Coordinado por la Universidad de Berna, Suiza. DECADE comenzó en 2014 y finalizará a principios de 2018.

La investigación tiene como propósito analizar el riesgo asociado al arco eléctrico (Arc Flash) en la subestación eléctrica ubicada en el pie de la chimenea 249 de la unidad minera Yumpag, con el fin de salvaguardar la seguridad del personal operativo y garantizar la continuidad de las operaciones. El estudio, de enfoque cuantitativo y metodología aplicada con diseño no experimental, transversal y descriptivo, emplea el software ETAP para la simulación de parámetros críticos conforme a las normativas NFPA 70E e IEEE 1584, modelando subestaciones de media tensión de 10 kV y 4.16 kV para determinar la energía incidente, las distancias de seguridad, las fronteras de protección y los requerimientos de equipos de protección personal. Los resultados evidencian niveles máximos de energía incidente de 11.84 cal/cm² en barras de 10 kV (categoría 3), lo cual exige el uso de EPP e...

El presente estudio tiene como finalidad la creación de la Escala de Agresión ADAS para 3 Instituciones Educativas Públicas del distrito de San Martín de Porres. Con este propósito se realizó una adaptación de validez de contenido para jueces, considerando una población de 18,113 y se evaluó una muestra de adolescentes, la muestra fue no probabilística estuvo conformada por 376 adolescentes. La prueba obtuvo un índice de confiabilidad aceptable 0,878 facilitado por el método del alfa de Cronbach. Por lo tanto, se puede estimar que la Escala de Agresión ADAS, nos permite obtener puntajes confiables. Se concluye que el instrumento tiene características psicométricas apropiadas

Systematic data quality issues may occur at various stages of the data generation process. They may affect large fractions of observational datasets and remain largely undetected with standard data quality control. This study investigates the effects of such undetected data quality issues on the results of climatological analyses. For this purpose, we quality controlled daily observations of manned weather stations from the Central Andean area with a standard and an enhanced approach. The climate variables analysed are minimum and maximum temperature and precipitation. About 40ĝ% of the observations are inappropriate for the calculation of monthly temperature means and precipitation sums due to data quality issues. These quality problems undetected with the standard quality control approach strongly affect climatological analyses, since they reduce the correlation coefficients of statio...

This study used the first detailed radar measurements of the vertical structure of precipitation obtained in the central Andes of southern Peru and Bolivia to investigate the diurnal cycle and vertical structure of precipitation and melting-layer heights in the tropical Andes. Vertically pointing 24.1-GHz Micro Rain Radars in Cusco, Peru (3350 m MSL, August 2014–February 2015), and La Paz, Bolivia (3440 m MSL, October 2015–February 2017), provided continuous 1-min profiles of reflectivity and Doppler velocity. The time–height data enabled the determination of precipitation timing, melting-layer heights, and the identification of convective and stratiform precipitation features. Rawinsonde data, hourly observations of meteorological variables, and satellite and reanalysis data provided additional insight into the characteristics of these precipitation events. The radar data revealed...

In situ climatological observations are essential for studies related to climate trends and extreme events. However, in many regions of the globe, observational records are affected by a large number of data quality issues. Assessing and controlling the quality of such datasets is an important, often overlooked aspect of climate research. Besides analysing the measurement data, metadata are important for a comprehensive data quality assessment. However, metadata are often missing, but may partly be reconstructed by suitable actions such as station inspections. This study identifies and attributes the most important common data quality issues in Bolivian and Peruvian temperature and precipitation datasets. The same or similar errors are found in many other predominantly manned station networks worldwide. A large fraction of these issues can be traced back to measurement errors by the obse...

Precipitation variability in tropical high mountains is a fundamental yet poorly understood factor influencing local climatic expression and a variety of environmental processes, including glacier behavior and water resources. Precipitation type, diurnality, frequency, and amount influence hydrological runoff, surface albedo, and soil moisture, whereas cloud cover associated with precipitation events reduces solar irradiance at the surface. Considerable uncertainty remains in the multiscale atmospheric processes influencing precipitation patterns and their associated regional variability in the tropical Andes—particularly related to precipitation phase, timing, and vertical structure. Using data from a variety of sources—including new citizen science precipitation stations; new high-elevation comprehensive precipitation monitoring stations at Chacaltaya, Bolivia, and the Quelccaya Ic...