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 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