Predicting intraurban PM2.5 concentrations using enhanced machine learning approaches and incorporating human activity patterns-Reference-Cited by-同舟云学术

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Predicting intraurban PM2.5 concentrations using enhanced machine learning approaches and incorporating human activity patterns

Published:2021-05 Issue: Volume:196 Page:110423
ISSN:0013-9351
Container-title:Environmental Research
language:en
Short-container-title:Environmental Research

Author:

Ashayeri Mehdi,Abbasabadi Narjes,Heidarinejad Mohammad,Stephens Brent

Funder

Armour College of Engineering

Illinois Institute of Technology

ASHRAE

Publisher

Elsevier BV

Subject

General Environmental Science,Biochemistry

Reference120 articles.

1. Urban energy use modeling methods and tools: a review and an outlook;Abbasabadi;Build. Environ.,2019

2. An integrated data-driven framework for urban energy use modeling (UEUM);Abbasabadi;Appl. Energy,2019

3. Multiple Regression: a Primer;Allison,1999

4. Global air quality and health Co-benefits of mitigating near-term climate change through methane and black carbon emission controls;Anenberg;Environ. Health Perspect.,2012

5. Pilot study of the vertical variations in outdoor pollutant concentrations and environmental conditions along the height of a tall building;Azimi;Build. Environ.,2018

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