The present work is focused on the dispersion of a thermal effluent, produced by the Sines power plant, Portugal, along coastal waters. This facility intakes a yearly average around 40 m 3 /s of seawater, for the required cooling process, which is subsequently discharged back to the ocean at a 10 ºC increase in temperature. A three-dimensional hydrodynamic local model was nested into a regional model and set up to simulate the transport of the thermal effluent during two distinct periods, August and October 2013, respectively featuring dominant north and south wind. The simulations were performed for both situations, with and without the thermal discharge, where the later provides baseline scenarios. Obtained model results closely followed the existing field data. The temperature increase is shown to decay from 10 ºC near the outlet vicinity to 2 ºC at a distance of 2 km from the outlet for both scenarios. Even though the main driving force of this phenomenon is the wind, tidal conditions also have additional influence on thermal plume dispersion near the discharge area. In the north wind scenario the plume extends away from the coast while under south wind dominance the plume is contained near the coast, extending towards the inlet. As a consequence there is a positive feedback under south wind dominance, which is caused by the intake of already warm water from the thermal plume itself. Consequently, south wind dominance is the most unfavorable scenario for both coastal environment and the operational efficiency of the power plant. RESUMOModelação de um efluente térmico numa zona costeira (central termoelétrica de Sines, Portugal) Este artigo tem como objetivo estudar a dispersão do efluente térmico da central termoelétrica de Sines (Portugal) na zona costeira. Esta central retira em média 40 m 3 /s de água do oceano Atlântico que após o processo de refrigeração é restituída à fonte através de dois canais, com uma temperatura de 10º C acima daquela que tinha na zona de captação. De modo a estudar o transporte deste efluente térmico foi implementado um modelo hidrodinâmico tridimensional acoplado a um modelo regional. Foram simulados e analisados dois cenários de ventos diferentes, vento predominante do quadrante norte e vento predominante do quadrante sul. Para cada tipo de vento são comparados os resultados para a situação com e sem descarga. Os resultados obtidos com o modelo evidenciam a anomalia térmica, observável nos dados de campo, mostrando um aumento variável entre 10º C, na região próxima à descarga, até 2º C a cerca de 2 km da mesma área, para ambos cenários. Contudo, enquanto que no cenário de vento norte se observa uma pluma térmica estreita, ao longo da costa, no caso do vento sul observa-se uma pluma mais confinada à região da saída do efluente. O vento sul é o cenário mais desfavorável à eficiência da This article contains supporting information online at http://www.aprh.pt/rgci/pdf/rgci-577_Salgueiro_Supporting-Information.pdf central uma vez que nesta situação a pluma é direcionada para zona de...

Funding Acknowledgements Type of funding sources: None. Background Cardiac rehabilitation (CR) is a multidisciplinary intervention designed to reduce cardiovascular (CV) risk, encourage healthy behaviors, reduce physical impairment, and promote an active lifestyle. After completing a phase II CR program, it is important to maintain long-term CV risk factor control. However, many patients do not achieve or maintain lifestyle and risk factor targets on a long-term basis. Therefore, it is of interest to understand which risk factors are not reaching the targets to better understand and personalize long-term community-based CR programs. Purpose To characterize the modifiable CV risk factors profile in coronary artery disease (CAD) patients admitted to a community-based phase III CR program, including lipid profile, overweight/obesity, physical activity (PA) and sedentary behaviour (SB), at the beginning and after completing the first year of the CR program. Methods This retrospective cohort study included CAD patients that attended for 1-year a community-based phase III CR program. At the beginning (M0) and after one year (M1) of the CR program, all patients performed a risk profile assessment including: Lipid profile [total cholesterol (total-c), high density lipoprotein cholesterol (HDL), low-density lipoprotein cholesterol (LDL)], body mass index (BMI), PA and SB. BMI was assessed with the patient's weight in kilograms divided by the square of height in meters and lipid profile values were obtained from blood testing. PA and SB were objectively measured by using an accelerometer. All participants attended supervised exercise sessions, 3x week, 60 mins, including aerobic and resistance exercises, 3 educational sessions and a nutritional counseling consultation per year. Results In the sample of 159 patients at baseline (81.8% male, mean age 61±10 years, BMI: 28.3±4.3 kg/m²), overweight and obesity proved to be the most prevalent risk factor (80.7%), followed by uncontrolled LDL levels (74.8%). After a 1-year intervention (n=48, 90% male, mean age 62±10 years), LDL levels were kept above the targets (M0: 73.3±28.9 mg/dL and M1: 68.6±19.6 mg/dL, p=0.186), BMI did not change (M0: 27.5±3.9 kg/m² and M1: 27.8±4.0 kg/m², p=0.168) and SB remained high (M0: 11.50±2.90 hours/day and M1: 11.58 ± 2.71 hours/day, p=0.908). Although, moderate to vigorous PA (MVPA) decreased (M0: 343±195 mins/week and M1: 293±164 mins/week, p<0.001), participants were still on target, between 150 to 300 mins MVPA week. Conclusion Our findings show that after a 1-year of a phase III CR program intervention CVD patients maintained MVPA recommended levels, but did not reach body composition, lipid profile, and SB targets. Future strategies should be implemented in long-term CR programs to better control LDL, body composition and SB.