Low-cost sensor networks and land-use regression: Interpolating nitrogen dioxide concentration at high temporal and spatial resolution in Southern California-Reference-Cited by-同舟云学术

Low-cost sensor networks and land-use regression: Interpolating nitrogen dioxide concentration at high temporal and spatial resolution in Southern California

Published:2020-02 Issue: Volume:223 Page:117287
ISSN:1352-2310
Container-title:Atmospheric Environment
language:en
Short-container-title:Atmospheric Environment

Author:

Weissert Lena,Alberti Kyle,Miles Elaine,Miskell Georgia^ORCID,Feenstra Brandon^ORCID,Henshaw Geoff S.,Papapostolou Vasileios,Patel Hamesh,Polidori Andrea,Salmond Jennifer A.,Williams David E.^ORCID

Funder

New Zealand Ministry for Business, Innovation and Employment

Publisher

Elsevier BV

Subject

Atmospheric Science,General Environmental Science

Reference41 articles.

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4. Exposure assessment models for elemental components of particulate matter in an urban environment: a comparison of regression and random forest approaches;Brokamp;Atmos. Environ.,2017

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