Water Resources Systems Analysis

Karamouz, ‪Mohammad; Szidarovszky, Ferenc; Zahraie, Banafsheh

doi:10.1201/9780203499436

Cited by 109 publications

(50 citation statements)

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“…Therefore how to manage water resources in an effective manner in highly urbanized regions tends to be increasingly urgent. That is why water demand management comes to be an appropriate strategy aiming to effective and sustainable urban water consumption in terms of economy and environment [ Wegelin‐Schuringa , 2000], and which hinges on good knowledge of temporal changes of historical and future water consumption [ Karamouz et al , 2003]. Numerous literatures addressed changing patterns, driving factors, trends, and possible forecast of urban water use [e.g., Memon and Butler , 2006].…”

Section: Introductionmentioning

confidence: 99%

Statistical modeling of daily urban water consumption in Hong Kong: Trend, changing patterns, and forecast

Wong

Qiang

Chen

2010

Water Resources Research

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[1] This study attempted to address statistical properties and forecast of daily urban water consumption in Hong Kong from 1990 to 2007. A statistical model was formulated to differentiate the effects of five factors on water use, i.e., trend, seasonality, climatic regression, calendar effect, and autoregression. The postulate of the statistical model is that total water use is made up of base, seasonal, and calendrical water use. Daily urban water consumption in Hong Kong from 1990 to 2001 was modeled and the developed statistical model explains 83% of the variance with six factors: trend (8%), seasonality (27%), climatic regression (2%), day-of-the-week effect (17%), holiday effect (17%), and autoregression (12%). The model was further validated using an independent data set from 2002 to 2007, yielding a R 2 of 76%. The results indicated good performance of the developed statistical model in depicting the temporal variations of the urban water use in Hong Kong, offering an improved insight into urban utilization of water resources and acting as the theoretical support for effective urban water resource management in Hong Kong under the changing environment.

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Section: Introductionmentioning

confidence: 99%

Statistical modeling of daily urban water consumption in Hong Kong: Trend, changing patterns, and forecast

Wong

Qiang

Chen

2010

Water Resources Research

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“…Therefore, there is a need to incorporate multiple purposes and analyze the problem in a multiobjective method under fuzzy environment. A comprehensive review of existing studies [ Yi , ; Karamouz et al ., ; Finardi and da Silva , ; Sousa et al ., ; Yi et al ., ; Truffer et al ., ] indicates that there is no single model available that concurrently addresses unit commitment, uncertain decision maker preferences, and enforced water quality compliance standards. This study proposes new multiobjective fuzzy mathematical programming models with one of the models deriving motivation from Reardon method used for solution of multiobjective genetic algorithms.…”

Section: Multiobjective Reservoir Optimization Modelsmentioning

confidence: 99%

“…Hydropower reservoir operations require the definition of which units (i.e., turbines and generators) are to be committed considering operational, system and security constraints [ Yi , ; Karamouz et al ., ]. Optimal unit commitment involves scheduling the available turbines (i.e., units) to maximize power generation based on operating conditions, individual turbine‐generator efficiency, system head and water releases for other uses [ Finardi and da Silva , ; Sousa et al ., ; Wood and Wollenberg , ].…”

Section: Mathematical Programming Model Formulationsmentioning

confidence: 99%

Fuzzy multiobjective models for optimal operation of a hydropower system

Teegavarapu

Ferreira²,

Simonović́

2013

Water Resour. Res.

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[1] Optimal operation models for a hydropower system using new fuzzy multiobjective mathematical programming models are developed and evaluated in this study. The models use (i) mixed integer nonlinear programming (MINLP) with binary variables and (ii) integrate a new turbine unit commitment formulation along with water quality constraints used for evaluation of reservoir downstream impairment. Reardon method used in solution of genetic algorithm optimization problems forms the basis for development of a new fuzzy multiobjective hydropower system optimization model with creation of Reardon type fuzzy membership functions. The models are applied to a real-life hydropower reservoir system in Brazil. Genetic Algorithms (GAs) are used to (i) solve the optimization formulations to avoid computational intractability and combinatorial problems associated with binary variables in unit commitment, (ii) efficiently address Reardon method formulations, and (iii) deal with local optimal solutions obtained from the use of traditional gradient-based solvers. Decision maker's preferences are incorporated within fuzzy mathematical programming formulations to obtain compromise operating rules for a multiobjective reservoir operation problem dominated by conflicting goals of energy production, water quality and conservation releases. Results provide insight into compromise operation rules obtained using the new Reardon fuzzy multiobjective optimization framework and confirm its applicability to a variety of multiobjective water resources problems.Citation: Teegavarapu, R. S. V., A. R. Ferreira, and S. P. Simonovic (2013), Fuzzy multiobjective models for optimal operation of a hydropower system, Water Resour. Res., 49,[3180][3181][3182][3183][3184][3185][3186][3187][3188][3189][3190][3191][3192][3193]

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“…Moreover, in the network modeling the system, the arc can be weighted with costs in order to evaluate the strategies and take decisions improving the management. The cost values defined in the MOCG block depends on cost-benefit analysis including an estimation of the costs of the various water usages and risks (Karamouz et al, 2003;Loucks et al, 2005). The costs definition in the objective function relies on:…”

Section: Management Objectives and Constraints Generation (Mocg) Blockmentioning

confidence: 99%

“…Most of these methods do not allow controlling the duration of water storage in the reservoir, the storage and release dates... In order to improve the managers' decisions during these abrupt climatic phenomena, optimization techniques were proposed such as linear programming (Karamouz et al, 2003), fuzzy optimization (Fu, 2008), and multi-objective optimization (Chuntian and Chau, 2002). Herein, a supervisory control scheme is proposed to handle the water volumes.…”

Section: Introductionmentioning

confidence: 99%

Contribution to a flood situation management: a supervisory control scheme to reduce disaster impact

2015

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Inundations due to river overflows are becoming more frequent; management of flood is thus an important task belonging to the set of preventive measures allowing the protection of people and goods downstream. The flood situation management method proposed in this paper was designed to reduce the flood impact at its early arising stage. The river is supposed to be equipped with reservoirs in which water excesses are stored and then released only when the flood episode ends. The supervisory control scheme allows calculation of the water volumes through the use of a network flow. Management objectives, such as the maximum discharge level allowed in the river, the order of priority for the reservoir storage or release, the measured levels and discharge in the river and in the reservoirs, and the assessed parameters such as time delays, are combined to configure the network flow. Then, the optimal flow in the network is computed and supplies the reservoirs’ gate opening setpoints. Finally, the method was applied to a simulated case for which the time delay during the flood varied and remained efficient for flood attenuation compared with the case when the gates were always open, thanks to the network configuration.

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Water Resources Systems Analysis

Cited by 109 publications

References 0 publications

Statistical modeling of daily urban water consumption in Hong Kong: Trend, changing patterns, and forecast

Statistical modeling of daily urban water consumption in Hong Kong: Trend, changing patterns, and forecast

Fuzzy multiobjective models for optimal operation of a hydropower system

Contribution to a flood situation management: a supervisory control scheme to reduce disaster impact

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