Analysis and visualization of multidimensional time series: Particulate matter (PM10) from São Carlos-SP (Brazil)
Eduardo Carlos Alexandrina, Evandro S. Ortigossa, Elaine Schornobay Lui, José Antônio Silveira Gonçalves, Nivaldo Aparecido Corrêa, Luís Gustavo Nonato, Mônica Lopes Aguiar · Atmospheric Pollution Research · 2019
Data visualization techniques have been successfully used in a time series context for many years. In this work, a web-based data visualization system was developed to support the evolutionary analysis of atmospheric particulate matter (PM 10 ) behavior, collected in the central region of São Carlos, São Paulo State, Brazil. The samples were acquired following two patterns: daily in the first stage and on alternate days in the second stage. Each measurement covered a period of 23 h and 30 min, using a large volume sampler (high-volume). To interrogate the acquired data, an interactive visualization tool was developed in JavaScript and D3 library. The tool is portable and can be used in all modern web browsers, not requiring any software installation. The values obtained from São Carlos' PM 10 monitoring campaign from 2014 to 2017 clearly showed a decrease of PM 10 in the city atmosphere, in comparison with past data from the 1997 to 2005 campaign. This decreasing trend in PM 10 concentrations could be due to an increase in the severity of law n° 997 of 05/31/1976 and decree 54.487 of 06/26/2009, which charges the anthropogenic agents with air pollution control . • A new methodology to uncover information to understand PM 10 patterns. • A freely-accessible visualization-assisted tool.