157 related articles for article (PubMed ID: 35150420)
1. Development of transferable neighborhood land use regression models for predicting intra-urban ambient nitrogen dioxide (NO
Ma X; Gao J; Longley I; Zou B; Guo B; Xu X; Salmond J
Environ Sci Pollut Res Int; 2022 Jun; 29(30):45903-45918. PubMed ID: 35150420
[TBL] [Abstract][Full Text] [Related]
2. A land use regression model of nitrogen dioxide and fine particulate matter in a complex urban core in Lanzhou, China.
Jin L; Berman JD; Warren JL; Levy JI; Thurston G; Zhang Y; Xu X; Wang S; Zhang Y; Bell ML
Environ Res; 2019 Oct; 177():108597. PubMed ID: 31401375
[TBL] [Abstract][Full Text] [Related]
3. A comprehensive review of the development of land use regression approaches for modeling spatiotemporal variations of ambient air pollution: A perspective from 2011 to 2023.
Ma X; Zou B; Deng J; Gao J; Longley I; Xiao S; Guo B; Wu Y; Xu T; Xu X; Yang X; Wang X; Tan Z; Wang Y; Morawska L; Salmond J
Environ Int; 2024 Jan; 183():108430. PubMed ID: 38219544
[TBL] [Abstract][Full Text] [Related]
4. Evaluating heterogeneity in indoor and outdoor air pollution using land-use regression and constrained factor analysis.
Levy JI; Clougherty JE; Baxter LK; Houseman EA; Paciorek CJ;
Res Rep Health Eff Inst; 2010 Dec; (152):5-80; discussion 81-91. PubMed ID: 21409949
[TBL] [Abstract][Full Text] [Related]
5. Development of land use regression models for nitrogen dioxide, ultrafine particles, lung deposited surface area, and four other markers of particulate matter pollution in the Swiss SAPALDIA regions.
Eeftens M; Meier R; Schindler C; Aguilera I; Phuleria H; Ineichen A; Davey M; Ducret-Stich R; Keidel D; Probst-Hensch N; Künzli N; Tsai MY
Environ Health; 2016 Apr; 15():53. PubMed ID: 27089921
[TBL] [Abstract][Full Text] [Related]
6. Comparison of Spatial Modelling Approaches on PM
Widya LK; Hsu CY; Lee HY; Jaelani LM; Lung SC; Su HJ; Wu CD
Int J Environ Res Public Health; 2020 Nov; 17(23):. PubMed ID: 33260391
[TBL] [Abstract][Full Text] [Related]
7. Modeling the intraurban variation in nitrogen dioxide in urban areas in Kathmandu Valley, Nepal.
Gurung A; Levy JI; Bell ML
Environ Res; 2017 May; 155():42-48. PubMed ID: 28189072
[TBL] [Abstract][Full Text] [Related]
8. A land use regression model for estimating the NO2 concentration in Shanghai, China.
Meng X; Chen L; Cai J; Zou B; Wu CF; Fu Q; Zhang Y; Liu Y; Kan H
Environ Res; 2015 Feb; 137():308-15. PubMed ID: 25601733
[TBL] [Abstract][Full Text] [Related]
9. Development and Evaluation of Spatio-Temporal Air Pollution Exposure Models and Their Combinations in the Greater London Area, UK.
Dimakopoulou K; Samoli E; Analitis A; Schwartz J; Beevers S; Kitwiroon N; Beddows A; Barratt B; Rodopoulou S; Zafeiratou S; Gulliver J; Katsouyanni K
Int J Environ Res Public Health; 2022 Apr; 19(9):. PubMed ID: 35564796
[TBL] [Abstract][Full Text] [Related]
10. Land use regression modelling of air pollution in high density high rise cities: A case study in Hong Kong.
Lee M; Brauer M; Wong P; Tang R; Tsui TH; Choi C; Cheng W; Lai PC; Tian L; Thach TQ; Allen R; Barratt B
Sci Total Environ; 2017 Aug; 592():306-315. PubMed ID: 28319717
[TBL] [Abstract][Full Text] [Related]
11. Modelling air pollution for epidemiologic research--Part I: A novel approach combining land use regression and air dispersion.
Mölter A; Lindley S; de Vocht F; Simpson A; Agius R
Sci Total Environ; 2010 Nov; 408(23):5862-9. PubMed ID: 20846708
[TBL] [Abstract][Full Text] [Related]
12. A land use regression application into assessing spatial variation of intra-urban fine particulate matter (PM2.5) and nitrogen dioxide (NO2) concentrations in City of Shanghai, China.
Liu C; Henderson BH; Wang D; Yang X; Peng ZR
Sci Total Environ; 2016 Sep; 565():607-615. PubMed ID: 27203521
[TBL] [Abstract][Full Text] [Related]
13. Western European land use regression incorporating satellite- and ground-based measurements of NO2 and PM10.
Vienneau D; de Hoogh K; Bechle MJ; Beelen R; van Donkelaar A; Martin RV; Millet DB; Hoek G; Marshall JD
Environ Sci Technol; 2013; 47(23):13555-64. PubMed ID: 24156783
[TBL] [Abstract][Full Text] [Related]
14. Intercity transferability of land use regression models for estimating ambient concentrations of nitrogen dioxide.
Poplawski K; Gould T; Setton E; Allen R; Su J; Larson T; Henderson S; Brauer M; Hystad P; Lightowlers C; Keller P; Cohen M; Silva C; Buzzelli M
J Expo Sci Environ Epidemiol; 2009 Jan; 19(1):107-17. PubMed ID: 18398445
[TBL] [Abstract][Full Text] [Related]
15. Performance of multi-city land use regression models for nitrogen dioxide and fine particles.
Wang M; Beelen R; Bellander T; Birk M; Cesaroni G; Cirach M; Cyrys J; de Hoogh K; Declercq C; Dimakopoulou K; Eeftens M; Eriksen KT; Forastiere F; Galassi C; Grivas G; Heinrich J; Hoffmann B; Ineichen A; Korek M; Lanki T; Lindley S; Modig L; Mölter A; Nafstad P; Nieuwenhuijsen MJ; Nystad W; Olsson D; Raaschou-Nielsen O; Ragettli M; Ranzi A; Stempfelet M; Sugiri D; Tsai MY; Udvardy O; Varró MJ; Vienneau D; Weinmayr G; Wolf K; Yli-Tuomi T; Hoek G; Brunekreef B
Environ Health Perspect; 2014 Aug; 122(8):843-9. PubMed ID: 24787034
[TBL] [Abstract][Full Text] [Related]
16. Comparison of model estimates from an intra-city land use regression model with a national satellite-LUR and a regional Bayesian Maximum Entropy model, in estimating NO
Cowie CT; Garden F; Jegasothy E; Knibbs LD; Hanigan I; Morley D; Hansell A; Hoek G; Marks GB
Environ Res; 2019 Jul; 174():24-34. PubMed ID: 31026625
[TBL] [Abstract][Full Text] [Related]
17. Land use regression models for estimating individual NOx and NO₂ exposures in a metropolis with a high density of traffic roads and population.
Lee JH; Wu CF; Hoek G; de Hoogh K; Beelen R; Brunekreef B; Chan CC
Sci Total Environ; 2014 Feb; 472():1163-71. PubMed ID: 24377679
[TBL] [Abstract][Full Text] [Related]
18. A land use regression model using machine learning and locally developed low cost particulate matter sensors in Uganda.
Coker ES; Amegah AK; Mwebaze E; Ssematimba J; Bainomugisha E
Environ Res; 2021 Aug; 199():111352. PubMed ID: 34043968
[TBL] [Abstract][Full Text] [Related]
19. Intra-urban variability of long-term exposure to PM
Rodriguez-Villamizar LA; Rojas Y; Grisales S; Mangones SC; Cáceres JJ; Agudelo-Castañeda DM; Herrera V; Marín D; Jiménez JGP; Belalcázar-Ceron LC; Rojas-Sánchez OA; Ochoa Villegas J; López L; Rojas OM; Vicini MC; Salas W; Orrego AZ; Castillo M; Sáenz H; Hernández LÁ; Weichenthal S; Baumgartner J; Rojas NY
Environ Sci Pollut Res Int; 2024 Jan; 31(2):3207-3221. PubMed ID: 38087152
[TBL] [Abstract][Full Text] [Related]
20. Development of a microscale land use regression model for predicting NO
Weissert LF; Salmond JA; Miskell G; Alavi-Shoshtari M; Williams DE
Sci Total Environ; 2018 Apr; 619-620():112-119. PubMed ID: 29145048
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
