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- H.-J.Zimmermann
Computational Intelligence and Environmental Planning - Stanislaw R. Massel
Measurement, Data Processing and Modelling in the Modern Marine Studies - Jozef M. Pacyna
The DPSIR Framework as a Scientific Support for Policy Response and Management Options in the Coastal Zone
Computational Intelligence and Environmental Planning
Prof.em.Dr.Drs.h.c.H.-J.ZimmermannRWTH-Aachen
Korneliusstr.5
D-52076 Aachen(Germany)
URL: www.OR.Rwth-Aachen.de/deutsch/Chef/zihome.html
Abstract
Fuzzy Set Theory, Artificial Neural Nets and Evolutionary Computation are areas which try to mimic human or biological behaviour or structures in order to solve problems better than it is possible with traditional formal algorithms. The three areas are about of the same age and they developed for almost 30 years completely separately. At the beginning of the 90th it was recognised that considerable synergies could be realised if those disciplines would be working together. Hence in 1992 - beginning with conferences in Europe, Japan and the USA and later also in other ways - the three paradigms combined their efforts . Since then this area is generally called Computational Intelligence or Soft Computing. Its methods have been applied to many real problems and by now there exist certainly more than 60 000 publications.
Environmental Planning (which is here taken to include environmental engineering and environmental science) is a rather new area which has a number of features, which can only be accommodated by classical mathematical models and methods to a certain degree. It has already become obvious, that methods of CI are very well suited to model and solve many problems of Environmental Planning.
In the presentation the basic strengths and limitations of CI (particularly of fuzzy technologies) and some of the characteristic features of Environmental Planning will first be described and analysed. They will then be matched, examples of successful applications will be shown and future potentials will be described and evaluated.
Measurement, Data Processing and Modelling in the Modern Marine Studies
Stanislaw R. MasselInstitute of Oceanology of the Polish Academy of Sciences
Powstancow Warszawy 55
81-712 Sopot, Poland
www.iopan.gda.pl
Areas of expertise
Physical Oceanology, Ocean and Coastal Engineering
Dr J. Wyrwinski (co-author)
Areas of expertise
Electronics, Communication Systems, Marine Technology
The DPSIR Framework as a Scientific Support for Policy Response and Management Options in the Coastal Zone
Jozef M. PacynaCenter for Ecological Economics
Norwegian Institute for Air Research, Kjeller, Norway
Gdansk University of Technology
Chemical Faculty, Gdansk, Poland
Elisabeth G. Pacyna
Center for Ecological Economics
Norwegian Institute for Air Research, Kjeller, Norway
Jacek Namiesnik
Gdansk University of Technology
Chemical Faculty, Gdansk, Poland
Boguslaw Buszewski
Nicolaus Copernicus University of Torun
Chemical Faculty, Torun, Poland
Abstract
The Drivers-Pressures-State-Impact-Response (DPSIR) framework, used in various analyses of the functioning and management of the environment in the past, has been adopted as a starting point in the integrated assessment of socio-economic drivers of environmental changes in the coastal zone in Europe. The DPSIR framework allows for a qualitative description of various interactions between the causes and consequences of the change in the environment. As such, the DPSIR framework provides a platform for development of tools needed for the analysis of quantitative relationships in the environment. However, it should be realized that this framework is not a model or assessment methodology. It is a simplified organizational and auditing framework which helps integration of the methods of environmental and socio-economic assessments of the environmental change. An application of the DPSIR framework to analyze the past changes and future scenarios of the coastal ecosystem in the Gdansk region due to changes in the Vistula catchment will be presented.