Advanced process systems design technology for pollution prevention and waste treatment

The paper presents a generic process synthesis and optimisation tool suitable to take up applications in the design of waste treatment systems and in pollution prevention. The main component of the technology is a generalized process synthesis representation for simultaneous consideration of reaction and separation in multiphase systems that is amenable for stochastic optimisation. The flexibility of the representation allows applications to overall process synthesis problems as well as to decomposed reactor, reactive separation and mass exchange network design problems. Applications of the synthesis framework to waste water treatments processes using activated sludge and to natural gas sweetening in hybrid membrane-adsorption processes are presented. The paper highlights the use of the systematic technology in environmental systems design and shows how novel designs of improved performance as well as optimal design knowledge can be revealed using the systematic design framework. Context abstract: Environmental process systems for waste treatment and pollution prevention become increasingly complicated to design. There is a strong need for technology that provides systematic decision support to the process synthesis team in order to enable the timely selection of processes that operate close to the performance limits of the system under consideration. Conventional, optimisation-based process design technology is severely limited by the number of design decisions they can support simultaneously as well as by the increasingly complex process models required for the meaningful mathematical representation of environmental process systems. We have devised an optimisation-based process design methodology for integrated reaction and separation systems that overcomes major limitations of existing tools. This paper illustrates the use of this technology to provide systematic decision-support to the environmental process systems designer.     

Assessing non-financial reports according to the Global Reporting Initiative guidelines: evidence from Greece

In recent years a growing number of companies around the world have started reporting on issues other that those in the financial domain, in order to discharge their accountability efforts. While such non-financial accounting and reporting footprints, in terms of relevant policies and practices, are evident among all regions and such activities are becoming a universal trend, the level of uptake and diffusion varies from country to country. This paper contributes to the country-level analyses of non-financial reporting by assessing the quality and inclusiveness of triple-bottom-line reports published by companies operating in Greece. To accomplish this, a numerical scoring system was devised, based on the de facto global standard on corporate non-financial reporting, the Global Reporting Initiative guidelines. Overall findings reveal major gaps in the disclosing practices of Greek organizations and denote that there is much room for improvement in order to meet international standards and promote effective engagement with their stakeholders.     

Weed mapping in cotton using ground-based sensors and GIS

Site-specific weed management presupposes the careful monitoring and mapping of weed infestation areas. Cut-edge sensor technologies coupled with geographical information systems (GIS) provide the means for reliable decision-making concerning weed management even in sub-field level. In present research, two different spectral sensing systems were engaged in order to digitally map weed patches as grown in four different cotton fields in Central Greece. The systems used were a set of two Crop Circle multispectral sensors ACS-430 and a digital camera Nikon D300S. The spaces between cotton rows were scanned and photographed with the two systems accordingly. Raw recorded data were stored and analyzed in GIS environment producing spatially interpolated maps of red-edge normalized difference vegetation index (NDVI) and weed cover percentage values. Both mapping approaches were satisfactorily related to weed distribution as occurred in the fields; however, the photographic method tended to underestimate weed populations. Correlation of red-edge NDVI and weed cover values, at the points where photographs were taken, as revealed by Pearson’s correlation coefficient was high (r?>?0.83) and statistically significant at the 0.01 level. A first-degree linear equation adequately modeled (R²?>?0.7) the between value pair relations, strengthening the validity of the two methodologies in spatially monitoring weed patches. The methodologies and the technologies used in the study can be used for yearly mapping weed flora in cotton cultivation and potentially constitute a means of rationalizing herbicide application in terms of doses and spatio-temporal decision-making.     

Air-quality Prognosis, for the Implementation of Abatement Strategies over Large Urban Areas

State-of-the-art approaches for urban air-quality characterisation have several drawbacks due to apriori assumptions and/or due to inherent limitations of the concept utilised. For the evaluation of abatement scenarios it is either necessary to embark on extensive monitoring campaigns or to consistently apply numerical models for atmospheric dispersion. The 'ENVISOR' methodology applied here is a mixture of the two approaches. It forecasts pollutant concentrations during real episodes and assesses the impact from the construction of a new highway across a large urban domain of 100×100 km2. Data from an extensive monitoring network are used to identify real modelling periods and for validating the modelling simulations. The selected periods are aiming to the assessment of 'annual mean' or 'episodic' conditions. These periods are short-listed according to the abatement scenario under consideration. This approach yields accurate forecasts for the concentration of pollutants after extensive validation tests extended over the whole domain. It is foreseen that the impact from the highway construction will be minimal for photochemical pollution whereas, higher impact will result for inert pollutants due to additional emissions from the highway.     

Effectiveness of waste prevention program in primary students’ schools

Environmental Science and Pollution Research - Even though reducing waste is at the top of the waste hierarchy, no real decoupling between waste generation and consumption has been demonstrated....     

Environmental technology development and diffusion: panel data evidence from 56 countries

Environmental Economics and Policy Studies - This study analyzes environmental technology development and diffusion patterns in 56 countries and for the time period 2005–2014 to provide an...