Document Type : Research Paper
Authors
Department of Civil Engineering, Faculty of Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran.
Abstract
In this study, water resources system of Great Karun watershed is modelled as a semi-distributed system considering the diversity of demand sites downstream of Olya Gotvand and Dez reservoirs in southwest of Iran. The main aim of the present study is to develop a basin's decision-support system to assist decision-makers in examining the impacts of different operating policies prior to their implementation. According to the basic characteristics of the system, a decision-support system is developed applying water evaluation and planning system (WEAP) model. Calibration of the developed model is important based on the Demand sites diversity and the spatial scale of the modelled basin. To calibrate the simulation model, a Harmony Search (HS) Optimization Algorithm is applied in an innovative framework. The comparison of the achieved results with the observed data indicates the accuracy of the calibrated model. It is also clear that, regardless of the quality parameters of the flow, all urban, industrial, agricultural and aquaculture demands at the basin level have been satisfactorily fulfilled in the study period. Of course, it should be noted that by taking into account the qualitative criteria, the obtained results will obviously change.
Keywords
Abadi L.S.K., Shamsai A., Goharnejad H., An analysis of the sustainability of basin water resources using Vensim model, KSCE Journal of Civil Engineering 19 (2015) 1941-1949.
Abed-Elmdoust A., and Kerachian R., Evaluating the relative power of water users in inter-basin water transfer systems, Water Resources Management 28 (2014) 495-509.
Abrishamchi A., and Tajrishi M., Interbasin water transfer in Iran. In Water conservation, reuse, and recycling: proceeding of an Iranian American workshop, Washingon, DC: The National Academies Press (2014) 252-271.
Adib A., Mirsalari S.B., Ashrafi S.M., Prediction of meteorological and hydrological phenomena by different climatic scenarios in the Karkheh watershed (south west of Iran), Scientia Iranica, (In Press).
Afkhami M., Shariat M., Jaafarzadeh N., Ghadiri H., Nabizadeh R., Developing a water quality management model for Karun and Dez Rivers, Journal of Environmental Health Science & Engineering 4 (2007a) 99-106.
Afkhami M., Shariat M., Jaafarzadeh N., Ghadiri H., Nabizadeh R., Regional water quality management for the Karun–Dez River basin, Iran, Water and Environment Journal 21 (2007b) 192-199.
Afzali R., Mousavi S.J., Ghaheri A., Reliability-based simulation-optimization model for multireservoir hydropower systems operations: Khersan experience, Journal of Water Resources Planning and Management 134 (2008) 24-33.
Ahmadi Najl A., Haghighi A., Mohammad Vali Samani H., Simultaneous optimization of operating rules and rule curves for multireservoir systems using a self-adaptive simulation-GA model, Journal of Water Resources Planning and Management 142 (2016).
Ashrafi S.M., Ashrafi S.F., Moazami S., Developing self-adaptive melody search algorithm for optimal operation of multi-reservoir systems, Journal of Hydraulic Structures 3 (2017) 35-48.
Ashrafi S.M., and Dariane A.B., A novel and effective algorithm for numerical optimization: melody search (MS), in hybrid intelligent systems (HIS), 11th International Conference on (2011) 109-114.
Ashrafi S.M., and Dariane A.B., Performance Evaluation of an Improved Harmony Search Algorithm for Numerical Optimization: Melody Search (MS), Engineering Applications of Artificial Intelligence 26 (2013) 1301-1321.
Ashrafi S.M., and Dariane A.B., Coupled operating rules for optimal operation of multi-reservoir systems, Water Resources Management 31 (2017) 4505-4520.
Ashrafi S.M., and Kourabbaslou N.E., An Efficient Adaptive Strategy for Melody Search Algorithm, International Journal of Applied Metaheuristic Computing 6 (2015) 1-37.
Abed-Elmdoust A., and Kerachian R., Evaluating the relative power of water users in inter-basin water transfer systems, Water Resources Management 28 (2014) 495-509.
Abrishamchi A., and Tajrishi M., Interbasin water transfer in Iran. In Water conservation, reuse, and recycling: proceeding of an Iranian American workshop, Washingon, DC: The National Academies Press (2014) 252-271.
Adib A., Mirsalari S.B., Ashrafi S.M., Prediction of meteorological and hydrological phenomena by different climatic scenarios in the Karkheh watershed (south west of Iran), Scientia Iranica, (In Press).
Afkhami M., Shariat M., Jaafarzadeh N., Ghadiri H., Nabizadeh R., Developing a water quality management model for Karun and Dez Rivers, Journal of Environmental Health Science & Engineering 4 (2007a) 99-106.
Afkhami M., Shariat M., Jaafarzadeh N., Ghadiri H., Nabizadeh R., Regional water quality management for the Karun–Dez River basin, Iran, Water and Environment Journal 21 (2007b) 192-199.
Afzali R., Mousavi S.J., Ghaheri A., Reliability-based simulation-optimization model for multireservoir hydropower systems operations: Khersan experience, Journal of Water Resources Planning and Management 134 (2008) 24-33.
Ahmadi Najl A., Haghighi A., Mohammad Vali Samani H., Simultaneous optimization of operating rules and rule curves for multireservoir systems using a self-adaptive simulation-GA model, Journal of Water Resources Planning and Management 142 (2016).
Ashrafi S.M., Ashrafi S.F., Moazami S., Developing self-adaptive melody search algorithm for optimal operation of multi-reservoir systems, Journal of Hydraulic Structures 3 (2017) 35-48.
Ashrafi S.M., and Dariane A.B., A novel and effective algorithm for numerical optimization: melody search (MS), in hybrid intelligent systems (HIS), 11th International Conference on (2011) 109-114.
Ashrafi S.M., and Dariane A.B., Performance Evaluation of an Improved Harmony Search Algorithm for Numerical Optimization: Melody Search (MS), Engineering Applications of Artificial Intelligence 26 (2013) 1301-1321.
Ashrafi S.M., and Dariane A.B., Coupled operating rules for optimal operation of multi-reservoir systems, Water Resources Management 31 (2017) 4505-4520.
Ashrafi S.M., and Kourabbaslou N.E., An Efficient Adaptive Strategy for Melody Search Algorithm, International Journal of Applied Metaheuristic Computing 6 (2015) 1-37.
Assani A.A., Landry R., Daigle J., Chalifour A., Reservoirs effects on the interannual variability of winter and spring streamflow in the St-Maurice River Watershed (Quebec, Canada), Water Resources Management 25 (2011) 3661-3673.
Bastiaanssen W.G.M., Noordman E.J.M., Pelgrum H., Davids G., Thoreson B.P., Allen R.G., SEBAL model with remotely sensed data to improve water-resources management under actual field conditions, Journal of Irrigation and Drainage Engineering 131 (2005) 85-93.
Dehghani M., Saghafian B., Nasiri Saleh F., Farokhnia A., Noori R., Uncertainty analysis of streamflow drought forecast using artificial neural networks and Monte‐Carlo simulation, International Journal of Climatology 34 (2014) 1169-1180.
Dodder R.S., A review of water use in the US electric power sector: insights from systems-level perspectives, Current Opinion in Chemical Engineering 5 (2014) 7-14.
Emamgholizadeh S., Kashi H., Marofpoor I., Zalaghi E., Prediction of water quality parameters of Karoon River (Iran) by artificial intelligence-based models, International Journal of Environmental Science and Technology 11 (2014) 645-656.
Geem Z.W., and Sim K.B., Parameter-setting-free harmony search algorithm, Applied Mathematics and Computation 217 (2010) 3881-3889.
Giupponi C., Decision support systems for implementing the Europe a water framework directive: the MULINO approach, Environmental Modelling & Software 22 (2007) 248-258.
Hosseini-Zare N., Gholami A., Panahpour E., Jafarnejadi A., Pollution load assessment in the soil and water resources: a case study in Karun river drainage basin, southwest of Iran, European Online Journal of Natural and Social Sciences: Proceedings 3 (2014) 427-433.
Hund S.V., Allen D.M., Morillas L., Johnson M.S., Groundwater recharge indicator as tool for decision makers to increase socio-hydrological resilience to seasonal drought, Journal of Hydrology 563 (2018) 1119-1134.
Kaddoura S., El Khatib S., Review of water-energy-food Nexus tools to improve the Nexus modelling approach for integrated policy making, Environmental Science & Policy 77 (2017) 114-121.
Keshavarzi B., Mokhtarzadeh Z., Moore F., Mehr M.R., Lahijanzadeh A., Rostami S., Kaabi H., Heavy metals and polycyclic aromatic hydrocarbons in surface sediments of Karoon River, Khuzestan Province, Iran, Environmental Science and Pollution Research 22 (2015) 19077-19092.
Kim T., Heo J.H., Application of multi-objective genetic algorithms to multireservoir system optimization in the Han River basin, KSCE Journal of Civil Engineering 10 (2006) 371-380.
Labadie J.W., Optimal operation of multireservoir systems: state-of-the-art review, Journal of Water Resources Planning and Management 130 (2004) 93-111.
Madani K., Read L., Shalikarian L., Voting under uncertainty: a stochastic framework for analyzing group decision making problems, Water Resources Management 28 (2014) 1839-1856.
Moazami S., Abdollahipour A., Zakeri Niri M., Ashrafi S.M., Hydrological assessment of daily satellite precipitation products over a basin in Iran, Journal of Hydraulic Structures 2 (2016) 35-45.
Mysiak J., Giupponi C., Rosato P., Towards the development of a decision support system for water resource management, Environmental Modelling & Software 20 (2005) 203-214.
Nahvi A., Daghighi A., Nazif S., The environmental impact assessment of drainage systems: a case study of the Karun river sugarcane development project, Archives of Agronomy and Soil Science 64 (2018) 185-195.
Nikouei A., Zibaei M., Ward F.A., Incentives to adopt irrigation water saving measures for wetlands preservation: an integrated basin scale analysis, Journal of Hydrology 464 (2012) 216-232.
Parkinson S.C., Makowski M., Krey V., Sedraoui K., Almasoud A.H., Djilali N., A multi-criteria model analysis framework for assessing integrated water-energy system transformation pathways, Applied Energy 210 (2018) 477-486.
Safavi H.R., Golmohammadi M.H., Sandoval-Solis S., Expert knowledge based modeling for integrated water resources planning and management in the Zayandehrud River Basin, Journal of Hydrology 528 (2015) 773-789.
Semiromi F.B., and Hassani A.H., Torabian A., Karbassi A.R., Lotfi F.H., Water quality index development using fuzzy logic: A case study of the Karoon River of Iran, African Journal of Biotechnology 10 (2011) 10125-10133.
Sieber J., and Purkey D., Water evaluation and planning system, user guide for WEAP, Stockholm Environment Institute (2015) 223-269.
Sulis A., GRID computing approach for multireservoir operating rules with uncertainty, Environmental Modelling & Software 24 (2009) 859-864.
Sun L., Pan B., Gu A., Lu H., Wang W., Energy–water nexus analysis in the Beijing–Tianjin–Hebei region: Case of electricity sector, Renewable and Sustainable Energy Reviews 93 (2018) 27-34.
Stockholm Environment Institute, Water Evaluation and Planning, WEAP, Licensing, https://www.weap21.org/index.asp?action= 217; 2015a, (accessed 10 November 2018).
Stockholm Environment Institute, Water Evaluation and Planning, WEAP, Why WEAP? https://www.weap21.org/index.asp?action= 201; 2015b, (accessed 15 December 2018).
Toosi S.R., and Samani J.M.V., A new integrated MADM technique combined with ANP, FTOPSIS and fuzzy max-min set method for evaluating water transfer projects, Water Resources Management 28 (2014) 4257-4272.
Bastiaanssen W.G.M., Noordman E.J.M., Pelgrum H., Davids G., Thoreson B.P., Allen R.G., SEBAL model with remotely sensed data to improve water-resources management under actual field conditions, Journal of Irrigation and Drainage Engineering 131 (2005) 85-93.
Dehghani M., Saghafian B., Nasiri Saleh F., Farokhnia A., Noori R., Uncertainty analysis of streamflow drought forecast using artificial neural networks and Monte‐Carlo simulation, International Journal of Climatology 34 (2014) 1169-1180.
Dodder R.S., A review of water use in the US electric power sector: insights from systems-level perspectives, Current Opinion in Chemical Engineering 5 (2014) 7-14.
Emamgholizadeh S., Kashi H., Marofpoor I., Zalaghi E., Prediction of water quality parameters of Karoon River (Iran) by artificial intelligence-based models, International Journal of Environmental Science and Technology 11 (2014) 645-656.
Geem Z.W., and Sim K.B., Parameter-setting-free harmony search algorithm, Applied Mathematics and Computation 217 (2010) 3881-3889.
Giupponi C., Decision support systems for implementing the Europe a water framework directive: the MULINO approach, Environmental Modelling & Software 22 (2007) 248-258.
Hosseini-Zare N., Gholami A., Panahpour E., Jafarnejadi A., Pollution load assessment in the soil and water resources: a case study in Karun river drainage basin, southwest of Iran, European Online Journal of Natural and Social Sciences: Proceedings 3 (2014) 427-433.
Hund S.V., Allen D.M., Morillas L., Johnson M.S., Groundwater recharge indicator as tool for decision makers to increase socio-hydrological resilience to seasonal drought, Journal of Hydrology 563 (2018) 1119-1134.
Kaddoura S., El Khatib S., Review of water-energy-food Nexus tools to improve the Nexus modelling approach for integrated policy making, Environmental Science & Policy 77 (2017) 114-121.
Keshavarzi B., Mokhtarzadeh Z., Moore F., Mehr M.R., Lahijanzadeh A., Rostami S., Kaabi H., Heavy metals and polycyclic aromatic hydrocarbons in surface sediments of Karoon River, Khuzestan Province, Iran, Environmental Science and Pollution Research 22 (2015) 19077-19092.
Kim T., Heo J.H., Application of multi-objective genetic algorithms to multireservoir system optimization in the Han River basin, KSCE Journal of Civil Engineering 10 (2006) 371-380.
Labadie J.W., Optimal operation of multireservoir systems: state-of-the-art review, Journal of Water Resources Planning and Management 130 (2004) 93-111.
Madani K., Read L., Shalikarian L., Voting under uncertainty: a stochastic framework for analyzing group decision making problems, Water Resources Management 28 (2014) 1839-1856.
Moazami S., Abdollahipour A., Zakeri Niri M., Ashrafi S.M., Hydrological assessment of daily satellite precipitation products over a basin in Iran, Journal of Hydraulic Structures 2 (2016) 35-45.
Mysiak J., Giupponi C., Rosato P., Towards the development of a decision support system for water resource management, Environmental Modelling & Software 20 (2005) 203-214.
Nahvi A., Daghighi A., Nazif S., The environmental impact assessment of drainage systems: a case study of the Karun river sugarcane development project, Archives of Agronomy and Soil Science 64 (2018) 185-195.
Nikouei A., Zibaei M., Ward F.A., Incentives to adopt irrigation water saving measures for wetlands preservation: an integrated basin scale analysis, Journal of Hydrology 464 (2012) 216-232.
Parkinson S.C., Makowski M., Krey V., Sedraoui K., Almasoud A.H., Djilali N., A multi-criteria model analysis framework for assessing integrated water-energy system transformation pathways, Applied Energy 210 (2018) 477-486.
Safavi H.R., Golmohammadi M.H., Sandoval-Solis S., Expert knowledge based modeling for integrated water resources planning and management in the Zayandehrud River Basin, Journal of Hydrology 528 (2015) 773-789.
Semiromi F.B., and Hassani A.H., Torabian A., Karbassi A.R., Lotfi F.H., Water quality index development using fuzzy logic: A case study of the Karoon River of Iran, African Journal of Biotechnology 10 (2011) 10125-10133.
Sieber J., and Purkey D., Water evaluation and planning system, user guide for WEAP, Stockholm Environment Institute (2015) 223-269.
Sulis A., GRID computing approach for multireservoir operating rules with uncertainty, Environmental Modelling & Software 24 (2009) 859-864.
Sun L., Pan B., Gu A., Lu H., Wang W., Energy–water nexus analysis in the Beijing–Tianjin–Hebei region: Case of electricity sector, Renewable and Sustainable Energy Reviews 93 (2018) 27-34.
Stockholm Environment Institute, Water Evaluation and Planning, WEAP, Licensing, https://www.weap21.org/index.asp?action= 217; 2015a, (accessed 10 November 2018).
Stockholm Environment Institute, Water Evaluation and Planning, WEAP, Why WEAP? https://www.weap21.org/index.asp?action= 201; 2015b, (accessed 15 December 2018).
Toosi S.R., and Samani J.M.V., A new integrated MADM technique combined with ANP, FTOPSIS and fuzzy max-min set method for evaluating water transfer projects, Water Resources Management 28 (2014) 4257-4272.
)