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<DIV align=justify> 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.

A Teaching Tool for Air Pollution Dispersion Modelling

Foreword

Foreword

Frontmatter

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Contents

{"title":{"xml:lang":"en","content":"Contents"}}

{"title":{"xml:lang":"en","content":"Foreword"}}

Acknowledgements

{"title":{"xml:lang":"en","content":"Acknowledgements"}}

Introduction

{"title":{"xml:lang":"en","content":"Introduction"}}

Background

{"title":{"xml:lang":"en","content":"Background"}}

1 Model Highlights

{"title":{"xml:lang":"en","content":"1 Model Highlights"}}

Overview and Program Structure

{"title":{"xml:lang":"en","content":"Overview and Program Structure"}}

1 IMDIS – User Interface and Fundamentals

1 IMDIS – User Interface and Fundamentals

{"title":{"xml:lang":"en","content":"1 IMDIS \u2013 User Interface and Fundamentals"}}

2 IMDIS: User Manual Example

{"title":{"xml:lang":"en","content":"2 IMDIS: User Manual Example"}}

<DIV align=left>Romualdo Salcedo, Faculty of Engineering, Lepabe, University of Porto, Porto, Portugal</DIV>

 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.  

 A distinguishing feature of IMDIS is the capability to find globally maximum concentrations under multisource/rose-wind conditions,...

Foreword - IMDIS

Foreword

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