Editors: "István Faragó", "Ágnes Havasi", "Zahari Zlatev"

Advanced Numerical Methods for Complex Environmental Models: Needs and Availability

Personal Book: US $79 Special Offer (PDF + Printed Copy): US $186
Printed Copy: US $147
Library Book: US $316
ISBN: 978-1-60805-777-1
eISBN: 978-1-60805-778-8 (Online)
DOI: 10.2174/97816080577881130101

Introduction

High air pollution levels pose a significant threat to plants, animals and human beings. Efforts by researchers are directed towards keeping air pollution levels below well defined ‘critical‘ levels in order to maintain a sustainable atmosphere and environmental system. The application of advanced mathematical models is important for researchers to achieve this goal as efficiently as possible.

Mathematical models can be used to predict answers to many important questions about the environment. However, their application will be successful only when several theoretical and practical obstacles are efficiently removed. A successfully applicable mathematical model needs to enable researchers to

  • - Mathematically describe all important physical and chemical processes.
  • - Apply fast and sufficiently accurate numerical methods.
  • - Ensure that the model runs efficiently on modern high speed computers.
  • - Use high quality input data, both meteorological data and emission inventories, in the runs.
  • - Verify the model results by comparing them with reliable measurements taken in different parts of the spatial domain of the model.
  • - Carry out long series of sensitivity experiments to check the response of the model to changes of different key parameters.
  • - Visualize and animate the output results in order to make them easily understandable even to non-specialists.

This monograph thoroughly describes mathematical methods useful for various situations in environmental modeling - including finite difference methods, splitting methods, parallel computation, etc. - and provides a framework for resolving problems posed in relation to the points listed above. Chapters are written by well-known specialists making this book a handy reference for researchers, university teachers and students working and studying in the areas of air pollution, meteorology, applied mathematics and computer science.

Contributors

Editor(s):
István Faragó
Department of Applied Analysis and Computational Mathematics and HAS ELTE
Research Group “Numerical Analysis and Large Networks”Eötvös Loránd University
Budapest
Hungary


Ágnes Havasi
Department of Applied Analysis and Computational Mathematics and HAS ELTE
Research Group “Numerical Analysis and Large Networks” Eötvös Loránd University
Budapest
Hungary


Zahari Zlatev
Department of Environmental Science
Aarhus University
Roskilde
Denmark




Contributor(s):
Adolf Ebel
Rhenish Institute for Environmental Research at the University of Cologne
Aachener Str. 209
Cologne, 50931
Germany


Ágnes Havasi
Department of Applied Analysis and Computational Mathematics
Eötvös Loránd University
Pázmány P. s 1/C
Budapest, H-1117
Hungary


Ana I. Miranda
University of Aveiro
Centre for Environmental and Marine Studies (CESAM) & Department of Environment and Planning
Aveiro, 3810-193
Portugal


Ana M. Costa
University of Aveiro
Centre for Environmental and Marine Studies (CESAM) & Department of Environment and Planning
Aveiro, 3810-193
Portugal


Barry Koren
Department of Mathematics and Computer Science
Eindhoven University of Technology
P.O. Box 513
Eindhoven
MB, 5600
The Netherlands


Bram van Es
FOM Institute DIFFER - Dutch Institute for Fundamental Energy Research
Edisonbaan 14
Nieuwegein
The Netherlands
/
CentrumWiskunde & Informatica
Science Park 123
Amsterdam
The Netherlands


Carlos Borrego
Centre for Environmental and Marine Studies (CESAM) & Department of Environment and Planning
University of Aveiro
Aveiro, 3810-193
Portugal


Dacian N. Daescu
Portland State University
P.O. Box 751
Portland
OR, 97207
USA


Fanni Dóra Kelemen
Department of Meteorology
Eötvös Loránd University
Budapest
Hungary


Hugo de Blank
FOM Institute DIFFER - Dutch Institute for Fundamental Energy Research
Edisonbaan 14
Nieuwegein
The Netherlands


Ildikó Pieczka
Department of Meteorology
Eötvös Loránd University
Budapest
Hungary


Ionel M. Navon
Florida State University
Tallahassee
Florida
U.S.A


István Faragó
Department of Applied Analysis and Computational Mathematics
Eötvös Loránd University
Pázmány P. s. 1/C
Budapest, H-1117
Hungary


Ivan Dimov
Institute of Information and Communication Technologies, Bulgarian Academy of Sciences
Acad. G. Bonchev str., bl. 25A
Sofia, 1113
Bulgaria


Jorge H. Amorim
CESAM & Department of Environment and Planning
University of Aveiro
Aveiro, 3810-193
Portugal


Juan L. Pérez
Environmental Software and Modeling Group, Computer Science School
Technical University of Madrid (UPM), Campus de Montegancedo
Boadilla del Monte 28660
Madrid
Spain


Judit Bartholy
Department of Meteorology
Eötvös Loránd University
Budapest
Hungary


Krassimir Georgiev
Institute of Information and Communication Technologies, Bulgarian Academy of Sciences
Acad. G. Bonchev str., bl. 25A
Sofia, 1113
Bulgaria


Michael Memmesheimer
Rhenish Institute for Environmental Research at the University of Cologne
Aachener Str. 209
Cologne, 50931
Germany


Oxana Tchepel
Centre for Environmental and Marine Studies (CESAM) & Department of Environment and Planning
University of Aveiro
Aveiro, 3810-193
Portugal


Rita Pongrácz
Department of Meteorology
Eötvös Loránd University
Budapest
Hungary


Roberto San José
Environmental Software and Modeling Group, Computer Science School
Technical University of Madrid (UPM), Campus de Montegancedo
Boadilla del Monte 28660
Madrid
Spain


Rosa M. González
epartment of Meteorology and Geophysics, Faculty of Physics
Complutense University of Madrid; Ciudad Universitaria
Madrid, 28040
Spain


Tamás Práger
Department of Meteorology
Eötvös Loránd University
Budapest
Hungary


Zahari Zlatev
National Environmental Research Institute, Aarhus University
Frederiksborgvej 399, P. O. Box 358
Roskilde, DK-4000
Denmark