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Combining modelling and monitoring to estimate fugitive releases from a heavily industrialised site

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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Combining modelling and monitoring to estimate fugitive releases from a heavily industrialised site. / Malby, Andrew; Timmis, Roger; Whyatt, Duncan.
HARMO 2010 - Proceedings of the 13th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes. ed. / Armand Albergel. ARIA Technologies, 2010. p. 939-943 (HARMO 2010 - Proceedings of the 13th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Malby, A, Timmis, R & Whyatt, D 2010, Combining modelling and monitoring to estimate fugitive releases from a heavily industrialised site. in A Albergel (ed.), HARMO 2010 - Proceedings of the 13th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes. HARMO 2010 - Proceedings of the 13th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, ARIA Technologies, pp. 939-943, 13th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2010, Paris, France, 1/06/10. <http://www.harmo.org/Conferences/Proceedings/_Paris/publishedSections/H13-133-abst.pdf>

APA

Malby, A., Timmis, R., & Whyatt, D. (2010). Combining modelling and monitoring to estimate fugitive releases from a heavily industrialised site. In A. Albergel (Ed.), HARMO 2010 - Proceedings of the 13th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes (pp. 939-943). (HARMO 2010 - Proceedings of the 13th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes). ARIA Technologies. http://www.harmo.org/Conferences/Proceedings/_Paris/publishedSections/H13-133-abst.pdf

Vancouver

Malby A, Timmis R, Whyatt D. Combining modelling and monitoring to estimate fugitive releases from a heavily industrialised site. In Albergel A, editor, HARMO 2010 - Proceedings of the 13th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes. ARIA Technologies. 2010. p. 939-943. (HARMO 2010 - Proceedings of the 13th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes).

Author

Malby, Andrew ; Timmis, Roger ; Whyatt, Duncan. / Combining modelling and monitoring to estimate fugitive releases from a heavily industrialised site. HARMO 2010 - Proceedings of the 13th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes. editor / Armand Albergel. ARIA Technologies, 2010. pp. 939-943 (HARMO 2010 - Proceedings of the 13th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes).

Bibtex

@inproceedings{fb249c9547c04be2af9ea6891be65d6d,
title = "Combining modelling and monitoring to estimate fugitive releases from a heavily industrialised site",
abstract = "Ambient air-quality data contains detailed information about individual sources that is currently under-exploited. This study examines ambient measurements of fine particulate matter (PM10) from a complex industrial site, in order to show how ambient concentrations depend on factors related to dispersion - such as wind speed and wind direction, and on different levels of source activity - such as time-of-day and day-of-week. When this additional information is combined with inverse-modelling techniques, it can be used to attribute PM10 impacts to individual sources. The information can also be used to comprehensively verify the performance of atmospheric dispersion models.",
keywords = "Conditional analysis, Fugitive source, Inverse-modelling, Particulate matter",
author = "Andrew Malby and Roger Timmis and Duncan Whyatt",
year = "2010",
month = jun,
day = "1",
language = "English",
series = "HARMO 2010 - Proceedings of the 13th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes",
publisher = "ARIA Technologies",
pages = "939--943",
editor = "Armand Albergel",
booktitle = "HARMO 2010 - Proceedings of the 13th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes",
note = "13th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2010 ; Conference date: 01-06-2010 Through 04-06-2010",

}

RIS

TY - GEN

T1 - Combining modelling and monitoring to estimate fugitive releases from a heavily industrialised site

AU - Malby, Andrew

AU - Timmis, Roger

AU - Whyatt, Duncan

PY - 2010/6/1

Y1 - 2010/6/1

N2 - Ambient air-quality data contains detailed information about individual sources that is currently under-exploited. This study examines ambient measurements of fine particulate matter (PM10) from a complex industrial site, in order to show how ambient concentrations depend on factors related to dispersion - such as wind speed and wind direction, and on different levels of source activity - such as time-of-day and day-of-week. When this additional information is combined with inverse-modelling techniques, it can be used to attribute PM10 impacts to individual sources. The information can also be used to comprehensively verify the performance of atmospheric dispersion models.

AB - Ambient air-quality data contains detailed information about individual sources that is currently under-exploited. This study examines ambient measurements of fine particulate matter (PM10) from a complex industrial site, in order to show how ambient concentrations depend on factors related to dispersion - such as wind speed and wind direction, and on different levels of source activity - such as time-of-day and day-of-week. When this additional information is combined with inverse-modelling techniques, it can be used to attribute PM10 impacts to individual sources. The information can also be used to comprehensively verify the performance of atmospheric dispersion models.

KW - Conditional analysis

KW - Fugitive source

KW - Inverse-modelling

KW - Particulate matter

M3 - Conference contribution/Paper

AN - SCOPUS:84933576507

T3 - HARMO 2010 - Proceedings of the 13th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes

SP - 939

EP - 943

BT - HARMO 2010 - Proceedings of the 13th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes

A2 - Albergel, Armand

PB - ARIA Technologies

T2 - 13th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2010

Y2 - 1 June 2010 through 4 June 2010

ER -