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Using Bayesian networks to model watershed management decisions: an East Canyon Creek case study
| Venue: | Journal of Hydroinformatics |
| Citations: | 1 - 0 self |
BibTeX
@ARTICLE{(corresponding_usingbayesian,
author = {Daniel P. Ames (corresponding and Bethany T. Neilson and David K. Stevens and Upmanu Lall},
title = {Using Bayesian networks to model watershed management decisions: an East Canyon Creek case study},
journal = {Journal of Hydroinformatics},
year = {},
volume = {7},
pages = {267--282}
}
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Abstract
An approach to developing and using Bayesian networks to model watershed management decisions is presented with a case study application to phosphorous management in the East Canyon watershed in Northern Utah, USA. The Bayesian network analysis includes a graphical model of the key variables in the system and conditional and marginal probability distributions derived from a variety of data and information sources. The resulting model is used to 1) estimate the probability of meeting legal water quality requirements for phosphorous in East Canyon Creek under several management scenarios, and 2) estimate the probability of increased recreational use of East Canyon Reservoir and subsequent revenue under these scenarios. Key Words: Bayesian networks, water quality modeling, watershed decision support
Keyphrases
bayesian network watershed management decision east canyon creek case study subsequent revenue decision support key word legal water quality requirement increased recreational use water quality modeling east canyon graphical model phosphorous management key variable marginal probability distribution several management scenario case study application northern utah bayesian network analysis east canyon creek east canyon reservoir information source
