The Czech legislation takes over general approaches of air quality assessment
and potential exceedences of the set limit values in the zones from the EU
directives for air quality management with the aim to reach, in the set
deadlines, air quality complying with the air pollution limit values and target
air pollution limit values. The legislation specifies that the assessment of air
pollution level is carried out by measurements in agglomerations and areas where
the level o air pollution reaches or exceeds the upper assessment threshold, and
by measurements in the areas where the level of air pollution caused by ozone
exceeds the long-term air pollution targets (during the recent 5 years); further
it is carried out by modelling or experts estimates in the areas where the level
of air pollution by a pollutant does not exceed the lower assessment threshold;
and finally by the combination of measurements and modelling in the areas where
the level of air pollution reaches or exceeds the lower assessment threshold and
simultaneously is lower than the upper assessment threshold.
Air pollution levels determination must cover the whole assessed area not only
the nearest surroundings of the monitoring station. The air quality assessment
in zones and agglomerations – particularly identifying and locating areas in
which limit values may be exceeded, based on measurements – therefore becomes a
problem of estimating the spatial distribution of air pollution extent; it
consists in how to generalise point measurements, given the particular density
and distribution of monitoring stations and an acceptable error of the estimate,
to the entire territory under review. The spatial coverage of measurements can
be increased by validation measurements. However, the ambient air quality
directive and consequently, the national legislation, do not stipulate
measurements any longer as the only tool for determining levels in a zone, and
envisages – depending on pollution levels – the use of modelling techniques and
expert estimates and their combinations. An advantage of modelling is that in
comparison with point measurements it better reflects the coverage of the area
under review; nevertheless, models are generally regarded as less accurate than
measurements. Under modelling mainly causal dispersion and transport models are
understood, including chemical transformations of the pollutants. An important
role is played also by empirical, mathematical-statistical models of the
estimate of time or spatial distribution of air pollution characteristics.
The maps of air pollution characteristics and atmospheric deposition are
constructed by integrating the GIS system, ISKO relational database of the
measured air pollution values and chemical composition of atmospheric
precipitation, and the results of modelling based on emissions, which is
possible by using the high-performance hardware and the latest software. The
important role is also played by supplementing and correcting the objective
calculations on the basis of expert estimates made by the authorised institution.
Using these methods we are able to carry out air pollution assessment in a very
good quality and to create adequate user-friendly visualizations and
presentations, both for administrative bodies and for specialists and general
public.
In addition to the results of direct measurements of air pollution
concentrations the results obtained from modelling are also used. For the
territory of the Czech Republic the Gaussian dispersion model SYMOS 97 is used
which calculates the concentrations on the basis of detailed emission
inventories and data on meteorological conditions relevant for the assessed
calendar year. The territory of the Czech Republic is divided geomorphologically
into 47 areas which have different meteorological conditions. Each of the area
is characterized by a wind rose, one of the inputs into the model. The
calculation includes the latest available information on air pollution sources
from the ISKO emission database and information on emissions from line sources.
Apart from the sources on the territory of the Czech Republic the calculation
includes also the available information on emission from sources abroad which
plays an irreplaceable role in calculating concentrations in border areas but
can be applied in the regions located further from the borders as well.
One of the important preconditions for creating fields of concentrations is a
careful selection of the measuring stations included in the assessment, from the
perspective of their use, classification and representativeness.
When preparing charts and maps of air pollution and deposition loads on the
countrys territory, geostatistical procedures and map algebra tools of the GIS
system are applied to estimate the fields of air pollution and deposition
characteristics derived from point (station) measurements.
Linear regression of the dependence of the two approaches (modelling and
measurement) is applied when assimilation of modelled and measured data, while
to create the resulting fields a modified version of IDW is applied (interpolation
by a linearly weighted combination of a set of values measured around the
interpolated point, where the weight is a function of inverse distance between
the interpolated point and the point of measurement) and interpolation method
kriging (interpolation by a linearly weighted combination of a set of values
measured around the interpolated point, where the weight is a function of a
statistic structure of the air pollution, resp. the deposition field) with the
stations weight and determination of its representative surroundings factored
in. Both of the above mentioned interpolation methods enable the performing of
an objective analysis of the field, i.e. they allow value estimation in every
point of the field. If the field is statistically homogeneous [1], the
estimation by means of the kriging method is optimal in that sense, that it is
unbiased and its mean square error is minimal. When the kriging method is
applied, the program equipment of the Geographic Information System makes it
possible to calculate errors of the estimation. Values of these errors show,
among others, the efficiency of the enhancement of the density of the monitoring
stations network and vice-versa.
The basic approach to determine the degree of representativeness is station
classification. Background stations (rural or urban background) with a high
degree of representativeness (dozens of kilometres) are stations affected only
by remote sources; to describe local conditions stations exposed to traffic and
industry (traffic and industrial) with the least area of representativeness
directly affected by local sources are taken into account.
The creation of the basic geographic and topical layers in standardised
projection (conform Gauss-Krger projection) was launched in 1994. The DMÚ 200,
DMR-2 and newly DMÚ25 digital layers are used to form the basic layers of the
GIS: orography, the most important watercourses, water areas, settlements,
administrative borders of districts, highway networks, and the vegetation cover.