monitor-to-monitor temporal correlation of air pollution in the contiguous us - outdoor monitor

Many research reports say,
Long-term association between ambient air pollution concentrations and mortality and morbidity.
Particulate matter (PM)
It is often considered the most important predictor of health outcomes among various air pollutants.
However, one problem remains that the relative error in exposure estimates associated with each pollutant plays a potential role in determining their relative correlation strength.
Although most recent studies on PM exposure measurements have focused on the temporal correlation between concentrations observed in individual exposure and ambient air quality monitoring (
Within miles of the subject)
, There are few studies that systematically evaluate the spatial uniformity of the temporal correlation of air pollution in urban scale (
Dozens of miles)
Summary of mortality or morbidity results in a timely mannerseries studies.
In this study, the spatial uniformity of time correlation was examined by calculating the monitorto-
Monitoring correlation of PM10 and gas standard pollutants using multiple monitors available (
SO2, CO and 03)
National data from 1988 to 1997.
For each monitor, the median time correlation within the air quality control area with other monitors (AQCR)was computed.
The resulting median monitor-to-
Monitoring correlation is modeled as a function of qualitative site features (i. e. , land-use, location-
Setup and monitoring-objective)
And quantity information (
Medium interval distance, latitude and longitude or regional index)
Each pollutant
Generalized additive model (GAM)
Smooth function for fitting separation distance and region variation.
The interception of the pollutant model shows the overall ranking of the displayto-
The average monitoring correlation is: 03, 02 and PM10 ,(r∼0. 6 to 0. 8)>CO (rSO2 (r