Academic Journal

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

التفاصيل البيبلوغرافية
العنوان: Analysis of Key Features of Non-Linear Behaviour Using Recurrence Quantification. Case Study: Urban Airborne Pollution at Mexico City.
المؤلفون: Aceves-Fernandez, Marco, Pedraza-Ortega, J., Sotomayor-Olmedo, Artemio, Ramos-Arreguín, Juan, Vargas-Soto, J., Tovar-Arriaga, Saul
المصدر: Environmental Modeling & Assessment; Apr2014, Vol. 19 Issue 2, p139-152, 14p
مصطلحات موضوعية: POLLUTION, RECURSIVE sequences (Mathematics), ATMOSPHERIC deposition, ENVIRONMENTAL monitoring, AIR pollution, FEASIBILITY studies
مصطلحات جغرافية: MEXICO
مستخلص: 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. [ABSTRACT FROM AUTHOR]
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قاعدة البيانات: Complementary Index
الوصف
تدمد:14202026
DOI:10.1007/s10666-013-9381-3