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Distribution of the maximum in air pollution fields

Åberg, Sofia LU and Guttorp, Peter LU (2008) In Environmetrics 19(2). p.183-208
Abstract
Air quality standards are set to protect public health. The values of the standards are often based on health effect studies, without any statistical considerations. In order to judge if a standard is met measurements of ambient air quality are taken at monitoring stations, and these measured values are used to decide whether or not the standard has been violated. In this paper we examine the statistical quality of some air quality standards by taking both measurement error and variability of the ambient field away from the monitoring sites into account. In particular we study the distribution of the maximum of the ambient field conditional on a measured monitoring value at the value prescribed by the standard. The distribution of the... (More)
Air quality standards are set to protect public health. The values of the standards are often based on health effect studies, without any statistical considerations. In order to judge if a standard is met measurements of ambient air quality are taken at monitoring stations, and these measured values are used to decide whether or not the standard has been violated. In this paper we examine the statistical quality of some air quality standards by taking both measurement error and variability of the ambient field away from the monitoring sites into account. In particular we study the distribution of the maximum of the ambient field conditional on a measured monitoring value at the value prescribed by the standard. The distribution of the maximum is computed using a Rice method and relies on a generalization of upcrossings of a level in one dimension to two dimensions. Copyright © 2007 John Wiley & Sons, Ltd. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
air quality standards, distribution of the maximum, Gaussian fields, Rice's formula
in
Environmetrics
volume
19
issue
2
pages
183 - 208
publisher
John Wiley & Sons
external identifiers
  • wos:000254460000005
  • scopus:40649096395
ISSN
1099-095X
DOI
10.1002/env.866
language
English
LU publication?
yes
id
4f74edb7-83a4-4210-8494-a33e56f012ce (old id 1275672)
date added to LUP
2009-05-20 11:26:47
date last changed
2017-01-01 07:41:19
@article{4f74edb7-83a4-4210-8494-a33e56f012ce,
  abstract     = {Air quality standards are set to protect public health. The values of the standards are often based on health effect studies, without any statistical considerations. In order to judge if a standard is met measurements of ambient air quality are taken at monitoring stations, and these measured values are used to decide whether or not the standard has been violated. In this paper we examine the statistical quality of some air quality standards by taking both measurement error and variability of the ambient field away from the monitoring sites into account. In particular we study the distribution of the maximum of the ambient field conditional on a measured monitoring value at the value prescribed by the standard. The distribution of the maximum is computed using a Rice method and relies on a generalization of upcrossings of a level in one dimension to two dimensions. Copyright © 2007 John Wiley & Sons, Ltd.},
  author       = {Åberg, Sofia and Guttorp, Peter},
  issn         = {1099-095X},
  keyword      = {air quality standards,distribution of the maximum,Gaussian fields,Rice's formula},
  language     = {eng},
  number       = {2},
  pages        = {183--208},
  publisher    = {John Wiley & Sons},
  series       = {Environmetrics},
  title        = {Distribution of the maximum in air pollution fields},
  url          = {http://dx.doi.org/10.1002/env.866},
  volume       = {19},
  year         = {2008},
}