在過去的二十年中，使用 OS 方法模擬降雨、逕流到下水道的流動過程，已 經成為主要的都市淹水風險分析方法。然而，在不考慮側溝功能的情況下，必須 透過簡化的假設管路將地表水引入下水道。這些簡化過程導致淹水模擬的不準確。
為了克服這個問題，本研究中提出了 OGS 方法，通過將 GFM 與 OFM 和 SFM 完全耦 合的方式，完全模擬地表、側溝和下水道層之間的水流傳輸關係。分別以 1993 年 和 2015 年在台北市發生的兩次淹水事件進行模擬，並與 OS 方法得出的結果進行 比較。
在模式驗證中，以 OS 與 OGS 兩種方法模擬輕微降雨事件的淹水程度相當類 似，但在模擬嚴重降雨事件時，OS 方法大幅低估的淹水範圍。此乃因為沒有側溝 的緩衝時，地表水直接由假設的入水口進入下水道管，過度排水的現象所造成。
與 OS 方法相比，藉由 OGS 方法模擬的淹水範圍命中率提高了 27%。OGS 方法顯 示，地表排水效率受側溝及下水道之間連接管的能力限制，若連接管的密度不足，
流入側溝的地表水往往而冒管返回地表面，而無法排入下水道。如此的現象隨著 降雨增加而更加劇烈。
總體而言，本研究顯示良好的側溝系統，對於提高排水效率是非常重要的。
側溝組成元件，包括入水口的分佈、渠道的幾何形狀和連接管的容量等，都必須 共同發揮作用以產生最佳性能。雖然加入側溝模組之後，模擬時間可能大幅增加，
可能不適用於洪水預報和預警等情況，此時以 OS 方法較為適用，因為總體洪水 模式比局部洪水詳情更加重要(e.g. Bermudez et al. , 2018; Mahmoodian et al. ,2018)。但在某些情況下，例如特定方案的工程設計等，當準確性勝過及時
性時，以含側溝流模組的 OGS 方法進行耦合淹水模擬，對於評估淹水產生的原因 和排水系統的效能，有其必要性。
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108年度專題研究計畫成果彙整表
1.Jin-Cheng Fu, Hsiao-Yun Huang, Jiun-Huei Jang, Pei-Hsun Huang (2019, Oct). River stage
forecasting using multiple additive regression trees. Water Resources Management, 33, 4491-4507. (SCI, 24/132, Engineering, Civil). MOST 108-2625-M-006-008. 本人為通訊作者.
2.Jiun-Huei Jang, Chi-Tai Hsieh, Tien-Hao Chang (2019, Oct). The importance of gully flow modelling to urban flood simulation. Urban Water Journal, 16(5), 377-388.
(SCI, 43/91, Water Resources). MOST 107-2119-M-006-006. 本人為第一作者
、通訊作者.
研討會論文 2
1.Jiun-Huei Jang, Tse-Wei Li (2019, Nov). Flood detection and forecast by IoT technology. 22nd Congress of the International Association for Hydro-Environment Engineering and Research – Asia and Pacific Division (IAHR-APD), Sapporo, Japan. MOST 108-2119-M-006-005. 本 人為第一作者.
2.Jiun-Huei Jang (2019, Jul).
Analyzing the Influence of Gully on Urban Flooding through Coupled Overland-Gully-Sewer Flow Model.
AOGS 16th Annual Meeting,
Singapore. MOST 108-2119-M-006-005.
本人為第一作者、通訊作者.
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