| PM10 {VSURF} | 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
\mu g/m^3- NO, NO2, SO2
Daily mean concentration of NO, NO2 , SO2, in
\mu 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.
An object of class data.frame with 1096 rows and 18 columns.
An object of class data.frame with 1096 rows and 18 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.
Source
F.-X. Jollois, J.-M. Poggi, B. Portier, Three non-linear statistical methods to analyze PM10 pollution in Rouen area. CSBIGS 3(1): 1-17, 2009