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Multi-scenario validation of CALMET-RIMPUFF for local-scale atmospheric dispersion modeling around a nuclear powerplant site with complex topography.
Dong, Xinwen; Zhuang, Shuhan; Fang, Sheng; Li, Hong; Cao, Jianzhu.
Afiliación
  • Dong X; Institute of Nuclear and New Energy Technology, Collaborative Innovation Centre of Advanced Nuclear Energy Technology, Key Laboratory of Advanced Reactor Engineering and Safety of Ministry of Education, Tsinghua University, Beijing, 100084, China.
  • Zhuang S; Institute of Nuclear and New Energy Technology, Collaborative Innovation Centre of Advanced Nuclear Energy Technology, Key Laboratory of Advanced Reactor Engineering and Safety of Ministry of Education, Tsinghua University, Beijing, 100084, China.
  • Fang S; Institute of Nuclear and New Energy Technology, Collaborative Innovation Centre of Advanced Nuclear Energy Technology, Key Laboratory of Advanced Reactor Engineering and Safety of Ministry of Education, Tsinghua University, Beijing, 100084, China. Electronic address: fangsheng@tsinghua.edu.cn.
  • Li H; Institute of Nuclear and New Energy Technology, Collaborative Innovation Centre of Advanced Nuclear Energy Technology, Key Laboratory of Advanced Reactor Engineering and Safety of Ministry of Education, Tsinghua University, Beijing, 100084, China.
  • Cao J; Institute of Nuclear and New Energy Technology, Collaborative Innovation Centre of Advanced Nuclear Energy Technology, Key Laboratory of Advanced Reactor Engineering and Safety of Ministry of Education, Tsinghua University, Beijing, 100084, China.
J Environ Radioact ; 229-230: 106547, 2021 Apr.
Article en En | MEDLINE | ID: mdl-33561631
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Monitoreo de Radiación / Contaminantes Atmosféricos Tipo de estudio: Prognostic_studies Idioma: En Revista: J Environ Radioact Asunto de la revista: SAUDE AMBIENTAL Año: 2021 Tipo del documento: Article País de afiliación: China
Texto completo
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Monitoreo de Radiación / Contaminantes Atmosféricos Tipo de estudio: Prognostic_studies Idioma: En Revista: J Environ Radioact Asunto de la revista: SAUDE AMBIENTAL Año: 2021 Tipo del documento: Article País de afiliación: China