Influence of Technological Process on Biodegradation of PVA/Waxy Starch Blends in an Aerobic and Anaerobic Environment

Improving biodegradability of PVA/starch blends is a reality already documented by a number of works. Admittedly, mechanical properties of products (for example, tensile strength) are somewhat worse, but suitable composition optimizing or chemical modifying of starch may eliminate the problem to a large degree. This work is an attempt to find another potential effect influencing biodegradability, that of technological procedure for producing films from these blends on an extruder. The procedure with a so-called pre-extrusion step (two-stage) and dry-blend (single-stage) produced blends of slightest differences in achieved biodegradability (virtually within limits of experimental error) in aerobic (76 vs. 79%) as well as anaerobic breakdown (48 vs. 52%). Conversely, morphological analysis exhibited superior homogeneity of films prepared by the two-stage process; their tensile strength was also higher.     

Laboratory method of analysis of swarming behaviour in macroplankton: combination of a modified flume tank and stereophotographic techniques

This paper describes a flume tank in which the various physical and behavioural conditions encountered by swarming macroplankton can be manipulated, and a mathematical stereophotographic technique, for use in the calculation of the three-dimensional co-ordinates of individual organisms within the swarms. The mathematical model incorporates the Direct-Linear Transformation equation which describes the position of the object and its image in relation to the camera-perspective centre of the photographic system. Combining this equation with a modified light-ray tracement technique to solve for the passage of light through a three-media environment, the actual three-dimensional co-ordinates of the individual organisms and subsequently their inter-individual distances, bearings and angles of elevation may be derived. The distances between adjacent animals can be measured to an accuracy of 0.24 mm (SD=0.21) using this photogrammetric technique. The design of the flume tank allows for the manipulation of water current speed and flow patterns, substrate, and light intensity. Six species of mysid and one species of euphausiid have been induced to swarm in the flume tank. The conditions required to induce swarming and schooling in the laboratory are described. The inter-individual distances, bearings and angles of elevation have been calculated for Paramesopodopsis rufa, Anisomysis mixta australis, Australerythrops paradicei (Crustacea: Mysidacea) and Nyctiphanes australis (Crustacea: Euphausiacea) using the stereophotographic technique.     

Near-term forecasts of stream temperature using deep learning and data assimilation in support of management decisions

Deep learning (DL) models are increasingly used to make accurate hindcasts of management-relevant variables, but they are less commonly used in forecasting applications. Data assimilation (DA) can be used for forecasts to leverage real-time observations, where the difference between model predictions and observations today is used to adjust the model to make better predictions tomorrow. In this use case, we developed a process-guided DL and DA approach to make 7-day probabilistic forecasts of daily maximum water temperature in the Delaware River Basin in support of water management decisions. Our modeling system produced forecasts of daily maximum water temperature with an average root mean squared error (RMSE) from 1.1 to 1.4°C for 1-day-ahead and 1.4 to 1.9°C for 7-day-ahead forecasts across all sites. The DA algorithm marginally improved forecast performance when compared with forecasts produced using the process-guided DL model alone (0%–14% lower RMSE with the DA algorithm). Across all sites and lead times, 65%–82% of observations were within 90% forecast confidence intervals, which allowed managers to anticipate probability of exceedances of ecologically relevant thresholds and aid in decisions about releasing reservoir water downstream. The flexibility of DL models shows promise for forecasting other important environmental variables and aid in decision-making.     

A Short History of Food Ethics

Moral concern with food intake is as old asmorality itself. In the course of history, however,several ways of critically examining practices of foodproduction and food intake have been developed.Whereas ancient Greek food ethics concentrated on theproblem of temperance, and ancient Jewish ethics onthe distinction between legitimate and illicit foodproducts, early Christian morality simply refused toattach any moral significance to food intake. Yet,during the middle ages food became one of theprinciple objects of monastic programs for moralexercise (askesis). During the seventeenth andeighteenth century, food ethics was transformed interms of the increasing scientific interest in foodintake, while in the nineteenth century the socialdimension of food ethics was discovered, with theresult that more and more attention was given to theproduction and distribution of food products. Becauseof the increasing distance between the production andconsumption of food products ever since, theoutstanding feature of contemporary food ethics is itreliance and dependence on labeling practices.     

Confronting environmental pressure,environmental quality and human health impact indicators of priority air emissions

This paper evaluates the ranking of 21 priority air pollutants with three indicator schemes: environmental pressure indicator (EPI), environmental quality indicator (EQI), and human health effect indicator (HEI). The EPI and EQI compare the emissions and concentrations with the target emissions and target concentrations, respectively. The HEI comprehends the steps from cause (i.e. national emissions) to effect (i.e. human health effects), and is the total human health burden, expressed in Disability Adjusted Life Years per year of exposure (DALYs year^?1). We estimated a health burden in the Netherlands of 41 × 10³ DALYs year^?1 caused by Dutch air emissions of PM10 and its precursors in the year 2003. The burden due to 17 carcinogenic substances emitted to air, was much lower (140 DALYs year^?1). In contrast, when the same substances were evaluated regarding environmental pressure and environmental quality, carbon tetrachloride (pressure) and benzo[a]pyrene (quality) were of highest importance, whereas the importance of PM10 was substantially lower. This result is remarkable, because for the majority of substances evaluated, the target concentrations and target emissions are based on preventing human health damage. The differences in relevance are explained by the different weighting of interests in the indicators. The HEI is based on concentration–response relations, whereas the EPI and EQI also depend on other, policy-based, principles and on technical feasibility. Therefore, to effectively prioritize emission reduction measures in policy-making, substances should not only be evaluated as to whether emission targets and environmental quality targets are reached, but they should be evaluated regarding their human health impact as well. In this context, the HEI is a suitable indicator to evaluate the human health impact.     

Likelihood of meeting the EU limit values for NO2 and PM10 concentrations in the Netherlands

In 2007, the European limit values for annual average nitrogen dioxide (NO₂) concentration and for daily average particulate matter (PM₁₀) concentration were exceeded along motorways and city streets in the Netherlands. While the road length along which the exceedance occurred is uncertain, model calculations show that the NO₂ concentration was likely to have been exceeded (chance >66%) along about 300 km and PM₁₀ concentration along about 75 km. In addition, the limit values were exceeded ‘about as likely as not’ (chance 33–66%) along a total of 1000 km for NO₂ and 1600 km for PM₁₀. PM₁₀ and NO₂ concentrations must be below the limit values everywhere in Europe, ultimately by 2011 and 2015, respectively. Since estimates of future local concentrations have an uncertainty of about 15–20%, no absolute statements can be made whether concentrations will be below the limit values within the specified time. Model calculations accounting for the effects of current and proposed national and European legislation, and using average meteorology for large-scale and local traffic contributions show strong decreases in likely limit value exceedances in the Netherlands. However, limit value exceedances are still possible (chance >33%) along about 350 km for PM₁₀ by 2011, and about 150 km for NO₂, by 2015. These possible exceedances depend not only on the uncertainties and on national and European policies and their effectiveness, but also on contributions by specific additional local measures. The Netherlands Government has proposed a plan, which includes local measures to meet the limit values everywhere, in time. Although not assessed here due to their specific character, such local measures could reduce exceedances. As the effects of local measures and estimates of concentrations are uncertain, continuous monitoring – possibly together with additional measures – will be needed to adhere to the limit values.     

Assessment of stream biological responses under multiple-stress conditions

Background, aim and scope  

Due to the numerous anthropogenic stress factors that affect aquatic ecosystems, a better understanding of the adverse consequences on the biological community of combined pressures is needed to attain the objectives of the European Water Framework Directive. In this study we propose an innovative approach to assess the biological impact of toxicants under field conditions on a large spatial scale.