A functional exploratory data analysis of PM10 using California monitoring data
Abstract
The study of the effects of air pollutants on health and the environment continues to be an important problem. Particulate matter is among the most harmful air pollutants, and levels of PM10 (particles less than 10 micrometers in diameter) for regions of California are among the highest in the US. The relatively high frequency of daily PM10 sampling enables us to treat the data as functional data if PM10 measurements are viewed as a continuous function of time. We aim to explore the seasonal and year-to-year variations of PM10 using functional data analysis methods in this on-going work.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2016
- Bibcode:
- 2016AGUFM.A21G0158M
- Keywords:
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- 0345 Pollution: urban and regional;
- ATMOSPHERIC COMPOSITION AND STRUCTUREDE: 0365 Troposphere: composition and chemistry;
- ATMOSPHERIC COMPOSITION AND STRUCTUREDE: 0394 Instruments and techniques;
- ATMOSPHERIC COMPOSITION AND STRUCTURE