eprintid: 10070260
rev_number: 24
eprint_status: archive
userid: 608
dir: disk0/10/07/02/60
datestamp: 2019-03-18 10:33:08
lastmod: 2021-09-19 23:33:22
status_changed: 2019-03-18 10:33:08
type: article
metadata_visibility: show
creators_name: Taylor, J
creators_name: Shrubsole, C
creators_name: Symonds, P
creators_name: Mackenzie, I
creators_name: Davies, M
title: Application of an indoor air pollution metamodel to a spatially-distributed housing stock
ispublished: inpress
divisions: UCL
divisions: B04
divisions: C04
divisions: F34
keywords: Building physics, I/O ratios, Air pollution, PM2.5, NO2
note: Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
abstract: Estimates of population air pollution exposure typically rely on the outdoor component only, and rarely account for populations spending the majority of their time indoors. Housing is an important modifier of air pollution exposure due to outdoor pollution infiltrating indoors, and the removal of indoor-sourced pollution through active or passive ventilation. Here, we describe the application of an indoor air pollution modelling tool to a spatially distributed housing stock model for England and Wales, developed from Energy Performance Certificate (EPC) data and containing information for approximately 11.5 million dwellings. First, we estimate indoor/outdoor (I/O) ratios and total indoor concentrations of outdoor air pollution for PM2.5 and NO2 for all EPC dwellings in London. The potential to estimate concentration from both indoor and outdoor sources is then demonstrated by modelling indoor background CO levels for England and Wales pre- and post-energy efficient adaptation, including heating, cooking, and smoking as internal sources. In London, we predict a median I/O ratio of 0.60 (99% CIs; 0.53–0.73) for outdoor PM2.5 and 0.41 (99%CIs; 0.34–0.59) for outdoor NO2; Pearson correlation analysis indicates a greater spatial modification of PM2.5 exposure by housing (ρ = 0.81) than NO2 (ρ = 0.88). For the demonstrative CO model, concentrations ranged from 0.4–9.9 ppm (99%CIs)(median = 3.0 ppm) in kitchens and 0.3–25.6 ppm (median = 6.4 ppm) in living rooms. Clusters of elevated indoor concentration are found in urban areas due to higher outdoor concentrations and smaller dwellings with reduced ventilation potential, with an estimated 17.6% increase in the number of living rooms and 63% increase in the number of kitchens exceeding recommended exposure levels following retrofit without additional ventilation. The model has the potential to rapidly calculate indoor pollution exposure across large housing stocks and estimate changes to exposure under different pollution or housing policy scenarios.
date: 2019-06-01
date_type: published
official_url: https://doi.org/10.1016/j.scitotenv.2019.02.341
oa_status: green
full_text_type: pub
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 1639240
doi: 10.1016/j.scitotenv.2019.02.341
lyricists_name: Davies, Michael
lyricists_name: Shrubsole, Clive
lyricists_name: Symonds, Philip
lyricists_name: Taylor, Jonathon
lyricists_id: MDAVI86
lyricists_id: CSHRU11
lyricists_id: PSYMO82
lyricists_id: JGTAY63
actors_name: Taylor, Jonathon
actors_id: JGTAY63
actors_role: owner
full_text_status: public
publication: Science of the Total Environment
volume: 667
pagerange: 390-399
issn: 1879-1026
citation:        Taylor, J;    Shrubsole, C;    Symonds, P;    Mackenzie, I;    Davies, M;      (2019)    Application of an indoor air pollution metamodel to a spatially-distributed housing stock.                   Science of the Total Environment , 667    pp. 390-399.    10.1016/j.scitotenv.2019.02.341 <https://doi.org/10.1016/j.scitotenv.2019.02.341>.    (In press).    Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10070260/1/application%20of%20an%20indoor%20air%20pollution%20metamodel%20to%20a%20spatially-distributed%20housing%20stock.pdf