MODELLING OF HUMAN EXPERT DECISION MAKING IN RESERVOIR OPERATION

Authors

  • Wan Hussain Wan Ishak School of Computing, Universiti Utara Malaysia, 06010 Sintok, Kedah, Malaysia
  • Ku Ruhana Ku-Mahamud School of Computing, Universiti Utara Malaysia, 06010 Sintok, Kedah, Malaysia
  • Norita Md Norwawi Faculty of Science and Technology, Universiti Sains Islam Malaysia, Nilai, Ng. Sembilan, Malaysia

DOI:

https://doi.org/10.11113/jt.v77.6654

Keywords:

Modelling human decision, reservoir operation, computational intelligence, data mining, artificial neural network

Abstract

Reservoir is one of the structural approaches for flood mitigation and water supply.  During heavy raining season, reservoir operator has to determine fast and accurate decision in order to maintain both reservoir and downstream river water level.  In contrast to less rainfall season, the reservoir needs to impound water for the water supply purposes. This study is aimed to model human expert decision making specifically on reservoir water release decision. Reservoir water release decision is crucial as reservoir serve multi purposes.  The reservoir water release decision pattern that comprises of upstream rainfall and current reservoir water level has been form using sliding window technique.  The computational intelligence method called artificial neural network was used to model the decision making.  

References

Simonovic, S. P. 1999. Decision support system for flood management in the Red River Basin. Canadian Water Resources Journal. 24(3): 203–223.

Jain, S. K., Singh, V. P. 2003. Chapter 11: Reservoir Operation. In S. K. Jain and V. P. Singh (Eds), Water Resources Systems Planning & Management. 51: 615-679.

Smith, K., Ward, R. 1998. Floods: Physical Processes and Human Impacts. England: John Wiley.

Davis, D. 2000. Business Research for Decision making (5th). USA: Thomson Learning.

Bohanec, M. 2001. What is Decision Support? In Skrjanc, M., Maladenic, D. (Eds), Proc. Information Society: Data Mining and Decision Support in Action!. 86-89.

Hersh, M. 1999. Sustainable Decision Making: The Role of Decision Support Systems. IEEE Transaction of Systems, Man and Cybernetics-Part C: Applications and Reviews. 29(3): 395-408.

Lipshitz, R., Klein, G., Orasanu, J., and Salas, E. 2001. Taking Stock of Naturalistic Decision Making. Journal of Behavioral Decision Making. 14: 331-352.

Klein, G. and Klinger, D. 1991. Naturalistic Decision Making. Human Systems IAC GATEWAY. 2(1): 16-19

Norwawi, N. M. 2004. Computational Recognition-Primed Decision Model Based on Temporal Data Mining Approach in a Multiagent Environment for Reservoir Flood Control Decision. PhD Thesis. Faculty of Information Technology, Universiti Utara Malaysia.

Simonovic, S. P. 1992. Reservoir Systems Analysis: Closing Gap Between Theory and Practice. Journal of Water Resources Planning and Management. 118(3): 262-280.

Dubrovin, T., Jolma, A., and Turunen, E. 2002. Fuzzy Model for Real-Time Reservoir Operation. Journal of Water Resources Planning and Management. 128(1): 66-73.

Ashaary, N. A., Wan-Ishak, W. H., Ku-Mahamud, K.R. 2015. Neural Network Application in the Change of Reservoir Water Level Stage Forecasting. Indian Journal of Science and Technology. 8(13): 70634, July 2015.

Ashaary, N.A., Wan-Ishak, W.H., Ku-Mahamud, K.R. 2015. Forecasting Model for the Change of Reservoir Water Level Stage Based on Temporal Pattern of Reservoir Water Level. Proceedings of the 5th International Conference on Computing & Informatics (ICOCI). 692-697.

Yeh, W. W. 1985. Reservoir Management and Operations Models: A State-of-the-Art Reviews. Water Resources Research. 21(12): 1797-1818.

Sivapragasam, C., Vasudevan, G., Vincent, P., Sugendran, P., Marimuthu, M., and Seenivasakan, S. 2007. Rule Reduction in Fuzzy Logic for Better Interpretability in Reservoir Operation. Hydrological Processes. 21: 2835-2844.

Naresh, R. and Sharma, J. 2001. Reservoir Operation using a Fuzzy and Neural System for Hydrogeneration Scheduling. Int. Journal of systems Science. 32(4): 479-489.

Lee, Y., Kim, S. K., Kim, J., and Ko, I. H. 2003. A Mathematical Model for Daily Coordinated Multi Reservoir Operation. In Paul Bizier and Paul DeBarry (Eds.), Proceedings of World Water and Environmental Resources Congress. 118: 115. Retrieved from ASCE Research Library DOI: 10.1061/40685(2003)115.

Abdul-Mokhtar, S., Wan-Ishak, W.H., and Norwawi, N.M. 2014. Modelling of Reservoir Water Release Decision Using Neural Network and Temporal Pattern of Reservoir Water Level. Proceedings of the Fifth International Conference on Intelligent Systems, Modelling and Simulatio. 127-130

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Published

2015-12-11

How to Cite

MODELLING OF HUMAN EXPERT DECISION MAKING IN RESERVOIR OPERATION. (2015). Jurnal Teknologi (Sciences & Engineering), 77(22). https://doi.org/10.11113/jt.v77.6654