The Development and Research on Optimization Model of Reservoir Flood Operation (III)-1

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Project title

Code/計畫編號

NSC102-2625-M002-005

Translated Name/計畫中文名

流域水情模擬與預報模式精度與效能提升之研究--子計畫:水庫排洪最佳即時操作模式之研發(III)-1

Project Coordinator/計畫主持人

Chih-Chiang Wei

Funding Organization/主管機關

National Science and Technology Council

Co-Investigator(s)/共同執行人

徐年盛

Department/Unit

Department of Marine Environmental Informatics

Website

https://www.grb.gov.tw/search/planDetail?id=3111779

Year

2013

Start date/計畫起

01-08-2013

Expected Completion/計畫迄

01-07-2014

Bugetid/研究經費

678千元

ResearchField/研究領域

土木水利工程

本計畫擬以三年為期探討水庫放水對下游河道洪水位之影響，發展水庫排洪最佳即時操作模式、智慧型水庫即時操作模式以及水庫排洪即時操作規則曲面。本計畫將利用水文即時及預報資料進行水庫排洪最佳即時操作，以決定水庫最佳即時放水量。本子計畫之研究成果與其他子計畫整合後，即可建立一整套之水庫排洪最佳即時操作與下游河道放水預報模式。本計畫之工作流程包括三大部份，分別為資料蒐集、操作模式建立與驗證以及實例應用測試，各部分之工作項目可分為三年度進行，第一年為水文等相關資料之蒐集、水庫排洪最佳即時操作模式之建立、水庫排洪最佳即時操作模式之驗證與測試；第二年為應用第一年水庫最佳操作優選模式進行整場歷史事件最佳操作歷線之優選、應用調適性網路模糊推論系統 (ANFIS)配合最佳操作歷線建構智慧型操作模式、ANFIS 智慧型水庫操作模式之驗證與測試；以及第三年為應用第一年水庫最佳操作優選模式進行整場歷史事件最佳操作歷線之優選、應用三維規則曲面(three-dimensional rule surface)配合最佳操作歷線制訂水庫防洪即時操作規則曲面、防洪操作規則曲面之驗證與測試。本計畫以曾文溪流域為範例，建立水庫排洪最佳即時操作模式、智慧型水庫即時操作模式與水庫排洪即時操作規則曲面。目前在第二年執行期間，已有初步成果，預計今年度可投稿兩篇國際期刊論文(SCI與 EI)。 We are proposing a three-year project. The major purpose of the project is to analyze the influence of reservoir releases on stages at the downstream stations during a flood. Additionally, it is proposed to develop three kinds of real-time reservoir operation models using the approach of optimization, artificial intelligent and three-dimensional rule surface for flood control. Using the real-time observations and forecast hydrological information, the developed operation models can be used to determine the reservoir real-time releases during the flood. Furthermore, using the results obtained from the proposed project and other related projects will allow us to establish a reservoir flood control operations and downstream river flood forecasting model for a river basin. The tasks to be carried out can be grouped into the following three general categories: (1) data collection, (2) model development and verification, and (3) model application on actual typhoon events. The specific tasks to be carried out in the first year of the project are (1) collection of data, (2) development of real-time optimal operation model for flood-control, and (3) verification of the model. In the second year, the tasks are (1) optimizing best operation hydrograph in each flood event, (2) applying Adaptive Network-based Fuzzy Inference System (ANFIS) with best operation hydrograph for model construction of intelligent real-time reservoir operation, and (3) verification of the model. In the third year, the tasks are (1) applying three-dimensional rule surface with best operation hydrograph for establishing reservoir real-time operation decision model, and (2) verification of the model. The developed methodology will be applied for Tsengwen Reservoir in the Tsengwen river basin. The results obtained from the three developed real-time reservoir operation models, namely RES-RTO, RES-Int and RES-RS will provide the optimal real-time reservoir releases. At present, we are in the half of the second year, but we already have some research outcome. We expect to submit two international journal papers from the research outcome of second year. (SCI and EI)

Keyword(s)

洪水控制
水庫即時操作
優選
人工智慧
規則曲面
flood control
reservoir real-time operation
optimization
artificial intelligence
rule surface

DSpace CRIS

The Development and Research on Optimization Model of Reservoir Flood Operation (III)-1

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