Technical Papers
Sep 11, 2015

Fuzzy State Real-Time Reservoir Operation Model for Irrigation with Gridded Rainfall Forecasts

Publication: Journal of Irrigation and Drainage Engineering
Volume 142, Issue 2

Abstract

A short-term real-time operation model with fuzzy state variables is developed for irrigation of multiple crops based on earlier work on long-term steady-state policy. The features of the model that distinguish it from the earlier work are (1) apart from inclusion of fuzziness in reservoir storage and in soil moisture of crops, spatial variations in rainfall and soil moisture of crops are included in the real-time operation model by considering gridded command area with a grid size of 0.5° latitude by 0.5° longitude; (2) the water allocation model and soil moisture balance equations are integrated with the real-time operation model with consideration of ponding water depth for Paddy crop; the model solution specifies reservoir releases for irrigation in a 10-day time period and allocations among the crops on a daily basis at each grid by maintaining soil moisture balance at the end of the day; and (3) the release policy is developed using forecasted daily rainfall data of each grid and is implemented for the current time period using actual 10-day inflow and actual daily rainfall of each grid. The real-time operation model is applied to Bhadra Reservoir in Karnataka, India. The results obtained using the real-time operation model are compared with those of the standard operating policy model. Inclusion of fuzziness in reservoir storage and soil moisture of crops captures hydrologic uncertainties in real time. Considerations of irrigation decisions on a daily basis and the gridded command area result in variations in allocating water to the crops, variations in actual crop evapotranspiration, and variations in soil moisture of the crops on a daily basis for each grid of the command area.

Get full access to this article

View all available purchase options and get full access to this article.

Acknowledgments

The authors acknowledge the National Centre for Medium Range Weather Forecasting (NCMRWF) research and development organization for providing the forecasted rainfall data on a daily basis at a grid increment of 0.5° latitude and 0.5° longitude, which has been used in the real-time reservoir operation model.

References

Allen, R. G., Pereira, L. S., Raes, D., and Smith, M. (1998). “Chapter 2—FAO Penman-Monteith equation: Crop evapotranspiration—Guidelines for computing crop water requirements.” Food and Agricultural Organization of the United Nations, Rome.
Anbumozhi, V., Yamaji, E., and Tabuchi, T. (1998). “Rice crop growth and yield as influenced by changes in ponding water depth, water regime and fertigation level.” Agric. Water Manage., 37(3), 241–253.
Bhadra, A., Bandyopadhyay, A., Singh, R., and Raghuwanshi, N. S. (2013). “Development of a user friendly water balance model for paddy.” Paddy Water Environ., 11(1–4), 331–341.
Doorenbos, J., and Kassam, A. H. (1979). “Yield response to water.” Food and Agricultural Organization of the United Nations, Rome.
Doorenbos, J., and Pruitt, W. O. (1977). “Crop water requirements.” Food and Agricultural Organization of the United Nations, Rome.
Dubrovin, T., Jolma, A., and Turunen, E. (2002). “Fuzzy model for real time reservoir operation.” J. Water Resour. Plann. Manage., 66–73.
Faybishenko, B. (2010). “Fuzzy-probabilistic calculations of water-balance uncertainty.” Stochastic Environ. Resour. Risk Assess., 24(6), 939–952.
Guo, P., Huang, G. H., Zhu, H., and Wang, X. L. (2010). “A two-stage programming approach for water resources management under randomness and fuzziness.” Environ. Model. Software, 25(12), 1573–1581.
Hajilal, M. S., Rao, N. H., and Sarma, P. B. S. (1998). “Real time operation of reservoir based canal irrigation systems.” Agric. Water Manage., 38(2), 103–122.
Kosko, B. (1996). Neural networks and fuzzy systems, Prentice Hall, Englewood Cliffs, NJ.
Li, Y. P., Huang, G. H., and Nie, S. L. (2011). “Optimization of regional economic and environmental systems under fuzzy and random uncertainties.” J. Environ. Manage., 92(8), 2010–2020.
Loucks, D. P., Stedinger, J. R., and Haith, D. A. (1981). Water resource system planning and analysis, Prentice Hall, Englewood Cliffs, NJ.
Michael, A. M. (1978). Irrigation theory and practice, Vikas Publishing House, New Delhi, India.
Montazar, A., Gheidari, O. N., and Snyder, R. L. (2013). “A fuzzy analytical hierarchy methodology for the performance assessment of irrigation projects.” Agric. Water Manage., 121, 113–123.
Moore, R. E. (1966). Interval analysis, Prentice Hall, Englewood Cliffs, NJ.
Mousavi, S. J., Karamouz, M., and Menhadj, M. B. (2004a). “Fuzzy-state stochastic dynamic programming for reservoir operation.” J. Water Resour. Plann. Manage., 460–470.
Mousavi, S. J., Mahdizadeh, K., and Afshar, A. (2004b). “A stochastic dynamic programming model with fuzzy storage states for reservoir operations.” Adv. Water Resour., 27(11), 1105–1110.
Mousavi, S. J., Ponnambalam, K., and Karray, F. (2005). “Reservoir operation using a dynamic programming fuzzy rule-based approach.” Water Resour. Manage., 19(5), 655–672.
Mujumdar, P. P., and Ramesh, T. V. S. (1997). “Real-time reservoir operation for irrigation.” Water Resour. Res., 33(5), 1157–1164.
Nam, W. H., and Choi, J. Y. (2014). “Development of an irrigation vulnerability assessment model in agricultural reservoirs utilizing probability theory and reliability analysis.” Agric. Water Manage., 142, 115–126.
National Centre for Medium Range Weather Forecasting. (2013). “NCMRWF global ensemble forecast system rainfall forecasts.” 〈http://www.ncmrwf.gov.in〉 (Aug. 15, 2015).
Panigrahi, D. P., and Mujumdar, P. P. (2000). “Reservoir operation modeling with fuzzy logic.” Water Resour. Manage., 14(2), 89–109.
Rao, N. H., Sarma, P. B. S., and Chander, S. (1992). “Real-time adaptive irrigation scheduling under a limited water supply.” Agric. Water Manage., 20(4), 267–279.
Sangeeta, K., and Mujumdar, P. P. (2015). “Reservoir operation with fuzzy state variables for irrigation of multiple crops.” J. Irrig. Drain. Eng., 04015015.
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.” Hydrol. Process., 21(21), 2835–2844.
Srinivasa Prasad, A., Umamahesh, N. V., and Viswanath, G. K. (2013). “Short-term real-time reservoir operation for irrigation.” J. Water Resour. Plann. Manage, 149–158.
Suresh, K. R., and Mujumdar, P. P. (2004). “A fuzzy risk approach for performance evaluation of an irrigation reservoir system.” Agric. Water Manage., 69(3), 159–177.
Tilmant, A., Fortemps, P., and Vanclooster, M. (2002a). “Effect of averaging operators in fuzzy optimization of reservoir operation.” Water Resour. Manage., 16(1), 1–22.
Tilmant, A., Vanclooster, M., Duckstein, L., and Persoons, E. (2002b). “Comparison of fuzzy and nonfuzzy optimal reservoir operating policies.” J. Water Resour. Plann. Manage., 390–398.
Vedula, S., and Mujumdar, P. P. (1992). “Optimal reservoir operation for irrigation of multiple crops.” Water Resour. Res., 28(1), 1–9.
Vedula, S., and Nagesh Kumar, D. (1996). “An integrated model for optimal reservoir operation for irrigation of multiple crops.” Water Resour. Res., 32(4), 1101–1108.
Xu, K., Zhou, J., Ran, G., and Qin, H. (2011). “Approach for aggregating interval-valued intuitionistic fuzzy information and its application to reservoir operation.” Expert Syst. Appl., 38(7), 9032–9035.

Information & Authors

Information

Published In

Go to Journal of Irrigation and Drainage Engineering
Journal of Irrigation and Drainage Engineering
Volume 142Issue 2February 2016

History

Received: Mar 7, 2015
Accepted: Jul 20, 2015
Published online: Sep 11, 2015
Published in print: Feb 1, 2016
Discussion open until: Feb 11, 2016

Permissions

Request permissions for this article.

Authors

Affiliations

Sangeeta Kumari
Research Student, Dept. of Civil Engineering, Indian Institute of Science, Bangalore 560012, India.
P. P. Mujumdar [email protected]
Professor, Dept. of Civil Engineering, Indian Institute of Science, Bangalore 560012, India (corresponding author). E-mail: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share