Dynamic OOBNs applied to water management in dams

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

doi:10.1109/ICKEA.2016.7803030

Dynamic OOBNs applied to water management in dams

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

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

1 Citation (Scopus)

Abstract

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 language	English
Title of host publication	2016 IEEE International Conference on Knowledge Engineering and Applications, ICKEA 2016
Subtitle of host publication	September 28-30, 2016, Singapore [Proceedings]
Place of Publication	Piscataway, NJ
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	255-260
Number of pages	6
ISBN (Electronic)	9781509034710
DOIs	https://doi.org/10.1109/ICKEA.2016.7803030
Publication status	Published - 30 Dec 2016
Event	IEEE International Conference on Knowledge Engineering and Applications 2016 - Singapore, Singapore Duration: 28 Sep 2016 → 30 Sep 2016 https://ieeexplore.ieee.org/xpl/conhome/7786266/proceeding (Proceedings)

Conference

Conference	IEEE International Conference on Knowledge Engineering and Applications 2016
Abbreviated title	ICKEA 2016
Country/Territory	Singapore
City	Singapore
Period	28/09/16 → 30/09/16
Internet address	https://ieeexplore.ieee.org/xpl/conhome/7786266/proceeding (Proceedings)

Keywords

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

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10.1109/ICKEA.2016.7803030

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Flores, M. J., Nicholson, A. E., & Ropero, R. F. (2016). Dynamic OOBNs applied to water management in dams. In 2016 IEEE International Conference on Knowledge Engineering and Applications, ICKEA 2016: September 28-30, 2016, Singapore [Proceedings] (pp. 255-260). [7803030] IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICKEA.2016.7803030

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abstract = "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.",

keywords = "Bayesian networks, dams, Dynamic modelling, Ecology, Knowledge engineering, OOBNs, water reservoirs, Water resources",

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publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

note = "IEEE International Conference on Knowledge Engineering and Applications 2016, ICKEA 2016 ; Conference date: 28-09-2016 Through 30-09-2016",

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Flores, MJ, Nicholson, AE & Ropero, RF 2016, Dynamic OOBNs applied to water management in dams. in 2016 IEEE International Conference on Knowledge Engineering and Applications, ICKEA 2016: September 28-30, 2016, Singapore [Proceedings]., 7803030, IEEE, Institute of Electrical and Electronics Engineers, Piscataway, NJ, pp. 255-260, IEEE International Conference on Knowledge Engineering and Applications 2016, Singapore, Singapore, 28/09/16. https://doi.org/10.1109/ICKEA.2016.7803030

Dynamic OOBNs applied to water management in dams. / Flores, M. Julia; Nicholson, Ann E.; Ropero, Rosa F.

2016 IEEE International Conference on Knowledge Engineering and Applications, ICKEA 2016: September 28-30, 2016, Singapore [Proceedings]. Piscataway, NJ : IEEE, Institute of Electrical and Electronics Engineers, 2016. p. 255-260 7803030.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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KW - dams

KW - Dynamic modelling

KW - Ecology

KW - Knowledge engineering

KW - OOBNs

KW - water reservoirs

KW - Water resources

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ER -

Dynamic OOBNs applied to water management in dams

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