Optimal Reservoir Operation under Climate Change Based on a Probabilistic Approach
Publication: Journal of Hydrologic Engineering
Volume 22, Issue 10
Abstract
Recently, climate change and global warming issues with rapid global population growth and socioeconomic development have increased water demand and caused more pressure on water resources. Reservoirs in semiarid regions have always played a role in alleviating water scarcity. This study presents an improved approach to investigating the resilience of vulnerable reservoirs using a probabilistic technique for water resource management under climate change by simultaneously considering integrative elements, namely rainfall-runoff processing, agricultural water management, reservoir operation, and uncertainty analysis. To this end, the study investigates the climate change impacts on optimal operation of Jarreh reservoir in southwest of Iran, for the period from 2025 to 2054. A risk assessment based on multimodel ensemble scenarios is used to deal with uncertainties in climate change projection. The results indicated an increase in the mean annual temperature in the range of 1.1–1.7°C, and irregular changes (both decreases and sometimes increases) in the long-term mean monthly precipitation in the study area. In addition, an annual increase of the agricultural water volume demand is also expected by a factor of 1.18–1.47. The results also showed that the average long-term reservoir inflow volume would decrease by 13–41% under the future scenarios. The reservoir operation model has been developed based on minimizing the sum of square water allocation using the differential evolution algorithm (DEA). The modeling results depicted reduced reliability and increased vulnerability of the reservoir in the future relative to the base period. Reduced reliabilities of 41–13% (39–7%) are expected under A2 (B1) scenario for the critical and ideal conditions, respectively. The results of this study can be used in adaptation scenarios to reduce vulnerability and improve the water resources performance.
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References
Adhikari, U., and Nejadhashemi, A. P. (2016). “Impacts of climate change on water resources in Malawi.” J. Hydrol. Eng., 05016026.
Ahmadianfar, I., Adib, A., and Salarijazi, M. (2015). “Optimizing multireservoir operation: Hybrid of bat algorithm and differential evolution.” J. Water Resour. Plan. Manage., 05015010.
Allen, R. G., Pereira, L. S., Raes, D., and Smith, M. (1998). Crop evapotranspiration—Guidelines for computing crop water requirements—FAO Irrigation and Drainage Paper 56, FAO, Rome.
Ashofteh, P., Haddad, O., and Loáiciga, H. (2015a). “Evaluation of climatic-change impacts on multiobjective reservoir operation with multiobjective genetic programming.” J. Water Resour. Plan. Manage., 04015030.
Ashofteh, P. S., Haddad, O. B., and Mariño, M. (2013). “Climate change impact on reservoir performance indexes in agricultural water supply.” J. Irrig. Drain. Eng., 85–97.
Ashofteh, P.-S., Bozorg-Haddad, O., and Loáiciga, H. A. (2016). “Development of adaptive strategies for irrigation water demand management under climate change.” J. Irrig. Drain. Eng., 04016077.
Ashofteh, P.-S., Haddad, O. B., Akbari-Alashti, H., and Mariño, M. A. (2015b). “Determination of irrigation allocation policy under climate change by genetic programming.” J. Irrig. Drain. Eng., 04014059.
Ashofteh, P.-S., Haddad, O. B., and Marino, M. A. (2014). “Risk analysis of water demand for agricultural crops under climate change.” J. Hydrol. Eng., 4014060.
Barrow, E. M., and Semenov, M. A. (1995). “Climate change scenarios with high spatial and temporal resolution for agricultural applications.” Forestry, 68(4), 349–360.
Chen, J., Shi, H., Sivakumar, B., and Peart, M. R. (2016). “Population, water, food, energy and dams.” Renewable Sustainable Energy Rev., 56, 18–28.
Collins, W. D., et al. (2006). “The community climate system model version 3 (CCSM3).” J. Clim., 19(11), 2122–2143.
Delworth, T. L., et al. (2006). “GFDL’s CM2 global coupled climate models. Part I: Formulation and simulation characteristics.” J. Clim., 19(5), 643–674.
Déqué, M., Dreveton, C., Braun, A., and Cariolle, D. (1994). “The ARPEGE/IFS atmosphere model: A contribution to the French community climate modelling.” Clim. Dyn., 10(4–5), 249–266.
Doorenboos, J., and Pruitt, W. O. (1977). “Guidelines for predicting crop water requirements.” Land Water Dev. Div., 24, 144.
Estrela, T., Pérez-Martín, M. A., and Vargas, E. (2012). “Impacts of climate change on water resources in Spain.” Hydrol. Sci. J., 57(6), 1154–1167.
Flato, G. M. (2005). “The third generation coupled global climate model (CGCM3) (and included links to the description of the AGCM3 atmospheric model).” ⟨http://www.cccma.bc.ec.gc.ca/models/cgcm3.shtml⟩.
Galin, V. Y., Volodin, E. M., and Smyshlyaev, S. P. (2003). “Atmospheric general circulation model of INM RAS with ozone dynamics.” Russ. Meteorol. Hydrol., 5(5), 7–15.
Gohari, A., Bozorgi, A., Madani, K., Elledge, J., and Berndtsson, R. (2014). “Adaptation of surface water supply to climate change in central Iran.” J. Water Clim. Change, 5(3), 391–407.
Gohari, A., Eslamian, S., Abedi-koupaei, J., and Massah, A. (2013). “Climate change impacts on crop production in Iran's Zayandeh-Rud River Basin.” Sci. Total Environ., 442, 405–419.
Goharian, E., Burian, S. J., Bardsley, T., and Strong, C. (2016). “Incorporating potential severity into vulnerability assessment of water supply systems under climate change conditions.” J. Water Resour. Plan. Manage., 4015051.
Gondim, R. S., de Castro, M. A. H., Maia, A. de H. N., Evangelista, S. R. M., and Fuck, S. C. de F. (2012). “Climate change impacts on irrigation water needs in the jaguaribe river basin.” J. Am. Water Resour. Assoc., 48(2), 355–365.
Gordon, C., et al. (2000). “The simulation of SST, sea ice extents and ocean heat transports in a version of the Hadley Centre coupled model without flux adjustments.” Clim. Dyn., 16(2), 147–168.
Gordon, H. B., et al. (2002). “The CSIRO Mk3 climate system model.”, 130.
Guo, R., Lin, Z., Mo, X., and Yang, C. (2010). “Responses of crop yield and water use efficiency to climate change in the North China Plain.” Agric. Water Manage., 97(8), 1185–1194.
Hashimoto, T., Loucks, D. P., and Stedinger, J. (1982). “Reliability, resilience and vulnerability criteria for water resource system performance evaluation.” Water Resour. Res., 18(1), 14–20.
Hawkins, E., and Sutton, R. (2009). “The potential to narrow uncertainty in regional climate predictions.” Bull. Am. Meteorol. Soc., 90(8), 1095–1107.
Hong, E.-M., Nam, W.-H., Choi, J.-Y., and Pachepsky, Y. A. (2016). “Projected irrigation requirements for upland crops using soil moisture model under climate change in South Korea.” Agric. Water Manage., 165, 163–180.
Hourdin, F., et al. (2006). “The LMDZ4 general circulation model: Climate performance and sensitivity to parametrized physics with emphasis on tropical convection.” Clim. Dyn., 27(7–8), 787–813.
Huang, F., Xia, Z., Li, F., Guo, L., and Yang, F. (2012). “Hydrological changes of the Irtysh River and the possible causes.” Water Resour. Manage., 26(11), 3195–3208.
Jakeman, A. J., and dan Hornberger, G. M. (1993). “How much complexity is warranted In a rainfall-runoff model?” Water Resour. Res., 29(8), 2637–2649.
Jamali, S., Abrishamchi, A., and Madani, K. (2013). “Climate change and hydropower planning in the middleeast: Implications for Iran’s karkheh hydropower systems.” J. Energy Eng., 153–160.
Karamouz, M., Imen, S., and Nazif, S. (2012). “Development of a demand driven hydro-climatic model for drought planning.” Water Resour. Manage., 26(2), 329–357.
Kiehl, J. T., Hack, J. J., Bonan, G. B., Boville, B. A., Williamson, D. L., and Rasch, P. J. (1998). “The national center for atmospheric research community climate model: CCM3.” J. Clim., 11(6), 1131–1149.
Li, L., Hao, Z.-C., Wang, J.-H., Wang, Z.-H., and Yu, Z.-B. (2008). “Impact of future climate change on runoff in the head region of the yellow river.” J. Hydrol. Eng., 347–354.
McFarlane, N. A., Boer, G. J., Blanchet, J.-P., and Lazare, M. (1992). “The canadian climate centre second-generation general circulation model and its equilibrium climate.” J. Clim., 5(10), 1013–1044.
Mereu, S., et al. (2016). “Operational resilience of reservoirs to climate change, agricultural demand, and tourism: A case study from Sardinia.” Sci. Total Environ., 543, 1028–1038.
Minville, M., Brissette, F., and Leconte, R. (2010). “Impacts and uncertainty of climate change on water resource management of the Peribonka River System (Canada).” J. Water Resour. Plan. Manage., 376–385.
O’Neil, K., Bernstein, A., Steinschneider, S., Polebitski, A., and Palmer, R. (2013). “Modeling the impact of climate change on hydropower operations in the Connecticut river basin.” World Environmental and Water Resources Congress 2013: Showcasing the Future—Proc., 2013 Congress, ASCE, Reston, VA, 1175–1184.
Payne, J. T., Wood, A. W., Hamlet, A. F., Palmer, R. N., and Lettenmaier, D. P. (2004). “Mitigating the effects of climate change on the water resources of the Columbia River Basin.” Clim. Change, 62(1–3), 233–256.
Raje, D., and Mujumdar, P. P. (2010). “Reservoir performance under uncertainty in hydrologic impacts of climate change.” Adv. Water Resour., 33(3), 312–326.
Razmara, P., Motiee, H., Massah Bavani, A., Saghafian, B., and Torabi, S. (2016). “Risk assessment of climate change impacts on runoff in Urmia Lake Basin, Iran.” J. Hydrol. Eng., 4016023.
Reis, J., Culver, T. B., Block, P. J., and McCartney, M. P. (2016). “Evaluating the impact and uncertainty of reservoir operation for malaria control as the climate changes in Ethiopia.” Clim. Change, 136(3–4), 601–614.
Roeckner, E., et al. (2003). “The atmospheric general circulation model ECHAM5. Part I: Model description.” Max-Planck-Institut für Meteorologie Report Series, Hamburg, Germany.
Roeckner, E., Arpe, K., and Bengtsson, L. (1996). “The atmospheric general circulation model ECAHM-4: Model description and simulation of present-day climate.” Max-Planck-Institut für Meteorologie Report Series, Hamburg, Germany, 1–171.
Schmidt, G. A., et al. (2006). “Present-day atmospheric simulations using GISS ModelE: Comparison to in situ, satellite, and reanalysis data.” J. Clim., 19(2), 153–192.
Shahid, S. (2011). “Impact of climate change on irrigation water demand of dry season Boro rice in northwest Bangladesh.” Clim. change, 105(3–4), 433–453.
Shibata, K., Yoshimura, H., Ohizumi, M., Hosaka, M., and Sugi, M. (1999). “A simulation of troposphere, stratosphere and mesosphere with an MRI/JMA98 GCM.” Pap. Meteorol. Geophys., 50(1), 15–53.
Smith, M. (1992). “CROPWAT: A computer program for irrigation planning and management.” FAO Irrigation and Drainage Paper 46, Food and Agriculture Organization, Rome.
Soundharajan, B.-S., Adeloye, A. J., and Remesan, R. (2016). “Evaluating the variability in surface water reservoir planning characteristics during climate change impacts assessment.” J. Hydrol., 538, 625–639.
SPM, I. S. (2000). “Summary for policymakers, emissions scenarios.”, 113.
Sriwongsitanon, N., and Taesombat, W. (2011). “Estimation of the IHACRES model parameters for flood estimation of ungauged catchments in the upper Ping River basin.” Kasetsart J. Nat. Sci., 45(5), 917–931.
Storn, R., and Price, K. (1997). “Differential evolution—A simple and efficient heuristic for global optimization over continuous spaces.” J. Global Optim., 11(4), 341–359.
Turner, S. W. D., and Galelli, S. (2016). “Water supply sensitivity to climate change: An R package for implementing reservoir storage analysis in global and regional impact studies.” Environ. Modell. Software, 76, 13–19.
Valverde, P., Serralheiro, R., de Carvalho, M., Maia, R., Oliveira, B., and Ramos, V. (2015). “Climate change impacts on irrigated agriculture in the Guadiana river basin (Portugal).” Agric. Water Manage., 152, 17–30.
Wang, W., et al. (2015). “Spatial and temporal variations in hydro-climatic variables and runoff in response to climate change in the Luanhe River basin, China.” Stochastic Environ. Res. Risk Assess., 29(4), 1117–1133.
Wilby, R. L., and Harris, I. (2006). “A framework for assessing uncertainties in climate change impacts: Low-flow scenarios for the River Thames, UK.” Water Resour. Res., 42(2), W02519.
Yang, T., Gao, X., Sellars, S. L., and Sorooshian, S. (2015). “Improving the multi-objective evolutionary optimization algorithm for hydropower reservoir operations in the California Oroville-Thermalito complex.” Environ. Modell. Software, 69, 262–279.
Zamani, R., Akhond-Ali, A.-M., Roozbahani, A., and Fattahi, R. (2016). “Risk assessment of agricultural water requirement based on a multimodel ensemble framework, southwest of Iran.” Theor. Appl. Climatol., 1–13.
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Published In
Journal of Hydrologic Engineering
Volume 22 • Issue 10 • October 2017
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©2017 American Society of Civil Engineers.
History
Received: Jul 29, 2016
Accepted: Apr 5, 2017
Published online: Jul 22, 2017
Published in print: Oct 1, 2017
Discussion open until: Dec 22, 2017
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