IMDIS : A Teaching Tool for Air Pollution Dispersion Modelling

A distinguishing feature of IMDIS is the capability to find globally maximum concentrations under multisource/rose-wind conditions, either from real meteorological data or from potentially worst-case scenarios (critical conditions). The later seem to be especially relevant to the atomic energy indus...

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Autor principal: Romualdo Salcedo
Formato: Libro
Publicado: Sciendo 2020
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Acceso en línea:Ver este registro en EBSCOhost
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        au: Romualdo Salcedo
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        Atmospheric diffusion--Mathematical models
        Air--Pollution--Mathematical models
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          Atmospheric diffusion--Mathematical models
          Air--Pollution--Mathematical models
      ab: A distinguishing feature of IMDIS is the capability to find globally maximum concentrations under multisource/rose-wind conditions, either from real meteorological data or from potentially worst-case scenarios (critical conditions). The later seem to be especially relevant to the atomic energy industry. ABSTRACTING & INDEXING IMDIS is covered by the following services: Baidu Scholar CNKI Scholar (China National Knowledge Infrastructure) Dimensions ExLibris Google Books Google Scholar Naviga ReadCube Semantic Scholar TDOne (TDNet) WorldCat (OCLC) X-MOL
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