Automated source term and wind parameter estimation for atmospheric transport and dispersion applications-Reference-Cited by-同舟云学术

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Automated source term and wind parameter estimation for atmospheric transport and dispersion applications

Published:2015-12 Issue: Volume:122 Page:206-219
ISSN:1352-2310
Container-title:Atmospheric Environment
language:en
Short-container-title:Atmospheric Environment

Author:

Bieringer Paul E.,Rodriguez Luna M.,Vandenberghe Francois,Hurst Jonathan G.,Bieberbach George,Sykes Ian,Hannan John R.,Zaragoza Jake,Fry Richard N.

Funder

Inter Agency Cost Reimbursement Order

Publisher

Elsevier BV

Subject

Atmospheric Science,General Environmental Science

Reference43 articles.

1. Improving pollutant source characterization by optimizing meteorological data with a genetic algorithm;Allen;Atmos. Environ.,2006

2. Source characterization with a receptor/dispersion model coupled with a genetic algorithm;Allen;J. Appl. Meteor. Climatol.,2007

3. Utilizing state estimation to determine the source location for a contaminant;Annunzio;Atmos. Environ.,2012

4. Methods for estimating the atmospheric radiation release from the Fukushima Dai-ichi nuclear power plant;Bieringer;Bull. Am. Meteor. Soc.,2013

5. Contrasting the use of single-realization versus ensemble-average atmospheric dispersion solutions for chemical and biological defense analyses;Bieringer;J. Appl. Meteor. Climatol.,2014

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4. A Gas Leakage Source Positioning and Estimation Algorithm Based on Deep Neural Network (DNN);2023 China Automation Congress (CAC);2023-11-17

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