All Title Author
Keywords Abstract

Publish in OALib Journal
ISSN: 2333-9721
APC: Only $99


Relative Articles


Finding Trends of Airborne Harmful Pollutants by Using Recurrence Quantification Analysis

DOI: 10.5923/j.ajee.20110101.02

Keywords: Recurrence Plot, Air Quality, Air Pollution Modelling, Atmospheric Pollution, RQA

Full-Text   Cite this paper   Add to My Lib


In this work, the use of Recurrence Plots and Recurrence Quantification Analysis explores the changes in the non-linear behavior of harmful airborne particle concentration in four sites around London simultaneously. This research has been carried out for 6 years, using large datasets of raw data (hourly) for harmful particles such as CO, SO2, NO2, NO and Particulate Matter (PMx). Recurrence analysis has been shown to be a useful tool in many disciplines to find trends, rates and predictions. Nevertheless, it has not been shown before the feasibility of using these algorithms to extract information for pollution monitoring and control. Also, observations are made with the results and conclusions drawn from these observations, showing the feasibility of this approach in finding trends of airborne pollution.


comments powered by Disqus

Contact Us


WhatsApp +8615387084133

WeChat 1538708413