Development of a Reservoir System Operation Model for Water Sustainability in the Yaqui River Basin
Publication: Journal of Water Resources Planning and Management
Volume 145, Issue 9
Abstract
The Yaqui River Basin (YRB) is in the semiarid state of Sonora in northwest Mexico. The flow in this watershed is controlled by three reservoirs: Angostura, Novillo, and Oviáchic. A daily reservoir operation model is developed for this system to assist local reservoir operators in the decision-making process. This model is composed of a semidistributed daily watershed simulator combined with a nonlinear optimization model. The hydrologic simulator was developed using the Hydrologic Engineering Center–Hydrologic Modeling System (HEC–HMS) developed by the USACE Hydrologic Engineering Center and the optimization model was developed using the General Algebraic Modeling System (GAMS) methodology. Two climatology forcings (precipitation, temperature, and solar radiation) were applied to the HEC–HMS simulation: (1) a network of daily ground observations from Mexican water agencies during the historical period of October 2001 to September 2010; and (2) gridded fields from the North American Land Data Assimilation System (NLDAS) at a 12-km resolution during the same simulation period. The NLDAS forcing improved the spatial representation of the simulator, compared to ground observation forcing, in areas draining into Angostura and Novillo. However, ground observation forcing resulted in the best performance of the hydrologic model in the contributing area of Oviáchic. The simulated reservoir releases were compared to historic releases at the three reservoirs to generate confidence in the simulation tools. Findings show that existing water allocation strategies are unable to satisfy demands from most users. The simulator, in combination with the optimization model, was useful to generate water allocation scenarios that would meet these demands; therefore, the proposed model is a useful tool for reservoir operations in the YRB.
Get full access to this article
View all available purchase options and get full access to this article.
Data Availability Statement
All data, models, or code generated or used during the study are available from the corresponding author by request.
Acknowledgments
We would like to thank ITSON’s Programa de Fomento y Apoyo a Proyectos de Investigacion (PROFAPI) for funding provided for this study.
References
Addams, C. L. 2004. “Water resource policy evaluation using a combined hydrologic-economic-agronomic modeling framework: Yaqui Valley, Sonora, Mexico.” Ph.D. dissertation, Dept. of Geological and Environmental Sciences, Stanford Univ.
Anand, J., A. Gosain, and R. Khosa. 2018. “Optimisation of multipurpose reservoir operation by coupling Soil and Water Assessment Tool (SWAT) and genetic algorithm for optimal operating policy (Case Study: Ganga River Basin).” Sustainability 10 (5): 1660. https://doi.org/10.3390/su10051660.
Arunkumar, R., and V. Jothiprakash. 2012. “Optimal reservoir operation for hydropower generation using Non-linear Programming Model.” J. Inst. Eng. (India) Ser. A. 93 (2): 111–120. https://doi.org/10.1007/s40030-012-0013-8.
Bedient, P. B., W. C. Huber, and B. E. Vieux. 2008. Hydrology and floodplain analysis, 816. Upper Saddle River, NJ: Prentice Hall.
Berlekamp, J., S. Boer, N. Graf, B. Hahn, H. Holzhauer, and Y. Huang. 2005. Design of a pilot decision-support system for river-basin management with the Elbe River as example. [In German.]. Koblenz, Germany: Projektgruppe ElbeÖkologie, Federal Institute of Hydrology.
Brooke, A., D. Kendrick, A. Meeraus, and R. Raman. 1998. GAMS a user’s guide. South San Francisco, CA: Scientific Press.
Che, D., and L. W. Mays. 2017. “Application of an optimization/simulation model for real-time flood-control operation of river-reservoirs systems.” Water Resour. Manage. 31 (7): 2285–2297. https://doi.org/10.1007/s11269-017-1644-3.
Cruz Medina, I. R., and F. García Páez. 2008. “Modelación de los escurrimientos del Río Yaqui.” Terra Latinoam. 26 (2): 145–152.
Dang, T., R. Pedroso, P. Laux, and H. Kunstmann. 2018. “Development of an integrated hydrological-irrigation optimization modeling system for a typical rice irrigation scheme in central Vietnam.” Agric. Water Manage. 208: 193–203. https://doi.org/10.1016/j.agwat.2018.05.018.
dos Santos Teixeira, A., and M. A. Mariño. 2002. “Coupled reservoir operation-irrigation scheduling by dynamic programming.” J. Irrig. Drain. Eng. 128 (2): 63–73. https://doi.org/10.1061/(ASCE)0733-9437(2002)128:2(63).
Fayaed, S. S., A. El-Shafie, and O. Jaafar. 2013. “Reservoir-system simulation and optimization techniques.” Stochastic Environ. Res. Risk Assess. 27 (7): 1751–1772. https://doi.org/10.1007/s00477-013-0711-4.
Feldman, A. D. 2000. Hydrologic modeling system HEC-HMS: Technical reference manual. Davis, CA: USACE.
Gochis, D. J., L. Brito-Castillo, and W. J. Shuttleworth. 2006. “Hydroclimatology of the North American monsoon region in northwest Mexico.” J. Hydrol. 316 (1–4): 53–70. https://doi.org/10.1016/j.jhydrol.2005.04.021.
INEGI (Nacional Institute of Statistics, Geography and Informatics). 1993. Studio hidrologico del estado de Sonora. Aguascalientes, Mexico: INEGI.
Kumar, D. N., K. S. Raju, and B. Ashok. 2006. “Optimal reservoir operation for irrigation of multiple crops using genetic algorithms.” J. Irrig. Drain. Eng. 132 (2): 123–129. https://doi.org/10.1061/(ASCE)0733-9437(2006)132:2(123).
Labadie, J. W. 2004. “Optimal operation of multireservoir systems: State-of-the-art review.” Water Resour. Plann. Manage. 130 (2): 93–111. https://doi.org/10.1061/(ASCE)0733-9496(2004)130:2(93).
Macian-Sorribes, H., and M. Pulido-Velazquez. 2017. “Integrating historical operating decisions and expert criteria into a DSS for the management of a multireservoir system.” J. Water Resour. Plann. Manage. 143 (1): 04016069. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000712.
Maldonado, S. D., and J. Collado. 2009. “Conciliación de objetivos en conflicto usando conjuntos difusos en el hidrosistema del río Yaqui, Sonora, México.” Tecnol. Cienc. Agua 24 (4): 65–86.
Matson, P. A. 2012. Seeds of sustainability: Lessons from the birthplace of the green revolution. Washington, DC: Island Press.
Méndez-Barroso, L. A., J. Garatuza-Payán, and E. R. Vivoni. 2008. “Quantifying water stress on wheat using remote sensing in the Yaqui Valley, Sonora, Mexico.” Agric. Water Manage. 95 (6): 725–736. https://doi.org/10.1016/j.agwat.2008.01.016.
Méndez-Barroso, L. A., E. R. Vivoni, A. Robles-Morua, G. Mascaro, E. A. Yépez, J. C. Rodríguez, C. J. Watts, J. Garatuza-Payán, and J. A. Saíz-Hernández. 2014. “A modeling approach reveals differences in evapotranspiration and its partitioning in two semiarid ecosystems in northwest Mexico.” Water Resour. Res. 50 (4): 3229–3252. https://doi.org/10.1002/2013WR014838.
Minjares Lugo, J. L. 2004. “Sustainable operation of the Yaqui River multiple reservoir system.” Ph.D. dissertation, Dept. of Civil Engineering and Industrial Engineering, New Mexico State Univ.
Mirajkar, A. B., and P. L. Patel. 2016. “Multiobjective two-phase fuzzy optimization approaches in management of water resources.” J. Water Resour. Plann. Manage. 142 (11): 04016046. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000682.
Mitchell, K. E., et al. 2004. “The multi-institution North American Land Data Assimilation System (NLDAS): Utilizing multiple GCIP products and partners in a continental distributed hydrological modeling system.” J. Geophys. Res. 109 (D7): D07S90. https://doi.org/10.1029/2003JD003823.
Muñoz-Arriola, F., R. Avissar, C. Zhu, and D. P. Lettenmaier. 2009. “Sensitivity of the water resources of Rio Yaqui Basin, Mexico, to agriculture extensification under multiscale climate conditions: Water resources and land use changes.” Water Resour. Res. 45 (11): 1–13. https://doi.org/10.1029/2007WR006783.
Munoz-Hernandez, A., A. S. Mayer, and D. W. Watkins. 2011. “Integrated hydrologic-economic-institutional model of environmental flow strategies for Rio Yaqui Basin, Sonora, Mexico.” J. Water Resour. Plann. Manage. 137 (2): 227–237. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000108.
Myo Lin, N., M. Rutten, and X. Tian. 2018. “Flood mitigation through optimal operation of a multi-reservoir system by using model predictive control: A case study in Myanmar.” Water 10 (10): 1371. https://doi.org/10.3390/w10101371.
Narchi, N. E., and L. Radonic. 2015. “Environmental violence, water rights, and (un) due process in northwestern Mexico.” Latin Am. Perspect. 42 (5): 27–47. https://doi.org/10.1177/0094582X15585111.
Randall, D., C. Leasa, S. K. Catharine, W. George, and P. S. Daniel. 1997. “Water supply planning simulation model using mixed-integer linear programming ‘engine’.” Water Resour. Plann. Manage. 123 (2): 116–124. https://doi.org/10.1061/(ASCE)0733-9496(1997)123:2(116).
Rani, D., and M. M. Moreira. 2010. “Simulation-optimization modeling: A survey and potential application in reservoir systems operation.” Water Resour. Manage. 24 (6): 1107–1138. https://doi.org/10.1007/s11269-009-9488-0.
Robles-Morua, A., K. E. Halvorsen, A. S. Mayer, and E. R. Vivoni. 2014. “Exploring the application of participatory modeling approaches in the Sonora River Basin, Mexico.” Environ. Modell. Software 52: 273–282. https://doi.org/10.1016/j.envsoft.2013.10.006.
Robles-Morua, A., E. R. Vivoni, and A. S. Mayer. 2012. “Distributed hydrologic modeling in northwest Mexico reveals the links between runoff mechanisms and evapotranspiration.” J. Hydrometeorol. 13 (3): 785–807. https://doi.org/10.1175/JHM-D-11-0112.1.
Schoups, G., C. L. Addams, J. L. Minjares, and S. M. Gorelick. 2006a. “Reliable conjunctive use rules for sustainable irrigated agriculture and reservoir spill control.” Water Resour. Res. 42 (12): 1–15. https://doi.org/10.1029/2006WR005007.
Schoups, G., C. L. Addams, J. L. Minjares, and S. M. Gorelick. 2006b. “Sustainable conjunctive water management in irrigated agriculture: Model formulation and application to the Yaqui Valley, Mexico: Sustainable conjunctive water management.” Water Resour. Res. 42 (10): 1–19. https://doi.org/10.1029/2006WR004922.
Shaw, A. R., H. Smith Sawyer, E. J. LeBoeuf, M. P. McDonald, and B. Hadjerioua. 2017. “Hydropower optimization using artificial neural network surrogate models of a high-fidelity hydrodynamics and water quality model: Hydropower optimization using ANNs.” Water Resour. Res. 53 (11): 9444–9461. https://doi.org/10.1002/2017WR021039.
Shenava, N., and M. Shourian. 2018. “Optimal reservoir operation with water supply enhancement and flood mitigation objectives using an optimization-simulation approach.” Water Resour. Manage. 32 (13): 4393–4407. https://doi.org/10.1007/s11269-018-2068-4.
Singh, J., H. V. Knapp, and M. Demissie. 2004. “Hydrologic modeling of the Iroquois River watershed using HSPF and SWAT.” ISWS CR 2004-08. Champaign, IL: Illinois State Water Survey. Accessed November 14, 2018. https://pdfs.semanticscholar.org/8e94/d50b49c6f1b8ad03d86e8605890f30f25847.pdf.
Vivoni, E. R., et al. 2007a. “Variation of hydrometeorological conditions along a topographic transect in northwestern Mexico during the North American monsoon.” J. Clim. 20 (9): 1792–1809. https://doi.org/10.1175/JCLI4094.1.
Vivoni, E. R., D. Entekhabi, R. L. Bras, and V. Y. Ivanov. 2007b. “Controls on runoff generation and scale-dependence in a distributed hydrologic model.” Hydrol. Earth Syst. Sci. 11 (5): 1683–1701. https://doi.org/10.5194/hess-11-1683-2007.
Vivoni, E. R., G. Mascaro, S. Mniszewski, P. Fasel, E. P. Springer, V. Y. Ivanov, and R. L. Bras. 2011. “Real-world hydrologic assessment of a fully-distributed hydrological model in a parallel computing environment.” J. Hydrol. 409 (1–2): 483–496. https://doi.org/10.1016/j.jhydrol.2011.08.053.
Vivoni, E. R., H. A. Moreno, G. Mascaro, J. C. Rodriguez, C. J. Watts, J. Garatuza-Payan, and R. L. Scott. 2008. “Observed relation between evapotranspiration and soil moisture in the North American monsoon region.” Geophys. Res. Lett. 35 (22): 1–6. https://doi.org/10.1029/2008GL036001.
Vivoni, E. R., J. C. Rodríguez, and C. J. Watts. 2010. “On the spatiotemporal variability of soil moisture and evapotranspiration in a mountainous basin within the North American monsoon region: Spatiotemporal variability of soil moisture and evapotranspiration.” Water Resour. Res. 46 (2): 1–18. https://doi.org/10.1029/2009WR008240.
Vivoni, E. R., K. Tai, and D. J. Gochis. 2009. “Effects of initial soil moisture on rainfall generation and subsequent hydrologic response during the North American monsoon.” J. Hydrometeorol. 10 (3): 644–664. https://doi.org/10.1175/2008JHM1069.1.
Yoo, J.-H. 2009. “Maximization of hydropower generation through the application of a linear programming model.” J. Hydrol. 376 (1–2): 182–187. https://doi.org/10.1016/j.jhydrol.2009.07.026.
Information & Authors
Information
Published In
Journal of Water Resources Planning and Management
Volume 145 • Issue 9 • September 2019
Copyright
©2019 American Society of Civil Engineers.
History
Received: Aug 1, 2018
Accepted: Jan 31, 2019
Published online: Jun 27, 2019
Published in print: Sep 1, 2019
Discussion open until: Nov 27, 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.