Spatial typologies of Greek coastal zones and unregulated Urban growth

Coastal zones attract a large number of people and productive activities. This puts pressure on ecosystems and affects the organization of local economies, having an impact on social cohesion and coherence. The complexity of coastal socio-spatial systems and the fact that coastal zones, and, more particularly, islands that are considered vulnerable areas (that is, parameters: such as sea level rising, desertification, built-up areas excessive expansion etc) and important for the overall operation of the state imply the significance of a further study of the subject. The paper deals with the principal socio-spatial pressures on coastal zones and islands that are caused by unregulated urban growth. The incompetent spatial planning framework, the “loose” political system, related to urban growth, and the socio-economical characteristics are considered as the principal reasons for built-up areas excessive dispersion. Here, delineation of the coastal zone is proposed, using physico-geographical and man-made variables. Soil Sealing dataset is used to illustrate where built-up areas dispersion and basic metrics can be applied. Furthermore, an overview of the planning spatial framework is attempted, so that the particularities of urban growth can be interpreted.     

Revisiting the elemental composition and the calorific value of the organic fraction of municipal solid wastes

In this work, the elemental content (C, N, H, S, O), the organic matter content and the calorific value of various organic components that are commonly found in the municipal solid waste stream were measured. The objective of this work was to develop an empirical equation to describe the calorific value of the organic fraction of municipal solid waste as a function of its elemental composition. The MSW components were grouped into paper wastes, food wastes, yard wastes and plastics. Sample sizes ranged from 0.2 to 0.5 kg. In addition to the above individual components, commingled municipal solid wastes were sampled from a bio-drying facility located in Crete (sample sizes ranged from 8 to 15 kg) and were analyzed for the same parameters. Based on the results of this work, an improved empirical model was developed that revealed that carbon, hydrogen and oxygen were the only statistically significant predictors of calorific value. Total organic carbon was statistically similar to total carbon for most materials in this work. The carbon to organic matter ratio of 26 municipal solid waste substrates and of 18 organic composts varied from 0.40 to 0.99. An approximate chemical empirical formula calculated for the organic fraction of commingled municipal solid wastes was C₃₂NH₅₅O₁₆.     

Neural network and multiple regression models for PM10 prediction in Athens: a comparative assessment

Particulate atmospheric pollution in urban areas is considered to have significant impact on human health. Therefore, the ability to make accurate predictions of particulate ambient concentrations is important to improve public awareness and air quality management. This study examines the possibility of using neural network methods as tools for daily average particulate matter with aerodynamic diameter <10 microm (PM10) concentration forecasting, providing an alternative to statistical models widely used up to this day. Based on a data inventory, in a fixed central site in Athens, Greece, ranging over a two-year period, and using mainly meteorological variables as inputs, neural network models and multiple linear regression models were developed and evaluated. Comparison statistics used indicate that the neural network approach has an edge over regression models, expressed both in terms of prediction error (root mean square error values lower by 8.2-9.4%) and of episodic prediction ability (false alarm rate values lower by 7-13%). The results demonstrate that artificial neural networks (ANNs), if properly trained and formed, can provide adequate solutions to particulate pollution prognostic demands.     

Quantification of Water, Salt and Nutrient Exchange Processes at the Mouth of A mediterranean Coastal Lagoon

Vassova lagoon is a typical Mediterranean (small, shallow, micro-tidal, well-mixed) coastal lagoon, receiving limited seasonal freshwater inflows from direct precipitation and underground seepage. An intensive study was carried out in order to quantify the mechanisms responsible for the intra-tidal and residual transport of water, salt, nutrients and chlorophyll at the mouth of this lagoon and to assess the lagoon's flushing behavior. Results indicated that although the system is micro-tidal, tidal effects appeared to be the dominant factor for the longitudinal distribution of physical and chemical parameters, while the associated residual flow is also important and serves as a baseline measure of overall circulation. However, analysis of the net longitudinal currents and fluxes of water, salt and nutrients revealed the importance of non-tidal effects (wind effect and precipitation incidents) in the mean tidal transport. It is shown that the Eulerian residual currents transported water and its properties inwards under southern winds, while a seaward transport was induced during precipitation incidents and northern winds. The Stokes drift effect was found an order of magnitude lower than the Eulerian current, directed towards the lagoon, proving the partially-progressive nature of the tide. Nutrients and chlorophyll-α loads are exported from the lagoon to the open sea during the ebb phase of the autumn and winter tidal cycles, associated with the inflow of nutrient-rich freshwater, seeped through the surrounding drainage canal. The reverse transport occurs in spring and early summer, when nutrients enter the lagoon during the flood tidal phase, from the nutrient-rich upper layer of the stratified adjacent sea. Application of a tidal prism model shows that Vassova lagoon has a mean flushing time of 7.5 days, ranging between 4 to 18 days, affected inversely by the tidal oscillation.     

The Narrative Cycle of Climate Change in the Greek Newspapers, 2001–2008

This paper aims to establish whether the longitudinal framing of climate change (CC) in Greek newspapers exhibits the characteristics of a “narrative cycle,” with different themes becoming prominent at different periods in accordance with the media’s narrative considerations. In order to test this assumption, we formulate a number of hypotheses which we test with data originating from three Greek newspapers over the period 2001–2008. We find that the scientific and ecological/meteorological themes of CC are more often mentioned during the initial phase of media coverage, arguably due to media’s attempt to open the narrative and capture the public’s attention. Public protests and debate feature more prominently during the peaked phase of coverage, in accordance with the narrative need for a climax, while the later period of coverage, when some kind of resolution to the story should be offered, is characterized by the prominence of policy-making and economy-related issues.     

Enhancement of gasworks groundwater remediation by coupling a bio-electrochemical and activated carbon system

Environmental Science and Pollution Research - Here, we show the electrical response, bacterial community, and remediation of hydrocarbon-contaminated groundwater from a gasworks site using a...