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Computational analysis of source receptor air pollution problems

George Halkos () and Kyriaki Tsilika ()

MPRA Paper from University Library of Munich, Germany

Abstract: This study introduces a method of graph computing for Environmental Economics. Different visualization modules are used to reproduce source-receptor air pollution schemes and identify their structure. Data resources are emissions-depositions tables, available online from the European Monitoring and Evaluation Program (EMEP) of the Long-Range Transmission of Air Pollutants in Europe. In network models of pollutants exchange, we quantify the responsibility of polluters by exploring graph measures and metrics. In a second step, we depict the size of the responsibility of EU countries. We create pollution schemes for ranking the blame for the change in pollutants in the extended EMEP area. Our approach considers both the activity and the amount of pollution for each polluter. To go a step further in qualitative analysis of pollution features, we cluster countries in communities, bonded with strong polluting-based relationships. The network framework and pollution pattern visualization in tabular representations is integrated in Mathematica computer software.

Keywords: Computational data analysis; graph modeling; visual analytics; source-receptor air pollution; polluters’ responsibility. (search for similar items in EconPapers)
JEL-codes: C63 C88 P28 Q51 Q53 Q58 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-cmp, nep-ene and nep-env
Date: 2017
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