- Details
- First Published
- 12 Oct 2020
- Languages
- English
- Pages
- 88
- Illustration
- -
- Copyright
- ©
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.- Format
- ISBN
- 9788395609527
- First Published
- 26 Aug 2020
- E-Pub
- ISBN
- 9788395609527
- First Published
- 26 Aug 2020
- PaperBack
- ISBN
- 9788395609510
- First Published
- 31 Dec 2020
- Book Subjects
- Computer Sciences, Software Development, Geosciences, Atmospheric Science and Climatology, Mathematics, Numerical and Computational Mathematics
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
- EBSCO Discovery Service
- Google Scholar
- J-Gate
- Naviga (Softweco)
- Primo Central (ExLibris)
- ReadCube
- Summon (ProQuest)
- TDOne (TDNet)
- WorldCat (OCLC)
Romualdo Salcedo, Faculty of Engineering, Lepabe, University of Porto, Porto, Portugal