Literature DB >> 26397123

National Spatiotemporal Exposure Surface for NO2: Monthly Scaling of a Satellite-Derived Land-Use Regression, 2000-2010.

Matthew J Bechle1, Dylan B Millet1, Julian D Marshall1.   

Abstract

Land-use regression (LUR) is widely used for estimating within-urban variability in air pollution. While LUR has recently been extended to national and continental scales, these models are typically for long-term averages. Here we present NO2 surfaces for the continental United States with excellent spatial resolution (∼100 m) and monthly average concentrations for one decade. We investigate multiple potential data sources (e.g., satellite column and surface estimates, high- and standard-resolution satellite data, and a mechanistic model [WRF-Chem]), approaches to model building (e.g., one model for the whole country versus having separate models for urban and rural areas, monthly LURs versus temporal scaling of a spatial LUR), and spatial interpolation methods for temporal scaling factors (e.g., kriging versus inverse distance weighted). Our core approach uses NO2 measurements from U.S. EPA monitors (2000-2010) to build a spatial LUR and to calculate spatially varying temporal scaling factors. The model captures 82% of the spatial and 76% of the temporal variability (population-weighted average) of monthly mean NO2 concentrations from U.S. EPA monitors with low average bias (21%) and error (2.4 ppb). Model performance in absolute terms is similar near versus far from monitors, and in urban, suburban, and rural locations (mean absolute error 2-3 ppb); since low-density locations generally experience lower concentrations, model performance in relative terms is better near monitors than far from monitors (mean bias 3% versus 40%) and is better for urban and suburban locations (1-6%) than for rural locations (78%, reflecting the relatively clean conditions in many rural areas). During 2000-2010, population-weighted mean NO2 exposure decreased 42% (1.0 ppb [∼5.2%] per year), from 23.2 ppb (year 2000) to 13.5 ppb (year 2010). We apply our approach to all U.S. Census blocks in the contiguous United States to provide 132 months of publicly available, high-resolution NO2 concentration estimates.

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Year:  2015        PMID: 26397123     DOI: 10.1021/acs.est.5b02882

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  15 in total

1.  Long-Term Exposure to NO2 and Ozone and Hypertension Incidence in the Black Women's Health Study.

Authors:  Patricia F Coogan; Laura F White; Jeffrey Yu; Robert D Brook; Richard T Burnett; Julian D Marshall; Traci N Bethea; Lynn Rosenberg; Michael Jerrett
Journal:  Am J Hypertens       Date:  2017-04-01       Impact factor: 2.689

2.  Global Land Use Regression Model for Nitrogen Dioxide Air Pollution.

Authors:  Andrew Larkin; Jeffrey A Geddes; Randall V Martin; Qingyang Xiao; Yang Liu; Julian D Marshall; Michael Brauer; Perry Hystad
Journal:  Environ Sci Technol       Date:  2017-06-05       Impact factor: 9.028

3.  Long-term nitrogen dioxide exposure and cause-specific mortality in the U.S. Medicare population.

Authors:  Ki-Do Eum; Trenton James Honda; Bingyu Wang; Fatemeh Kazemiparkouhi; Justin Manjourides; Vivian C Pun; Virgil Pavlu; Helen Suh
Journal:  Environ Res       Date:  2021-10-09       Impact factor: 6.498

Review 4.  Fine-Scale Air Pollution Models for Epidemiologic Research: Insights From Approaches Developed in the Multi-ethnic Study of Atherosclerosis and Air Pollution (MESA Air).

Authors:  Kipruto Kirwa; Adam A Szpiro; Lianne Sheppard; Paul D Sampson; Meng Wang; Joshua P Keller; Michael T Young; Sun-Young Kim; Timothy V Larson; Joel D Kaufman
Journal:  Curr Environ Health Rep       Date:  2021-06

5.  Air Pollution During Pregnancy and Cord Blood Immune System Biomarkers.

Authors:  Jillian Ashley-Martin; Eric Lavigne; Tye E Arbuckle; Markey Johnson; Perry Hystad; Dan L Crouse; Jean S Marshall; Linda Dodds
Journal:  J Occup Environ Med       Date:  2016-10       Impact factor: 2.162

6.  Land Use Regression Models for Ultrafine Particles in Six European Areas.

Authors:  Erik van Nunen; Roel Vermeulen; Ming-Yi Tsai; Nicole Probst-Hensch; Alex Ineichen; Mark Davey; Medea Imboden; Regina Ducret-Stich; Alessio Naccarati; Daniela Raffaele; Andrea Ranzi; Cristiana Ivaldi; Claudia Galassi; Mark Nieuwenhuijsen; Ariadna Curto; David Donaire-Gonzalez; Marta Cirach; Leda Chatzi; Mariza Kampouri; Jelle Vlaanderen; Kees Meliefste; Daan Buijtenhuijs; Bert Brunekreef; David Morley; Paolo Vineis; John Gulliver; Gerard Hoek
Journal:  Environ Sci Technol       Date:  2017-03-13       Impact factor: 9.028

7.  Changes in Transportation-Related Air Pollution Exposures by Race-Ethnicity and Socioeconomic Status: Outdoor Nitrogen Dioxide in the United States in 2000 and 2010.

Authors:  Lara P Clark; Dylan B Millet; Julian D Marshall
Journal:  Environ Health Perspect       Date:  2017-09-14       Impact factor: 9.031

8.  Air pollution and breast cancer risk in the Black Women's Health Study.

Authors:  Alexandra J White; Allyson M Gregoire; Nicole M Niehoff; Kimberly A Bertrand; Julie R Palmer; Patricia F Coogan; Traci N Bethea
Journal:  Environ Res       Date:  2020-12-30       Impact factor: 6.498

9.  Effect modification of perinatal exposure to air pollution and childhood asthma incidence.

Authors:  Éric Lavigne; Marc-André Bélair; Daniel Rodriguez Duque; Minh T Do; David M Stieb; Perry Hystad; Aaron van Donkelaar; Randall V Martin; Daniel L Crouse; Eric Crighton; Hong Chen; Richard T Burnett; Scott Weichenthal; Paul J Villeneuve; Teresa To; Jeffrey R Brook; Markey Johnson; Sabit Cakmak; Abdool S Yasseen; Mark Walker
Journal:  Eur Respir J       Date:  2018-02-01       Impact factor: 16.671

10.  Concentrations of criteria pollutants in the contiguous U.S., 1979 - 2015: Role of prediction model parsimony in integrated empirical geographic regression.

Authors:  Sun-Young Kim; Matthew Bechle; Steve Hankey; Lianne Sheppard; Adam A Szpiro; Julian D Marshall
Journal:  PLoS One       Date:  2020-02-18       Impact factor: 3.240

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