Hydrologic models for emergency decision support using Bayesian networks

Molina, Martin and Fuentetaja, Raquel and Garrote de Marcos, Luis (2005). Hydrologic models for emergency decision support using Bayesian networks. In: "European Conference ECSQARU 2005", July, 2005.

Description

Title: Hydrologic models for emergency decision support using Bayesian networks
Author/s:
  • Molina, Martin
  • Fuentetaja, Raquel
  • Garrote de Marcos, Luis
Item Type: Presentation at Congress or Conference (Article)
Event Title: European Conference ECSQARU 2005
Event Dates: July, 2005
Title of Book: Lecture Notes in Artificial Intelligence
Date: 2005
Volume: 3571
Subjects:
Faculty: Facultad de Informática (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: None

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Abstract

In the presence of a river flood, operators in charge of control must take decisions based on imperfect and incomplete sources of information (e.g., data provided by a limited number sensors) and partial knowledge about the structure and behavior of the river basin. This is a case of reasoning about a complex dynamic system with uncertainty and real-time constraints where bayesian networks can be used to provide an effective support. In this paper we describe a solution with spatio-temporal bayesian networks to be used in a context of emergencies produced by river floods. In the paper we describe first a set of types of causal relations for hydrologic processes with spatial and temporal references to represent the dynamics of the river basin. Then we describe how this was included in a computer system called SAIDA to provide assistance to operators in charge of control in a river basin. Finally the paper shows experimental results about the performance of the model.

More information

Item ID: 14205
DC Identifier: http://oa.upm.es/14205/
OAI Identifier: oai:oa.upm.es:14205
Deposited by: Martin Molina
Deposited on: 20 Dec 2012 08:00
Last Modified: 21 Apr 2016 13:44
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