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Wiley电子期刊(1)
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ACS电子期刊(32)
SpringerLink电子期刊(17)
Elsevier电子期刊(89)
在“
Elsevier电子期刊
”中,
命中:
89
条,耗时:0.0299824 秒
在所有数据库中总计命中:
140
条
1.
Effect of monitoring network design on
land
use
regression
model
s for estimating residential NO
2
concentration
作者:
Hao Wu
a
;
b
;
h.wu@ed.ac.uk
;
Stefan Reis
b
;
c
;
Chun Lin
a
;
Mathew R. Heal
a
;
m.heal@ed.ac.uk
关键词:
Land
-
use
regression
model
;
Dispersion
model
;
Exposure assessment
刊名:Atmospheric Environment
出版年:2017
2.
Combined
use
of
land
use
regression
and BenMAP for estimating public health benefits of reducing PM
2.5
in Tianjin, China
作者:
Li Chen
a
;
Mengshuang Shi
a
;
Suhuan Li
a
;
Zhipeng Bai
a
;
b
;
baizp@craes.org.cn
;
Zhongliang Wang
a
;
zhongliang_wang@163.com
关键词:
Land
use
regression
;
Public health benefit
;
BenMAP
;
PM2.5
;
Tianjin
刊名:Atmospheric Environment
出版年:2017
3.
Combining
land
use
regression
model
s and fixed site monitoring to reconstruct spatiotemporal variability of NO
2
concentrations over a wide geographical area
作者:
M. Cordioli
a
;
b
;
mik.cordioli@gmail.com" class="auth_mail" title="E-mail the corresponding author
;
C. Pironi
c
;
E. De Munari
c
;
N. Marmiroli
a
;
P. Lauriola
b
;
A. Ranzi
b
关键词:
Land
use
regression
model
;
Exposure assessment
;
Spatiotemporal
model
;
GIS
;
Air pollution
刊名:Science of the Total Environment
出版年:2017
4.
Exposure assessment
model
s for elemental components of particulate matter in an urban environment: A comparison of
regression
and random forest approaches
作者:
Cole Brokamp
a
;
b
;
cole.brokamp@cchmc.org
;
Roman Jandarov
b
;
M.B. Rao
b
;
Grace LeMasters
b
;
c
;
Patrick Ryan
a
;
b
关键词:
Elemental PM2.5
;
Land
use
regression
;
Random forest
刊名:Atmospheric Environment
出版年:2017
5.
Spatial variations and development of
land
use
regression
model
s of oxidative potential in ten European study areas
作者:
Aleksandra Jedynska
a
;
Aleksandra.jedynska@tno.nl
;
Gerard Hoek
b
;
Meng Wang
b
;
u
;
Aileen Yang
t
;
b
;
Marloes Eeftens
b
;
q
;
r
;
Josef Cyrys
c
;
d
;
Menno Keuken
a
;
Christophe Ampe
e
;
Rob Beelen
t
;
Giulia Cesaroni
f
;
Francesco Forastiere
f
;
Marta Cirach
g
;
h
;
i
;
Kees de Hoogh
q
;
r
;
j
;
Audrey De Nazelle
g
;
s
;
Wenche Nystad
k
;
Helgah Makarem Akhlaghi
a
;
Christophe Declercq
l
;
Morgane Stempfelet
l
;
Kirsten T. Eriksen
m
;
Konstantina Dimakopoulou
n
;
Timo Lanki
o
;
Kees Meliefste
a
;
Mark Nieuwenhuijsen
g
;
h
;
i
;
Tarja Yli-Tuomi
o
;
Ole Raaschou-Nielsen
m
;
Nicole A.H. Janssen
t
;
Bert Brunekreef
b
;
p
;
Ingeborg M. Kooter
a
关键词:
Oxidative potential
;
DTT
;
LUR
;
PM2.5
;
Spatial variation
刊名:Atmospheric Environment
出版年:2017
6.
A
land
use
regression
application into assessing spatial variation of intra-urban fine particulate matter (PM
2.5
) and nitrogen dioxide (NO
2
) concentrations in City of Shanghai, China
作者:
Chao Liu
a
;
liuchao1020@gmail.com" class="auth_mail" title="E-mail the corresponding author
;
Barron H. Henderson
b
;
barronh@ufl.edu" class="auth_mail" title="E-mail the corresponding author
;
Dongfang Wang
c
;
wangdf@semc.gov.cn" class="auth_mail" title="E-mail the corresponding author
;
Xinyuan Yang
a
;
poppyyang@ufl.edu" class="auth_mail" title="E-mail the corresponding author
;
Zhong-ren Peng
d
;
e
;
zpeng@dcp.ufl.edu" class="auth_mail" title="E-mail the corresponding author
关键词:
Land
Use
Regression
(
LUR
)
;
Intra-urban air pollution
;
PM2.5
;
NO2
;
Spatial analysis
;
China
刊名:Science of the Total Environment
出版年:2016
7.
A hybrid
land
use
regression
/AERMOD
model
for predicting intra-urban variation in PM
2.5
作者:
Drew R. Michanowicz
a
;
Michanow@hsph.harvard.edu" class="auth_mail" title="E-mail the corresponding author
;
Jessie L.C. Shmool
b
;
Brett J. Tunno
b
;
Sheila Tripathy
b
;
Sara Gillooly
b
;
Ellen Kinnee
b
;
Jane E. Clougherty
b
关键词:
AERMOD
;
Meteorological dispersion
;
Exposure assessment
;
Land
use
regression
;
Near-source
;
PM2.5
刊名:Atmospheric Environment
出版年:2016
8.
Development of nitrogen dioxide and volatile organic compounds
land
use
regression
model
s to estimate air pollution exposure near an Italian airport
作者:
Alessandra Gaeta
a
;
alessandra.gaeta@isprambiente.it" class="auth_mail" title="E-mail the corresponding author
;
Giorgio Cattani
a
;
Alessandro Di Menno di Bucchianico
a
;
Antonella De Santis
a
;
Giulia Cesaroni
b
;
Chiara Badaloni
b
;
Carla Ancona
b
;
Francesco Forastiere
b
;
Roberto Sozzi
c
;
Andrea Bolignano
c
;
Fabrizio Sacco
c
;
on behalf of the SERA study group
1
关键词:
Land
use
regression
;
Spatial variation
;
Airport
;
NO2
;
Benzene
;
Toluene
;
Formaldehyde
;
Acrolein
刊名:Atmospheric Environment
出版年:2016
9.
Back-extrapolated and year-specific NO
2
land
use
regression
model
s for Great Britain - Do they yield different exposure assessment?
作者:
John Gulliver
a
;
j.gulliver@imperial.ac.uk" class="auth_mail" title="E-mail the corresponding author
;
Kees de Hoogh
b
;
c
;
Gerard Hoek
d
;
Danielle Vienneau
b
;
c
;
Daniela Fecht
a
;
Anna Hansell
a
关键词:
Air pollution
model
ling
;
Back-extrapolation
;
Exposure assessment
;
GIS
;
Land
use
regression
;
Nitrogen dioxide
刊名:Environment International
出版年:2016
10.
Development of
Land
Use
Regression
model
s for particulate matter and associated components in a low air pollutant concentration airshed
作者:
Mila Dirgawati
a
;
mila.dirgawati@uwa.edu.au" class="auth_mail" title="E-mail the corresponding author
;
Jane S. Heyworth
a
;
Amanda J. Wheeler
a
;
b
;
Kieran A. McCaul
c
;
David Blake
b
;
Jonathon Boeyen
b
;
Martin Cope
d
;
Bu Beng Yeap
e
;
f
;
Mark Nieuwenhuijsen
g
;
Bert Brunekreef
h
;
Andrea Hinwood
b
关键词:
Land
use
regression
(
LUR
)
model
;
Air pollution
;
Particulate matter
;
PM elements
刊名:Atmospheric Environment
出版年:2016
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