• Title/Summary/Keyword: IDP(Incremental Dynamic Programming)

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Detention System Design Model with consideration of the rainfall distribution and mutual connection (강우 분포 및 상호 관련성을 고려한 유수체계 설계 모형)

  • Lee, Beom-Hui
    • The Journal of Engineering Research
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    • v.6 no.1
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    • pp.75-81
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    • 2004
  • To solve the urban flood problems, it must get the enough channel conveyances and pumping capacities. It needs set up the detention system to control the flow over the channel capacity. Inspite of this detention system, the peak flow may increased by rainfall distribution and the delay of flow. This shows a design model of detention system which can consider the time problems from mutual connections of the detention storages and pumping flow using IDP(Incremental Dynamic Programming) method.

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Development of Detention System Design Model with Consideration of the Rainfall Distribution and Mutual Connection (강우 분포 및 상호 관련성을 고려한 유수체계의 최적 설계 모형 개발)

  • Lee, BeumHee
    • Journal of the Korean Geophysical Society
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    • v.7 no.2
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    • pp.151-155
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    • 2004
  • To solve the urban flood problems, it must get the enough channel conveyances and pumping capacities. It needs set up the detention system to control the flow over the channel capacity. Inspite of this detention system, the peak flow may increased by rainfall distribution and the delay of flow. This shows a design model of detention system which can consider the time problems from mutual connections of the detention storages and pumping flow using IDP(Incremental Dynamic Programming) method.

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Optimal Design of Detention System using Incremental Dynamic Programming

  • Lee, Kil-Seong;Lee, Beum-Hee
    • Korean Journal of Hydrosciences
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    • v.7
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    • pp.61-75
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    • 1996
  • The purpose of this study is to develop an efficient model for the least cost design of multi-site detention systems. The IDP (Incremental Dynamic Programming) model for optimal design is composed of two sub-models : hydrologic-hydraulic model and optimization model. The objective function of IDP is the sum of costs ; acquisition cost of the land, construction cost of detention basin and pumping system. Model inputs include channel characteristics, hydrologic parameters, design storm, and cost function. The model is applied to the Jung-Rang Cheon basin in Seoul, a watershed with cetention basins in multiple branching channels. The application results show that the detention system can be designed reasonably for various conditions and the model can be applied to multi-site detention system design.

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Optimal Design of Datention System using Incremental Dynamic Programming (동적계획법을 이용한 유수체계의 최적설계)

  • 이길성;이범희
    • Water for future
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    • v.28 no.1
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    • pp.153-168
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    • 1995
  • The purpose of this study is to develop an efficient model for the least cost design of multisite detention systems. The IDP (Incremental Dynamic Programming) model for optimal design is composed of two sub-models: hydrologic - hydraulic model and optimization model. The objective function of IDP is the sum of costs; acquisition cost of the land, construction cost of detention basin and pumping system. Model inputs include channel characteristics, hydrologic paramenters, design storm, and cost function. The model is applied to the Jung- Rang Cheon basin in Seoul, a watershed with detention basins in multiple branching channels. The application results show that the detention system can be designed reasonably for various conditions and the model can be applied to multi-site detention system design.

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The Flood Control of the Namgang and Andong Reservoir System by an Optimization Procedure (최적화(最適化) 기법(技法)에 의한 남강(南江)-안동(安東)댐의 홍수조절(洪水調節))

  • Kim, Sheung Kown;Yoon, Yong Nam;Lee, Sung Yoon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.8 no.1
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    • pp.49-60
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    • 1988
  • The use of an Incremental Dynamic Programming (IDP) for real-time flood control operation is investigated. The optimization model has been applied for the Namgang and Andong hypothetical flood control system in the Nakdong river basin. The objective of the operation is defined to minimize the maximum flow at the confluence of downstreams from the two reservoirs. The results are compared to the direct summation of the flood routing results from individual flood control simulation run. It shows that peak flow at the confluence is reduced markedly by reducing peak outflows from individual reservoirs and by balancing the time of the peak release between the two reservoirs.

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