Imdis: A Teaching Tool for Air Pollution Dispersion Modelling

By Romualdo Salcedo

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.

• Format: Paperback
• Language: English
• ISBN: 8395609515
• ISBN13: 9788395609510
• Release Date: October 2020
• Publisher: Sciendo
• Length: 88 Pages
• Grade Range: Postsecondary