Optimal Irrigation with Perfect Weekly Forecasts versus Imperfect Seasonal Forecasts
Publication: Journal of Water Resources Planning and Management
Volume 145, Issue 5
Abstract
This study examines the impact of weekly and seasonal weather forecasts on the optimal irrigation scheduling problem. We compare stochastic and deterministic simulation-optimization frameworks for irrigation scheduling using perfect weekly (deterministic) and imperfect seasonal (stochastic) forecasts. The analysis is performed on a case study of irrigated chickpeas in Kibbutz HaZore’a in northern Israel. The results demonstrate that, for the case study area and crop, the optimization with seasonal stochastic forecasts outperforms the deterministic optimization that uses perfect weekly forecast.
Get full access to this article
View all available purchase options and get full access to this article.
Acknowledgments
This research was made possible by the financial support of the Israeli Water Authority Research Fund. The authors wish to thank Dr. Anna Brook for providing the field measurements.
References
Bastiaanssen, W. G., R. G. Allen, P. Droogers, G. D’Urso, and P. Steduto. 2007. “Twenty-five years modeling irrigated and drained soils: State of the art.” Agric. Water Manage. 92 (3): 111–125. https://doi.org/10.1016/j.agwat.2007.05.013.
Birge, J. R., and F. Louveaux. 2011. Introduction to stochastic programming. New York: Springer.
Bowman, S. A., S. L. Gortmaker, C. B. Ebbeling, M. A. Pereira, and D. S. Ludwig. 2004. “Effects of fast-food consumption on energy intake and diet quality among children in a national household survey.” Pediatrics 113 (1): 112–118. https://doi.org/10.1542/peds.113.1.112.
Cai, X., M. I. Hejazi, and D. Wang. 2011. “Value of probabilistic weather forecasts: Assessment by real-time optimization of irrigation scheduling.” J. Water Resour. Plann. Manage. 137 (5): 391–403. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000126.
Doorenbos, J., and A. H. Kassam. 1979. Yield response to water. Rome, Italy: Food and Agriculture Organization.
Gerakis, A., and J. T. Ritchie. 1998. “Simulation of atrazine leaching in relation to water-table management using the CERES model.” J. Environ. Manage. 52 (3): 241–258. https://doi.org/10.1006/jema.1997.0172.
Hashemi, F., and W. Decker. 1969. “Using climatic information and weather forecast for decisions in economizing irrigation water.” Agric. Meteorol. 6 (4): 245–257. https://doi.org/10.1016/0002-1571(69)90052-1.
Hejazi, M. I., X. Cai, X. Yuan, X. Z. Liang, and P. Kumar. 2013. “Incorporating reanalysis-based short-term forecasts from a regional climate model in an irrigation scheduling optimization problem.” J. Water Resour. Plann. Manage. 140 (5): 699–713. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000365.
Housh, M., A. Ostfeld, and U. Shamir. 2013. “Limited multi-stage stochastic programming for managing water supply systems.” Environ. Modell. Software 41: 53–64. https://doi.org/10.1016/j.envsoft.2012.11.006.
IMS (Israel Meteorological Service). 2019. “Database.” Accessed February 11, 2019. http://data.gov.il/ims.
Jamal, A. 2016. “Utilizing probabilistic weather forecasting for optimal irrigation scheduling.” Master’s dissertation, Faculty of Civil and Environmental Engineering, Technion–Israel Institute of Technology.
Jamal, A., R. Linker, and M. Housh. 2018. “Comparison of various stochastic approaches for irrigation scheduling using seasonal climate forecasts.” J. Water Resour. Plann. Manage. 144 (7): 04018028. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000951.
Jensen, M. E. 1968. “Water consumption by agricultural plants.” In Vol. 2 of Water deficits and plants growth, edited by T. T. Kozlowski, 1–22. New York: Academic.
Kislev, M. E., O. Simchoni, Y. Melamed, and L. Maroz. 2011. “Flax seed production: Evidence from the early Iron Age site of Tel Beth-Shean, Israel and from written sources.” Veg. Hist. Archaeobot. 20 (6): 579–584. https://doi.org/10.1007/s00334-011-0303-5.
Labadie, J. W. 2004. “Optimal operation of multireservoir systems: State-of-the-art review.” J. Water Resour. Plann. Manage. 130 (2): 93–111. https://doi.org/10.1061/(ASCE)0733-9496(2004)130:2(93).
Maurer, E. P., and D. P. Lettenmaier. 2004. “Potential effects of long-lead hydrologic predictability on Missouri River main-stem reservoirs.” J. Clim. 17 (1): 174–186. https://doi.org/10.1175/1520-0442(2004)017%3C0174:PEOLHP%3E2.0.CO;2.
Pleban, S., D. F. Heermann, J. W. Labadie, and H. R. Duke. 1984. “Real time irrigation scheduling via ‘reaching’ dynamic programming.” Water Resour. Res. 20 (7): 887–895. https://doi.org/10.1029/WR020i007p00887.
Rao, N. H., P. B. S. Sarma, and S. Chander. 1988. “A simple dated water-production function for use in irrigated agriculture.” Agric. Water Manage. 13 (1): 25–32. https://doi.org/10.1016/0378-3774(88)90130-8.
Schutze, N., M. de Paly, and U. Shamir. 2012. “Novel simulation-based algorithms for optimal open-loop and closed-loop scheduling of deficit irrigation systems.” J. Hydroinf. 14 (1): 136–151. https://doi.org/10.2166/hydro.2011.073.
Shangguan, Z., M. Shao, R. Horton, T. Lei, L. Qin, and J. Ma. 2002. “A model for regional optimal allocation of irrigation water resources under deficit irrigation and its applications.” Agric. Water Manage. 52 (2): 139–154. https://doi.org/10.1016/S0378-3774(01)00116-0.
Singh, R., J. C. van Dam, and R. A. Feddes. 2006. “Water productivity analysis of irrigated crops in Sirsa district, India.” Agric. Water Manage. 82 (3): 253–278. https://doi.org/10.1016/j.agwat.2005.07.027.
Supit, I. 1994. “System description of the WOFOST 6.0 crop simulation model implemented in CGMS.” Theory Algorithms 1: 146.
van Dam, J. C., J. Huygen, J. G. Wesseling, R. A. Feddes, P. Kabat, P. E. V. van Walsum, P. Groenendijk, and C. A. van Diepen. 1997. Theory of SWAP version 2.0. Simulation of water flow, solute transport and plant growth in the soil-water-atmosphere-plant environment. Wageningen, Netherlands: DLO Winand Staring Centre.
Vazifedoust, M., J. C. van Dam, R. A. Feddes, and M. Feizi. 2008. “Increasing water productivity of irrigated crops under limited water supply at field scale.” Agric. Water Manage. 95 (2): 89–102. https://doi.org/10.1016/j.agwat.2007.09.007.
Wang, D., and X. Cai. 2009. “Irrigation scheduling—Role of weather forecasting and farmers’ behavior.” J. Water Resour. Plann. Manage. 135 (5): 364–372. https://doi.org/10.1061/(ASCE)0733-9496(2009)135:5(364).
Wilks, D. S., and D. W. Wolfe. 1998. “Optimal use and economic value of weather forecasts for lettuce irrigation in a humid climate.” Agric. For. Meteorol. 89 (2): 115–129. https://doi.org/10.1016/S0168-1923(97)00066-X.
Zhao, T., and J. Zhao. 2014. “Forecast-skill-based simulation of streamflow forecasts.” Adv. Water Resour. 71: 55–64. https://doi.org/10.1016/j.advwatres.2014.05.011.
Information & Authors
Information
Published In
Copyright
©2019 American Society of Civil Engineers.
History
Received: Nov 30, 2017
Accepted: Oct 22, 2018
Published online: Mar 5, 2019
Published in print: May 1, 2019
Discussion open until: Aug 5, 2019
Authors
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.