Abstract
This study aimed to develop Multi-Year Reservoir Operation Model (MYROM) to optimize water allocation in multi-purpose and multi-year reservoir. MYROM relied on Ant Colony Optimization (ACO) method to address non-linear optimization challenges associated with multiple objectives. In addition, water availability in the reservoir was assessed, which was an analysis of constraints in minimizing water shortages at study location. The weighted priority for each type of water use was then obtained from a model that followed ACO method. This priority weighting was carried out to provide an assessment regarding decisions related to water management, particularly in determining the sequence of use for various purposes, such as irrigation, domestic and industrial water supply, or hydroelectric power generation. The model used was tested at Wonorejo multi-purpose Reservoir in East Java, Indonesia using historical water availability and use from 2003 to 2021. The simulation results showed that MYROM succeeded in allocating water through the minimization of shortages by proposing parameters α = 1, β = 2, and ρ = 0.4, with the number of ants (m) = 100 in the water demand variable. In addition, the water demand variable was in the form of hydropower, irrigation needs, and raw water needs with a period of 10 days for the next 5 years. Based on these results, the use of MYROM with specified parameter values could serve as a practical approach to improve the planning of reservoir water allocation operations. In addition, this showed that the performance of future water allocation planning model depended on predicted water availability data.
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Data availability
Data that support the results of this study are available on request from the corresponding author nastasia@ce.its.ac.id. The data are not publicly available due to their containing information that can compromise the privacy of study participants.
References
Afshar A, Massoumi F, Afshar A, Mariño MA (2015) State of the art review of ant colony optimization applications in water resource management. Water Resour Manag 29:3891–3904. https://doi.org/10.1007/s11269-015-1016-9
Ahmad A, El-Shafie A, Mohd Razali SF, Mohamad ZS (2014) Reservoir optimization in water resources: a review. Water Resour Manag 28:3391–3405. https://doi.org/10.1007/s11269-014-0700-5
Allawi MF, Jaafar O, Mohamad Hamzah F et al (2019) Forecasting hydrological parameters for reservoir system utilizing artificial intelligent models and exploring their influence on operation performance. Knowl-Based Syst 163:907–926. https://doi.org/10.1016/j.knosys.2018.10.013
Bai Y, Langarudi SP, Fernald AG (2021) System dynamics modeling for evaluating regional hydrologic and economic effects of irrigation efficiency policy. Hydrology. https://doi.org/10.3390/hydrology8020061
Dorigo M, Maniezzo V, Colorni A (1999) Dorigo-Maniezzo-Colomi_the-ant-system-optimization-by-a-colony-of-cooperating-agents. 26:1–26
Dorigo M, Gambardella LM (1997) Ant colony system: a cooperative learning approach to the traveling salesman problem. IEEE Trans Evol Comput 1:53–66. https://doi.org/10.1109/4235.585892
Feng M, Liu P, Guo S et al (2019) Adapting reservoir operations to the nexus across water supply, power generation, and environment systems: an explanatory tool for policy makers. J Hydrol 574:257–275. https://doi.org/10.1016/j.jhydrol.2019.04.048
Guo W, Wang H (2010) Optimal operation of Three Gorges reservoir based on Ant Colony algorithm. In: Proceedings—2010 International Conference on Intelligent Computing and Cognitive Informatics, ICICCI 2010, pp 360–363. https://doi.org/10.1109/ICICCI.2010.101
Higgins A, Archer A, Hajkowicz S (2008) A stochastic non-linear programming model for a multi-period water resource allocation with multiple objectives. Water Resour Manag 22:1445–1460. https://doi.org/10.1007/s11269-007-9236-2
Hossain MS, El-Shafie A, Mahzabin MS, Zawawi MH (2018) System performances analysis of reservoir optimization–simulation model in application of artificial bee colony algorithm. Neural Comput Appl 30:2101–2112. https://doi.org/10.1007/s00521-016-2798-2
Jalali MR, Afshar A, Mariño MA (2007) Multi-colony ant algorithm for continuous multi-reservoir operation optimization problem. Water Resour Manag 21:1429–1447. https://doi.org/10.1007/s11269-006-9092-5
Jiang H, Simonovic SP, Yu Z, Wang W (2020) A system dynamics simulation approach for environmentally friendly operation of a reservoir system. J Hydrol 587:124971. https://doi.org/10.1016/j.jhydrol.2020.124971
Kang Y, Gao J, Shao H, Zhang Y (2020) Quantitative analysis of hydrological responses to climate variability and land-use change in the hilly-gully region of the loess plateau, China. Water (switzerland). https://doi.org/10.3390/w12010082
Kangrang A, Lokham C (2013) Optimal reservoir rule curves considering conditional ant colony optimization with simulation model. J Appl Sci 13:154–160. https://doi.org/10.3923/jas.2013.154.160
Kumar DN, Reddy MJ (2006) Ant colony optimization for multi-purpose reservoir operation. Water Resour Manag 20:879–898. https://doi.org/10.1007/s11269-005-9012-0
Masduqi A, Nugroho AR, Wilujeng SA (2020) Solution to water scarcity in the eastern indonesia: a case study of the lembata regency. Int J GEOMATE 19:69–76. https://doi.org/10.21660/2020.71.30531
Moeini R, Afshar MH (2009) Application of an ant colony optimization algorithm for optimal operation of reservoirs: a comparative study of three proposed formulations. Sci Iran 16:273–285
Muldianto H, Andawayanti U, Suhartanto E, Soetopo W (2020) Sustainable water services fee using a system dynamics approach in Jatigede reservoir. Int J GEOMATE 19:8–13. https://doi.org/10.21660/2020.72.02271
Riadi I (2014) Cognitive Ant colony optimization: a new framework in swarm intelligence. 157
Soghrati F, Moeini R (2020) Deriving optimal operation of reservoir proposing improved artificial bee colony algorithm: Standard and constrained versions. J Hydroinform 22:263–280. https://doi.org/10.2166/hydro.2019.125
Suryadi E, Ruswandi D, Dwiratna S, Prawiranegara BMP (2019) Crop water requirements analysis using cropwat 8.0 software in maize intercropping with rice and soybean. Int J Adv Sci Eng Inf Technol 9:1364–1370. https://doi.org/10.18517/ijaseit.9.4.6868
Vavoulogiannis S, Iliopoulou T, Dimitriadis P, Koutsoyiannis D (2021) Multiscale temporal irreversibility of streamflow and its stochastic modelling. Hydrology. https://doi.org/10.3390/hydrology8020063
Wang J, Huang W, Ma G, Wang Y (2016) Determining the optimal year-end water level of a multi-year regulating storage reservoir: a case study. Water Sci Technol Water Supply 16:284–294. https://doi.org/10.2166/ws.2015.138
Wang K, Shi H, Chen J, Li T (2019) An improved operation-based reservoir scheme integrated with Variable Infiltration Capacity model for multiyear and multipurpose reservoirs. J Hydrol 571:365–375. https://doi.org/10.1016/j.jhydrol.2019.02.006
Wu Y, Chen J (2012) An operation-based scheme for a multiyear and multipurpose reservoir to enhance macroscale hydrologic models. J Hydrometeorol 13:270–283. https://doi.org/10.1175/JHM-D-10-05028.1
Wu X, Yu L, Wu S et al (2022) Trade-offs in the water-energy-ecosystem nexus for cascade hydropower systems: a case study of the Yalong River, China. Front Environ Sci 10:1–14. https://doi.org/10.3389/fenvs.2022.857340
Xu Z, Yao L, Zhou X et al (2019) Optimal irrigation for sustainable development considering water rights transaction: a Stackelberg–Nash–Cournot equilibrium model. J Hydrol 575:628–637. https://doi.org/10.1016/j.jhydrol.2019.05.063
Xu Z, Yao L, Chen X (2020) Urban water supply system optimization and planning: bi-objective optimization and system dynamics methods. Comput Ind Eng 142:106373. https://doi.org/10.1016/j.cie.2020.106373
Zecchin AC, Simpson AR, Maier HR et al (2006) Application of two ant colony optimisation algorithms to water distribution system optimisation. Math Comput Model 44:451–468. https://doi.org/10.1016/j.mcm.2006.01.005
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The authors are grateful to Institut Teknologi Sepuluh Nopember for study funding assistance in 2022 by decree number 1739/PKS/ITS/2022.
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Margini, N.F., Damarnegara, S., Anwar, N. et al. Water allocation in multi-purpose and multi-year reservoir using ant colony optimization. Sustain. Water Resour. Manag. 10, 117 (2024). https://doi.org/10.1007/s40899-024-01093-4
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DOI: https://doi.org/10.1007/s40899-024-01093-4