Output details

Identification of macro-invertebrate taxa as indicators of nutrient enrichment in rivers

<24> This research contributes to the development of artificial intelligence techniques for classifying river water quality. The significance of the study is that it: (i) shows that a mutual-information technique reveals some strong associations between abundance levels of some macro-invertebrate families and nutrient (e.g. agricultural waste) concentration levels, thereby challenging findings reported by others; (ii) proposes the development of an intelligent system for monitoring nutrient enrichment in rivers, and for predicting the benefits of restorative measures, based on a diagnostic and predictive model built on a Bayesian belief network which uses the most discriminating macro-invertebrate families identified in the study.