The Competent Authorities have and are undertaking significant dust monitoring
and management efforts as well as several projects to support air quality
management and data collection. Due to the large spatial and temporal
variability of measured PM10 concentrations, as well as potentially significant
PM inputs from transboundary movements, however, added efforts as well as
innovative data collection and modelling tools are required in order to
facilitate the preparation of effective and efficient dust management plans.
The project's overall objective is to support the Competent Authorities in
preparing cost effective and efficient particulate matter management. For this
purpose, state of the art now casting, forecasting and scenario analysis
software will be applied. New and innovative data collection and processing
methods as well as a robust stakeholder participation process will be
introduced in order to support the application of the models.
The present data
collection activities will be supported through the project by remote sensing
techniques. These will be developed, calibrated and applied and will provide
data for a potentially much denser grid than possible with ground stations.
Further, this method can produce data at various elevations thus greatly
enhancing source apportionment and air quality modelling.
Source identification will be achieved through oryctological analysis and
backtracking techniques. The current monitoring network supported with the
additional data prpoduced through remote sensing methods will be able to
provide the necessary information in order to derive accurate and verified
results on PM10 source apportionment, which constitutes one of the main
objectives of the project.
Transboundary input of particulates further complicates the issue of source
apportionment as well as preparing effective dust management plans. Therefore
regional modelling will be implemented through the project in order to quantify
Based on the produced derived information, various management scenarios will be
defined, and the analysis models will subsequently be defined which will
incorporate the necessary technical and regulatory information but which will
also incorporate socioeconomic factors into the decision making process.
The scenario development and analysis activities will utilise the existing
modelling capacities of the Department of Labour Inspection, while additional
road canyon PM modelling capacities will be introduced and applied.
In order to facilitate the incorporation of socioeconomic factors, a robust
stakeholder participation process will be implemented aiming to define economic
and social goals and constraints.
In summary the project's general goals are to facilitate effective and
efficient dust management improve the monitoring and source apportionment
capacities, to provide reliable estimates of transboundary contribution to
measured concentrations as well as to prepare a source specific dust management
plan. Although the main objectives of the project is to prepare a
Dust Management Plan, the project goes well beyond this task
and the requirements of Directive 2008/50/EC.