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Wiley电子期刊(1)	ProQuest学位论文(1)	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：0.0289884 秒

在所有数据库中总计命中：140条

1.Effect of monitoring network design on land use regression models for estimating residential NO₂ 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 models and fixed site monitoring to reconstruct spatiotemporal variability of NO₂ 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 models 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 models 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 Dimakopoulouⁿ ; 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 (NO₂) 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 models 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 group¹

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 NO₂ land use regression models 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 modelling ; Back-extrapolation ; Exposure assessment ; GIS ; Land use regression ; Nitrogen dioxide

刊名：Environment International

出版年：2016

10.Development of Land Use Regression models 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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