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研究生: 張承寰
Chang, Cheng-Huan
論文名稱: 雨量預報即時推估淹水範圍及淹水預警之研究
Research on Real-time Estimation of Flood Scope and Flood Warning Based on Rainfall Forecast
指導教授: 張駿暉
Jang, Jiun-Huei
學位類別: 碩士
Master
系所名稱: 工學院 - 水利及海洋工程學系碩士在職專班
Department of Hydraulic & Ocean Engineering (on the job class)
論文出版年: 2022
畢業學年度: 110
語文別: 中文
論文頁數: 104
中文關鍵詞: 淹水預警即時推估淹水範圍
外文關鍵詞: flood warning, real-time estimation of flood Scope
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  • 極端氣候的影響,降雨量及降雨強度屢屢超越以往紀錄,以往透過工程的方法應對極端氣候造成之洪水有所極限,並且工程建設耗費時間長及經費龐大。淹水警報是透過預測未來淹水深度及範圍,提早通知淹水區域民眾預先防範,以達到減災防災之效,發布淹水警報是非工程方法一項有效的手段。
    淹水模擬對於都市地區淹水,為一有效之評估方式,惟淹水模擬係屬連續性方程式演算,需先將完整雨量資料輸入後,連續計算後求得,目前氣象尚無法提供長時間之降雨型態預測,並且淹水模擬演算時程亦長,故難以透過淹水模擬,達成即時預測淹水範圍,進而發布警報做為防災之用。
    本文採用淹水模式進行模擬,於模式內輸入設計雨型,經淹水模擬求得降雨量與淹水面積相關資料。本研究之淹水模式採用淺水波方程式,同時模擬一維下水道水流和二維地表逕流,進行細緻化的都市淹水模擬。
    為能將淹水模擬結果應用於發布淹水警戒,本文嘗試透過大量淹水模擬,以計畫性的雨型設計,進行各種淹水模擬。再將各設計雨型之淹水模擬結果,分析出淹水歷程、退水歷程及其相應之淹水範圍進行數據分析,建立出降雨強度與淹水面積增加減少之關係式。在透過本研究建立之關係式,可由氣象局未來2小時之降雨預測,即時計算出相應之淹水面積,並透過淹水面積對應及淹水範圍圖,獲得淹水區域以進行淹水預警發布。
    關鍵字: 淹水預警、即時推估淹水範圍

    Due to extreme climate, the amount of rainfall and precipitation intensity have broken the records on a frequent basis. There was a limit to the flood and waterlogging control caused by extreme climate through previous engineering methods, moreover, the project construction takes a long time and costs a lot. In the aim of minimizing and preventing immediate damages caused by floods, flood alarm system is an effective non-engineering method that informs people in flooded areas to take precautions by estimating the water level and extent of a flood in real-time.
    Flood simulation is one of the most effective evaluation methods to assess floods in urban areas, whereas the input of complete rainfall data is a necessity to obtain the data after a series of calculations. The weather forecast nowadays does not offer predictions of long-term rainfall patterns, and accordingly, it is difficult to help predict how extensive and damaging a flood might become in real-time through flood simulation. Moreover, flood simulations require time-consuming computations.
    This paper applies the flooding model for flood simulation, and collect the relevant data of rainfall and detect flood areas through the simulation of different patterns of rain thereof. The flooding model uses the shallow water wave equation to simulate one-dimensional sewer flow and two-dimensional surface runoff, and then to carry out detailed urban flooding simulation.
    Various flooding simulations with programmatic design of rain patterns were carried out in this paper in order to apply the flood simulation results to flood alarm warning in real life. The processes of a flood, its subsidy, and the flooding range in the simulation were analyzed to establish the correlational formula between the precipitation intensity and the increase and decrease of the flooded area. The flooded area can be calculated in time from the weather forecast of rainfall in the next two hours released by the Central Weather Bureau; furthermore, alerts can be released for potentially flooded areas through the forecasting results of the flooded area.
    Key words: flood warning, real-time estimation of flood Scope

    中文摘要 I SUMMARY II 誌謝 V 目錄 VI 表目錄 VIII 圖目錄 IX 第1章、 緒論 1 1.1 研究動機 1 1.2 文獻回顧 2 1.2.1 機器學習 2 1.2.2 建立保護區域指標 3 1.2.3 數據統計分析 4 1.3 本文架構 6 第2章、 研究區域與研究構想 7 2.1 研究區域 7 2.2 研究構想 12 第3章、 研究方法 14 3.1 淹水模式 14 3.2 淹水模式GUI平台 18 3.2.1 淹水模擬 19 3.2.2 淹水影像展示 20 3.2.3 雨型設計功能 22 3.3 快速淹水面積推估方法 27 3.4 結果驗證 29 3.5 預警模式建立 34 第4章、 結果討論 36 4.1 基本假設驗證 36 4.1.1 淹水面積延時歷程一致驗證 36 4.1.2 同淹水面積淹水區域相同之驗證 37 4.1.3 降雨強度平衡淹水面積之驗證 41 4.1.4 淹水面積增量相同之驗證 42 4.1.5 相同淹水面積相同有效降雨淹水面積減少量相同之驗證 43 4.2 快速淹水面積推估建立方法 45 4.2.1 強降雨淹水模擬 45 4.2.2 淹水面積增量公式及使用 46 4.2.3 退水面積減量公式及使用 51 4.3 驗證結果 55 4.3.1 總降雨量550mm降雨延時10小時驗證結果 55 4.3.2 歷史雨量(20180823豪雨事件) 58 4.3.3 交替組體法(沙崙站-皮爾遜三型-25頻率年-10hr) 58 4.3.4 快速淹水面積推估方法於淹水預警之應用 59 第5章、 結論與建議 62 參考文獻 64 附錄 67

    參考文獻
    1. Bing-Chen Jhong , Jhih-Huang Wang , Gwo-Fong Lin(2017). An integrated two-stage support vector machine approach to forecast inundation maps during typhoons
    2. Chang-He Li; Keng-Weng Lao; Kam-Weng Tam (2018). A Flooding Warning System based on RFID Tag Array for Energy Facility
    3. Cioffi, Francesco ; Rosario Conticello, Federico ; Giannini, Mario ; Lapini, Tommaso ; Pirozzoli, Sergio ; Scotti, Vincenzo ; Telesca, Vito ; Tieghi, Lorenzo (2021). A downscaling model system for early warning flooding forecast
    4. Chenming Li, Jianhua Peng, Huibin Wang, Simon X.Yang (2017). A flood prediction method based on streaming big data processing
    5. D. Leedal, J. Neal, K. Beven, P. Young and P. Bates(2010). Visualization approaches for communicating real‐time flood forecasting level and inundation information
    6. Déborah Idier; Axel Aurouet; François Bachoc; Audrey Baills; José Betancourt; Jonathan Durand; Renaud Mouche; Jérémy Rohmer; Fabrice Gamboa; Thierry Klein; Jérôme Lambert; Gonéri Le Cozannet; Sylvestre Le Roy; Jessie Louisor; Rodrigo Pedreros; Anne-Lise Véron (2020). Toward a User-Based, Robust and Fast Running Method for Coastal Flooding Forecast, Early Warning, and Risk Prevention
    7. F.Siccardi, G.Boni, L.Ferraris, R.Rudari (2005). A hydrometeorological approach for probabilistic flood forecast
    8. Huei-Tau Ouyang(2018). Characteristics of adaptive network-based fuzzy inference system for typhoon inundation level forecast
    9. H.-Y. Shen and L.-C. Chang(2012).Online multistep-ahead inundation depth forecasts by recurrent NARX networks
    10. Jung Hwan Lee, Gi Moon Yuk, Hyeon Tae Moon, Young-Il Moon (2020). Integrated Flood Forecasting and Warning System against Flash Rainfall in the Small-Scaled Urban Stream
    11. Li-Chiu Chang, Fi-John Chang, Shun-Nien Yang, I-Feng Kao, Ying-Yu Ku, Chun-Ling Kuo, Ir. Mohd Zaki bin Mat Amin (2019). Building an Intelligent Hydroinformatics Integration Platform for Regional Flood Inundation Warning Systems
    12. Li-Chiu Chang Jia-Yi Liou Fi-John Chang(2022). Spatial-temporal Flood Inundation Nowcasts by Fusing Machine Learning Methods and Principal Component Analysis
    13. Li-Chiu Chang , Mohd Zaki M. Amin , Shun-Nien Yang and Fi-John Chang(2018). Building ANN-Based Regional Multi-Step-Ahead Flood Inundation Forecast Models
    14. Li-Chiu Chang a, Hung-Yu Shen, Yi-Fung Wang, Jing-Yu Huang, Yen-Tso Lin(2010). Clustering-based hybrid inundation model for forecasting flood inundation depths
    15.
    16. Mary Kilavi,Dave MacLeod,Maurine Ambani,Joanne Robbins Rutger Dankers,Richard Graham,Helen Titley,Abubakr A. M.Salih andMartin C. Todd (2018). Extreme Rainfall and Flooding over Central Kenya Including Nairobi City during the Long-Rains Season 2018: Causes, Predictability, and Potential for Early Warning and Actions
    17. Mohamed M.Morsy,Jonathan L.Goodall, Gina L.O'Neil,Jeffrey M.Sadler, DanielVoce, Gamal Hassan, Chris Huxley (2018). A cloud-based flood warning system for forecasting impacts to transportation infrastructure systems
    18. Niraj Lamichhane, Suresh Sharma (2017). Development of Flood Warning System and Flood Inundation Mapping Using Field Survey and LiDAR Data for the Grand River near the City of Painesville, Ohio
    19. 林敬賢。「洪水與淹水預警系統建置之探討-以新竹市為例」。碩士論文,國立交通大學,2015。
    20. 林嘉若。「豪雨期間淹水警戒水深與降雨特性之研究」。碩士論文,國立成功大學,2011。
    21. 陳昀瑛。「動態淹水預警之降雨門檻值的研究」。碩士論文,國立臺北科技大學,2011。
    22. 陳俊傑。「以時間序列社群文字分析建構災情通報預警之研究:以積淹水災情為例」。碩士論文,國立成功大學,2017。
    23. 陳(石勻)(女勻) 。「結合水理模式和機器學習法發展颱風淹水預警系統之研究」。碩士論文,國立臺灣大學,2018。
    24. 俞可昕。「台北市致災性降雨之都市洪災預警模擬與分析—以2019年午後對流降雨為例」。碩士論文,國立臺灣大學,2021。
    25. 姜政成。「都會區內澇淹水警戒值之研究」。碩士論文,國立臺灣大學,2014。
    26. 張惟恩。「積淹水指標之研究」。碩士論文,國立成功大學,2019。
    27. 黃法誠。運用羅吉斯迴歸建立都市淹水預警模型 -以桃園市中壢區為例」。碩士論文,逢甲大學,2020。
    28. 許家銘。「淹水預警之研究」。碩士論文,中國科技大學,2010。
    29. 鄭功宏。「智慧化社區淹水預警資訊系統之研究」。碩士論文,華夏技術學院,2012。

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