Archives
:: International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies
http://TuEngr.com
ISSN 2228-9860
eISSN 1906-9642
CODEN: ITJEA8
FEATURE PEER-REVIEWED ARTICLE
Vol.12(10) (2021) |
An Improved Multi-Reservoir Operation using Gridline Operating Rule for Water Management in Chao Phraya River Basin
Assada Kijpayoong and Panuwat Pinthong(Faculty of Technical Education, King Mongkut's University of Technology North Bangkok, THAILAND ).
Disciplinary: Civil Engineering & Technology (Hydrology), Computer Application.
doi: 10.14456/ITJEMAST.2021.193
Keywords: Reservoir Operation; Harmony Search (HS); Genetic Algorithm; Optimization; Gridline Operating Rule (GOR); Water peak discharge; Water resource management.
AbstractThe release of water from the multi-reservoir system in the Chao Phraya River Basin (CPRB) is extremely important since this basin has the largest irrigation area in Thailand with a large volume of water use. There are four main reservoirs, consist of Bhumibol, Sirikit, Khwae Noi Bumrungdan, and Pasak Jolasid reservoirs. The operators have to decide when and how to release water from the reservoirs for the water allocations in the CPRB. The development of a decision-making model for optimal multi-reservoir release in the CPRB based on the Gridline Operating Rule concept will be useful for the decision-makers to release water properly. The objectives of the model are reducing peak discharge at control point C4 and reducing water shortages in the irrigation areas. The performance of water allocation was also evaluated by using reliability, vulnerability, and resiliency indices. The result indicates that the calibration period, Gridline Operating Rule With Harmony Search (GOR-HS) with three indices values of 74%, 452 million cubic meters (MCM), and 46%, respectively. In addition, it could reduce floods in 2011 by 16 days; the volume of water is 819 MCM and peak discharge is 192 cubic meters per second which may affect the area.Paper ID: 12A10D
Cite this article:
Kijpayoong, A., Pinthong, P. (2021). An Improved Multi-Reservoir Operation using Gridline Operating Rule for Water Management in Chao Phraya River Basin. International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies, 12(10), 12A10D, 1-14. http://doi.org/10.14456/ITJEMAST.2021.193
References
- Chaleeraktrakoon, C., Chaipuriphat, A., & YingKrainkrai, P. (2001). Management of Available Water at the Bhumiphol and Sirikit Dams Base on Rule Curves. The 7th National Conference on Civil Engineering, (pp. 83-86). Thailand.
- Vudhivanich, V. (2000). Simulation Criteria for Probability Based Rule Curves reservoir operation. In V. Vudhivanich, Research Techniques in Irrigation Engineering (pp. 50-62). Thailand.
- Rittima, A. (2003). Development of Reservoir Operating Rules for Mun Bon-Lam Chae Reservoirs. Proceedings of the 40th Kasetsart University Annual Conference (pp. 156-165). Thailand: Kasetsart University.
- Puttrawutichai, S. (2017). Optimal Operation of a Multipurpose Multi-Reservoir System in The Upper Chao Phraya River Basin. Thailand: Kasetsart University.
- Azamathulla, H., Ab Ghani, A., Zakaria, N., & Chun Kiat, C. (2009). Linear Programming Approach for Irrigation Scheduling - A case Study. 14th MANCID Annual Conference (14th MANCO), (pp. 1-11). Malaysia.
- Needham, J., Watkins, D., Lund, J., & Nanda, S. (2000). Linear Programming for Flood Control in the Iowa and Des Moines Rivers. Journal of Water Resources Planning and Management, 118-127.
- Abrishamchi, A., Dashti, M., & Tajrishy, M. (2011). Development of a Multi-Reservoir Flood Control Optimization Model; Application to the Karkheh River Basin, Iran. World Environmental and Water Resources Congress 2011, 3048-3057.
- Chaleeraktrakoon, C., & Kangrang, A. (2007). Dynamic programming with the principle of progressive optimality for searching rule curves. Canadian Journal of Civil Engineering, 170-176.
- Labadie, J. W. (2004). Opimal operation of multireservoir systems: state-of-the-art review. Journal of Water Resources Planning and Management, 93-111.
- Yeh, W. G. (1985). Reservoir Management and Operations Models: A State-of-the-Art Review. Water Resources Research, 1797-1818.
- Holland, J. H. (1992). Adaptation in Natural and Artificial Systems. University of Michigan Press.
- Wardlaw, R., & Sharif, M. (1999). Evaluation of genetic algorithms for optimal reservoir system operation. Journal of Water Resources Planning and Management, 25-33.
- Pinthong, P., & Weesakul, S. (2008). A hybrid genetic-neurofuzzy system based decision modeling for real-time reservoir operation. Proceeding of the 13th National Conference on Civil Engineering, (pp. 257-262). Thailand.
- Geem, Z. W. (2007). Optimal Scheduling of Multiple Dam System Using Harmony Search Algorithm. International Work-Conference on Artificial Neural Networks (pp. 316-323). Springer.
- Kongjun, T. (2018). Water Management in The Chao Phraya River Basin during Drought Crisis. The National Defence College of Thailand Journal, 8-34.
Other issues:
Vol.12(10)(2021)
Vol.12(9)(2021)
Vol.12(8)(2021)
Archives
Call-for-Papers
Call-for-Scientific PapersCall-for-Research Papers: ITJEMAST invites you to submit high quality papers for full peer-review and possible publication in areas pertaining engineering, science, management and technology, especially interdisciplinary/cross-disciplinary/multidisciplinary subjects.
To publish your work in the next available issue, your manuscripts together with copyright transfer document signed by all authors can be submitted via email to Editor @ TuEngr.com (no space between). (please see all detail from Instructions for Authors)
Publication and peer-reviewed process:
After the peer-review process (4-10 weeks), articles will be on-line published in the available next issue. However, the International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies cannot guarantee the exact publication time as the process may take longer time, subject to peer-review approval and adjustment of the submitted articles.