Issue 1 [March] ( Issue on Air Pollution - Selected papers from the 11th International Conference on Environmental Science and Technology - CEST2009, 3 - 5 September 2009, Chania, Crete, Greece
)
Abstract The new Air Quality Directive (2008/50/EC) encourages the introduction of modelling as a
necessary tool for air quality assessment and management. Towards this aim, a new Air
Quality Management System (AQMS) has been developed and installed in the Department of
Labour Inspection of the Republic of Cyprus.
The core of the system handles the compilation of an emissions inventory that includes data
from all major activity sectors and functions on the basis of a continuous update of the
emissions database. Emission data are then fed into an advanced air quality modelling
system that simulates concentration fields for all the major air pollutants over the island of
Cyprus. The AQMS comprises of two operational modules, providing hourly nowcasting and
daily forecasting of the air quality status, implemented as an integrated model system that
performs nested grid meteorological and photochemical simulations. Hourly air quality data
from nine measuring stations are continuously assimilated into these model calculations. A
third operational module provides the capability of an interactive configuration of custom
emission scenarios and corresponding model runs covering user-defined domains of interest.
The system provides an advanced user interface, which is realised as a web-based
application providing access to model results from any computer with an internet connection
and a web browser.
Abstract In this paper, a detailed spatial allocated emissions inventory for Cyprus is presented. Topdown
and bottom-up methodologies are implemented and emissions are estimated from all
anthropogenic sources for the reference year 2002 with the aid of state-of-the-art algorithms.
Emission factors representative for the situation in Cyprus, in the case of major industrial
units, and default emission factors for the rest emission sources are adopted. Main results
indicate that power generation and road transport are the major contributors to total
emissions. Power generation share was 36% in total CO2, 62% in total SΟ2, 20% in total NOx
and 55% in total Ν2Ο emissions, while the share of road transport was 29% in CO2, 22% in
SΟ2, 35% in NOx and 6% in Ν2Ο emissions. Furthermore, comparisons to other existing
emission inventories for Cyprus and official national emission data are presented and
differences are partially explained.
A GIS-based approach is applied to generate, organize and spatially allocate emissions data
in a 5x5 km² grid. GIS-aided spatial overlay techniques are used and maps of spatial
allocation factors and gridded emissions data are produced and presented, showing that
highest emission densities appear in cells, which include large industrial plants and/or cover
urban areas.
Abstract Landfilling is one of the most common ways of municipal solid waste (MSW) disposal in
developing countries. Air pollutants emitted from landfills contributes to the emission in the
atmosphere of greenhouse gases and cause serious problems to the human health. Methane
emission from landfill is serious environmental global concern as it accounts for approximately
15 percentages of current greenhouse gas emissions. The current study was focused on the
determination of air emissions from the Akrotiri landfill site which is located at the Akrotiri area
(Chania, Greece). The models used are the triangular model, the stoichiometric model and
LandGEM model. These models are used to estimate the total landfill gas production from a
given amount of waste. The models differ on their scientific approach for the quantification on
emissions, their complexity and input data requirements. The LandGEM model was selected
for the determination of more representative assessed landfill gas emission rates. The
maximum biogas production rate by the LandGEM model was calculated to be 1.64× 103 Mg
yr-1 and was observed during the year 2008 for the A phase of the landfill, while for the B
phase the maximum biogas production rate was 2.70 × 103 Mg yr-1 and was observed during
2014.
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