Neuro-Fuzzy Models For Use In River Basin District Management

Final Report for the STRIVE-funded project: 2005-FS5-GIS-7

Summary: ERC Report 18 - Ahmed Elssidig Nasr and Michael Bruen

Published: 2011

ISBN: 978-1-84095-389-3

Pages: 90

Filesize: 2,635KB

Format: pdf

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Tackling the problem of eutrophication in fresh waters is at the top of the agenda for the implementation of the Water Framework Directive (WFD) in Ireland. One major pressure is phosphorus loading from diffuse sources. Therefore, there is a need to apply appropriate measures to reduce the diffuse phosphorus pollution at a catchment scale in many river basin districts (RBDs). As implementing these measures disturbs the existing system in the catchment, it is important to be able to predict their impact. This requires the use of a reliable mathematical model to represent the system. Catchment models have become an essential component of sustainable ecosystems modelling and are now used in a much wider range of socio-economic ecologic applications. This study contributes to this subject by developing a state-of-the-art adaptive neuro-fuzzy inference system (ANFIS) based on a suite of two new diffuse phosphorus (P) models: (i) the adaptive neuro-fuzzy inference system phosphorus (ANFISP) model and (ii) the neuro-fuzzy national P model.

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