Abstract
ABSTRACT From the mid-1990s, a network of surveillance and prevention of atmospheric contamination has been running to control the levels of airborne pollution in urban and industrial (petrochemical) areas of Tarragona (Catalonia, Spain). Airborne concentrations of SO2, NO2, O3, H2S, and CO, as well as PM10, are routinely analyzed and used to establish the air quality. However, only single substances, rather than the global incidence of all contaminants as a whole, are taken into account. Moreover, specific data from the population are not considered. In the present study, a modified version of a previously developed fuzzy-based risk evaluation technique was developed. The method was fed with real monitoring data, instead of theoretical results from modeling. Hazard (air levels) and Exposure parameters (location sensitivity and population density) were used to create fuzzy sets and, subsequently, to generate a risk map. This tool was subsequently applied to the case-study of the petrochemical area of Tarragona by means of generating risk maps. The combination of geographic information system (GIS) and fuzzy logic tools proved to be successful as a help for stakeholders involved in the decision-making process.
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