Integrating random forests and propagation models for high-resolution noise mapping

Ying Liu; Tor Oiamo; Daniel Rainham; Hong Chen; Marianne Hatzopoulou; Jeffrey R. Brook; Hugh Davies; Sophie Goudreau; Audrey Smargiassi

doi:10.1016/j.envres.2021.110905

Integrating random forests and propagation models for high-resolution noise mapping

Ying Liu, Tor Oiamo, Daniel Rainham, Hong Chen, Marianne Hatzopoulou, Jeffrey R. Brook, Hugh Davies, Sophie Goudreau, Audrey Smargiassi

Arts and Humanities

Research output: Contribution to journal › Article › peer-review

9 Citations (Scopus)

Original language	English
Article number	110905
Journal	Environmental Research
Volume	195
DOIs	https://doi.org/10.1016/j.envres.2021.110905
Publication status	Published - Apr 2021

ASJC Scopus Subject Areas

Biochemistry
General Environmental Science

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.envres.2021.110905

Cite this

@article{a08d945b94704910b56c74618bd2ed75,

title = "Integrating random forests and propagation models for high-resolution noise mapping",

author = "Ying Liu and Tor Oiamo and Daniel Rainham and Hong Chen and Marianne Hatzopoulou and Brook, {Jeffrey R.} and Hugh Davies and Sophie Goudreau and Audrey Smargiassi",

note = "Funding Information: We acknowledge the support of the Canadian Urban Environmental Health Research Consortium (CANUE)'s grant for this work. The grant was funded by the Canadian Institutes of Health Research . Publisher Copyright: {\textcopyright} 2021 Elsevier Inc.",

year = "2021",

month = apr,

doi = "10.1016/j.envres.2021.110905",

language = "English",

volume = "195",

journal = "Environmental Research",

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publisher = "Academic Press Inc.",

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TY - JOUR

T1 - Integrating random forests and propagation models for high-resolution noise mapping

AU - Liu, Ying

AU - Oiamo, Tor

AU - Rainham, Daniel

AU - Chen, Hong

AU - Hatzopoulou, Marianne

AU - Brook, Jeffrey R.

AU - Davies, Hugh

AU - Goudreau, Sophie

AU - Smargiassi, Audrey

N1 - Funding Information: We acknowledge the support of the Canadian Urban Environmental Health Research Consortium (CANUE)'s grant for this work. The grant was funded by the Canadian Institutes of Health Research . Publisher Copyright: © 2021 Elsevier Inc.

PY - 2021/4

Y1 - 2021/4

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U2 - 10.1016/j.envres.2021.110905

DO - 10.1016/j.envres.2021.110905

M3 - Article

C2 - 33631139

AN - SCOPUS:85101533216

SN - 0013-9351

VL - 195

JO - Environmental Research

JF - Environmental Research

M1 - 110905

ER -

Integrating random forests and propagation models for high-resolution noise mapping

ASJC Scopus Subject Areas

UN SDGs

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