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Building a metamodel of an irrigation district distributed-parameter model

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  • Galelli, S.
  • Gandolfi, C.
  • Soncini-Sessa, R.
  • Agostani, D.
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    Abstract

    Complex decision-making problems, related to planning and management of irrigation water resources, generally preclude the use of large, distributed-parameter models, which are then commonly substituted by lumped-parameter models. This paper, with the aim of improving the quality of these latter, introduces a new approach for their design. This approach is based on metamodelling, which proposes to identify a simple, lumped-parameter model on the basis of the data produced via simulation with a distributed-parameter model. The approach proposed is tested on a real-world case study, namely the identification of a metamodel describing the water demand of the Muzza-Bassa Lodigiana irrigation district (Italy). The metamodel, which inherits the physical description of the original distributed-parameter model, is sufficiently simple to permit the resolution of an optimal control problem, i.e. the design, via stochastic dynamic programming, of the release policy of Lake Como, serving the Muzza irrigation district.

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    Bibliographic Info

    Article provided by Elsevier in its journal Agricultural Water Management.

    Volume (Year): 97 (2010)
    Issue (Month): 2 (February)
    Pages: 187-200

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    Handle: RePEc:eee:agiwat:v:97:y:2010:i:2:p:187-200

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    Web page: http://www.elsevier.com/locate/agwat

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    Keywords: Flood irrigation water management Distributed-parameter models Lumped-parameter models Metamodels Green water Blue water;

    References

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    1. Singh, R. & Subramanian, K. & Refsgaard, J. C., 1999. "Hydrological modelling of a small watershed using MIKE SHE for irrigation planning," Agricultural Water Management, Elsevier, vol. 41(3), pages 149-166, August.
    2. Shangguan, Zhouping & Shao, Mingan & Horton, Robert & Lei, Tingwu & Qin, Lin & Ma, Jianqing, 2002. "A model for regional optimal allocation of irrigation water resources under deficit irrigation and its applications," Agricultural Water Management, Elsevier, vol. 52(2), pages 139-154, January.
    3. Bouzaher, Aziz & Lakshminarayan, P. G. & Cabe, Richard & Carriquiry, Alicia L. & Gassman, Philip W. & Shogren, Jason F., 1993. "Metamodels and Nonpoint Pollution Policy in Agriculture," Staff General Research Papers 531, Iowa State University, Department of Economics.
    4. Kleijnen, Jack P. C. & Sargent, Robert G., 2000. "A methodology for fitting and validating metamodels in simulation," European Journal of Operational Research, Elsevier, vol. 120(1), pages 14-29, January.
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    Cited by:
    1. Nana, E. & Corbari, C. & Bocchiola, D., 2014. "A model for crop yield and water footprint assessment: Study of maize in the Po valley," Agricultural Systems, Elsevier, vol. 127(C), pages 139-149.

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