Basin/Reservoir System Integration for Real Time Reservoir Operation

Uysal, Gökçen; Şensoy, Aynur; Şorman, Ali Arda; Akgun, T.; Gezgin, Tolga

doi:10.1007/s11269-016-1242-9

Cited by 22 publications

(17 citation statements)

References 22 publications

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“…This model setup is the second part of the DSS, which links hydrological modelling and downstream flood inundation mapping. HEC‐ResSim is used for practical research studies in water resources management (Babazadeh et al ., ; USACE, ; Carmi‐Duren, ; USACE, ; Asefa, ; Marques and Tilmant, ; Uysal et al ., , ; Bhadra et al ., ; Nauditt et al ., ).…”

Section: Decision Support Framework Componentsmentioning

confidence: 97%

“…This model setup is the second part of the DSS, which links hydrological modelling and downstream flood inundation mapping. HEC-ResSim is used for practical research studies in water resources management (Babazadeh et al, 2007;USACE, 2007;Carmi-Duren, 2009;USACE, 2010;Asefa, 2011;Marques and Tilmant, 2013; Uysal et al, 2013Uysal et al, , 2016Bhadra et al, 2015;Nauditt et al, 2015). The physical and operational data that describe an operation plan or scheme are introduced into HEC-ResSim.…”

Section: Reservoir Simulation Using Hec-ressimmentioning

confidence: 99%

“…Accordingly, an operationally dynamic model is employed in HEC-ResSim. Considering these rules, a basin/reservoir system integration guiding the daily operation of a reservoir to meet water supply and flood protection objectives for Yuvacık Basin is developed, and the details of reservoir operation are broadly discussed by Uysal et al (2016). The outlet works of the reservoir consist of an intake structure for the water supply, a spillway located near the dam, a relief sluice for emergency purposes, and a conduit to maintain downstream low flow (minimum 50 l/s and maximum 300 l/s) between June and October.…”

Section: S875mentioning

confidence: 99%

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Developing a decision support framework for real‐time flood management using integrated models

Şensoy

Uysal

Şorman

2016

J Flood Risk Management

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Flood risk mitigation during real‐time flood events comprising snowmelt under hydrological uncertainty is particularly challenging. Giving this due consideration, the aim is to develop a Decision Support System (DSS) for the real‐time operation of a reservoir and the channel downstream. This was accomplished with continuous catchment monitoring, runoff forecasting, optimal reservoir decisions, river, and flood inundation analysis. The proposed DSS consists of four major components: (1) Supervisory Control and Data Acquisition (SCADA) system for real‐time monitoring; (2) Hydrologic Engineering Center (HEC) – Hydrological Modelling System (HMS) to simulate rainfall/snowmelt runoff process; (3) HEC – Reservoir Simulation System (ResSim) for operation of the controlled reservoir; and (4) HEC – River Analysis System (RAS) for two‐dimensional unsteady river analysis and flood inundation mapping. After the DSS is set up, a real‐time operation for an extreme case scenario was simulated to test the performance, and flood maps were generated. Yuvacık Dam Basin in Turkey has a robust gauge network but is rather limited in reservoir storage and downstream channel capacity. This is the basis for selection of the area in the study. Results show that the developed DSS is useful for forecasting and reservoir operations, in addition to serving as an early warning system.

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Section: Decision Support Framework Componentsmentioning

confidence: 97%

Section: Reservoir Simulation Using Hec-ressimmentioning

confidence: 99%

Section: S875mentioning

confidence: 99%

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Developing a decision support framework for real‐time flood management using integrated models

Şensoy

Uysal

Şorman

2016

J Flood Risk Management

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“…In this study, it is known that due to the climate change gives the impact to the decreasing of discharge and it is produced the better reservoir reliability if the reservoir operation pattern is more adaptive than the previous pattern. Hai et.al [7] expressed that the climate change did not only influence the yearly total discharge volume, but it will also change the monthly distribution pattern in a year and it will more happen the flood peak [8]. The real time of reservoir operation pattern can give the high reliability in protecting the drought and flood control.…”

Section: Introductionmentioning

confidence: 99%

Expansion of Irrigation Area Due to the Extreme Rainfall

2019

IJITEE

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This research intends to expand the irrigation area by taking advantages of extreme rainfall. The methodology consists of determining the consumptive use of crop, rainfall day and the probability of event, rainfall that is used for cropping, consumptive use of crop when there is happened the extreme rainfall on climate anomaly, and cropping area. To be believed that rainfall that is dropped when positive SOI and negative dipole on climate anomaly will be more than the general rainfall on the same month. The rainfall that is dropped in the catchment area gives the effect to the reservoir inflow and that is dropped in the agricultural area will give the effect to the irrigation water supply. The result shows that the difference between water demand in the normal year and in the climate anomaly period can be used to expand the cropping area.

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“…The reservoir operation pattern due to the real time can give the high reliability in protecting drought and flood control. Uysal et.al [6] developed the Decision Support System of reservoir operation pattern [7] due to the real time for determining the water volume that is saved or released by operating the available radial gate. An amount of water volume is released before the flood is happened without exceeding the river capacity in the downstream reservoir emptying as the function for reducing flood and after that the gate is closed back so the reservoir can be full back to fulfill the function as the raw water supplier.…”

Section: Introductionmentioning

confidence: 99%

The Scenario of Rainfall-Discharge for Supporting the Optimization of Irrigation Reservoir Operation to Anticipate Extreme Flood

Efendi¹,

Limantara*²,

Soetopo³

et al. 2019

IJRTE

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This research intends to build a scenario of mathematical modeling that can follow up the information of extreme climate does not give the same impact (mainly rainfall), so the water volume when the extreme rainfall will be happened, can be used for the irrigation and the water that cannot be used can be removed from the reservoir before flooding is happened, therefore, the function of reservoir to reduce flood can be increasing. The methodology consists of to obtain the rainfall due to the weather anomaly, the relation between rainfall and reservoir inflow, the decreasing of irrigation water requirement when the rainfall is high, the usage of crop intensity increasing, design flood, and the outlet capacity, the pattern of reservoir operation, the comparison of crop intensity, and the decreasing of flood risk. The result is hoped to be able to increase the available infrastructure (dam) by increasing the function of flood control and it remains to give priority for irrigation through the reservoir

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Basin/Reservoir System Integration for Real Time Reservoir Operation

Cited by 22 publications

References 22 publications

Developing a decision support framework for real‐time flood management using integrated models

Developing a decision support framework for real‐time flood management using integrated models

Expansion of Irrigation Area Due to the Extreme Rainfall

The Scenario of Rainfall-Discharge for Supporting the Optimization of Irrigation Reservoir Operation to Anticipate Extreme Flood

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