- Details
- Format
- Book
- First Published
- 12 Oct 2020
- Languages
- English
- Pages
- 88
- Copyright
- ©
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.- Format
- ISBN
- 978-83-956095-2-7
- First Published
- 26 Aug 2020
- E-Pub
- ISBN
- 978-83-956095-3-4
- First Published
- 26 Aug 2020
- PaperBack
- ISBN
- 978-83-956095-1-0
- 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
Bayerische Staatsbibliothek
BDS
BoD
Bowker Book Data
Ciando
CNKI Scholar (China National Knowledge Infrastructure)
Dimensions
EBSCO
ExLibris
Google Books
Google Scholar
Naviga
ReadCube
Semantic Scholar
TDOne (TDNet)
WorldCat (OCLC)
X-MOL
Additionally, the proceedings volume is registered and indexed in the Crossref database and accessible on Amazon.
Romualdo Salcedo, Faculty of Engineering, Lepabe, University of Porto, Porto, Portugal
Frontmatter
Contents
Foreword
Acknowledgements
Introduction
Background
1 Model Highlights
Overview and Program Structure
1 IMDIS – User Interface and Fundamentals
2 IMDIS: User Manual Example