Building a metamodel of an irrigation district distributed-parameter model

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-parametermodel 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 distributedparameter
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.