Exploring the modeling of spatiotemporal variations in ambient air pollution within the land use regression framework: Estimation of PM10 concentrations on a daily basis
M. Alam, and A. McNabola. Journal of the Air & Waste Management Association, 65 (5):
628--640(2015)
%0 Journal Article
%1 alam2015exploring
%A Alam, Md Saniul
%A McNabola, Aonghus
%D 2015
%I Taylor & Francis
%J Journal of the Air & Waste Management Association
%K lursurvey citedby:scholar:count:7 citedby:scholar:timestamp:2018-2-21
%N 5
%P 628--640
%T Exploring the modeling of spatiotemporal variations in ambient air pollution within the land use regression framework: Estimation of PM10 concentrations on a daily basis
%V 65
@article{alam2015exploring,
added-at = {2018-02-21T23:17:07.000+0100},
author = {Alam, Md Saniul and McNabola, Aonghus},
biburl = {https://www.bibsonomy.org/bibtex/2606dd8e9aa9e34a475e2c05cb5809842/lautenschlager},
interhash = {c6e1a8bbffe61c6b256d63cd7b540ee7},
intrahash = {606dd8e9aa9e34a475e2c05cb5809842},
journal = {Journal of the Air \& Waste Management Association},
keywords = {lursurvey citedby:scholar:count:7 citedby:scholar:timestamp:2018-2-21},
number = 5,
pages = {628--640},
publisher = {Taylor \& Francis},
timestamp = {2018-02-21T23:17:07.000+0100},
title = {Exploring the modeling of spatiotemporal variations in ambient air pollution within the land use regression framework: Estimation of PM10 concentrations on a daily basis},
volume = 65,
year = 2015
}
