Dynamic OOBNs applied to water management in dams

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, abstracti...

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Bibliographic Details
Published in2016 IEEE International Conference on Knowledge Engineering and Applications (ICKEA) pp. 255 - 260
Main Authors Flores, M. Julia, Nicholson, Ann E., Ropero, Rosa F.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2016
Subjects
Australia
bayesian networks
Biological system modeling
Computational modeling
dams
dynamic modelling
ecology
knowledge engineering
Microstrip
oobns
Robustness
Turning
water reservoirs
water resources
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Summary: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.
ISBN:1509034706
9781509034703
DOI:10.1109/ICKEA.2016.7803030