Source reconstruction based on inverse atmospheric transport modelling with deposition measurements

Stijn Van Leuven; Pieter De Meutter; Johan Camps; Piet Termonia; Andy Delcloo

Source reconstruction based on inverse atmospheric transport modelling with deposition measurements

Stijn Van Leuven, Pieter De Meutter, Johan Camps, Piet Termonia, Andy Delcloo

Crisis Management and Decision Support

Research output › peer-review

5 Downloads (Pure)

Abstract

The use of deposition measurements as a tool in inverse modelling is assessed by applying the technique to the case of an undisclosed large release of ¹⁰⁶Ru in Eurasia during the autumn of 2017. The atmospheric transport model utilized for this investigation is FLEXPART, which is used to calculate the source-receptor sensitivities in backwards-in-time mode. Inverse modelling is performed with the inverse modelling tool FREAR, which has been amended to be compatible with deposition measurements as part of this work. A twin-experiment based on the ¹⁰⁶Ru release is implemented. Here the atmospheric transport model is ran in forward mode to generate synthetic observations, circumventing the impact of measurement and meteorological model errors. These synthetic observations are then used in Bayesian- and cost function-based inverse modelling schemes to reconstruct the initial source location.

Original language	English
Title of host publication	22nd International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2024
Publisher	Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO
Number of pages	5
ISBN (Electronic)	9780000000002
State	Published - 2024
Event	2024 - HARMO 22: 22nd International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes - Pärnu Duration: 10 Jun 2024 → 13 Jun 2024 https://harmo.org/ https://harmo22.ut.ee/

Publication series

Name	22nd International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2024

Conference

Conference	2024 - HARMO 22
Abbreviated title	HARMO22
Country/Territory	Estonia
City	Pärnu
Period	2024-06-10 → 2024-06-13
Internet address	https://harmo.org/ https://harmo22.ut.ee/

ASJC Scopus subject areas

Atmospheric Science
Pollution
Modelling and Simulation

Access to Document

H22-060_Stijn_Van_Leuven_T5Final published version, 647 KBLicense: Unspecified

https://www.harmo.org/conference.php?id=22License: Unspecified

Cite this

Van Leuven, S., De Meutter, P., Camps, J., Termonia, P., & Delcloo, A. (2024). Source reconstruction based on inverse atmospheric transport modelling with deposition measurements. In 22nd International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2024 Article H22-5 (22nd International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2024). Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO. https://www.harmo.org/conference.php?id=22

Van Leuven, Stijn ; De Meutter, Pieter ; Camps, Johan et al. / Source reconstruction based on inverse atmospheric transport modelling with deposition measurements. 22nd International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2024. Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO, 2024. (22nd International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2024).

@inproceedings{73695687bca942caa1246349d43b03b0,

title = "Source reconstruction based on inverse atmospheric transport modelling with deposition measurements",

abstract = "The use of deposition measurements as a tool in inverse modelling is assessed by applying the technique to the case of an undisclosed large release of 106Ru in Eurasia during the autumn of 2017. The atmospheric transport model utilized for this investigation is FLEXPART, which is used to calculate the source-receptor sensitivities in backwards-in-time mode. Inverse modelling is performed with the inverse modelling tool FREAR, which has been amended to be compatible with deposition measurements as part of this work. A twin-experiment based on the 106Ru release is implemented. Here the atmospheric transport model is ran in forward mode to generate synthetic observations, circumventing the impact of measurement and meteorological model errors. These synthetic observations are then used in Bayesian- and cost function-based inverse modelling schemes to reconstruct the initial source location.",

keywords = "FLEXPART, FREAR, Inverse modelling, Ruthenium-106, Twin-experiment, Wet & dry deposition",

author = "{Van Leuven}, Stijn and {De Meutter}, Pieter and Johan Camps and Piet Termonia and Andy Delcloo",

note = "Score=3 Publisher Copyright: {\textcopyright} 2024 22nd International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2024. All rights reserved.; 2024 - HARMO 22 : 22nd International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO22 ; Conference date: 10-06-2024 Through 13-06-2024",

year = "2024",

language = "English",

series = "22nd International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2024",

publisher = "Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO",

booktitle = "22nd International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2024",

url = "https://harmo.org/, https://harmo22.ut.ee/",

}

Van Leuven, S , De Meutter, P , Camps, J, Termonia, P & Delcloo, A 2024, Source reconstruction based on inverse atmospheric transport modelling with deposition measurements. in 22nd International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2024., H22-5, 22nd International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2024, Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO, 2024 - HARMO 22, Pärnu, Estonia, 2024-06-10. <https://www.harmo.org/conference.php?id=22>

Source reconstruction based on inverse atmospheric transport modelling with deposition measurements. / Van Leuven, Stijn ; De Meutter, Pieter ; Camps, Johan et al.
22nd International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2024. Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO, 2024. H22-5 (22nd International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2024).

Research output › peer-review

TY - GEN

T1 - Source reconstruction based on inverse atmospheric transport modelling with deposition measurements

AU - Van Leuven, Stijn

AU - De Meutter, Pieter

AU - Camps, Johan

AU - Termonia, Piet

AU - Delcloo, Andy

PY - 2024

Y1 - 2024

N2 - The use of deposition measurements as a tool in inverse modelling is assessed by applying the technique to the case of an undisclosed large release of 106Ru in Eurasia during the autumn of 2017. The atmospheric transport model utilized for this investigation is FLEXPART, which is used to calculate the source-receptor sensitivities in backwards-in-time mode. Inverse modelling is performed with the inverse modelling tool FREAR, which has been amended to be compatible with deposition measurements as part of this work. A twin-experiment based on the 106Ru release is implemented. Here the atmospheric transport model is ran in forward mode to generate synthetic observations, circumventing the impact of measurement and meteorological model errors. These synthetic observations are then used in Bayesian- and cost function-based inverse modelling schemes to reconstruct the initial source location.

AB - The use of deposition measurements as a tool in inverse modelling is assessed by applying the technique to the case of an undisclosed large release of 106Ru in Eurasia during the autumn of 2017. The atmospheric transport model utilized for this investigation is FLEXPART, which is used to calculate the source-receptor sensitivities in backwards-in-time mode. Inverse modelling is performed with the inverse modelling tool FREAR, which has been amended to be compatible with deposition measurements as part of this work. A twin-experiment based on the 106Ru release is implemented. Here the atmospheric transport model is ran in forward mode to generate synthetic observations, circumventing the impact of measurement and meteorological model errors. These synthetic observations are then used in Bayesian- and cost function-based inverse modelling schemes to reconstruct the initial source location.

KW - FLEXPART

KW - FREAR

KW - Inverse modelling

KW - Ruthenium-106

KW - Twin-experiment

KW - Wet & dry deposition

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M3 - In-proceedings paper

AN - SCOPUS:85212582723

T3 - 22nd International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2024

BT - 22nd International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2024

PB - Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO

T2 - 2024 - HARMO 22

Y2 - 10 June 2024 through 13 June 2024

ER -

Van Leuven S , De Meutter P , Camps J, Termonia P, Delcloo A. Source reconstruction based on inverse atmospheric transport modelling with deposition measurements. In 22nd International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2024. Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO. 2024. H22-5. (22nd International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2024).