Coupled receptor/dispersion modeling with a genetic algorithm

Sue Ellen Haupt

Coupled receptor/dispersion modeling with a genetic algorithm

Sue Ellen Haupt

Research output: Abstract › Paper › peer-review

1 Scopus citations

Abstract

The utility of an optimization approach to couple forward looking dispersion models with backward looking receptor models is discussed. For circularly symmetric source/receptor configurations, the model can correctly identify a single source that is expected to contribute to the total pollutant monitored at a receptor when the synthetic data is created using the same dispersion model and meteorological data. When an actual configuration is used with synthetic emissions and meteorological data, the coupled model can identify a single source. When the direction of the source from the receptor is not independent from other sources or the source is sufficiently far away it is easy to misidentify additional sources.

Original language	English
Pages	115-123
Number of pages	9
State	Published - 2004
Event	13th Joint Conference on the Applications of Air Pollution Meterology with the Air and Waste Management Association - Vancouver, BC, Canada Duration: Aug 23 2004 → Aug 26 2004

Conference

Conference	13th Joint Conference on the Applications of Air Pollution Meterology with the Air and Waste Management Association
Country/Territory	Canada
City	Vancouver, BC
Period	08/23/04 → 08/26/04

Cite this

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title = "Coupled receptor/dispersion modeling with a genetic algorithm",

abstract = "The utility of an optimization approach to couple forward looking dispersion models with backward looking receptor models is discussed. For circularly symmetric source/receptor configurations, the model can correctly identify a single source that is expected to contribute to the total pollutant monitored at a receptor when the synthetic data is created using the same dispersion model and meteorological data. When an actual configuration is used with synthetic emissions and meteorological data, the coupled model can identify a single source. When the direction of the source from the receptor is not independent from other sources or the source is sufficiently far away it is easy to misidentify additional sources.",

author = "Haupt, \{Sue Ellen\}",

year = "2004",

language = "English",

pages = "115--123",

note = "13th Joint Conference on the Applications of Air Pollution Meterology with the Air and Waste Management Association ; Conference date: 23-08-2004 Through 26-08-2004",

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T1 - Coupled receptor/dispersion modeling with a genetic algorithm

AU - Haupt, Sue Ellen

PY - 2004

Y1 - 2004

N2 - The utility of an optimization approach to couple forward looking dispersion models with backward looking receptor models is discussed. For circularly symmetric source/receptor configurations, the model can correctly identify a single source that is expected to contribute to the total pollutant monitored at a receptor when the synthetic data is created using the same dispersion model and meteorological data. When an actual configuration is used with synthetic emissions and meteorological data, the coupled model can identify a single source. When the direction of the source from the receptor is not independent from other sources or the source is sufficiently far away it is easy to misidentify additional sources.

AB - The utility of an optimization approach to couple forward looking dispersion models with backward looking receptor models is discussed. For circularly symmetric source/receptor configurations, the model can correctly identify a single source that is expected to contribute to the total pollutant monitored at a receptor when the synthetic data is created using the same dispersion model and meteorological data. When an actual configuration is used with synthetic emissions and meteorological data, the coupled model can identify a single source. When the direction of the source from the receptor is not independent from other sources or the source is sufficiently far away it is easy to misidentify additional sources.

UR - https://www.scopus.com/pages/publications/22144483105

M3 - Paper

AN - SCOPUS:22144483105

SP - 115

EP - 123

T2 - 13th Joint Conference on the Applications of Air Pollution Meterology with the Air and Waste Management Association

Y2 - 23 August 2004 through 26 August 2004

ER -

Coupled receptor/dispersion modeling with a genetic algorithm

Abstract

Conference

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