Skip to main content
SpringerLink
Log in

Optimal Reservoir Operation Based on Conjunctive Use of Surface Water and Groundwater Using Neuro-Fuzzy Systems

  • Published:
Water Resources Management Aims and scope Submit manuscript

Abstract

Reservoir operation cannot be carried out without due heed to surface water and groundwater resources, since neglecting either will have irreversible consequences. Optimal operation of the Zayandehrood Dam which supplies water into the Zayandehrood River basin in the central plateau of Iran is a case in point which warrants due consideration paid to both dam operation and the climate conditions in the region suffering from a history of successive droughts. The main objective of the present research is to develop operation rules for the Zayandehrood reservoir through a combined perspective of both surface and ground water resources using the fuzzy inference system, and adaptive neuro-fuzzy inference system. The objective is to determine the share of the Zayandehrood reservoir in meeting downstream water demands. For this purpose, the water shortage and the dramatic groundwater drawdown in the Zayandehrood River basin faced with in recent years have been studied in an attempt to develop operation models capable of controlling groundwater drawdown. The models indicate that not only can groundwater drawdown be controlled, but that it is also possible to establish a greater sustainability. Different operation models have been compared in terms of their operation criteria. Results show that the ANFIS model composed of optimal data enjoys a higher sustainability compared to others.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

References

  • Ajami NK, Hornberger M, Sunding DL (2008) Sustainable water resources management under hydrological uncertainty. Water Resour Res 44, W11406. doi:10.1029/2007WR006736

    Article  Google Scholar 

  • Bender MJ, Simonovic SP (2000) A fuzzy compromise to water resource systems planning under uncertainty. Fuzzy Set Syst 115:35–44

    Article  Google Scholar 

  • Cancelliere A, Giuliano G, Ancarani A, Rossi G (2002) A neural networks approach for deriving irrigation reservoir operating rules. Water Resour Manage 16(1):71–88

    Article  Google Scholar 

  • Chandramouli V, Raman H (2001) Multireservoir modeling with dynamic programming and neural networks. J Water Resour Plan Manage 127(2):89–98

    Article  Google Scholar 

  • Chaves P, Kojiri T (2007) Deriving reservoir operational strategies considering water quantity and quality objectives by stochastic fuzzy neural networks. Adv Water Resour 30(5):1329–1341

    Article  Google Scholar 

  • Dombi J (1990) Membership function as an evaluation. Fuzzy Set Syst 35:1–21

    Article  Google Scholar 

  • Duckstein L, Plate E, Benedini A (1987) Water engineering reliability and risk: a system framework. Engineering Reliability and Risk in Water Resources. NATO ASI Series, No. 124:1–18

  • Hashimoto T, Stedinger JR, Loucks DP (1982) Reliability, resiliency, and vulnerability criteria for water resources system performance evaluation. Water Resour Res 18(1):14–20

    Article  Google Scholar 

  • Jain SK, Singh VP (2003) Water resources systems planning and management, 1st edn. Elsevier, Amsterdam

    Google Scholar 

  • Jain SK, Das A, Srivastava DK (1999) Application of ANN for reservoir inflow prediction and operation. J Water Resour Plan Manage 125(5):263–271

    Article  Google Scholar 

  • Jairaj PG, Vedula S (2000) Multireservoir system optimization using fuzzy mathematical programming. Water Resour Manage 14(6):457–472

    Article  Google Scholar 

  • Jamab Consulting Engineers (2007) Water resources planning in Zayandehrood River basin. JCE Publication, Tehran (In Persian)

    Google Scholar 

  • Jang J-SR (1993) ANFIS-adaptive-network-based fuzzy inference system. IEEE Trans Syst Man Cybern 23(3):665–685

    Article  Google Scholar 

  • Karamouz M, Szidarovszky F, Zahraie B (2003) Water resources systems analysis. Lewis, Boca Raton

    Google Scholar 

  • Klir GJ, Yuan B (1997) Fuzzy sets and fuzzy logic, Prentice Hall of India, (Original edition) Prentice Hall Inc., Englewood Cliffs

  • Labadie JW (2004) Optimal operation of multireservoir systems: state-of-the-art review. J Water Resour Plan Manage 130(2):93–111

    Article  Google Scholar 

  • Lin CT, Lee CSG (1996) Neural fuzzy systems. Prentice-Hall, Englewood Cliffs

    Google Scholar 

  • Liu P, Guo S, Xiong L, Li W, Zhang H (2006) Deriving reservoir refill operating rules by using the proposed DPNS model. Water Resour Manage 20(3):337–357

    Article  Google Scholar 

  • Loucks DP (1997) Quantifying trends in system sustainability. Hydrol Sci J 42(4):513–530

    Article  Google Scholar 

  • Loucks DP, van Beek E (2005) Water resources systems planning and management: an introduction to methods, models and applications. UNESCO, Paris

    Google Scholar 

  • Mays LW, Tung YK (1996) Systems analysis. In: Mays LW (ed) Water resources handbook. McGraw-Hill, New York

    Google Scholar 

  • Mehta R, Jain SK (2009) Optimal operation of a multi-purpose reservoir using neuro-fuzzy technique. Water Resour Manage 23(3):509–529

    Article  Google Scholar 

  • Milutin D, Bogardi JJ (1995) Reliability criteria in the assessment of a multiple-reservoir operational strategy under Mediterranean conditions. Proceedings of the European Symposium on Water Resources Management in the Mediterranean under Drought or Water Shortage Conditions: Economic, Technical, Environmental and Social Issues, 265–271

  • Mousavi SJ, Mahdizadeh K, Afshar A (2004) A stochastic dynamic programming model with fuzzy storage states for reservoir operations. Adv Water Resour 27(11):1105–1110

    Article  Google Scholar 

  • Mousavi SJ, Ponnambalam K, Karray F (2005) Reservoir operation using a dynamic programming fuzzy rule-based approach. Water Resour Manage 19(5):655–672

    Article  Google Scholar 

  • Murray-Rust H, Salemi HR, Droogers P (2002) Water resources development and water utilization in the Zayandeh Rud basin, Iran. IAERI-IWMI Research Reports 14

  • Neelakantan TR, Pundarikanthan NV (2000) Neural network-based simulation–optimization model for reservoir operation. J Water Resour Plan Manage 126(2):57–64

    Article  Google Scholar 

  • Panigrahi DP, Mujumdar PP (2000) Reservoir operation modeling with fuzzy logic. Water Resour Manag 14(2):89–109

    Article  Google Scholar 

  • Raman H, Chandramouli V (1996) Deriving a general operating policy for reservoirs using neural network. J Water Resour Plan Manage 122(5):342–347

    Article  Google Scholar 

  • Rani D, Moreira MM (2010) Simulation-optimization modeling: a survey and potential application in reservoir system operation. Water Resour Manage 24:1107–1138

    Article  Google Scholar 

  • ReVelle C (1999) Optimizing reservoir resources: including a new model for reservoir reliability. Wiley, New York

    Google Scholar 

  • Ross TJ (1997) Fuzzy logic with engineering applications. McGraw Hill International Editions, Electrical Engineering Series

  • Russell SO, Campbell PF (1996) Reservoir operating rules with fuzzy programming. J Water Resour Plan Manage 122(3):165–170

    Article  Google Scholar 

  • Safavi HR, Alijanian MA (2011) Optimal crop planning and conjunctive use of surface water and groundwater resources using fuzzy dynamic programming. J Irrig Drain Eng 137(6):383–397

    Article  Google Scholar 

  • Safavi HR, Bahreini GR (2009) Conjunctive simulation of surface water and groundwater resources under uncertainty. Iranian J Sci Technol Trans B, Engineering 33(B1):79–94

    Google Scholar 

  • Safavi HR, Darzi F, Mariño MA (2010) Simulation-optimization modeling of conjunctive use of surface water and groundwater. Water Resour Manage 24:1965–1988

    Article  Google Scholar 

  • Shrestha BP, Duckstein L, Stakhiv EZ (1996) Fuzzy rule-based modeling of reservoir operation. J Water Resour Plan Manage 122(4):262–269

    Article  Google Scholar 

  • Soltani S (2010) Determination of water right of Gavkhooni wetland. Dept. of Natural Resources, Isfahan University of Technology, Isfahan (In Persian)

    Google Scholar 

  • Tilmant A, Vanclooster M, Duckstein L, Persoons E (2002) Comparison of fuzzy and nonfuzzy optimal reservoir operating policies. J Water Resour Plan Manage 128(6):390–398

    Article  Google Scholar 

  • Tilmant A, Pinte D, Goor Q (2008) Assessing marginal water values in multipurpose multireservoir systems via stochastic programming. Water Resour Res 44(12). doi:10.1029/2008wr007024

  • Todd KD, Mays LW (2005) Groundwater hydrology. Wiley, NJ, USA

    Google Scholar 

  • Wurbs RA (1993) Reservoir-system simulation and optimization models. J Water Resour Plan Manage 119(4):455–472

    Article  Google Scholar 

  • Wurbs RA (1996) Modeling and analysis of reservoir system operations. Prentice-Hall, Upper Saddle River

    Google Scholar 

  • Yeh WW-G (1985) Reservoir management and operations models: a state-of-the-art review. Water Resour Res 21(12):1797–1818

    Article  Google Scholar 

  • Zayandab Consulting Engineers (2008) Water resources and demands in Zayandehrood River basin, Isfahan, Iran (In Persian)

Download references

Acknowledgments

The authors wish to thank to Iran Water Resources Management Company for financial support of this research and providing all necessary data.

Author information

Authors and Affiliations

  1. Department of Civil Engineering, Isfahan University of Technology, Isfahan, Iran

    Hamid R. Safavi, Iman Chakraei, Abdolreza Kabiri-Samani & Mohammad H. Golmohammadi

Authors
  1. Hamid R. Safavi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Iman Chakraei
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Abdolreza Kabiri-Samani
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Mohammad H. Golmohammadi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Hamid R. Safavi.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Safavi, H.R., Chakraei, I., Kabiri-Samani, A. et al. Optimal Reservoir Operation Based on Conjunctive Use of Surface Water and Groundwater Using Neuro-Fuzzy Systems. Water Resour Manage 27, 4259–4275 (2013). https://doi.org/10.1007/s11269-013-0405-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11269-013-0405-1

Keywords

Search

Navigation