Environmental monitoring, modeling, and management and Bayesian Belief Networks

M. Kemblowski, P. C. Johnson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The paper addresses the problem of rational environmental monitoring, modeling, and management (Em 3), and associated with it decision-making processes that are characterized by a high degree of uncertainty with respect to the input data (such as contaminant loads), fate and transport parameters (such as degradation rates), process models, and connections between such models. We propose to deal with these complex issues in the framework of probabilistic expert systems, and more specifically, Bayesian Belief Networks (BBNs). We discuss the applicability of BBNs to Em 3 via a simple example related to groundwater monitoring. This is followed by an application of BBNs to a forensic subsurface contamination problem.

Original languageEnglish (US)
Title of host publicationDevelopment and Application of Computer Techniques to Environmental Studies VIII
EditorsG. Ibarra-Berastegi, C.A. Brebbia, P. Zannetti
Pages133-142
Number of pages10
StatePublished - Dec 1 2000
EventEighth International Conference on Development and Application of Computer Techniques to Environmental Studies,ENVIROSOFT 2000 - Bilbao, Spain
Duration: Jun 28 2000Jun 30 2000

Publication series

NameEnvironmental Studies
Volume4

Other

OtherEighth International Conference on Development and Application of Computer Techniques to Environmental Studies,ENVIROSOFT 2000
CountrySpain
CityBilbao
Period6/28/006/30/00

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'Environmental monitoring, modeling, and management and Bayesian Belief Networks'. Together they form a unique fingerprint.

  • Cite this

    Kemblowski, M., & Johnson, P. C. (2000). Environmental monitoring, modeling, and management and Bayesian Belief Networks. In G. Ibarra-Berastegi, C. A. Brebbia, & P. Zannetti (Eds.), Development and Application of Computer Techniques to Environmental Studies VIII (pp. 133-142). (Environmental Studies; Vol. 4).