Development of a probabilistic multi-zone multi-source computational model and demonstration of its applications in predicting PM concentrations indoors-Reference-Cited by-同舟云学术

Development of a probabilistic multi-zone multi-source computational model and demonstration of its applications in predicting PM concentrations indoors

Published:2014-08 Issue: Volume:490 Page:798-806
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

McGrath J.A.,Byrne M.A.,Ashmore M.R.,Terry A.C.,Dimitroulopoulou C.

Funder

Irish Environmental Protection Agency (EPA)

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference43 articles.

1. Assessment of indoor fine aerosol contributions from environmental tobacco smoke and cooking with a portable nephelometer;Brauer;J Expo Anal Environ Epidemiol,2000

2. Particulate matter air pollution and cardiovascular disease an update to the scientific statement from the american heart association;Brook;Circulation,2010

3. A population exposure model for particulate matter: case study results for PM2.5 in Philadelphia, PA;Burke;J Expo Anal Environ Epidemiol,2001

4. Stable tracer aerosol deposition measurements in a test chamber;Byrne;J Aerosol Sci,1995

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Modelling the ingress and charge enhanced deposition behaviour of radioactive aerosols in dwellings;Atmospheric Environment;2023-07

2. Diffusion Characteristics of PM2.5 in Rural Dwelling under Different Daily Life Behavior: A Case Study in Rural Shenyang of China;Buildings;2022-08-12

3. A systematic literature review on indoor PM2.5 concentrations and personal exposure in urban residential buildings;Heliyon;2022-08

4. Treating COPD Patients with Inhaled Medications in the Era of COVID-19 and Beyond: Options and Rationales for Patients at Home;International Journal of Chronic Obstructive Pulmonary Disease;2021-09

5. Factors influencing radon concentration during energy retrofitting in domestic buildings: A computational evaluation;Building and Environment;2021-05