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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 吳先琪 | |
dc.contributor.author | Yu-Hsiang Wang | en |
dc.contributor.author | 王昱翔 | zh_TW |
dc.date.accessioned | 2021-06-15T12:46:23Z | - |
dc.date.available | 2026-07-31 | |
dc.date.copyright | 2016-08-02 | |
dc.date.issued | 2016 | |
dc.date.submitted | 2016-07-25 | |
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G., & Preud'Homme, E. B. (1993). Stream Temperature Estimation from Air Temperature: Wiley Online Library. 46. Vollenweider, R. A. (1976). Advances in defining critical loading levels for phosphorus in lake eutrophication. Memorie dell'Istituto Italiano di Idrobiologia, Dott. Marco de Marchi Verbania Pallanza. 47. Wang, C.-Y., & Wang, J.-B. (2010). Analysis and Evaluation of Taiwan Water Shortage Factors and Solution Strategies. Asian Social Science, 6(10), p44. 48. Webb, B. (1987). The relationship between air and water temperatures for a Devon river. Report of the Transactions of the Devonion Association for the Advancement of Science 119: 197, 222. 49. Wetzel, R. G. (2001). Limnology: lake and river ecosystems: Gulf Professional Publishing. 50. 手塚泰彦. (1989). The C: N: P ratio of Microcystis and Anabaena (blue-green algae) and its importance for nutrient regeneration by aerobic decomposition. 陸水学雑誌, 50(2), 149-155. 51. 台灣自來水公司第一管理處. (2014). 新山水庫. 52. 朱佳仁. (2003). 環境流體力學: 科技圖書股份有限公司. 53. 行政院環境保護署. (2013). 環境水質監測年報. 54. 行政院環境保護署. (2016). 全國環境水質監測資訊網. 55. 吳先琪, 吳俊宗, 張美玲, & 簡鈺晴. (2010). 新山水庫藻類優養指標與水庫水質相關性之研究. 台灣自來水公司委託,國立台灣大學環境工程學研究所. (156) 56. 吳先琪, 吳俊宗, & 簡鈺晴. (2013). 軌跡模式應用於藻類生態模擬及預測氣候因子對微囊藻形成優勢之影響. 國立台灣大學環境工程學研究所. 57. 吳建鋐. (1987). 德基水庫二維水理與水質模式之模擬. 台灣大學土木工程學研究所碩士論文. 58. 姚重愷. (2013). 以 CE-QUAL-W2 模式模擬分析底層曝氣及入流水溫對新山水庫優養化水質改善之研究. 臺灣大學環境工程學研究所碩士論文. 59. 唐雍翔. (2015). 氣象變化及入流水溫對新山水庫優養化之影響. 臺灣大學環境工程學研究所碩士論文. 60. 國家實驗研究院台灣颱風洪水研究中心. (2016). 大氣水文研究資料庫. 61. 張家睿, 吳世弘, 洪聖智, & 歐永仁. (2009). 飲用水管理的水源, 淨水, 供水與停水特性探討.). 62. 陳怡靜. (2004). 水文變化, 生物地質化學作用及集水區人為活動對水庫磷質量平衡及藻類消長之影響-以台灣亞熱帶深水水庫為例. 臺灣大學環境工程學研究所博士論文. 63. 楊偉甫. (2010). 台灣地區水資源利用現況與未來發展問題. 用水合理化與新生水水源開發論壇. 台北. 64. 經濟部水利署. (2012). 新山水庫水門操作規定. 65. 謝文雄. (2003). 水庫水位激烈變化下之水理水質模擬. 國立中央大學水文與海洋學研究所碩士論文. 66. 簡鈺晴. (2013). 亞熱帶離槽水庫微囊藻取得優勢之機制分析及利用軌跡模式建立動態消長模式之研究. 臺灣大學環境工程學研究所博士論文. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/50564 | - |
dc.description.abstract | 水庫是台灣重要的水資源設施之一,其水質之良窳影響公共給水之品質至鉅。土地的開發、集水區土壤及營養鹽流失及各種人為活動造成之污染,影響了水庫水質,使水庫優養化及淤積日益嚴重,以上皆是目前水資源管理單位所面臨的問題。離槽水庫之水質受到進流河水之水質與水文影響,本研究將以新山水庫為對象,以水質模式CE-QUAL-W2做為模擬工具,以浮昇射流模式進行預估進流進入水庫之位置,使其模擬更為接近真實流況。此外,並以驗證過的模式進行模擬,探討利用氣象資料預估進流水溫及其他水質相關參數等因子對於庫內優養化的影響,找出控制新山水庫發生藻華現象之方法。
本研究建立了利用氣象資料預測河川水溫之方法,以之模擬2014年與2015年河川水溫,預測水溫與實測水溫之年平均相對誤差約為5 %,而月平均相對誤差約在3~7 %。模擬的準確性高。 利用預估之河川水溫進行庫內營養鹽分佈模擬之情形可看出,在冬季完全混合時,庫內營養鹽分佈均勻;在夏季分層時期,庫內營養鹽受水體分層與入流水停留位置之影響,分佈不均。模擬結果顯示春、秋兩季,藻類分佈與真實情形相似,模式對於藻類生長之預測相當準確。此外,庫內藻類濃度與上層水營養鹽濃度具有高度相關性。若能於河川溫度較低的時進流,可抑制進流水因浮力因素突破斜溫層到達表層,降低表層水營養鹽含量而限制藻類生長。 透過氣象資料預測進流水溫度之準確度高,此方法搭配浮昇射流修正之CE-QUAL-W2對於警告藻華事件之發生及模擬未來氣候變遷之影響極有幫助,可提供未來管理單位選擇控制庫內水質方案的依據。 關鍵字:CE-QUAL-W2、河水水溫預測模式、浮昇射流、優養化、離槽水庫 | zh_TW |
dc.description.abstract | The reservoirs are major water facilities in Taiwan. The water quality of reservoirs will affect the quality of public water supply. Due to land overexploitation and human activities are deteriorating the water quality of the reservoirs. Problems of the eutrophication and the reservoir sedimentation are worse than before, which the water resource management has to face. In this research, we have investigated the effects of inflowing water temperature in addition to the water quality of Keelung river on a subtropical off-channel reservoir, Hsin-Shan Reservoir. By using the water quality model CE-QUAL-W2 as a tool and we did simulation of the algal concentration as well as concentration of nutrients with the estimation of the inflow position by the buoyant jet model to get the estimates as close as the real situation. Furthermore, we established the methods to estimate the river temperature and other environmental factors affected the eutrophication through the meteorological data. Finally, the method to control and prevent the algae bloom in Hsin-Shan Reservoir will be discussed.
In this study, in order to simulate the river temperature, respectively, we established the model to predict the river water temperature by using weather information. The results show that the average relative error is about 5% between the predicted river water temperature and the real water temperature. The monthly average relative error is about 3 to 7%. In general, the simulation of river water temperature has reasonable accuracy. With estimated river water temperature, the simulation results indicate that the nutrients were completely mixed in the reservoir at winter, and was unevenly influenced by the thermal stratification and the final position of the inflow in summer. The model can accurately simulate temporal and spatial variation of the concentration of algae. Besides, we found that algae concentration in reservoir has highly correlation with the amount of nutrient supply to epilimnion. The nutrient supply to the surface water and algae growth would be reduced if the inflow temperature is low enough to avoid breaking into the thermocline to the surface on account of the buoyancy of the inflow water. With high accuracy of the estimates of the inflowing water temperature, CE-QUAL-W2 model with the consideration of the buoyant jet mechanism are able to simulate the water quality of Hsin-Shan Reservoir very well. The method can not only alert to the occurrence of algal bloom but also predict the impact of the climate change in the future. Therefore, the authority of Hsin-Shan Reservoir should closely watch the temperature of river water and choose appropriate operational approach to preserve the water quality in the reservoir when it is continuously climbing up within a short period of time. Keywords:CE-QUAL-W2、river temperature prediction、buyant jet mechanism、eutrophication、off-channel reservoir | en |
dc.description.provenance | Made available in DSpace on 2021-06-15T12:46:23Z (GMT). No. of bitstreams: 1 ntu-105-R03541121-1.pdf: 10199559 bytes, checksum: 17b2e5291eb48c8ca9c2538ef6eb3ad4 (MD5) Previous issue date: 2016 | en |
dc.description.tableofcontents | 誌謝 i
摘要 iii Abstract iv 目錄 vi 圖目錄 xi 表目錄 xiv 一、 前言 1 1.1 研究緣起 1 1.2 研究目的 2 二、 背景與原理 3 2.1 亞熱帶分層水庫及影響 3 2.1.1 水庫水體分層現象 3 2.1.2 水庫分層對水質之影響 4 2.1.3 氣溫升高對庫內水質影響 4 2.2 優養化現象 5 2.2.1 優養化指標 6 2.3 研究場址介紹 7 2.3.1 新山水庫介紹 7 2.3.2 歷年水質資料調查 7 2.4 河川水溫模式 9 2.4.1 河川水溫模式之相關研究 9 2.4.2 定率式水溫模式 10 2.4.3 河川熱交換基本理論 11 2.4.4 序率式水溫模式 12 2.4.5 序率模式方法 13 2.5 浮昇射流模式 15 2.5.1 射流理論與機制 16 2.5.2 浮流理論與機制 18 2.5.3 浮昇射流理論與機制 19 2.6 水庫模式 21 2.6.1 水庫模式的發展 21 2.6.2 國內水庫模式之相關研究 21 2.6.3 CE-QUAL-W2模式介紹 22 三、 材料與方法 23 3.1 實驗架構 23 3.2 數據收集與樣品分析 23 3.2.1 水庫背景資料 24 3.2.2 庫內水質資料 25 3.2.3 氣象資料 27 3.2.4 進出水資料 27 3.3 建立河川水溫預測模式之方法 27 3.3.1 模式架構 28 3.3.2 輸入檔設定與介紹 29 3.4 浮昇射流模式之方法 30 3.4.1 模式運算流程 30 3.4.2 輸入檔設定與介紹 32 3.5 建立水質預測模式 33 3.5.1 預測水質模式架構 33 3.5.2 水質模式各類方程式介紹 34 3.5.3 模式輸入資料介紹 40 3.5.4 水庫網格設定 42 四、 結果與討論 43 4.1 河川水溫預測模式資料分析 43 4.1.1 氣象因子之分析比較 43 4.1.2 模式基本設定 44 4.1.3 水溫預測模式統計性分析 44 4.1.4 水溫預測結果 46 4.2 浮昇射流搭配CE-QUAL-W2模式之校正與驗證 48 4.2.1 模式基本設定 48 4.2.2 水理模擬結果 50 4.2.2.1 水位模擬結果 50 4.2.2.2 溫度模擬結果 52 4.2.3 水質模擬結果 55 4.2.3.1 懸浮固體物與總磷模擬結果 55 4.2.3.2 氨氮及硝酸鹽模擬結果 59 4.2.3.3 葉綠素a模擬結果 62 4.3 預測河川水溫建立水質預測模式 65 4.3.1 模式基本設定 65 4.3.2 水理模擬結果 66 4.3.2.1 水位模擬結果 66 4.3.2.2 水溫模擬結果 67 4.3.3 水質模擬結果 71 4.3.3.1 營養鹽模擬結果 71 4.3.3.2 葉綠素a模擬結果 73 4.4 水質預測模式之應用 74 4.4.1 河川溫度對入流水停留位置之影響 74 4.4.2 總磷濃度分布之差異 76 4.4.3 硝酸鹽濃度分布之差異 78 4.4.4 葉綠素a濃度分布之比較 79 4.4.5 藻華事件發生之成因分析 81 4.5 基隆河營養鹽增減對庫內水質之影響 83 4.5.1 基隆河水質與庫內水質之比較 83 4.5.2 削減營養鹽含量對庫內營養鹽濃度分佈之影響 84 4.5.3 削減營養鹽含量對庫內葉綠素a濃度之影響 86 五、 結論與建議 88 5.1 結論 88 5.2 建議 90 參考文獻 91 附錄一 98 附錄二 100 附錄三 101 附錄四 103 附錄五 104 附錄六 105 附錄七 107 附錄八 109 附錄九 110 附錄十 113 附錄十一 119 附錄十二 121 | |
dc.language.iso | zh-TW | |
dc.title | 氣象變化對進流河水水溫及離槽水庫水質之影響 | zh_TW |
dc.title | The Effect of Weather on the River Temperature and the Water Quality of the off-channel Reservoir | en |
dc.type | Thesis | |
dc.date.schoolyear | 104-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 李公哲,柳文成,張智華 | |
dc.subject.keyword | CE-QUAL-W2,河水水溫預測模式,浮昇射流,優養化,離槽水庫, | zh_TW |
dc.subject.keyword | CE-QUAL-W2,river temperature prediction,buyant jet mechanism,eutrophication,off-channel reservoir, | en |
dc.relation.page | 126 | |
dc.identifier.doi | 10.6342/NTU201600711 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2016-07-25 | |
dc.contributor.author-college | 工學院 | zh_TW |
dc.contributor.author-dept | 環境工程學研究所 | zh_TW |
顯示於系所單位: | 環境工程學研究所 |
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