Environmental Engineering Reference
In-Depth Information
5.8 Planning of Experimental Campaigns to Estimate
Atmospheric Particles Emission from Diffuse Sources
Using an Inverse Modelling Technique
B. Aceña
1
, F. Martín
1
, E. Monfort
2
, and I. Ceslades
2
1
Atmospheric Pollution Unit. CIEMAT. Avda. Complutense, 22. 28040 Madrid, Spain
2
Instituto de Tegnología Cerámica-AICE. Universitat Jaume I. Castellón. Spain
Abstract
This contribution describes a method for determining particles emissions
in industrial environments caused by the dusty nature of the raw materials used in
the industrial manufacture.
The methodology used to estimate PM
10
and PM
2.5
emission rates is based on
an inverse modelling technique, which uses a Lagrangian Puff model. In this study
we propose a methodology and describe the strategies adopted to carry out three
experimental campaigns to estimate PM10 and PM2.5 emissions from diffuse
sources produced during the activities of cement manufacture, steel and ceramic.
1. Introduction
The idea of this methodology is basically to use the measured concentrations of
the pollutant (PM10 and PM2.5) downwind and close to the emission area and a
dispersion model fed with meteorological data, to determine which emission data,
used in the dispersion model, provide modelled concentrations that best fit the
observations.
Since the amount of particles emitted depends on a variety of technological factors
(nature of the material, particle size, moisture content, sequence of operations,
type of machinery used, etc.), meteorological factors (wind speed and direction,
precipitation, atmospheric stability) and location of the activities in the corresponding
industry, the correct application of the proposed methodology (optimization) needs a
suitable planning of the measurement campaign (time of the year to carry out the
intensive campaign, number and sampling locations, etc.) for every industrial site
considered.
