Exploring hydrocarbonoclastic bacterial communities in the estuarine surface microlayer

Bacteria that degrade polycyclic aromatic hydrocarbons (PAHs) in the estuarine surface microlayer (SML) of the Ria de Aveiro, Portugal—which is chronically polluted with oil hydrocarbons (OH)—were isolated and characterized; Pseudomonas was dominant among the PAH-degrading bacteria. Screening for PAH dioxygenase genes detected almost identical nahAc genes (encoding the alpha subunits of naphthalene dioxygenase) in 2 phylogenetically distinct isolates: Pseudomonas sp. and an unknown species of the family Enterobacteriaceae; this suggested that horizontal transfer of nah genes might be involved in PAH degradation in the SML. We also investigated the effect of PAH contamination on the spatial variability of the bacterioneuston along a gradient of pollution in the estuarine system of the Ria de Aveiro. Culture-independent techniques—fluorescence in situ hy - bridization (FISH) and denaturing-gradient gel electrophoresis (DGGE)—revealed a similar structure among the bacterioneuston communities along the estuary. In contrast, we detected differences in the relative abundance and diversity of organisms of the Gammaproteobacteria, including those of the genus Pseudomonas (which belongs to the Gammaproteobacteria). This is the first insight into the hydrocarbonoclastic bacterial communities in the SML of an estuarine area polluted with hydrocarbons. Our findings highlight the importance of SML-adapted hydrocarbonoclastic bacterioneuston as a potential source of new PAH-degrading bacteria (including new pseudomonads) with potential use in the bioremediation of hydrocarbon-polluted ecosystems.

Energy systems analysis of transboundary river basins in a nexus approach: the Sava river basin study case

Resource management policies are frequently designed and planned to target specific needs of particular sectors, without taking into account the interests of other sectors who share the same resources. In a climate of resource depletion, population growth, increase in energy demand and climate change awareness, it is of great importance to promote the assessment of intersectoral linkages and, by doing so, understand their effects and implications. This need is further augmented when common use of resources might not be solely relevant at national level, but also when the distribution of resources ranges over different nations. This dissertation focuses on the study of the energy systems of five south eastern European countries, which share the Sava River Basin, using a water-food(agriculture)-energy nexus approach. In the case of the electricity generation sector, the use of water is essential for the integrity of the energy systems, as the electricity production in the riparian countries relies on two major technologies dependent on water resources: hydro and thermal power plants. For example, in 2012, an average of 37% of the electricity production in the SRB countries was generated by hydropower and 61% in thermal power plants. Focusing on the SRB, in terms of existing installed capacities, the basin accommodates close to a tenth of all hydropower capacity while providing water for cooling to 42% of the net capacity of thermal power currently in operation in the basin. This energy-oriented nexus study explores the dependency on the basin’s water resources of the energy systems in the region for the period between 2015 and 2030. To do so, a multi-country electricity model was developed to provide a quantification ground to the analysis, using the open-source software modelling tool OSeMOSYS. Three main areas are subject to analysis: first, the impact of energy efficiency and renewable energy strategies in the electricity generation mix; secondly, the potential impacts of climate change under a moderate climate change projection scenario; and finally, deriving from the latter point, the cumulative impact of an increase in water demand in the agriculture sector, for irrigation. Additionally, electricity trade dynamics are compared across the different scenarios under scrutiny, as an effort to investigate the implications of the aforementioned factors in the electricity markets in the region.

Fault tolerance logging-based model for deterministic systems

Fault tolerance allows a system to remain operational to some degree when some of its components fail. One of the most common fault tolerance mechanisms consists on logging the system state periodically, and recovering the system to a consistent state in the event of a failure. This paper describes a general fault tolerance logging-based mechanism, which can be layered over deterministic systems. Our proposal describes how a logging mechanism can recover the underlying system to a consistent state, even if an action or set of actions were interrupted mid-way, due to a server crash. We also propose different methods of storing the logging information, and describe how to deploy a fault tolerant master-slave cluster for information replication. We adapt our model to a previously proposed framework, which provided common relational features, like transactions with atomic, consistent, isolated and durable properties, to NoSQL database management systems.