Abstract The geotechnical monitoring of tailings dams combined with a suitable application of geophysical electrical methods can improve their structure evaluation, allowing several correlations between direct analyses and the resistivity anomaly pattern. Considering this synergy, twenty-three electrical resistivity sections (ERT) were acquired along the beach, abutments, and central part of a dam, totalizing 10,776 m of dataset. After the interpretation of each ERT section, comparing the anomaly ranges with the water level meters measurements, three resistivity zones were defined: Zones of low resistivity (<64 ohm-m), correlated to regions of high humidity; zones of high resistivity (> 357 ohm-m), interpreted as dry zones, and regions with intermediate resistivity values, located between these limits. The groundwater surface generated from the interpretation of the electrical resistivity dataset and the groundwater surface acquired from the water level gauges were almost coincident. On the right abutment, the conductive anomalies showed remarkable continuity, suggesting a high moisture content in this region with strong gradients (200 mV) directed towards the zone of low resistivity values identified in the sections. The analysis showed a robust correlation of the ERT data with localized physical geotechnical measurements, valuable for monitoring dam integrity, overseeing the structure's response to climate and operational changes, and ultimately mitigating the risks of failure. The results of this study support the adoption of a seasonal 4D electrical resistivity survey as an effective tool to monitor and manage surface and high humidity zones, key indicators of dam integrity throughout the entire structure. evaluation pattern synergy twentythree twenty (ERT beach abutments 10776 10 776 10,77 section measurements defined <64 64 (<6 ohmm, ohmm ohm , ohm-m) > ( 35 limits coincident abutment continuity 200 (20 mV structures s changes failure D 1077 1 77 10,7 <6 6 (< ohm-m 3 20 (2 107 7 10, < 2

Objective to analyze the epidemiological profile and the temporal trend of serious occupational accidents in Sergipe, in the period from 2009 to 2015. Method ecological, descriptive, time-series study, based on secondary data reported on the Information System for Disease Notification. Results there were 1,271 reports of serious occupational accidents with workers aged between 16 and 65 years; the years 2011 (19.5%) and 2009 (15.6%) presented the highest number of records; 2011 (23.6%) and 2010 (19.9%) had the highest incidence; 2014 and 2015 recorded the lowest rates. Profile of injured workers: males (88.8%), between 25 and 29 years (17.1%), pardos (61.5%), incomplete education from 5 th to 8 th grade (20.2%). Conclusion the analysis of the epidemiological profile and the temporal trend of serious occupational accidents in the state of Sergipe showed decreasing trend in the analyzed period, although the number of accidents recorded was high.

Objetivo analizar el perfil epidemiológico y la tendencia temporal de los accidentes de trabajo graves en el estado de Sergipe, en el período comprendido entre 2009 y 2015. Método estudio ecológico, descriptivo, de series de tiempo, basado en datos secundarios reportados en el Sistema de Información de Agravios de Notificación. Resultados se reportaron 1.271 accidentes de trabajo graves con los trabajadores con edad entre 16 y 65 años; los años 2011 (19,5%) y 2009 (15,6%) fueron el mayor número de registros; 2011 (23,6%) y 2010 (19,9%) tuvieron una mayor incidencia; 2014 y 2015 registraron las tasas más bajas. El perfil de los trabajadores lesionados: varones (88,8%), entre 25 y 29 años (17,1%), pardos (61,5%), enseñanza incompleta del 5º a 8º grado (20,2%). Conclusión el análisis del perfil epidemiológico y la tendencia temporal de accidentes de trabajo graves en el estado de Sergipe mostró una tendencia decreciente en el período analizado, aunque el número de accidentes registrados fue elevado.

Objetivo analisar o perfil epidemiológico e a tendência temporal dos acidentes graves de trabalho no estado de Sergipe, no período de 2009 a 2015. Método estudo ecológico, descritivo, de série temporal, com base em dados secundários informados no Sistema de Informação de Agravos de Notificação. Resultados foram notificados 1.271 acidentes graves de trabalho com trabalhadores entre 16 e 65 anos de idade; os anos de 2011 (19,5%) e 2009 (15,6%) foram os de maior número de registros; 2011 (23,6%) e 2010 (19.9%) apresentaram maior incidência; 2014 e 2015 registraram as menores taxas. Perfil dos trabalhadores acidentados: sexo masculino (88,8%), entre 25 e 29 anos (17,1%), pardos (61,5%), ensino incompleto da 5ª a 8ª série (20,2%). Conclusão a análise do perfil epidemiológico e a tendência temporal dos acidentes graves de trabalho no estado de Sergipe revelou tendência geral decrescente no período analisado, ainda que fosse elevado o número de acidentes registrados.

O objetivo da investigação foi analisar vazões extremas ocorridas entre 9 e 14 de abril de 2011 na bacia do Rio Araguari-AP. A metodologia consistiu de três etapas principais: 1) re-análise da precipitação estimada pelo Modelo BRAMS (Brazilian in Development Regional Atmospheric Model System),utilizando como suporte a sinótica do mesmo período; 2) análise de vazão nas seções de monitoramento hidrológico em Porto Platon, Capivara e Serra do Navio (ADCP-Accustic Doppler Profiller Current); 3) análise estatística da série histórica de vazões máximas em Porto Platon utilizando distribuição de Gumbel. Observou-se que o modelo BRAMS capturou parcialmente o padrão do sistema de precipitação quando comparado com a análise sinótica e com os dados da literatura, mas demandando ainda otimização na representação de respostas hidrológicas extremas. Em Porto Platon foi registrada uma vazão recorde de 4036 m3/s, cujo comportamento foi analisado sob a ótica dos mecanismos disponíveis de monitoramento no Estado. Concluiu-se que tais eventos extremos são pouco detectáveis e oferecem riscos consideráveis aos usuários da bacia. A previsão de vazão, baseada na série hidrológica disponível, era de 100 anos de retorno, mas as análises revelaram que este período seria de 360 anos, indicando significativa fragilidade do sistema de previsão de eventos extremos no Estado.

The objective of this investigation was to analyse the extreme river flows which have occurred between 9 and 14 April 2011 in the Rio Araguari-AP. The methodology consisted of three main steps: 1) re-analysis of precipitation estimated by the BRAMS (Brazilian Development in Regional Atmospheric Model System) model using the synoptic of the same period as support, 2) analysis of streamflow in sections of hydrological monitoring in Porto Platon, Capivari and Serra do Navio (ADCP-Accustic Profiller Doppler Current); 3) statistic analysis of the time series of maximum river flows in Porto Platon using Gumbel distribution. It was observed that the BRAMS system partially captured the standard precipitation when compared with the synoptic analysis and literature data, but the extreme hydrological responses representation still needs an optimization. In Porto Platon a flow record of 4036 m3 /s was recorded, whose behavior was analyzed from the perspective of the available monitoring mechanisms in the State. It was concluded that such extreme events are poorly detectable and offer considerable risks to users of the basin. The stream flow prediction based on available hydrological series was 100 years recurrence, but the analysis have revealed that this period would be 360 years, indicating significant deficiency of the prediction system of extreme events in the State.

During the various hydrological periods in 2011, we studied the phytoplankton along an 87-km stretch of the Araguari and Falsino rivers, which are located in the eastern Brazilian Amazon, in the state of Amapá, Brazil, the most ecologically preserved state in the country. In the study area, the aquatic ecosystem is under pressure from human activities such as, mining, hydroelectric power generation and urbanization, which contrast with the surrounding areas that are designated for biodiversity conservation. The aim of this study was to characterize the composition, frequency and richness of algae species and also to identify spatial-temporal patterns of taxa distribution. During the study period, we identified 185 taxa (136 species in 49 genera). The division Chlorophyta (class: Zygnematophyceae) presented the greatest number of taxa, whereas the division Rhodophyta accounted for only 1% of the taxa recorded. Most of the species identified (69%) were classified as sporadic in occurrence. The few taxa that were classified as common belonged mainly to the group Bacillariophyta. Species richness was greatest richness in the lentic stretches (in a reservoir) and in November (during the dry season). Of the 185 taxa identified, 174 are new records for the state of Amapá.