eprintid: 13451
rev_number: 8
eprint_status: archive
userid: 353
dir: disk0/00/01/34/51
datestamp: 2016-07-28 12:10:35
lastmod: 2021-08-27 17:27:30
status_changed: 2016-07-28 12:10:35
type: article
metadata_visibility: show
item_issues_count: 1
creators_name: Reid, N.
creators_name: Misra, P. K.
creators_name: Amann, M.
creators_name: Hales, J.
creators_id: 1136
creators_orcid: 0000-0002-1963-0972
title: Air Quality Modeling for Policy Development
ispublished: pub
divisions: prog_air
abstract: Atmospheric models constitute the best tools available for the setting of policy, and may, in some cases, be the only tools that are available. The best examples of their kind bring together all current knowledge of pollutant behavior in the atmosphere, making it possible to unravel the often complex interactions between pollutants and atmospheric dynamics. They also allow the possibility of evaluating hypothetical changes in emissions and other conditions to evaluate potential abatement strategies, or to assess the impact of proposed new emission sources. This paper provides an overview of mathematical atmospheric models and their application to the development of air quality policy. The paper discusses the types of atmospheric models currently in use, categorized by spatial scale, and the requirements for credible modeling. Issues associated with model validity and accuracy are described and case studies are reviewed to illustrate atmospheric model use in policy development and the need for careful analysis in interpreting model predictions.
date: 2007-01
date_type: published
publisher: Taylor & Francis
id_number: 10.1080/15287390600884933
creators_browse_id: 15
full_text_status: none
publication: Journal of Toxicology and Environmental Health, Part A
volume: 70
number: 3-4
pagerange: 295-310
refereed: TRUE
issn: 1528-7394
coversheets_dirty: FALSE
fp7_project: no
fp7_type: info:eu-repo/semantics/article
citation:   Reid, N., Misra, P. K., Amann, M. <https://pure.iiasa.ac.at/view/iiasa/15.html> ORCID: https://orcid.org/0000-0002-1963-0972 <https://orcid.org/0000-0002-1963-0972>, & Hales, J.  (2007).  Air Quality Modeling for Policy Development.   Journal of Toxicology and Environmental Health, Part A 70 (3-4) 295-310. 10.1080/15287390600884933 <https://doi.org/10.1080/15287390600884933>.