pm_10_GR: Particulate Matter Concentrations (pm10)

In ftsa: Functional Time Series Analysis

Particulate Matter Concentrations (pm10)

Description

This data set consists of half-hourly measurement of the concentrations (measured in ug/m3) of particular matter with an aerodynamic diameter of less than 10um, abbreviated PM10, in ambient air taken in Graz-Mitte, Austria from October 1, 2010 until March 31, 2011. To stabilise the variance, a square-root transformation can be applied to the data.

Usage

data(pm_10_GR)

Details

As epidemiological and toxicological studies have pointed to negative health effects, European Union (EU) regulation sets pollution standards for the level of the concentration. Policy makers have to ensure compliance with these EU rules and need reliable statistical tools to determine, and justify the public, appropriate measures such as partial traffic regulation (see Stadlober, Hormann and Pfeiler, 2008).

Source

Thanks Professor Siegfried. Hormann for providing this data set. The original data source is https://www.umwelt.steiermark.at/cms/

References

A. Aue, D. D. Norinho, S. Hormann (2015) "On the prediction of stationary functional time series", Journal of the American Statistical Association, 110(509), 378-392.

E. Stadlober, S. Hormann, B. Pfeiler (2008) "Quality and performance of a PM10 daily forecasting model", Atmospheric Environment, 42, 1098-1109.

S. Hormann, B. Pfeiler, E. Stadlober (2005) "Analysis and prediction of particulate matter PM10 for the winter season in Graz", Austrian Journal of Statistics, 34(4), 307-326.

H. L. Shang (2017) "Functional time series forecasting with dynamic updating: An application to intraday particulate matter concentration", Econometrics and Statistics, 1, 184-200.

Examples

plot(pm_10_GR)

ftsa documentation built on Sept. 11, 2023, 5:09 p.m.