Daily operation of a multipurpose reservoir system

Yazıcıgil, Hasan; Houck, Mark H.; Toebes, G. H.

doi:10.1029/wr019i001p00001

Cited by 41 publications

(21 citation statements)

References 4 publications

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“…Models for long range planning of river basin development using implicit and explicit stochastic streamflow models have been proposed for more than 20 years (e.g., see Houck and Cohon, 1978). Strategies ranging from expert systems to optimization and simulation modeling for incorporating forecast information into real-time operations of complex, multipurpose water resource systems have also been widely developed (e.g., Palmer, et al, 1982;Yazicigil, et al, 1983;Houck, 1992;Sheer, et al, 1992). However, probabilistic tools in general have achieved only limited penetration into the daily world of water resource decision-makers.…”

Section: Acknowledgementmentioning

confidence: 99%

Weather Forecasts are for Wimps: Why Water Resource Managers Do Not Use Climate Forecasts

2005

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Section: Acknowledgementmentioning

confidence: 99%

Weather Forecasts are for Wimps: Why Water Resource Managers Do Not Use Climate Forecasts

2005

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“…The HEC-5 model is considered to be the best documented tool for reservoir simulation of flood and conservation systems [Yeh, 1985]. A significant quantity of work has been published regarding flood operation on reservoirs [Hydrologic Engineering Center, 1976;Sigvaldason, 1976;Yazicigil et al, 1983;Unver and Mays, 1990;Marien et al, 1994;Chang and Chen, 1998;Karbowski et al, 2005;Chang and Chang, 2006;Hsu and Wei, 2007]. However, little literature is available on an early warning model for floods during typhoon attacks, especially considering decision making under uncertainty.…”

Section: Statement Of the Problemmentioning

confidence: 99%

Real‐time reservoir flood operation during typhoon attacks

Wei-liang

Hsieh

2010

Water Resources Research

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[1] This paper introduces an early warning model for floods for real-time reservoir operation during typhoons. The model contains three main parts: (a) "flood watch" to monitor the current flood situation, (b) "flood release" to estimate probable reservoir releases in the near future, and (c) "decision analysis" to determine an appropriate release policy. A new flood alert index is defined to account for risk and is used to augment reservoir flood operation. In this study, a genetic algorithm-based rule is presented to specify suitable releases in response to the nature of flood inflows and reservoir water level. To demonstrate the procedure, the proposed method was successfully used in a real reservoir in northern Taiwan. The implementation of such a model proves that it can assist reservoir operators in taking timely action during typhoon events. Statement of the Problem[2] Typhoons greatly influence people's lives in Taiwan and generally occur from July through October. The occurrence of major typhoon-borne floods and consequent damage is highly erratic. Implementing effective measures to prevent damage caused by typhoons represents an important task for the government. In addition, the rainfall brought by typhoons is substantial. A typical typhoon is associated with 200-600 mm of rainfall on the island, which is roughly equal to 8%-24% of the annual average rainfall. Accordingly, when a drought lasts for a prolonged period, typhoons with accompanying rainfall are expected to ease the situation.[3] Flooding is a challenge to reservoir operators. When a storm alert is announced, operators need to make a serious decision regarding how much flood water should be released from the reservoir. The operators have to protect both the reservoir itself and the downstream reach and must preserve sufficient water for future use. Obviously, a reservoir built in a typhoon-prone area should be considered for its potential to alleviate some of the typhoon-related problems. The HEC-5 model is considered to be the best documented tool for reservoir simulation of flood and conservation systems [Yeh, 1985]. A significant quantity of work has been published regarding flood operation on reservoirs [Hydrologic Engineering Center, 1976;Sigvaldason, 1976;Yazicigil et al., 1983;Unver and Mays, 1990;Marien et al., 1994;Chang and Chen, 1998;Karbowski et al., 2005;Chang and Chang, 2006;Hsu and Wei, 2007]. However, little literature is available on an early warning model for floods during typhoon attacks, especially considering decision making under uncertainty.[4] Making decisions is not an easy task when there is uncertainty. The timing for appropriate releases of flood waters is imperative. To take into account the variability of incoming inflows, reservoir operators have difficulty operating reservoir releases properly, particularly at the onset of the typhoon season. Decisions regarding when and how to release water are crucial for real-time flood operation because a prolonged mismatch between the required and the actual reservoir s...

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“…In this paper brief and relevant literature review is presented in the form of various themes. Yazicigil et al (1983) demonstrated a real time operation model on daily basis for Green river basin with four reservoirs. The primary purpose of the reservoir system was flood control with recreation and low flow augmentation as secondary purposes.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal Reservoir Operation for Flood Control Using Folded Dynamic Programming

Kumar

Baliarsingh

Raju

2009

Water Resour Manage

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Folded Dynamic Programming (FDP) is adopted for developing optimal reservoir operation policies for flood control. It is applied to a case study of Hirakud Reservoir in Mahanadi basin, India with the objective of deriving optimal policy for flood control. The river flows down to Naraj, the head of delta where a major city is located and finally joins the Bay of Bengal. As Hirakud reservoir is on the upstream side of delta area in the basin, it plays an important role in alleviating the severity of the flood for this area. Data of 68 floods such as peaks of inflow hydrograph, peak of outflow from reservoir during each flood, peak of flow hydrograph at Naraj and d/s catchment contribution are utilized. The combinations of 51, 54, 57 thousand cumecs as peak inflow into reservoir and 25.5, 20, 14 thousand cumecs respectively as peak d/s catchment contribution form the critical combinations for flood situation. It is observed that the combination of 57 thousand cumecs of inflow into reservoir and 14 thousand cumecs for d/s catchment contribution is the most critical among the critical combinations of flow series. The method proposed can be extended to similar situations for deriving reservoir operating policies for flood control.

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Daily operation of a multipurpose reservoir system

Cited by 41 publications

References 4 publications

Weather Forecasts are for Wimps: Why Water Resource Managers Do Not Use Climate Forecasts

Weather Forecasts are for Wimps: Why Water Resource Managers Do Not Use Climate Forecasts

Real‐time reservoir flood operation during typhoon attacks

Optimal Reservoir Operation for Flood Control Using Folded Dynamic Programming

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