PM10: Real-world data on PM10 pollution in Rouen area, France
In robingenuer/VSURF: Variable Selection Using Random Forests

PM10	R Documentation

Real-world data on PM10 pollution in Rouen area, France

Description

These data are TEOM (Tapered Element Oscillating Microbalance) PM10 concentrations from 2004 to 2006 (1096 days) measured by Air Normand, and the associated weather data provided by Meteo France, the French national meteorological service, using six different monitoring sites.

Usage

ail

gcm

gui

hri

jus

rep

Format

Each object is a data frame.

The description of the 18 variables is the following (note that for gcm station, only the pollutant SO2 is available in addition to PM10, and for ail station, there is no other pollutant in addition to PM10):

PM10: Daily mean concentration of PM10, in μ g/m^3
NO, NO2, SO2: Daily mean concentration of NO, NO2 , SO2, in μ g/m^3
T.min, T.max, T.moy: Daily minimum, maximum and mean temperature, in degree Celsius
DV.maxvv, DV.dom: Daily maximum speed and dominant wind direction, in degree (for wind direction, 0 degree corresponds to north)
VV.max, VV.moy: Daily maximum and mean wind speed, in m/s
PL.som: Daily rainfall, in mm
HR.min, HR.max, HR.moy: Daily minimum, maximum and mean relative humidity, in %
PA.moy: Daily mean air pressure, in hPa
GTrouen, GTlehavre: Daily temperature gradient, in degree Celsius

An object of class data.frame with 1096 rows and 15 columns.

An object of class data.frame with 1096 rows and 16 columns.

An object of class data.frame with 1096 rows and 18 columns.

Details

Six different monitoring stations of the Rouen (Haute Normandie, France) area are considered. The urban station jus, the traffic station gui, the second most polluted in the region, and gcm which is located in an industrial area. In Le Havre, are considered the stations rep (the most polluted in the region) and hri located at the seaside. Lastly, the station ail near Dieppe, because it is rural and coastal, and a priori hardly influenced by social and industrial activity. Grouping by categories: jus and hri are background urban monitoring sites, gui and rep are urban sites close to traffic, gcm is industrial and ail is rural.