Use of satellite-based aerosol optical depth and spatial clustering to predict ambient PM2.5 concentrations-Reference-Cited by-同舟云学术

Use of satellite-based aerosol optical depth and spatial clustering to predict ambient PM2.5 concentrations

Published:2012-10 Issue: Volume:118 Page:8-15
ISSN:0013-9351
Container-title:Environmental Research
language:en
Short-container-title:Environmental Research

Author:

Lee Hyung Joo,Coull Brent A.,Bell Michelle L.,Koutrakis Petros

Funder

USEPA

NIEHS

Publisher

Elsevier BV

Subject

General Environmental Science,Biochemistry

Reference39 articles.

1. Improving national air quality forecasts with satellite aerosol observations;Al-Saadi;Bull. Am. Meteor. Soc.,2005

2. Ambient air pollution and low birth weight in Connecticut and Massachusetts;Bell;Environ. Health Perspect.,2007

3. Prenatal exposure to fine particulate matter and birth weight variations by particulate constituents and sources;Bell;Epidemiology,2010

4. Community-level spatial heterogeneity of chemical constituent levels of fine particulates and implications for epidemiological research;Bell;J. Expo. Sci. Environ. Epidemiol.,2010

5. Air pollution and health;Brunekreef;Lancet,2002

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