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