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論文中文名稱:道路逕流重金屬污染模式分析 [以論文名稱查詢館藏系統]
論文英文名稱:Modelling Heavy Metal Pollution of Road Runoff. [以論文名稱查詢館藏系統]
院校名稱:國立臺北科技大學
學院名稱:工程學院
系所名稱:土木與防災研究所
畢業學年度:103
畢業學期:第二學期
中文姓名:范其璇
英文姓名:FAN, CHI-HSUAN
研究生學號:102428060
學位類別:碩士
語文別:中文
口試日期:2015/07/13
指導教授中文名:林鎮洋
口試委員中文名:陳起鳳;曾大仁
中文關鍵詞:非點源污染、道路逕流污染、重金屬、SWMM、BASINS
英文關鍵詞:Nonpoint Source Pollution, Road Runoff Pollution, Heavy metal, SWMM, BASINS
論文中文摘要:隨著都市中不透水之區域及車輛數增加,道路逕流污染的比例必定將隨之升高,而道路與其他逕流污染相比,存在一項最需要被注意的重金屬污染物,因此本研究蒐集過去文獻以了解道路逕流污染來源與污染物種類,並深入探討其理論機制,如污染物的累積與沖刷現象。此外,過去研究大多以現場採樣進行量化,但非點源污染的發生及傳輸過程相當複雜,因此本研究將於北勢溪集水區,利用水質模式量化及模擬道路逕流污染流至水體後的影響。經率定驗證後,得出水體中的重金屬負荷量分別為鉛174.01 kg/yr、總鉻58.00 kg/yr及鎘10.47 kg/yr,而此地區之平均每輛車每年產生0.246g的鉛、0.082g的鉻、以及0.015g的鎘。另外,利用情境分析,模擬出年總車輛若增加三倍時,水體中的重金屬年負荷將會增加二倍,最大濃度則會增加1.3倍(鎘)至5.6倍(鉛),以及對於道路逕流污染至水體前的濃度進行預測,以了解源頭的污染情形,結果顯示,與水體的平均濃度相比兩者可相差5(鉻)到18倍(鎘)之多,且濃度大多超過水質標準之規定值。整體來說,雖然水體中的重金屬濃度低於飲用水水源水質標準,但水體中的濃度增量與源頭的道路逕流污染預測結果,以及重金屬污染本身的毒性與生物放大作用,皆指出道路逕流污染可能造成的威脅,應不容忽視。
論文英文摘要:Increasing impervious surfaces and number of vehicles in urban areas result in an increasing nonpoint pollution of roads. Compared with other nonpoint source pollution, heavy metals is a pollution that need to note. Therefore, this study will collect the literature in the past in order to understand road runoff pollution sources and types of contamination, and to comprehend build-up and wash-off theory. This article presents an application of the Storm Water Management Model (SWMM) in order to estimate the pollution loads and simulate the impact after the road runoff pollution flow to Beishi Creek. The results pointed out that the heavy metal pollution loads in creek are: 174.01 kg/yr of lead, 58 kg/yr of chrome and 10.47 kg/yr of cadmium, and the values of heavy metal of average annual vehicle produced were estimates are the following: 0.246, 0.082 and 0.015 g/vehicle/year for Pb, Cr and Cd. Furthermore, uses of the situation simulation estimate the effect that if the annual total vehicle increase trifold, the heavy metal loads will become twofold, and values for the maximum concentration range from 1.3 to 5.6 times. In addition, the road runoff pollution concentration before flow to the creek were predicted, the results show that the heavy metal concentrations of road runoff were higher than creek. In short, the concentration in creek is still lower than drinking water quality standards, but the concentration of increment and source, as well as the heavy metal of toxicity and biomagnification may cause the threat. The road runoff pollution should not be ignored.
論文目次:摘 要 i\r ABSTRACT iii\r 誌 謝 v\r 目 錄 vi\r 表目錄 viii\r 圖目錄 ix\r 第一章 緒論 1\r 1.1 研究動機 1\r 1.2 研究目的 2\r 1.3 章節介紹 2\r 第二章 文獻回顧 4\r 2.1 非點源污染 4\r 2.2 道路逕流污染 6\r 2.2.1 污染源與污染物種類 8\r 2.2.2 累積與沖刷過程 10\r 2.3 道路逕流污染量推估之研究 14\r 2.4 非點源污染模式 18\r 2.4.1適用於道路逕流之非點源污染模式介紹 18\r 2.4.2模式評選 20\r 第三章 研究方法 21\r 3.1 研究流程與架構 21\r 3.2 研究區域之介紹 23\r 3.2.1 地理環境 23\r 3.2.2 土地利用及產業 25\r 3.2.3 交通運輸與人口 27\r 3.2.4 氣候條件 30\r 3.2.5 水文與水質 32\r 3.2.6 點源污染處理狀況 35\r 3.2.7 非點源污染現況 38\r 3.3 模式介紹 40\r 3.3.1 集水區管理系統(BASINS) 40\r 3.3.2 暴雨管理模式(SWMM) 41\r 3.2.3 非點源污染模式水質運算理論 44\r 第四章 結果與討論 47\r 4.1 模式建置 47\r 4.1.1 BASINS建置流程 47\r 4.1.2 SWMM建置與參數設置 48\r 4.2 模式模擬結果 50\r 4.3 單位車輛重金屬負荷 55\r 4.4 情境分析 56\r 4.4.1 交通增量情境 57\r 4.4.2 道路逕流污染預測模擬 60\r 4.4.3 總結 63\r 第五章 結論與建議 64\r 5.1 結論 64\r 5.2 建議 65\r 參考文獻 66
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