比例,其中以離岸風電為當今大力推動政策之一。但伴隨離岸風場的開發,海事工程巨大的水下噪音以及離岸風機的長期運轉噪音等,皆有可能對該海域之水下聲景造成改變,進而影響許多對聲音敏感之物種。對此,本研究使用被動式水下監測(Passive Acoustic Monitoring, PAM)於苗栗外海進行長時間之水下聲景量測,進而探討及分析苗栗外海水下聲景之時空變化。時間變化部分,本研究透過分析2014至2020年夏季(6至8月)之水下音訊,對海洋風場的建置前後的聲壓位準(Sound Pressure Level, SPL)及水下聲景數值模型進行研究,發現海洋風場建置完成後當地水下之聲壓位準確實有比未興建時大,且興建風場前後之水下聲景數值模型其相關性亦相對低落,證實海洋風場的興建確實對苗栗外海之水下聲景造成影響。而在魚叫聲偵測方面於苗栗外海發現兩種魚叫聲,分別為類型一及類型二,2016年後類型二之魚叫聲開始變得較不活躍,且類型一之魚叫聲伴隨風場建置,其魚叫聲之聲能漸漸變小,出沒時間也逐漸縮短。空間變化部分,本研究使用2014及2019年夏季(6至8月)於苗栗外海兩個不同點位之水下音訊,探討同一時間鄰近海域之水下聲景是否會有差異,研究發現同一時間兩點位之聲壓位準及水下聲景數值模型並無太大差異,依此結果日後在水下監測方面便可以單一點位之聲能基線代表整個風場,進而降低水下佈放之成本。 | zh_TW |
dc.description.abstract | In recent years, global warming and air pollution have been increasingly concerned worldwide, hence, the Taiwan government has pursued and aimed to reduce carbon emission by promoting the development of renewable energy, especially the establishment of offshore wind farms. However, the development of offshore wind farms will result in elevated underwater noise levels due to the construction and the continual operational noise of the wind turbines, which may hinder the well-being of marine mammals. This research utilizes Passive Acoustic Monitoring (PAM) to monitor the long-term underwater noise levels of the Miaoli coastal with regard to the concern of increased underwater noise, furthermore, study the development of the underwater soundscape over time and space. This study analyzes the recorded underwater acoustic data during summer (June to August), from 2014 to 2020. Evaluating the Sound Pressure Level (SPL) and the numerical model of underwater soundscape before and after the construction of the offshore wind farm, it is found that the underwater sound levels after the wind farm construction are higher compared to prior the existence of the offshore wind farm construction. Further, the correlation coefficient of the before-and-after construction is shown relatively low from the numerical model of the underwater soundscape. It is then confirmed that the construction of the offshore wind farm has influenced the underwater soundscape of the Miaoli shore. In terms of fish chorus detection, it is found that there are two different chorusing types (Type 1 and Type 2) off Miaoli coastal, the type 2 fish chorus reduced in intensity gradually after 2016, and the type 1 fish chorus is found weaker in intensity and the duration is shown shortened after the offshore wind farm is constructed. The development is studied by exploring the variance of the PAM data from 2014 and 2019 between two different locations. The result shows that the average underwater sound levels and numerical model from both locations were similar. Thus, it is then verified that the sound level baseline of just a single location would be sufficient to represent the entire wind farm for future underwater monitoring in turn to reduce the cost of underwater deployment. | en |
dc.description.provenance | Made available in DSpace on 2021-06-07T17:33:09Z (GMT). No. of bitstreams: 1 U0001-0202202119005300.pdf: 11649603 bytes, checksum: 4ee81169a367e6552bf683555e95d0e9 (MD5) Previous issue date: 2021 | en |
dc.description.tableofcontents | 誌謝 i 摘要 ii ABSTRACT iii 圖目錄 vi 表目錄 xii Chapter 1 緒論 1 1.1 前言 1 1.2 研究動機及目的 3 1.3 文獻回顧 4 1.3.1 水下聲景 4 1.3.2 魚叫聲 9 1.4 論文架構 12 Chapter 2 研究方法 13 2.1 聲學指標量化 13 2.2 音訊分析 15 2.2.1 時域及頻域轉換 15 2.2.2 三分之一八度音程頻帶(one-third octave band) 16 2.3 魚叫聲偵測 18 Chapter 3 N1點位水下聲景量測 21 3.1 儀器佈放與量測方式 21 3.1.1 儀器佈放位置 21 3.1.2 儀器介紹與量測流程 23 3.2 N1點位水文資料 28 3.3 分析方法 32 3.3.1 訊號分析 32 3.3.2 統計分析 32 3.4 N1點位水下聲景量測分析 34 3.4.1 水下環境噪音分析結果 34 3.4.2 水下聲景統計分布 51 3.4.3 魚叫聲偵測分析結果 64 Chapter 4 苗栗外海水下聲景空間變化量測 72 4.1 儀器佈放點位 72 4.2 S1、#21點位水文資料 75 4.3 S1、#21點位水下聲景量測分析 78 4.3.1 水下環境噪音分析結果 78 4.3.2 水下聲景統計分布 83 4.3.3 魚叫聲偵測分析結果 88 4.3.4 苗栗外海水下聲景量測實驗 90 Chapter 5 結論與未來工作 94 5.1 結論 94 5.2 未來工作 96 參考文獻 100 附錄A 2014至2020年夏季1 Hz頻帶頻譜位準圖 103 附錄B N1點位水下聲景統計分布 107 附錄C 魚叫聲偵測紀錄 114 | |
dc.language.iso | zh-TW | |
dc.title | 臺灣苗栗外海水下聲景量測分析研究 | zh_TW |
dc.title | Study of the Underwater Soundscape at the Coastal Region of Miaoli, Taiwan | en |
dc.type | Thesis | |
dc.date.schoolyear | 109-1 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 蔡進發(Jing-Fa Tsai),張至維(Chih-Wei Chang),劉長安(Shashidhar Siddagangaiah),彭巧明(Chiao-Ming Peng) | |
dc.subject.keyword | 離岸風力發電,水下聲景,魚叫聲偵測, | zh_TW |
dc.subject.keyword | offshore wind farms,underwater soundscapes,detection of fish chorus, | en |
dc.relation.page | 119 | |
dc.identifier.doi | 10.6342/NTU202100410 | |
dc.rights.note | 未授權 | |
dc.date.accepted | 2021-02-05 | |
dc.contributor.author-college | 工學院 | zh_TW |
dc.contributor.author-dept | 工程科學及海洋工程學研究所 | zh_TW |
顯示於系所單位: | 工程科學及海洋工程學系 |
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