Dynamic OOBNs applied to water management in dams

M. Julia Flores, Ann E. Nicholson, Rosa F. Ropero

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    1 Citation (Scopus)


    Bayesian networks (BNs) are a mature technology now widely used for modelling complex domains requiring decision making under certainty, such as environmental modelling. Object-oriented BNs (OOBNs) have been proposed to help manage the modelling complexity through structured decomposition, abstraction and encapsulation. OOBNs have been applied previously to water catchment management, but without explicit spatial modelling. In this paper, we present a novel schema that captures the spatial relationships between connected dams, as well as the temporal dynamics of the catchment over successive seasons. This is validated on an abstracted 5 dam example, with results presented for two representative cases.

    Original languageEnglish
    Title of host publication2016 IEEE International Conference on Knowledge Engineering and Applications, ICKEA 2016
    Subtitle of host publicationSeptember 28-30, 2016, Singapore [Proceedings]
    Place of PublicationPiscataway, NJ
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Number of pages6
    ISBN (Electronic)9781509034710
    Publication statusPublished - 30 Dec 2016
    EventIEEE International Conference on Knowledge Engineering and Applications 2016 - Singapore, Singapore
    Duration: 28 Sept 201630 Sept 2016
    https://ieeexplore.ieee.org/xpl/conhome/7786266/proceeding (Proceedings)


    ConferenceIEEE International Conference on Knowledge Engineering and Applications 2016
    Abbreviated titleICKEA 2016
    Internet address


    • Bayesian networks
    • dams
    • Dynamic modelling
    • Ecology
    • Knowledge engineering
    • OOBNs
    • water reservoirs
    • Water resources

    Cite this