Using High-Resolution Satellite Aerosol Optical Depth To Estimate Daily PM2.5 Geographical Distribution in Mexico City (Q35875526)

10 August 2017

Using High-Resolution Satellite Aerosol Optical Depth To Estimate Daily PM2.5 Geographical Distribution in Mexico City (English)

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10 August 2017

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Allan C Just

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Alexei I. Lyapustin

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Alexei Lyapustin

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Andrea Baccarelli

object named as

Andrea A Baccarelli

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Brent Coull

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object named as

Brent A Coull

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10 August 2017

3

Joel Schwartz

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Itai Kloog

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10 August 2017

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Robert O Wright

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10 August 2017

Martha María Tellez-Rojo

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Emily Moody

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10 August 2017

Yujie Wang

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10 August 2017

language of work or name

English

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publication date

26 June 2015

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Environmental Science & Technology

10 August 2017

9

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inferred from page(s)

published in

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10 August 2017

49

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10 August 2017

14

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10 August 2017

8576-8584

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describes a project that uses

10 August 2017

ArcGIS

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18 June 2022

https://europepmc.org/article/PMC/4509833

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inferred from PubMed Central ID database lookup

cites work

Megacities air pollution problems: Mexico City Metropolitan Area critical issues on the central nervous system pediatric impact

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Calibrating MODIS aerosol optical depth for predicting daily PM2.5 concentrations via statistical downscaling

11 July 2018

1 reference

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A regionalized national universal kriging model using Partial Least Squares regression for estimating annual PM2.5 concentrations in epidemiology

11 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=4509833

A national prediction model for PM2.5 component exposures and measurement error-corrected health effect inference

11 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=4509833

A hybrid approach to estimating national scale spatiotemporal variability of PM2.5 in the contiguous United States

11 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=4509833

Incorporating local land use regression and satellite aerosol optical depth in a hybrid model of spatiotemporal PM2.5 exposures in the Mid-Atlantic states

11 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=4509833

Estimating regional spatial and temporal variability of PM(2.5) concentrations using satellite data, meteorology, and land use information

11 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=4509833

11 July 2018

1 reference

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Measurement error caused by spatial misalignment in environmental epidemiology

11 July 2018

1 reference

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Reduction in fine particulate air pollution and mortality: Extended follow-up of the Harvard Six Cities study

11 July 2018

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Exposure measurement error in time-series studies of air pollution: concepts and consequences

11 July 2018

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Exposure to ambient and nonambient components of particulate matter: a comparison of health effects

11 July 2018

1 reference

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Effects of air pollution on the respiratory health of asthmatic children living in Mexico City

24 September 2018

1 reference

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A New Hybrid Spatio-Temporal Model For Estimating Daily Multi-Year PM2.5 Concentrations Across Northeastern USA Using High Resolution Aerosol Optical Depth Data

24 September 2018

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PubMed

https://pubmed.ncbi.nlm.nih.gov/26061488

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12 December 2020

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Identifiers

DOI

10.1021/ACS.EST.5B00859

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10 August 2017

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10 August 2017

PubMed publication ID

26061488

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