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One of the most important current issues in the management of lakes and reservoirs is the prediction of global climate change effects to determine appropriate mitigation and adaptation actions. In this paper we analyse whether management actions can limit the effects of climate change on water temperatures in a reservoir. For this, we used the model EOLE to simulate the hydrodynamic and thermal behaviour of the reservoir of Bimont (Provence region, France) in the medium term (2036-2065) and in the long term (2066-2095) using regionalised projections by the model CNRM-CERFACS-CNRM-CM5 under the emission scenarios RCP 4.5 and RCP 8.5. Water temperature projections were compared to simulations for the reference period 1993-2013, the longest period for which we had year-long data for both hydrology and meteorology. We calibrated the model using profile measurements for the period 2010-2011 and we carried an extensive validation and assessment of model performance. In fact, we validated the model using profile measurements for 2012-2014, obtaining a root mean square error of 1.08°C and mean bias of -0.11°C, and we assured the consistency of model simulations in the long term by comparing simulated surface temperature to satellite measurements for 1999-2013. We assessed the effect using synthetic input data instead of measured input data by comparing simulations made using both kinds of data for the reference period. Using synthetic data resulted in slightly lower (-0.3°C) average and maximum epilimnion temperatures, a somewhat deeper thermocline, and slightly higher evaporation (+7%). To investigate the effect of different management strategies, we considered three management scenarios: i) bottom outlet and present water level; ii) bottom outlet and elevated water level; and iii) surface outlet and elevated water level. According to the simulations, the reservoir of Bimont will have a low rate of warming of the epilimnion of 0.009-0.024 °C·yr-1, but a rapid hypolimnion warming of 0.013-0.028°C·yr-1. The increase in surface temperatures will augment evaporation. However, the length of the stratification period and the thermocline depth are not expected to change. Elevating the water level and using a surface outlet in the reservoir of Bimont, would result in reductions of surface temperature of a similar magnitude as the expected increase because of climate change.

This article describes some of the contributions of limnology to reservoir management according to a literature review and the authors’ experience. After explaining the main challenges that reservoir managers have to face, some examples of management measures are given and the need to take into account the different management scales are underlined, whether temporal (multiannual, annual, daily) or spatial (catchment, river reach, reservoir or reservoir chain). The available methods for the study of reservoir ecological status are also reviewed.

Intraosseous arteriovenous malformations (AVMs) in the head and neck region are uncommon. There are several types and they can have a wide range of clinical presentations. Depending on the blood flow through the AVM, the treatment may be challenging for the attending team and may lead to life-threatening hemorrhages. A clinical case report is presented. A 9-year-old girl, seen for gingival bleeding during oral hygiene, was found to have a high-flow AVM located within and around the mandible. Two-stage treatment consisted of intra-arterial embolization followed by intraoral injection of a sclerosing agent 8 weeks later. At the 8-year follow-up, imaging study showed no evidence of recurrent lesion inside or outside the bone. The final outcome is a correct occlusion with a symmetric facial result. This case shows that conservative treatment may be the first treatment option mostly in children. Arteriography and transcortical injection were enough to control the AVM.

An application of Genetic Programming (an evolutionary computational tool) without and with standardization data is presented with the aim of modeling the behavior of the water temperature in a river in terms of meteorological variables that are easily measured, to explore their explanatory power and to emphasize the utility of the standardization of variables in order to reduce the effect of those with large variance. Recorded data corresponding to the water temperature behavior at the Ebro River, Spain, are used as analysis case, showing a performance improvement on the developed model when data are standardized. This improvement is reflected in a reduction of the mean square error. Finally, the models obtained in this document were applied to estimate the water temperature in 2004, in order to provide evidence about their applicability to forecasting purposes.