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2016 | OriginalPaper | Buchkapitel

Fuzzy Cognitive Maps for Long-Term Prognosis of the Evolution of Atmospheric Pollution, Based on Climate Change Scenarios: The Case of Athens

verfasst von : Vardis-Dimitris Anezakis, Konstantinos Dermetzis, Lazaros Iliadis, Stefanos Spartalis

Erschienen in: Computational Collective Intelligence

Verlag: Springer International Publishing

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Abstract

Air pollution is related to the concentration of harmful substances in the lower layers of the atmosphere and it is one of the most serious problems threatening the modern way of life. Determination of the conditions that cause maximization of the problem and assessment of the catalytic effect of relative humidity and temperature are important research subjects in the evaluation of environmental risk. This research effort describes an innovative model towards the forecasting of both primary and secondary air pollutants in the center of Athens, by employing Soft Computing Techniques. More specifically, Fuzzy Cognitive Maps are used to analyze the conditions and to correlate the factors contributing to air pollution. According to the climate change scenarios till 2100, there is going to be a serious fluctuation of the average temperature and rainfall in a global scale. This modeling effort aims in forecasting the evolution of the air pollutants concentrations in Athens as a consequence of the upcoming climate change.

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Titel: Fuzzy Cognitive Maps for Long-Term Prognosis of the Evolution of Atmospheric Pollution, Based on Climate Change Scenarios: The Case of Athens
verfasst von: Vardis-Dimitris Anezakis
Konstantinos Dermetzis
Lazaros Iliadis
Stefanos Spartalis
Verlag: Springer International Publishing
Buch: Computational Collective Intelligence
Print ISBN: 978-3-319-45242-5

Electronic ISBN: 978-3-319-45243-2

Copyright-Jahr: 2016
DOI: https://doi.org/10.1007/978-3-319-45243-2_16

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