Mapping real-time air pollution health risk for environmental management: combining mobile and stationary air pollution monitoring with neural network models
%0 Journal Article
%1 adams2016mapping
%A Adams, Matthew D
%A Kanaroglou, Pavlos S
%D 2016
%I Elsevier
%J Journal of environmental management
%K lur land use regression air pollution quality eva p2map neural network nn mobile stationary prediction citedby:scholar:count:31 citedby:scholar:timestamp:2018-2-21
%P 133--141
%T Mapping real-time air pollution health risk for environmental management: combining mobile and stationary air pollution monitoring with neural network models
%V 168
@article{adams2016mapping,
added-at = {2018-02-21T11:55:03.000+0100},
author = {Adams, Matthew D and Kanaroglou, Pavlos S},
biburl = {https://www.bibsonomy.org/bibtex/2ccb7c9ddeaaa90f2bbc221918668e5e6/becker},
interhash = {b934967aeeebba2cd9669392aedd02c8},
intrahash = {ccb7c9ddeaaa90f2bbc221918668e5e6},
journal = {Journal of environmental management},
keywords = {lur land use regression air pollution quality eva p2map neural network nn mobile stationary prediction citedby:scholar:count:31 citedby:scholar:timestamp:2018-2-21},
pages = {133--141},
publisher = {Elsevier},
timestamp = {2018-02-21T11:55:03.000+0100},
title = {Mapping real-time air pollution health risk for environmental management: combining mobile and stationary air pollution monitoring with neural network models},
volume = 168,
year = 2016
}