Distribution of the maximum in air pollution fields
(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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1275672
- author
- Åberg, Sofia LU and Guttorp, Peter LU
- organization
- publishing date
- 2008
- 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 Inc.
- 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
- 2016-04-04 08:56:34
- date last changed
- 2022-01-29 07:55:52
@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}},
keywords = {{air quality standards; distribution of the maximum; Gaussian fields; Rice's formula}},
language = {{eng}},
number = {{2}},
pages = {{183--208}},
publisher = {{John Wiley & Sons Inc.}},
series = {{Environmetrics}},
title = {{Distribution of the maximum in air pollution fields}},
url = {{http://dx.doi.org/10.1002/env.866}},
doi = {{10.1002/env.866}},
volume = {{19}},
year = {{2008}},
}