Resumo As proporções de areia nas argamassas de tipo II foram analisadas de acordo com a norma N-CMT-2-01-004/02. Foram utilizados três tipos de agregados da região de Morelia, Michoacán para determinar a sua influência nas suas propriedades físico-mecânicas. Considerando a utilização de diferentes materiais cimentícios (CM): cimento Portland mais cimento de alvenaria (B2) e cimento Portland mais cal (B1). Foram preparadas misturas para B1 e B2 com relações areia/MC de 2,25 para 4. Foram determinadas a fluidez, resistência uniaxial à compressão (UCS) e resistividade elétrica úmida (WER). Estudando a relação entre a fluidez e a quantidade de água/MC, concluindo que o tipo de agregado e as proporções modificam a fluidez e a demanda de água no estado fresco com impacto no UCS e no WER.

Abstract The influence of the sand proportion in mortars Type II was studied, according to the standard N-CMT-2-01-004/02, using three fine aggregates from the region of Morelia, in Michoacan, and determining their influence in the physico-mechanical properties, while considering the use of different cementitious materials (CM): Portland cement plus lime (B1), and Portland cement plus construction cement (B2). Mortar mixtures were designed for B1 and B2 with volume ratios of aggregates/CM, from 2.25 to 4, determining the fluency, the uniaxial compressive strength (UCS) and the wet electrical resistivity (WER). The relation between the fluency and the ratio water/CM were studied, concluding that the aggregate type and the proportions employed modify the fluency and the water demand in the fresh state of the mortar, and consequently impact the UCS and WER.

Resumen Se analizó la influencia de la proporción de arena en morteros Tipo II según norma N-CMT-2-01-004/02 empleando tres tipos de áridos de la región de Morelia, Michoacán determinando su influencia en sus propiedades físico-mecánicas, contemplando el uso de diferentes materiales cementantes (MC): el cemento Portland más cal (B1), cemento Portland más cemento de albañilería (B2). Se elaboraron mezclas para B1 y B2 con relaciones en volumen arena/MC, desde 2.25 hasta 4, determinando la fluidez, resistencia a compresión uniaxial (UCS) y resistividad eléctrica húmeda (WER). Se estudió la relación entre la fluidez y la cantidad de agua/MC, concluyendo que el tipo de árido y proporciones modifican la fluidez y demanda de agua en estado fresco impactando en UCS y WER.

Strong rainfall events have unquestionably one of the largest economic and social impacts of any atmospheric phenomena. The purpose of this paper is to simulate the weather conditions associated with the heavy precipitation episode during 11-13 March 2002, which generated intense rainfall as well as hail and snow in the central and northern regions of Continental Portugal. The simulation was carried out using the Regional Atmospheric Modeling System (RAMS), through a three nested grids configuration 48 km, 12 km and the highest resolution being 3 km, to capture the synoptic and mesoscale circulation patterns. The initial and lateral boundary conditions necessary to drive RAMS were taken from the Brazilian Center of Weather Prediction and Climate Studies (CPTEC) global model forecasts in the form of spectral coefficients with T62 triangular truncation equivalent to 1.825° resolution in the meridional and zonal directions. The model results show that the RAMS model is a useful framework to describe the rainfall patterns over the region, reproducing the area without rainfall within the domain reasonably well, although the model overestimated or underestimated the observed values at different periods. The spatial distribution of the total accumulated rainfall showed some tendency to predict more precipitation over higher elevations, probably influenced by dynamical forcing and associated microphysical processes.

Los eventos fuertes de precipitación incuestionablemente tienen, de entre todos los fenómenos atmosféricos, los mayores impactos económicos y sociales. El propósito de este trabajo es simular las condiciones climáticas asociadas con el episodio de precipitación fuerte que ocurrió entre el 11 y el 13 de marzo de 2002 y que generó lluvia intensa así como granizo y nieve en las regiones central y norte de Portugal continental. La simulación se llevó a cabo utilizando el sistema de modelación atmosférica regional (Regional Atmospheric Modelling System, RAMS) con redes de configuración de 48 y 12 km y una resolución máxima de 3 km para capturar los patrones de circulación sinópticos y de mesoescala. Las condiciones iniciales y laterales de frontera necesarias para ejecutar el RAMS se obtuvieron de los modelos globales de pronóstico del centro brasileño de predicción del tiempo y estudios climáticos (Centro de Previsão de Tempo e Estudos Climáticos, CPTEC) en la forma de coeficientes espectrales con triangulación truncada T62 equivalente a 1.825° de resolución en las direcciones meridional y zonal. Los resultados del modelo muestran que el RAMS es un marco útil para describir los patrones de lluvia de la región, reproduciendo razonablemente bien el área sin precipitación dentro del dominio; sin embargo el modelo sobreestima o subestima los valores observados en diferentes periodos. La distribución espacial de la precipitación total acumulada mostró una tendencia a predecir mayor precipitación sobre los lugares elevados, probablemente por la influencia del forzamiento dinámico y la asociación con procesos microfísicos.

Este artigo é um ensaio na quantificação de incertezas espaciais associadas à resposta de temperaturas extremas, avaliando dados derivados de um determinado modelo de clima. Isto é empreendido por uma comparação entre o padrão espacial de séries temporais agregadas de longo termo (1960/61-1989/90) para temperaturas extremas simuladas de um particular MCG, o "UK Met Office - Hadley Centre" modelo de clima, HadCM3, e das reanálises do "USA NCAR NCEP", que são considerados como ‘verdade’, no domínio espacial do projeto MICE ("Modelling the Impacts of Climate Extremes" - Projeto Europeu). Posto que a avaliação de modelos é crucial na determinação de cenários futuros, a meta deste estudo é investigar se os valores extremos obtidos através do HadCM3 são hábeis para reproduzir as reanálises do NCEP, assumindo que os extremos de ambos os modelos sejam realizações do mesmo processo estocástico no espaço. Para adquirir informações mais úteis sobre as incertezas acerca da projeção espacial de clima, deve-se também analisar o padrão de extremos de temperatura em termos de suas anomalias. Uma técnica comum na avaliação de modelos numéricos está baseada na Análise de Componentes Principais ou na Classificação Bayesiana Empírica para o reconhecimento do padrão espacial. Estas metodologias são muito importante e úteis para guiar o processo de estatístico evolutivo na construção de modelos. Este estudo conduz à conclusão que as simulações do HadCM3 não reproduzem realisticamente as reanálises do NCEP, apesar da climatologia de extremos ter demonstrado padrões espaciais semelhantes. É provável, então, que tal instabilidade possa persistir no futuro.

This article attempts to quantify the spatial uncertainties associated with extreme temperature’s response, by assessing data derived from climate model. This is undertaken by a comparison of the spatial pattern of a long-term time-series aggregation (1960/61-1989/90) for extreme temperatures simulated by a particular GCM (the UK Met Office - Hadley Centre climate model, HadCM3) to that of the USA NCAR NCEP Reanalyses, which are considered as ‘truth’, over the MICE (Modelling the Impacts of Climate Extremes - EU Project) spatial domain. Since evaluation of models is crucial to assessing future scenarios, the aim of this study is to investigate whether the extreme values predicted by the HadCM3 climate model can simulate those produced by NCEP Reanalyses, assuming that the extremes of both models are realizations of the same spatial stochastic process. To get more useful information about the uncertainties surrounding spatial climate projection, one also has to analyze the pattern of temperature extremes in terms of their anomalies. A common technical issue in the assessment of numerical spatial models is based on the Principal Components Analysis and Bayesian Classification for spatial pattern recognition. These methodologies are very important and useful for guiding an evolutionary statistical model-building process. This study leads to the conclusion that the HadCM3 Simulations do not realistically reproduce the NCEP Reanalyses, despite the fact that the climatology of extremes has demonstrated very similar spatial patterns. It is likely therefore that such instability may persist in the future.

Colletotrichum truncatum is the most common pathogen fungus associated with soybean anthracnose. Although the lignin-degrading enzyme laccase has been implicated in pathogenicity of a wide range of plant pathogenic fungi, its biological role in the Colletotrichum -soybean disease system is unknown. The extent of the infection in our country led us to examine laccase production in Argentinean Colletotrichum strains isolated from diseased soybean plants from different geographic locations. Ten strains (eight of them identified as C. truncatum) , were screened for in vitro laccase production. Only six of the isolates, all of them C. truncatum , produced laccase activity when cultured on a defined medium based on pectin and asparagine as carbon and nitrogen sources, respectively. Strain BAFC 3102 (isolated from Chaco province), yielded the highest laccase titers (44 U/L) in this medium. Denaturing polyacrylamide gel electrophoresis of extracellular culture fluids revealed one band with laccase activity (mol wt 67 kDa). CuSO 4 addition to media with either glucose or pectin as carbon sources increased up to 7-fold laccase production (280 U/L in the glucose medium), but the pattern of isoenzyme was not affected by culture age or medium composition. This is the first report on laccase production by C. truncatum.

Colletotrichum truncatum es el hongo patógeno más comúnmente asociado con la antracnosis de soja. Aunque la enzima ligninolítica lacasa se relaciona con la patogenicidad de un amplio rango de hongos fitopatógenos, su rol biológico en la interacción Colletotrichum -soja aún se desconoce. La extensión de la infección en la Argentina , nos ha llevado a examinar la producción de lacasa en cepas aisladas de plantas enfermas de soja de diferentes regiones de nuestro país. Se evaluó la producción in vitro de lacasa en diez cepas (ocho de ellas identificadas como C. truncatum ). Sólo seis, todas correspondientes a C. truncatum , produjeron lacasa cuando fueron cultivadas en un medio con pectina y asparagina. La máxima actividad en este medio (44 U/L) se detectó en la cepa BAFC 3102 (aislada en la Provincia del Chaco). La electroforesis en SDS PAGE de los sobrenadantes de cultivo reveló una única banda con actividad lacasa (peso molecular 67 kDa). La adición de CuSO 4 al medio incrementó hasta siete veces su producción (280 U/L en medio con glucosa), sin embargo la edad del cultivo o la composición del medio no produjeron variaciones en el patrón isoenzimático. Este es el primer reporte sobre producción de lacasa por C. truncatum.