科技農業:多元遙測影像AI辨識於農作溫室氣體排放評估【土木工程學系/蔡慧萍 副教授】
論文篇名 | 英文:Integration of UAV Digital Surface Model and HEC-HMS Hydrological Model System in iRIC Hydrological Simulation—A Case Study of Wu River 中文:整合UAV數值地表模型與HEC-HMS水文模型系統於iRIC水文模擬-以烏溪為例 |
期刊名稱 | Drones |
發表年份,卷數,起迄頁數 | 2024,8(5), 178 |
作者 | Huang, Yen-Po; Tsai, Hui-Ping(蔡慧萍)*; Chiang, Li-Chi |
DOI | 10.3390/drones8050178 |
中文摘要 | 本研究探討無人機產製的數值地表模型(UAV-DSM)對於水文模擬評估淹水深度的助益。研究區域為台灣中部歷史上容易發生洪水的烏溪中下游地區,以HEC-HMS進行水文流量計算,再與不同解析度的UAV產製之數值地表模型(DSM)整合,以iRIC水文模擬進行淹水深度評估。整體而言,建立的水文模擬成效佳,評估指標Nash–Sutcliffe efficiency效率係數超過0.88,洪峰流量差低於5%,表示適用性高。在iRIC水文模擬中,使用2m解析度UAV-DSM獲得淹水模擬最佳結果,後續本研究也能應用於不同重現期距的降雨淹水模擬。此研究強調將UAV-DSM整合於iRIC水文模擬的功效,為防洪管理提供精確的淹水深度評估。 |
英文摘要 | This research investigates flood susceptibility in the mid- and downstream areas of Taiwan’s Wu River, historically prone to flooding in central Taiwan. The study integrates the Hydrologic Engineering Center—Hydrologic Modeling System (HEC-HMS) for flow simulations with unmanned aerial vehicle (UAV)-derived digital surface models (DSMs) at varying resolutions. Flood simulations, executed through the International River Interface Cooperative (iRIC), assess flood depths using diverse DSM resolutions. Notably, HEC-HMS simulations exhibit commendable Nash–Sutcliffe efficiency (NSE) exceeding 0.88 and a peak flow percentage error (PEPF) below 5%, indicating excellent suitability. In iRIC flood simulations, optimal results emerge with a 2 m resolution UAV-DSM. Furthermore, the study incorporates rainfall data at different recurrence intervals in iRIC flood simulations, presenting an alternative flood modeling approach. This research underscores the efficacy of integrating UAV-DSM into iRIC flood simulations, enabling precise flood depth assessment and risk analysis for flood control management. |
發表成果與本中心研究主題相關性 | 透過UAV產製的數值地表模型配合水文模擬,可應用於農地淹水評估之分析。 |