Model-driven development of covariances for spatiotemporal environmental health assessment

Known conceptual and technical limitations of mainstream environmental health data analysis have directed research to new avenues. The goal is to deal more efficiently with the inherent uncertainty and composite space-time heterogeneity of key attributes, account for multi-sourced knowledge bases (health models, survey data, empirical relationships etc.), and generate more accurate predictions across space-time. Based on a versatile, knowledge synthesis methodological framework, we introduce new space-time covariance functions built by integrating epidemic propagation models and we apply them in the analysis of existing flu datasets. Within the knowledge synthesis framework, the Bayesian maximum entropy theory is our method of choice for the spatiotemporal prediction of the ratio of new infectives (RNI) for a case study of flu in France. The space-time analysis is based on observations during a period of 15 weeks in 1998–1999. We present general features of the proposed covariance functions, and use these functions to explore the composite space-time RNI dependency. We then implement the findings to generate sufficiently detailed and informative maps of the RNI patterns across space and time. The predicted distributions of RNI suggest substantive relationships in accordance with the typical physiographic and climatologic features of the country.     

MOSESS: A New Emission Model for the Compilation of Model-Ready Emission Inventories—Application in a Coal Mining Area in Northern Greece

Over the last years, the capabilities of chemical transport models have been greatly improved and the need for more accurate emission data has increased as well. In the past, a number of emission models have been developed and present different functionalities and applications. The majority of these though cover very specific needs. This paper describes the development of a new emission model namely computer model for the construction of model-ready emission inventories (MOSESS) which is used to compile high-resolution emission inventories or improve existing ones, utilizing complex GIS techniques. The model aims in helping chemical modelers to obtain a better overview of their modeling application by having a comprehensive understanding of the emission input. MOSESS incorporates more than 70 different emission calculation methodologies, and it is capable of handling external emission databases (such as EMEP and EPER) from which emissions can be extracted. The temporal variation (annual/daily and diurnal processing), chemical speciation of NMVOCs and particles, vertical distribution and point source treatment, as well as the spatial disaggregation of emissions (utilizing numerous spatial proxies including high-resolution landuses) can help create model-ready emission inventories which can be used for contemporary modeling applications.     

Improved liquid chromatographic photo diode array mass spectrometric determination of 5-hydroxymethylfurfural and related furfurals in honey

5-Hydroxymethylfurfural is found in several food commodities, including honey. Its concentration is used as one of honey's quality indicators since elevated 5-hydroxymethylfurfural levels indicate overheating and aging of the product. In this context, the European Commission and Codex Alimentarius established the maximum tolerable level for 5-hydroxymethylfurfural, for general type honeys intended for human consumption, at 40 mg kg^?1. In this study, 5-hydroxymethylfurfural, 2-furfural, and the furfuralic derivative 5-methyl-2-furfural were investigated in Greek honey samples, through a high performance liquid chromatographic photo diode array mass spectrometric method developed and validated. Sample preparation was based on a modification of the ‘Quick, Easy, Cheap, Effective, Rugged, and Safe’ procedure. The method was sensitive, exhibiting limit of detection for 5-hydroxymethylfurfural at 0.1 mg kg^?1, far below the permissible level of 40 mg kg^?1. Levels of 5-hydroxymethylfurfural in 28 honey samples varied from 0.5 to 23.5 mg kg^?1, thus, not worrying for consumers. Traces of 2-furfural were detected in limited samples.     

Effect of organic matter and moisture on the calorific value of solid wastes: An update of the Tanner diagram

Objective of the work was to experimentally determine the effect of the organic matter and moisture contents on the calorific value of organic solid wastes. Nine substrates (i.e. newsprint, biodried municipal solid wastes, municipal solid waste derived composts, wastewater sludges, and sea weed derived compost), with organic matter contents that ranged from 12% to 91% (dry weight) were used in the experiments. All substrates were dried and ground and deionized water was artificially added in order to achieve certain target moisture contents per substrate. The higher heating value (HHV) was, then, determined experimentally for each sample using a bomb calorimeter. Best reduced models were developed to describe the higher and lower heating values as a function of organic matter, ash and moisture contents. A triangular plot was constructed and the self-sustained combustion area was determined and compared to that of the Tanner diagram. Response surfaces were drawn to visually assess the effect of organic matter and moisture contents on the calorific value of the wastes.     

Antibiotic resistance patterns of Salmonella and Escherichia coli in the groundwater of Cyprus

In addition to diet-based vectors of disease, the contribution of water-borne zoonotic agents to gastrointestinal illnesses may be significant, but this has yet to be investigated for Cyprus. Our main objective was to evaluate antibiotic resistance patterns of Salmonella and Escherichia coli in groundwater samples collected at confined animal feeding operations. This is the first report on the occurrence of antibiotic-resistant Salmonella and E. coli strains in the groundwater of Cyprus. Most of Salmonella isolates belonged to the subgroup enterica, whereas none of the E. coli isolates expressed the verotoxin-encoding gene. Out of 27 isolated Salmonella strains, nearly half of them were resistant to at least one or more antibiotic, whereas the highest resistance was exhibited by sulphamethoxazole (85%), followed by streptomycin (39%), and tetracycline (31%). For the E. coli isolates, nearly a third of them showed resistance to at least one antibiotic, whereas the selection of antibiotic resistance was equal among sulphamethoxazole, tetracycline and streptomycin (20%). This study demonstrated that Salmonella and E. coli in groundwater could pose a public health risk via oral ingestion of contaminated water. Best management practices are needed for overexploited groundwater supplies of rural areas, minimizing human exposure to antibiotic-resistant pathogens.     

Assessing the alteration of physicochemical characteristics in composted organic waste in a prototype decentralized composting facility

Environmental Science and Pollution Research - This article presents the pilot experience of an integrated biowaste management system developed in Tinos island, Greece, which promoted source...     

Discussion of the paper "Cost effective policies for alternative distributions of stochastic water pollution" by Gren, Destouni and Tempone

This discussion addresses some aspects of a recent paper appearing in this journal which investigates cost effective coastal water management based on different assumptions of the probability distributions (normal and log-normal) of pollutant transport. We also suggest an alternative approach to overcome the technical problems of using the theoretical correct distribution for characterising environmental data (log-normal) within a probabilistic programming framework.     

Climate change impacts,vulnerability and adaptive capacity of the electrical energy sector in Cyprus

The purpose of this study was to investigate the climate change impacts, vulnerability and adaptive capacity of the electrical energy sector in Cyprus. Spatial vulnerability of the island was assessed using the degree-day indicator to investigate heating and cooling demands in the near future using daily temperature projections from regional climate models (RCMs). Using daily electrical energy consumption data for the present climate, an impact model linking consumption and temperature was constructed and this relationship was projected to the future climate using the data from the RCMs and assuming the same technology use. Our impact model results showed that for the period between November and April (‘cold period’), a decreasing trend in electrical energy consumption is evident due to warmer conditions in the near future, while for the period between May and October (‘warm period’), an increasing trend in electricity consumption is evident as warmer conditions dominate by 2050. Regarding the spatial vulnerability assessment, the cooling degree-day indicator testified that major increases in cooling demand, between 100 and 200 degree-days, are expected in inland and southern regions during the summer in the near future. In addition, increases of about 20–50 degree-days are anticipated during autumn. Conversely, energy demand for heating is projected to decrease during spring and winter, especially in the higher elevation parts of the island. More precisely, reductions of about 30–75 degree-days are projected during spring, while greater reductions of about 60–90 degree-days are expected during winter in heating demand, especially for in the near future. The ability of the energy sector to adapt and follow these changes was deemed to be satisfactory reducing the overall vulnerability of the sector to future climate change.     

Assessment of toxic metals in waste personal computers

Considering the enormous production of waste personal computers nowadays, it is obvious that the study of their composition is necessary in order to regulate their management and prevent any environmental contamination caused by their inappropriate disposal. This study aimed at determining the toxic metals content of motherboards (printed circuit boards), monitor glass and monitor plastic housing of two Cathode Ray Tube (CRT) monitors, three Liquid Crystal Display (LCD) monitors, one LCD touch screen monitor and six motherboards, all of which were discarded. In addition, concentrations of chromium (Cr), cadmium (Cd), lead (Pb) and mercury (Hg) were compared with the respective limits set by the RoHS 2002/95/EC Directive, that was recently renewed by the 2012/19/EU recast, in order to verify manufacturers’ compliance with the regulation. The research included disassembly, pulverization, digestion and chemical analyses of all the aforementioned devices. The toxic metals content of all samples was determined using Inductively Coupled Plasma-Mass Spectrometry (ICP-MS). The results demonstrated that concentrations of Pb in motherboards and funnel glass of devices with release dates before 2006, that is when the RoHS Directive came into force, exceeded the permissible limit. In general, except from Pb, higher metal concentrations were detected in motherboards in comparison with plastic housing and glass samples. Finally, the results of this work were encouraging, since concentrations of metals referred in the RoHS Directive were found in lower levels than the legislative limits.