National, satellite-based land-use regression models for estimating long-term annual NO2 exposure across India-Reference-Cited by-同舟云学术

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National, satellite-based land-use regression models for estimating long-term annual NO2 exposure across India

Published:2024-08 Issue: Volume:23 Page:100289
ISSN:2590-1621
Container-title:Atmospheric Environment: X
language:en
Short-container-title:Atmospheric Environment: X

Author:

Singh Neha^ORCID,Van Buskirk Joe^ORCID,Dey Sagnik^ORCID,Knibbs Luke D.^ORCID

Publisher

Elsevier BV

Reference68 articles.

1. Global, national, and urban burdens of paediatric asthma incidence attributable to ambient NO(2) pollution: estimates from global datasets;Achakulwisut;Lancet Planet. Health,2019

2. Estimating daily surface NO2 concentrations from satellite data – a case study over Hong Kong using land use regression models;Anand;Atmos. Chem. Phys.,2017

3. Long-term trends in urban NO(2) concentrations and associated paediatric asthma incidence: estimates from global datasets;Anenberg;Lancet Planet. Health,2022

4. Measurement error in epidemiologic studies of air pollution based on land-use regression models;Basagaña;Am. J. Epidemiol.,2013

5. National spatiotemporal exposure surface for NO2: monthly scaling of a satellite-derived land-use regression, 2000-2010;Bechle;Environ. Sci. Technol.,2015

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