Nonstructural Flood Control using Multi-reservoir Operation
DOI:
https://doi.org/10.24203/ajfam.v5i2.4668Keywords:
Multi-reservoir operation, Simulation, Optimization, Hydraulic flow routing, PSOAbstract
Nonstructural flood damage minimization through optimizing a short term multi-reservoir system operation is considered in this paper using a simulation-based optimization model. The well known evolutionary computation technique of particle swarm optimization (PSO) has been combined with a simulation model of river flood routing. The hydraulic routing model includes numerical solution of unsteady gradually varied flow equations by Preissmann method. The developed model has been used in a three-reservoir system as a real case study southwest of Iran. The results show applicability and efficiency of the proposed simulation-optimization model in determining optimal reservoir releases.
References
Windsor, J. S. Optimization model for the operation of flood control systems, Water Resources Research, 9: 1219-1226, 1973.
Yazicigil, H. Optimal operation of a reservoir system using forecasts, Ph.D. Dissertation, Purdue University, West Lafayette, 1980.
Wasimi, S. A. and Kitanidis, P. K. Real-time forecasting and daily operation of a multi-reservoir system during floods by linear quadratic Gaussian control, Water Resources Research, 19: 1511-1522, 1983.
Can, E. K. and Houck, M. H. Real-time reservoir operations by goal programming, Journal of Water Resources Planning and Management, ASCE, 110: 297-309, 1984.
Loaiciga, H. and Marino, M. An approach to parameter estimation and stochastic control in water resources with an application to reservoir operation, Water Resources Research, 21(11): 1575–1584, 1985.
Karbowski, A., Optimal flood control in multi-reservoir cascade systems with deterministic inflow forecasts, Water Resources Management, 7: 207-223, 1993.
Niewiadomska-Szynkiewicz, E., Malinowski, M. and Karbowski, A. Predictive methods for real-time control of flood operation of a multi-reservoir system: methodology and comparative study, Water Resources Research, 32 (9): 2885–2895, 1996.
Niewiadomska-Szynkiewicz, E. and Napiorkowski, J. Application of global optimization methods to operational control of multi-reservoir systems, 3rd International Conference on Hydro-Science and Engineering (ICHE), Brandenburg University of Technology at Cottbus, Germany, 1998.
Goppert H., Ihringer, J., Plate, E.J. and Morgenschwei, G. Flood forecast model for improved reservoir management in the Lenne River catchment, Germany, Hydrological Sciences-Journal-des Sciences Hydrologiques, 43(2): 215-242, 1998.
Zagona, E. A., Fulp, T. J., Goranflo, H. M. and Shane, R. M. RiverWare: A general river and reservoir modeling environment., Proc. 1st Federal Interagency Hydrologic Modeling Conf., 113–120, 1998.
Biddle, S. H. RiverWare applications at TVA., Proc. ASCE Water Power Conference, ASCE, Reston, Va. , 1999.
Cheng, C. Fuzzy optimal model for the flood control system of the upper and middle reaches of the Yangtze River, Hydrological Sciences, 44(4): 573-582, 1999.
Shim, K. C. and Shim, S. B. Optimal predictive flood control for river-reservoir operation system, Proceedings (Abstract Volume) of the XXVIIIth IAHR Congress, p. 435, Paper on CD ROM, Graz, 1999.
Needham, J., Watkins, D., Lund, J. and Nanda, S. Linear programming for flood control on the Iowa and Des Moines Rivers., Journal of Water Resources Planning and Management, ASCE, 126(3): 118–127, 2000.
Shim, K. C. Spatial decision support system for integrated river basin flood control, Ph.D. Dissertation, Dept. of Civil Engineering, Colorado State Univ., Ft. Collins, Colo. , 1999.
Shim, K. C., Fontane, D. G. and Labadie, J. W. Spatial decision support system for integrated river basin flood control, Journal of Water Resources Planning and Management, ASCE, 128(3): 190–201, 2002.
Niewiadomska-Szynkiewicz, E. Software environment for simulation of flood control in multiple-reservoir systems, 5th International Conference on Hydro-Science and Engineering (ICHE), Faculty of Environmental Engineering, Warsaw University of Technology, 2002.
Niewiadomska-Szynkiewicz, E. FC-MWS: A software environment for flood operation in multi-reservoir systems, Acta Geophysica Polonica, 52(1): 91-103, 2004b.
Niewiadomska-Szynkiewicz, E. Computer simulation of flood operation in multi-reservoir systems, Simulation, 80(2): 101-116, 2004a.
Niewiadomska-Szynkiewicz, E., Karpowicz, Michal and Kozakiewicz, A. Application of grid technologies to multi-reservoir systems management during flood, Acta Geophysica Polonica, 53(4): 473-485, 2005.
Wei, C.-C. and Hsu, N.-S. Multi-reservoir Flood-Control Optimization with Neural-Based Linear Channel Level Routing Under Tidal Effects, Water Resources Management, 22: 1625-1647, 2008a.
Wei, C.-C. and Hsu, N.-S. Multi-reservoir real-time operations for flood control using balanced water level index method, Journal of Environmental Management, 88: 1624-1639, 2008b.
Choudhury, P. Reservoir flood control operation model incorporating multiple uncontrolled water flows, Lakes & Reservoirs: Research and Management 15: 153–163, 2010.
Saavedra Valeriano, O., Koike, T., Yang, K. and Yang D. Optimal dam operation during flood season using a distributed hydrological model and a heuristic algorithm, Journal of Hydrological Engineering, ASCE, 15: 580-586, 2010.
Dysarz, T. and Napiorkowski, J.J. Determination of reservoir decision rules during flood, Acta Geophysica Polonica, 50(1): 135-149, 2002a.
Dysarz, T. and Napiorkowski, J.J. Global optimization method for determination of reservoir decision rules during flood, 5th International Conference on Hydro-Science and Engineering (ICHE), Faculty of Environmental Engineering, Warsaw University of Technology, 2002b.
Dessalegne, T., Nicklow, J. and Minder, E. Evolutionary computation to control unnatural water level fluctuations in multi-reservoir river systems, River Research and Applications, 20: 619–634, 2004.
Napiorkowski , J.J. and Dysarz, T. Decision Support System for flood control in transboundary Nysa Klodzka catchment, Integrated Water Management of Transboundary Catchment-A Contribution from TRANSACT, Conference Proceedings, Venice, Italy, 24-26 March, 2004.
Malekmohammadi, B., Zahraie, B. and Kerachian, R. A real-time operation optimization model for flood management in river-reservoir systems, Journal of Natural Hazards, 53: 459-482, 2010.
Malekmohammadi, B., Zahraie, B. and Kerachian, R. Ranking solutions of multi-objective reservoir operation optimization models using multi-criteria decision analysis, Expert Systems with Applications, 38: 7851–7863, 2011.
Bayat, B., Mousavi, S. J. and Montazeri Namin, M. Optimization-simulation for short-term reservoir operation under flooding conditions, Journal of Water Supply: Research and Technology-AQUA, 60.7: 434-447, 2011.
Cunge, J.A., Holly F.M. and Verwey, A. Practical aspects of computational river hydraulics, Pitman publishing Inc. 1980.
Eberhart, R. C., Simpson, P. and Dobbins, R. Computational intelligence PC tools, Academic Press, 1996.
Parsopoulos, K. E. and Vrahatis, M. N. Recent approaches to global optimization problems through particle swarm optimization, Natural Computing, 1: 235-306, 2002.
Shourian, M., Mousavi, S. J., Menhaj, M. and Jabbari, E. Neural network-based simulation-optimization model for optimal water allocation planning at basin scale, Journal of Hydroinformatics, IWA, 10(4): 331-343, 2008a.
Shourian, M., Mousavi, S. J. and Tahershamsi, A. Basin-wide water allocation planning by integrating PSO algorithm and ModSim, Journal of Water Resources Management, 22(10): 1347-1366, 2008b.
Mousavi, S.J. and Shourian, M. Adaptive sequentially space filling meta-modeling for optimal water-quantity allocation at basin scale, Water Resources Research, vol. 46, W03520, doi: 10.1029/2008WR007076, 2010a.
Mousavi, S. J. and Shourian, M. Capacity optimization of hydropower storage projects using particle swarm optimization algorithm, Journal of Hydroinformatics, IWA, 12: 275-291, 2010b.
Baltar, A. M. and Fontane, D. Use of Multiobjective Particle Swarm Optimization in Water Resources Management, Journal of Water Resources Planning and Management, 134 (3): 257-265, 2008.
Afshar, M.H. Rebirthing particle swarm optimization algorithm: application to storm water network design, Can. J. Civ. Eng. 35(10): 1120–1127, 2008.
Bakhtyar, R. and Barry, D.A. Optimization of cascade stilling basins using GA and PSO approaches, Journal of Hydroinformatics, 11(2): 119-132, 2008.
Duttaa, D., Herath, S. and Musiake, K. A mathematical model for flood loss estimation, Journal of Hydrology, 277, pp24–49, 2003.
Water Research Institute Report on dam break studies on Dez, Karun and Karkheh river-reservoir systems, 2010.
Downloads
Published
How to Cite
Issue
Section
License
- Papers must be submitted on the understanding that they have not been published elsewhere (except in the form of an abstract or as part of a published lecture, review, or thesis) and are not currently under consideration by another journal published by any other publisher.
- It is also the authors responsibility to ensure that the articles emanating from a particular source are submitted with the necessary approval.
- The authors warrant that the paper is original and that he/she is the author of the paper, except for material that is clearly identified as to its original source, with permission notices from the copyright owners where required.
- The authors ensure that all the references carefully and they are accurate in the text as well as in the list of references (and vice versa).
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Attribution-NonCommercial 4.0 International that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
- The journal/publisher is not responsible for subsequent uses of the work. It is the author's responsibility to bring an infringement action if so desired by the author.