High spatiotemporal characterization of on-road PM2.5 concentrations in high-density urban areas using mobile monitoring-Reference-Cited by-同舟云学术

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High spatiotemporal characterization of on-road PM2.5 concentrations in high-density urban areas using mobile monitoring

Published:2018-10 Issue: Volume:143 Page:196-205
ISSN:0360-1323
Container-title:Building and Environment
language:en
Short-container-title:Building and Environment

Author:

Li Zhiyuan,Fung Jimmy C.H.,Lau Alexis K.H.

Funder

General Research Fund

Hong Kong Research Grants Council

Publisher

Elsevier BV

Subject

Building and Construction,Geography, Planning and Development,Civil and Structural Engineering,Environmental Engineering

Reference74 articles.

1. High-resolution air pollution mapping with Google Street View Cars: exploiting big data;Apte;Environ. Sci. Technol.,2017

2. Air Quality Guidelines for Particulate Matter, Ozone, Nitrogen Dioxide and Sulfur Dioxide: Global Update 2005;WHO (World Health Organization),2006

3. The contribution of outdoor air pollution sources to premature mortality on a global scale;Lelieveld;Nature,2015

4. High-resolution mobile monitoring of carbon monoxide and ultrafine particle concentrations in a near-road environment;Hagler;J. Air Waste Manag. Assoc.,2010

5. An instantaneous spatiotemporal model for predicting traffic-related ultrafine particle concentration through mobile noise measurements;Lin;Sci. Total Environ.,2018

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