This paper illustrates the use of statistical techniques to standardize ground based
measurements of particulate matter (PM10). Concentrations are interpolated over Western …

Abstract Analysis of environmental quality data for decision making purposes (evaluation of
compliance with standards, examination of environmental trends, determination of …

Studying the effects of air-pollution on health is a key area in environmental epidemiology.
An accurate estimation of air-pollution effects requires spatio-temporally resolved datasets of …

Haze has been a focused air pollution phenomenon in China, and its characterization is
highly desired. Aerosol properties obtained from a single station are frequently used to …

Time-resolved data is needed for public notification of unhealthful air quality and to develop
an understanding of atmospheric chemistry, including insights important to control …

The prime focus of this work is the comparative investigation, theoretical and numerical, of
spatiotemporal techniques used in air pollution studies. Space‐time statistics techniques are …

Four years of time-series data on the particulate matter (PM) concentrations from 801
monitoring stations located in Europe and 234 stations in North America were analyzed …

Airborne particulates play a central role in both the earth's radiation balance and as a trigger
for a wide range of health impacts. Air quality monitors are placed in networks across many …

Abstract The fifth-generation Pennsylvania State University–National Center for Atmospheric
Research Mesoscale Model (MM5) is currently the meteorological model most widely used …

Continuous coarse particulate matter (CPM, PM 10− 2.5) concentrations were measured
hourly at three different sites in the Los Angeles area from April 2008 through May 2009 as …