Analysis of Key Features of Non-Linear Behaviour Using Recurrence Quantification. Case Study: Urban Airborne Pollution at Mexico City

作者：Aceves Fernandez Marco A^*; Carlos Pedraza Ortega J; Sotomayor Olmedo Artemio; Ramos Arreguin Juan M; Emilio Vargas Soto J; Tovar Arriaga Saul

来源：Environmental Modeling & Assessment, 2014, 19(2): 139-152.

DOI：10.1007/s10666-013-9381-3

• Recurrence plot
• Air quality
• Air pollution modelling
• Atmospheric pollution
• Recurrence quantification analysis

The use of recurrence plots have been extensively used in various fields. In this work, recurrence plots investigate the changes in the non-linear behaviour of urban air pollution using large datasets of raw data (hourly). This analysis has not been used before to extract information from large datasets for this type of non-linear problem. Two different approaches have been used to tackle this problem. The first approach is to show results according to monitoring network. The second approach is to show the results by particle type. This analysis shows the feasibility of using recurrence analysis for pollution monitoring and control.

• 出版日期2014-4