An Inverse Method for Determining Source Characteristics for Emergency Response Applications

Boundary-Layer Meteorology

Volumn 144, Issue 1, 2012, Pages 1-20

  Rudd, A C ^a   Robins, A G ^b   Lepley, J J ^c   Belcher, S E ^a  

^a UNIVERSITY OF READING   (United Kingdom)

^b UNIVERSITY OF SURREY   (United Kingdom)

^c SELEX Galileo Ltd   (United Kingdom)

Author keywords

Dispersion modelling; Gaussian plume model; Inverse problem; Uncertainties; Wind tunnel studies

Indexed keywords

ATMOSPHERIC RELEASE; AVERAGING TIME; CHEMICAL AGENT; CONCENTRATION-TIME; DISPERSION MODELLING; EMERGENCY RESPONSE; FIRST RESPONDERS; FULL SCALE; GAUSSIAN PLUME MODELS; GROUND-LEVEL; HUMAN LIVES; INVERSE ALGORITHM; INVERSE METHODS; INVERSE MODELLING; MODEL ERRORS; OUTDOOR ENVIRONMENT; PASSIVE TRACERS; SAMPLING ERRORS; SAMPLING TIME; SIMULTANEOUS MEASUREMENT; SOURCE CHARACTERISTICS; SOURCE STRENGTH; UNCERTAINTIES; WIND-TUNNEL STUDIES;

ATMOSPHERIC MOVEMENTS; ESTIMATION; INVERSE PROBLEMS; SENSORS; WIND TUNNELS;

UNCERTAINTY ANALYSIS;

ACCURACY ASSESSMENT; AIR SAMPLING; ATMOSPHERIC CHEMISTRY; CONCENTRATION (COMPOSITION); DATA SET; DISPERSION; ESTIMATION METHOD; INVERSE ANALYSIS; METEOROLOGY; NUMERICAL MODEL; SENSOR; TRACER; WIND TUNNEL;

EID: 84858011446     PISSN: 00068314     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10546-012-9712-y     Document Type: Article

References (17)

1. Bannister R (2003) The method of least squares used to invert an orbit problem. Am J Phys 71: 1268-1275.
2. EnFlo (2011) http://portal.surrey.ac.uk/portal/page?_pageid=822,357581&_dad=portal&_schema=PORTAL.
3. Griffiths RF (1994) Errors in the use of the Briggs parameterisation for atmospheric dispersion coefficients. Atmos Environ 28: 2861-2865.
4. Haupt SE, Young GS, Long KL, Beyer-Lout A, Annunzio AJ (2008) Data fusion and prediction for CBRN transport and dispersion for security. In Aerospace conference, March 2008, IEEE, pp 1-9.
5. Hunt JCR, Carruthers DJ, Britter RE, Daish NC (2004) Dispersion from accidental releases in urban areas. Unpublished report for the ADMLC. http://www. admlc. org. uk/publications. htm.
6. Islam MA (1999) Application of a Gaussian plume model to determine the location of an unknown emission source. Water Air Soil Pollut 112: 241-245.
7. Keats A, Yee E, Lien F-S (2007) Bayesian inference for source determination with applications to a complex urban environment. Atmos Environ 41: 465-479.
8. Khemka A, Bouman CA, Bell MR (2006) Inverse problems in atmospheric dispersion with randomly scattered sensors. Digital Signal Process 16: 638-651.
9. Krysta M, Bocquet M, Sportisse B, Isnard O (2006) Data assimilation for short-range dispersion of radionuclides: an application to wind tunnel data. Atmos Environ 40: 7267-7279.
10. Pasquill F, Smith FB (1983) Atmospheric diffusion-study of dispersion of windborne material from industrial and other sources. Ellis Horwood Series in Environmental Science, Chichester, 320 pp.
11. Quélo D, Sportisse B, Isnard O (2005) Data assimilation for short range atmospheric dispersion of radionuclides: a case study of second-order sensitivity. J Environ Radioact 84: 393-408.
12. Rao KS (2007) Source estimation methods for atmospheric dispersion. Atmos Environ 41: 6964-6973.
13. Rodgers CD (2000) Inverse methods for atmospheric sounding: theory and practice. World Scientific Publishing Co. Pte. Ltd., Singapore, ISBN 978-981-02-2740-1, 85 pp.
14. Sohn MD, Reynolds P, Singh N, Gadgil AJ (2002) Rapidly locating and characterizing pollutant releases in buildings. J Air Waste Manag Assoc 52: 1422-1432.
15. Soulhac L, Puel C, Duclaux O, Perkins R (2003) Simulations of atmospheric pollution in Greater Lyon an example of the use of nested models. Atmos Environ 37: 5147-5156.
16. Taylor GI (1921) Diffusion by continuous movements. Proc Lond Math Soc 20: 196-210.
17. Thomson LC, Hirst B, Gibson G, Gillespie S, Jonathan P, Skeldon KD, Padgett MJ (2007) An improved algorithm for locating a gas source using inverse methods. Atmos Environ 41: 1128-1134.