Abstract
The main goal of this paper is to go some steps further to improve the understanding and manageability of air quality. Quality of atmospheric air in large cities is a matter of great importance because of its impact on the environment and on the health of the population. Recently, measures restricting access of private vehicles to the centre of large cities and other measures to prevent atmospheric air pollution are currently topical. The knowledge of air quality acquires special relevance to be able to evaluate the impact of those great social and economic measures. There are many indices to express air quality. In fact, quite every country has its own, depending on the main pollutants. In general, all indices ignore the compositional nature of the concentrations of air pollutants and do not apply methods of Compositional Data Analysis and have some other weak points such as leak of standardized scale. Therefore, the methodology used is founded on Compositional Data Analysis. The air quality index has an adequate correlation between input (concentrations) and output (air quality index), it distinguishes between air pollution and air quality and it has a 0-100 reference scale which makes easier interpretation and management of air quality expression. To illustrate the proposed method, an application is made to a series of air pollution data (Barcelona, 2001-2015). The results show the effectiveness of the 2008 European directive on ambient air quality.
Highlights
Air pollution in cities, mainly in large cities or densely populated areas, is a burning issue that concerns citizens because of its impact on daily life and its consequences on people’s health [1,2,3,4,5,6]
The proposal is based on the concept of logcontrast and an air quality index is defined (AQI*) as a function of the geometric mean of concentrations of six air pollutants (O3, NO2, CO, SO2, PM10, PM2.5)
Compositional data analysis provides a more appropriate conceptual and methodological framework for establishing a quantitative air quality index based on air pollutant concentrations
Summary
Mainly in large cities or densely populated areas, is a burning issue that concerns citizens because of its impact on daily life and its consequences on people’s health [1,2,3,4,5,6]. The increasing demand on air quality makes it a point in urban management: cities must take measures to guarantee that air quality is at adequate levels to avoid affections on the health of population It is very important, to have an adequate methodology to quantify the expression of atmospheric air quality to help decision makers to control it correctly. Atmospheric air pollution is usually expressed by a numerical value called "Air Quality Index" (AQI). The proposal is based on the concept of logcontrast and an air quality index is defined (AQI*) as a function of the geometric mean of concentrations of six air pollutants (O3, NO2, CO, SO2, PM10, PM2.5). 3-2- How to Apply AQI* As there is stated that from the point of view of compositional data analysis, the use of log-contrasts is much more suitable and coherent as using concentrations or even log-concentrations, Figure 5 shows Log contrast and API evolution: Log contrast vs Global API
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