A Prototype Bayesian Belief Network For The Diagnosis Of Acidification In Welsh Rivers
Price
Free (open access)
Transaction
Volume
41
Pages
10
Published
2000
Size
1,224 kb
Paper DOI
10.2495/ENV000151
Copyright
WIT Press
Author(s)
D.J. Trigg, W.J. Walley & S.J. Ormerod
Abstract
The paper describes the development of a prototype Bayesian Belief Network (BBN) that models acidification in Welsh Rivers, It was based on data from the 102 river sites surveyed in the 1995 Welsh Acid Waters Survey. The objectives of the study were: a) to test the suitability of BBNs for the diagnosis of river health; and b) to test the viability of a data-based approach to the development of a prototype. The results of performance tests on the model, based upon its ability to predict pH, aluminium concentration and trout density using macro- invertebrate data, are compared to those achieved by three multiple linear regression (MLR) models. The results of like-for-like tests on the MLR
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