Advanced Source Inversion Module of the JRODOS System

Kovalets, Ivan V.; Andronopoulos, S.; Hofman, Radek; Seibert, Petra; Ievdin, I.; Pylypenko, Oleksandr

doi:10.1007/978-981-13-3281-4_10

Cited by 1 publication

(2 citation statements)

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“…In a previous work [20], Kovalets et al integrated an algorithm of estimation of timedependent emission rates for the case of a known source location in the Lagrangian ADM DIPCOT (DIsPersion over COmplex Terrain) [21,22], functioning within the EC-funded nuclear emergency response system RODOS (Real-time On-line Decision Support system for nuclear emergency management) [23]. The goal of the present work is to develop a computationally efficient source inversion algorithm for the case of an unknown source location applied with the DIPCOT ADM suitable for further integration in real-time decision support systems, such as RODOS.…”

Section: Introductionmentioning

confidence: 90%

“…Besides the strong public interest for information about the unknown source of detected radionuclides, radiation protection authorities are highly interested in the operational applicability of computational methods for this purpose. Some progress has been achieved in an automated solution of the source inversion problem in the case of a known source location-assessing in this case the quantities of the released substances [19,20]. In case of an unknown source location, an operational version of a simplified source inversion method was developed by Wotawa et al [7] for the Comprehensive Nuclear-Test-Ban Treaty Organization (CTBTO).…”

Section: Introductionmentioning

confidence: 99%

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Method of Source Identification Following an Accidental Release at an Unknown Location Using a Lagrangian Atmospheric Dispersion Model

Andronopoulos

Kovalets

2021

Atmosphere

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A computationally efficient source inversion algorithm was developed and applied with the Lagrangian atmospheric dispersion model DIPCOT. In the process of source location estimation by minimizing a correlation-based cost function, the algorithm uses only the values of the time-integrated concentrations at the monitoring stations instead of all of the individual measurements in the full concentration-time series, resulting in a significant reduction in the number of integrations of the backward transport equations. Following the source location estimation the release start time, duration and emission rate are assessed. The developed algorithm was verified for the conditions of the ETEX-I (European Tracer Experiment—1st release). Using time-integrated measurements from all available stations, the distance between the estimated and true source location was 108 km. The estimated start time of the release was only about 1 h different from the true value, within the possible accuracy of estimate of this parameter. The estimated release duration was 21 h (the true value was 12 h). The estimated release rate was 4.28 g/s (the true value was 7.95 g/s). The estimated released mass almost perfectly fitted the true released mass (323.6 vs. 343.4 kg). It thus could be concluded that the developed algorithm is suitable for further integration in real-time decision support systems.

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Section: Introductionmentioning

confidence: 90%