A space-time hybrid hourly rainfall model for derived flood frequency analysis

For derived flood frequency analysis based on hydrological modelling long continuous precipitation time series with high temporal resolution are needed. Often, the observation network with recording rainfall gauges is poor, especially regarding the limited length of the available rainfall time series. Stochastic precipitation synthesis is a good alternative either to extend or to regionalise rainfall series to provide adequate input for long-term rainfall-runoff modelling with subsequent estimation of design floods. Here, a new two step procedure for stochastic synthesis of continuous hourly space-time rainfall is proposed and tested for the extension of short observed precipitation time series. First, a single-site alternating renewal model is presented to simulate independent hourly precipitation time series for several locations. The alternating renewal model describes wet spell durations, dry spell durations and wet spell intensities using univariate frequency distributions separately for two seasons. The dependence between wet spell intensity and duration is accounted for by 2-copulas. For disaggregation of the wet spells into hourly intensities a predefined profile is used. In the second step a multi-site resampling procedure is applied on the synthetic point rainfall event series to reproduce the spatial dependence structure of rainfall. Resampling is carried out successively on all synthetic event series using simulated annealing with an objective function considering three bivariate spatial rainfall characteristics. In a case study synthetic precipitation is generated for some locations with short observation records in two mesoscale catchments of the Bode river basin located in northern Germany. The synthetic rainfall data are then applied for derived flood frequency analysis using the hydrological model HEC-HMS. The results show good performance in reproducing average and extreme rainfall characteristics as well as in reproducing observed flood frequencies. The presented model has the potential to be used for ungauged locations through regionalisation of the model parameters.

FAST-E en Pacientes con Trauma Abdominal Cerrado Estable, en un Departamento de Urgencias en Colombia

El impacto que ha generado el trauma en Colombia a lo largo de la historia, nos ha obligado a mejorar y adaptar diferentes tipos de sistemas de atención en trauma, basados en los lineamientos internacionales, los cuales buscan evitar el significativo aumento en las tasas de mortalidad y discapacidad que se obtienen de este, especialmente en los servicios de Emergencias en los cuales se reciben el 100% de estos pacientes con traumatismo múltiple o politraumatismo. Dentro de este grupo de pacientes hay un subgrupo que son las pacientes con trauma de abdomen que cursan con estabilidad hemodinámica y además son clasificados de bajo riesgo, ya sea por índices de trauma o por otros métodos como la medición sérica de lactato, los cuales tienen un papel poco despreciable al momento de ver mortalidad y discapacidad por trauma, ya sea penetrante o cerrado; en este trabajo específicamente nos centramos en las personas que consultan al servicio de Emergencias con trauma cerrado de abdomen los cuales son considerados de bajo riesgo, siendo este subgrupo de pacientes uno de los más difíciles de abordar y enfocar al momento de la valoración inicial, ya que se debe tener la seguridad de que no hay lesiones que comprometen la vida y por consiguiente estos pacientes puedan ser dados de alta.

Axis control optimization: autotuning techniques and frequency response analysis of industrial mechatronic systems

In the field of industrial automation, there is an increasing need to use optimal control systems that have low tracking errors and low power and energy consumption. The motors we are dealing with are mainly Permanent Magnet Synchronous Motors (PMSMs), controlled by 3 different types of controllers: a position controller, a speed controller, and a current controller. In this thesis, therefore, we are going to act on the gains of the first two controllers by going to find, through the TwinCAT 3 software, what might be the best set of parameters. To do this, starting with the default parameters recommended by TwinCAT, two main methods were used and then compared: the method of Ziegler and Nichols, which is a tabular method, and advanced tuning, an auto-tuning software method of TwinCAT. Therefore, in order to analyse which set of parameters was the best,several experiments were performed for each case, using the Motion Control Function Blocks. Moreover, some machines, such as large robotic arms, have vibration problems. To analyse them in detail, it was necessary to use the Bode Plot tool, which, through Bode plots, highlights in which frequencies there are resonance and anti-resonance peaks. This tool also makes it easier to figure out which and where to apply filters to improve control.