UTILIZAÇÃO DE PREVISÕES DE PRECIPITAÇÃO DE MODELOS ATMOSFÉRICOS WRF, GFS E GEFS NA BACIA HIDROGRÁFICA DO RIO AVE (PORTUGAL) PARA GESTÃO OPERACIONAL DE UM SISTEMA DE DRENAGEM

Os sistemas de previsão e alerta utilizados na gestão de recursos hídricos e operação de sistemas de drenagem tiveram desenvolvimentos significativos nos últimos anos. Esses desenvolvimentos resultaram da disponibilidade de informações meteorológicas em tempo real, em particular de medições por sensores em satélites, medição através de radar meteorológico e de previsões de modelos atmosféricos para diferentes horizontes temporais. Todos os modelos de previsão ambiental são incertos e essa incerteza é variável no tempo e no espaço. Este trabalho tem como objetivo apresentar os resultados da avaliação da evolução do erro associado a diferentes previsões de curto prazo. A plataforma Delft-FEWS (Flood Early Warning System) foi utilizada para proceder à importação e processamento de dados de observações e previsões disponíveis para a bacia do rio Ave, localizada no norte de Portugal. Os dados meteorológicos medidos foram obtidos no Sistema Nacional de Informações de Recursos Hídricos (SNIRH), em quatro estações meteorológicas instaladas na bacia em estudo e dados de refletividade medidos pelo radar meteorológico operado pela Meteogalicia. As previsões avaliadas correspondem às precipitações simuladas por modelos atmosféricos desenvolvidos pela National Oceanic and Atmospheric Administration (NOAA) e Meteogalicia, nomeadamente os modelos Global Forecast System (GFS), Global Ensemble Forecast System (GEFS) e Weather Research and Forecasting, (WRF) operado pela Meteogalicia. A incerteza associada às precipitações previstas foi avaliada considerando horizontes de previsão de um a quatro dias. Os melhores resultados foram obtidos para o modelo WRF durante eventos de precipitação ocorridos entre janeiro de 2017 e maio de 2018 e apresentaram médias de erros relativos que variaram entre 7% (um dia de previsão) e 29% (quatro dias). O sistema implementado permite, assim, do ponto de vista operacional, antecipar com antecedência de dois dias eventos extremos. USE OF PRECIPITATION FORECASTS FROM WRF, GFS AND GEFS ATMOSPHERIC MODELS AT RIVER AVE BASIN (PORTUGAL) FOR OPERATIONAL MANAGEMENT OF A DRAINAGE SYSTEMABSTRACTThe forecasting and warning systems used in water resources management and drainage systems operation have had significant developments in recent years. These developments resulted from the availability of meteorological information in real time, in particular from measurements by sensors in satellites, measurement through meteorological radar and forecasts of atmospheric models for different time horizons. All environmental forecasting models are uncertain and this uncertainty varies over time and space. This work aims to present the results of the evaluation of the evolution of the error associated with different short-term forecasts. The Delft-FEWS (Flood Early Warning System) platform was used to import and process observation and forecast data available for the river Ave basin, located in northern Portugal. The measured meteorological data were obtained from the National Water Resources Information System (SNIRH), at four new meteorological stations installed in the basin and radar reflectivity data measured by the meteorological radar operated by Meteogalicia. The forecasts evaluated correspond to the rainfall simulated by atmospheric models developed by the National Oceanic and Atmospheric Administration (NOAA) and Meteogalicia, namely the Global Forecast System (GFS), Global Ensemble Forecast System (GEFS) and Weather Research and Forecasting (WRF) model operated by Meteogalicia. The uncertainty associated with the predicted rainfall was evaluated considering forecast horizons of one to four days. The best results were obtained for the WRF model during precipitation events that occurred between January 2017 and May 2018 and presented average relative errors that varied between 7% (one forecast day) and 29% (four days). The implemented system thus allows, from an operational point of view, to forecast extreme events in advance of two days

UTILIZAÇÃO DE PREVISÕES DE PRECIPITAÇÃO DE MODELOS ATMOSFÉRICOS WRF, GFS E GEFS NA BACIA HIDROGRÁFICA DO RIO AVE (PORTUGAL) PARA GESTÃO OPERACIONAL DE UM SISTEMA DE DRENAGEM

Os sistemas de previsão e alerta utilizados na gestão de recursos hídricos e operação de sistemas de drenagem tiveram desenvolvimentos significativos nos últimos anos. Esses desenvolvimentos resultaram da disponibilidade de informações meteorológicas em tempo real, em particular de medições por sensores em satélites, medição através de radar meteorológico e de previsões de modelos atmosféricos para diferentes horizontes temporais. Todos os modelos de previsão ambiental são incertos e essa incerteza é variável no tempo e no espaço. Este trabalho tem como objetivo apresentar os resultados da avaliação da evolução do erro associado a diferentes previsões de curto prazo. A plataforma Delft-FEWS (Flood Early Warning System) foi utilizada para proceder à importação e processamento de dados de observações e previsões disponíveis para a bacia do rio Ave, localizada no norte de Portugal. Os dados meteorológicos medidos foram obtidos no Sistema Nacional de Informações de Recursos Hídricos (SNIRH), em quatro estações meteorológicas instaladas na bacia em estudo e dados de refletividade medidos pelo radar meteorológico operado pela Meteogalicia. As previsões avaliadas correspondem às precipitações simuladas por modelos atmosféricos desenvolvidos pela National Oceanic and Atmospheric Administration (NOAA) e Meteogalicia, nomeadamente os modelos Global Forecast System (GFS), Global Ensemble Forecast System (GEFS) e Weather Research and Forecasting, (WRF) operado pela Meteogalicia. A incerteza associada às precipitações previstas foi avaliada considerando horizontes de previsão de um a quatro dias. Os melhores resultados foram obtidos para o modelo WRF durante eventos de precipitação ocorridos entre janeiro de 2017 e maio de 2018 e apresentaram médias de erros relativos que variaram entre 7% (um dia de previsão) e 29% (quatro dias). O sistema implementado permite, assim, do ponto de vista operacional, antecipar com antecedência de dois dias eventos extremos. USE OF PRECIPITATION FORECASTS FROM WRF, GFS AND GEFS ATMOSPHERIC MODELS AT RIVER AVE BASIN (PORTUGAL) FOR OPERATIONAL MANAGEMENT OF A DRAINAGE SYSTEMABSTRACTThe forecasting and warning systems used in water resources management and drainage systems operation have had significant developments in recent years. These developments resulted from the availability of meteorological information in real time, in particular from measurements by sensors in satellites, measurement through meteorological radar and forecasts of atmospheric models for different time horizons. All environmental forecasting models are uncertain and this uncertainty varies over time and space. This work aims to present the results of the evaluation of the evolution of the error associated with different short-term forecasts. The Delft-FEWS (Flood Early Warning System) platform was used to import and process observation and forecast data available for the river Ave basin, located in northern Portugal. The measured meteorological data were obtained from the National Water Resources Information System (SNIRH), at four new meteorological stations installed in the basin and radar reflectivity data measured by the meteorological radar operated by Meteogalicia. The forecasts evaluated correspond to the rainfall simulated by atmospheric models developed by the National Oceanic and Atmospheric Administration (NOAA) and Meteogalicia, namely the Global Forecast System (GFS), Global Ensemble Forecast System (GEFS) and Weather Research and Forecasting (WRF) model operated by Meteogalicia. The uncertainty associated with the predicted rainfall was evaluated considering forecast horizons of one to four days. The best results were obtained for the WRF model during precipitation events that occurred between January 2017 and May 2018 and presented average relative errors that varied between 7% (one forecast day) and 29% (four days). The implemented system thus allows, from an operational point of view, to forecast extreme events in advance of two days

Use of precipitation forecasts from WRF, GFS and GEFS atmospheric models at river Ave basin (Portugal) for operational management of a drainage system

Os sistemas de previsão e alerta utilizados na gestão de recursos hídricos e operação de sistemas de drenagem tiveram desenvolvimentos significativos nos últimos anos. Esses desenvolvimentos resultaram da disponibilidade de informações meteorológicas em tempo real, em particular de medições por sensores em satélites, medição através de radar meteorológico e de previsões de modelos atmosféricos para diferentes horizontes temporais. Todos os modelos de previsão ambiental são incertos e essa incerteza é variável no tempo e no espaço. Este trabalho tem como objetivo apresentar os resultados da avaliação da evolução do erro associado a diferentes previsões de curto prazo. A plataforma Delft-FEWS (Flood Early Warning System) foi utilizada para proceder à importação e processamento de dados de observações e previsões disponíveis para a bacia do rio Ave, localizada no norte de Portugal. Os dados meteorológicos medidos foram obtidos no Sistema Nacional de Informações de Recursos Hídricos (SNIRH), em quatro estações meteorológicas instaladas na bacia em estudo e dados de refletividade medidos pelo radar meteorológico operado pela Meteogalicia. As previsões avaliadas correspondem às precipitações simuladas por modelos atmosféricos desenvolvidos pela National Oceanic and Atmospheric Administration (NOAA) e Meteogalicia, nomeadamente os modelos Global Forecast System (GFS), Global Ensemble Forecast System (GEFS) e Weather Research and Forecasting, (WRF) operado pela Meteogalicia. A incerteza associada às precipitações previstas foi avaliada considerando horizontes de previsão de um a quatro dias. Os melhores resultados foram obtidos para o modelo WRF durante eventos de precipitação ocorridos entre janeiro de 2017 e maio de 2018 e apresentaram médias de erros relativos que variaram entre 7% (um dia de previsão) e 29% (quatro dias). O sistema implementado permite, assim, do ponto de vista operacional, antecipar com antecedência de dois dias eventos extremos.The forecasting and warning systems used in water resources management and drainage systems operation have had significant developments in recent years. These developments resulted from the availability of meteorological information in real time, in particular from measurements by sensors in satellites, measurement through meteorological radar and forecasts of atmospheric models for different time horizons. All environmental forecasting models are uncertain and this uncertainty varies over time and space. This work aims to present the results of the evaluation of the evolution of the error associated with different short-term forecasts. The Delft-FEWS (Flood Early Warning System) platform was used to import and process observation and forecast data available for the river Ave basin, located in northern Portugal. The measured meteorological data were obtained from the National Water Resources Information System (SNIRH), at four new meteorological stations installed in the basin and radar reflectivity data measured by the meteorological radar operated by Meteogalicia. The forecasts evaluated correspond to the rainfall simulated by atmospheric models developed by the National Oceanic and Atmospheric Administration (NOAA) and Meteogalicia, namely the Global Forecast System (GFS), Global Ensemble Forecast System (GEFS) and Weather Research and Forecasting (WRF) model operated by Meteogalicia. The uncertainty associated with the predicted rainfall was evaluated considering forecast horizons of one to four days. The best results were obtained for the WRF model during precipitation events that occurred between January 2017 and May 2018 and presented average relative errors that varied between 7% (one forecast day) and 29% (four days). The implemented system thus allows, from an operational point of view, to forecast extreme events in advance of two days.TRATAVE S.

Técnica de ligadura e resseção para a exérese de uma lesão pseudo-pediculada volumosa no cólon ascendente

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Fecal microbiota transplantation in the intestinal decolonization of carbapenamase-producing enterobacteriaceae

Background and aims: fecal microbiota transplantation (FMT) is effective for recurrent Clostridium difficile infection (CDI). Intestinal decolonization of carbapenamase-producing enterobacteriaceae (CPE) can prevent transmission and infection by these agents. The aim of this study was to assess CPE decolonization after FMT. Methods: this was a case-series study that consecutively included all CPE-carriers that underwent FMT between 2014 and 2019. The indications included refractory/recurrent CDI and CPE-decolonization. Results: out of 21 CPE-carriers, eight were excluded due to incomplete post-FMT testing. CPE decolonization was confirmed in 76.9 % (n = 10). The median decolonization time was 16-weeks (IQR-23) and ranged from two to 53 weeks. Conclusion: FMT may be used in the clinical practice for CPE-decolonization as an alternative to combined antibiotic regimens.info:eu-repo/semantics/publishedVersio

Essential role of small bowel capsule endoscopy in reclassification of colonic inflammatory bowel disease type unclassified

AIM To evaluate the role of small bowel capsule endoscopy (SBCE) on the reclassification of colonic inflammatory bowel disease type unclassified (IBDU). METHODS We performed a multicenter, retrospective study including patients with IBDU undergoing SBCE, between 2002 and 2014. SBCE studies were reviewed and the inflammatory activity was evaluated by determining the Lewis score (LS). Inflammatory activity was considered significant and consistent with Crohn's disease (CD) when the LS >= 135. The definitive diagnosis during follow-up (minimum 12 mo following SBCE) was based on the combination of clinical, analytical, imaging, endoscopic and histological elements. RESULTS Thirty-six patients were included, 21 females (58%) with mean age at diagnosis of 33 +/- 13 (15-64) years. The mean follow-up time after the SBCE was 52 +/- 41 (12-156) mo. The SBCE revealed findings consistent with significant inflammatory activity in the small bowel (LS >= 135) in 9 patients (25%); in all of them the diagnosis of CD was confirmed during follow-up. In 27 patients (75%), the SBCE revealed no significant inflammatory activity (LS = 135 at SBCE had a sensitivity = 90%, specificity = 100%, positive predictive value = 100% and negative predictive value = 94% for the diagnosis of CD. CONCLUSION SBCE proved to be fundamental in the reclassification of patients with IBDU. Absence of significant inflammatory activity in the small intestine allowed exclusion of CD in 94% of cases.info:eu-repo/semantics/publishedVersio

Small bowel enteroscopy - A joint clinical guideline from the spanish and portuguese small bowel study groups

The present evidence-based guidelines are focused on the use of device-assisted enteroscopy in the management of small-bowel diseases. A panel of experts selected by the Spanish and Portuguese small bowel study groups reviewed the available evidence focusing on the main indications of this technique, its role in the management algorithm of each indication and on its diagnostic and therapeutic yields. A set of recommendations were issued accordingly.Estas recomendações baseadas na evidência detalham o uso da enteroscopia assistida por dispositivo no manejo clínico das doenças do intestino delgado. Um conjunto de Gastrenterologistas diferenciados em patologia do intestino delgado foi selecionado pelos grupos de estudos Espanhol e Português de intestino delgado para rever a evidência disponível sobre as principais indicações desta técnica, o seu papel nos algoritmos de manejo de cada indicação e sobre o seu rendimento diagnóstico e terapêutico. Foi gerado um conjunto de recomendações pelos autores