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Predicting combined sewer overflows chamber depth using artificial neural networks with rainfall radar data. (2014)

First Author: Mounce SR
Attributed to:  Pennine Water Group (PWG); Urban Water Systems for a Changing World funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.2166/wst.2014.024

PubMed Identifier: 24647201

Publication URI: http://europepmc.org/abstract/MED/24647201

Type: Journal Article/Review

Volume: 69

Parent Publication: Water science and technology : a journal of the International Association on Water Pollution Research

Issue: 6

ISSN: 0273-1223