Comparing model skills for deterministic versus ensemble dispersion modelling: The Fukushima Daiichi NPP accident as a case study-Reference-Cited by-同舟云学术

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Comparing model skills for deterministic versus ensemble dispersion modelling: The Fukushima Daiichi NPP accident as a case study

Published:2022-02 Issue: Volume:806 Page:150128
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Ulimoen Magnus,Berge Erik,Klein Heiko,Salbu Brit,Lind Ole Christian

Funder

Research Council of Norway

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference44 articles.

1. Emission of spherical cesium-bearing particles from an early stage of the Fukushima nuclear accident;Adachi;Sci. Rep.,2013

2. Parameterisation of radionuclide deposition in atmospheric long-range transport modelling;Baklanov;Phys. Chem. Earth Part B,2001

3. Operational Snap Model for Remote Applications From NRPA;Bartnicki,2011

4. Atmospheric transport of radioactive debris to Norway in case of a hypothetical accident related to the recovery of the Russian submarine K-27;Bartnicki;J. Environ. Radioact.,2016

5. Uncertainties in short term prediction of atmospheric dispersion of radionuclides. A case study of a hypothetical accident in a nuclear floating power plant off the West coast of Norway;Berge;J. Environ. Radioact.,2021

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1. A study of particle dry deposition parameterizations in an atmospheric radioactive preparedness model: Application to the Chernobyl case;Journal of Hazardous Materials;2024-08

2. Resilient design in nuclear energy: Critical lessons from a cross-disciplinary analysis of the Fukushima Dai-ichi nuclear accident;iScience;2024-04

3. The effect of using Filtered Containment Venting System on variation in dose with distance in the prompt accident consequence assessment;Journal of Nuclear Science and Technology;2024-02-19

4. Using synthetic case studies to explore the spread and calibration of ensemble atmospheric dispersion forecasts;Atmospheric Chemistry and Physics;2023-10-09

5. Localisation of atmospheric release of radioisotopes using inverse methods and footprints of receptors as sources;Journal of Hazardous Materials;2023-06

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