### Abstract

A set-membership (bounded-error) estimation approach can handle small and poor quality data sets as it does not require testing of statistical assumptions which is possible only with large informative data sets. Thus, set-membership estimation can be a good tool in the modelling of agri-environmental systems, which typically suffers from limited and poor quality observational data sets. The objectives of the paper are (i) to demonstrate how six parameters in an agri-environmental model, developed to estimate NH_{3} volatilisation in flooded rice systems, were estimated based on two data sets using a set-membership approach, and (ii) to compare the set-membership approach with conventional non-linear least-squares methods. Results showed that the set-membership approach is efficient in retrieving feasible parameter-vectors compared with non-linear least-squares methods. The set of feasible parameter-vectors allows the formation of a dispersion matrix of which the eigenvalue decomposition reflects the parameter sensitivity in a region.

Original language | English |
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Pages (from-to) | 138-150 |

Journal | Environmental Modelling & Software |

Volume | 88 |

DOIs | |

Publication status | Published - 2017 |

### Keywords

- Ammonia volatilisation
- Bounded-error
- Flooded rice
- Model calibration
- Parameter estimation
- Set-membership approach
- Uncertainty analysis