Regulated Metal Levels In Particulate Matter In
The Cantabria Region (Northern Spain) Using
Multivariate Linear Regression (MLR)
Author(s)
A. Arruti, I. Fernández & A. Irabien
Abstract
The levels and chemical composition of the particulate matter (PM) are linked to
the effects of this atmospheric pollutant on human health. An assessment of the
PM levels and its constituents present in the atmosphere is an important
requirement of the air quality management and air pollution abatement. Taking
into account that (i) EC Directives allow the Regional Government to assess the
air quality by objective estimation and modelling techniques and (ii) the
experimental effort required in the analysis of heavy metals in air, the present
work aims to estimate the annual levels of the heavy metals regulated by the EC
Directives (Pb in 1999/30/EC, and As, Ni and Cd in 2004/107/EC) in PM10 by
means of multivariate linear regression (MLR). The main results show that
although important deviations are found for individual measurements, the 2008
annual average metal concentrations are well estimated by the MLR technique at
the studied areas. So, these estimations may be used by Regional Governments
for the level assessment of regulated metals when their concentrations are below
the lower assessment threshold.
Keywords: multivariate linear regression, objective estimation, particulate
matter, metal levels.
1 Introduction
The European Union (EU) Framework Directive on ambient air quality and the
daughter directives designate the use of modelling and estimation techniques for
the assessment of air quality, especially for zones where concentrations of
Keywords
multivariate linear regression, objective estimation, particulatematter, metal levels
Related Book
Other papers in this volume
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