Legal Aspects which Implement Good Practice Measures in the Management of Construction and Demolition Waste

The construction industry, one of the most important ones in the development of a country, generates unavoidable impacts on the environment. The social demand towards greater respect for the environment is a high and general outcry. Therefore, the construction industry needs to reduce the impact it produces. Proper waste management is not enough; we must take a further step in environmental management, where new measures need to be introduced for the prevention at source, such as good practices to promote recycling. Following the amendment of the legal frame applicable to Construction and Demolition Waste (C&D waste), important developments have been incorporated in European and International laws, aiming to promote the culture of reusing and recycling. This change of mindset, that is progressively taking place in society, is allowing for the consideration of C&D waste no longer as an unusable waste, but as a reusable material. The main objective of the work presented in this paper is to enhance C&D waste management systems through the development of preventive measures during the construction process. These measures concern all the agents intervening in the construction process as only the personal implication of all of them can ensure an efficient management of the C&D waste generated. Finally, a model based on preventive measures achieves organizational cohesion between the different stages of the construction process, as well as promoting the conservation of raw materials through the use and waste minimization. All of these in order to achieve a C&D waste management system, whose primary goal is zero waste generation

Aplicación de técnicas de inteligencia artificial a la predicción de contaminantes atmosféricos

Abstract Air pollution is a big threat and a phenomenon that has a specific impact on human health, in addition, changes that occur in the chemical composition of the atmosphere can change the weather and cause acid rain or ozone destruction. Those are phenomena of global importance. The World Health Organization (WHO) considerates air pollution as one of the most important global priorities. Salamanca, Gto., Mexico has been ranked as one of the most polluted cities in this country. The industry of the area led to a major economic development and rapid population growth in the second half of the twentieth century. The impact in the air quality is important and significant efforts have been made to measure the concentrations of pollutants. The main pollution sources are locally based plants in the chemical and power generation sectors. The registered concerning pollutants are Sulphur Dioxide (SO2) and particles on the order of ∼10 micrometers or less (PM10). The prediction in the concentration of those pollutants can be a powerful tool in order to take preventive measures such as the reduction of emissions and alerting the affected population. In this PhD thesis we propose a model to predict concentrations of pollutants SO2 and PM10 for each monitoring booth in the Atmospheric Monitoring Network Salamanca (REDMAS - for its spanish acronym). The proposed models consider the use of meteorological variables as factors influencing the concentration of pollutants. The information used along this work is the current real data from REDMAS. In the proposed model, Artificial Neural Networks (ANN) combined with clustering algorithms are used. The type of ANN used is the Multilayer Perceptron with a hidden layer, using separate structures for the prediction of each pollutant. The meteorological variables used for prediction were: Wind Direction (WD), wind speed (WS), Temperature (T) and relative humidity (RH). Clustering algorithms, K-means and Fuzzy C-means, are used to find relationships between air pollutants and weather variables under consideration, which are added as input of the RNA. Those relationships provide information to the ANN in order to obtain the prediction of the pollutants. The results of the model proposed in this work are compared with the results of a multivariate linear regression and multilayer perceptron neural network. The evaluation of the prediction is calculated with the mean absolute error, the root mean square error, the correlation coefficient and the index of agreement. The results show the importance of meteorological variables in the prediction of the concentration of the pollutants SO2 and PM10 in the city of Salamanca, Gto., Mexico. The results show that the proposed model perform better than multivariate linear regression and multilayer perceptron neural network. The models implemented for each monitoring booth have the ability to make predictions of air quality that can be used in a system of real-time forecasting and human health impact analysis. Among the main results of the development of this thesis we can cite: A model based on artificial neural network combined with clustering algorithms for prediction with a hour ahead of the concentration of each pollutant (SO2 and PM10) is proposed. A different model was designed for each pollutant and for each of the three monitoring booths of the REDMAS. A model to predict the average of pollutant concentration in the next 24 hours of pollutants SO2 and PM10 is proposed, based on artificial neural network combined with clustering algorithms. Model was designed for each booth of the REDMAS and each pollutant separately. Resumen La contaminación atmosférica es una amenaza aguda, constituye un fenómeno que tiene particular incidencia sobre la salud del hombre. Los cambios que se producen en la composición química de la atmósfera pueden cambiar el clima, producir lluvia ácida o destruir el ozono, fenómenos todos ellos de una gran importancia global. La Organización Mundial de la Salud (OMS) considera la contaminación atmosférica como una de las más importantes prioridades mundiales. Salamanca, Gto., México; ha sido catalogada como una de las ciudades más contaminadas en este país. La industria de la zona propició un importante desarrollo económico y un crecimiento acelerado de la población en la segunda mitad del siglo XX. Las afectaciones en el aire son graves y se han hecho importantes esfuerzos por medir las concentraciones de los contaminantes. Las principales fuentes de contaminación son fuentes fijas como industrias químicas y de generación eléctrica. Los contaminantes que se han registrado como preocupantes son el Bióxido de Azufre (SO2) y las Partículas Menores a 10 micrómetros (PM10). La predicción de las concentraciones de estos contaminantes puede ser una potente herramienta que permita tomar medidas preventivas como reducción de emisiones a la atmósfera y alertar a la población afectada. En la presente tesis doctoral se propone un modelo de predicción de concentraci ón de los contaminantes más críticos SO2 y PM10 para cada caseta de monitorización de la Red de Monitorización Atmosférica de Salamanca (REDMAS). Los modelos propuestos plantean el uso de las variables meteorol ógicas como factores que influyen en la concentración de los contaminantes. La información utilizada durante el desarrollo de este trabajo corresponde a datos reales obtenidos de la REDMAS. En el Modelo Propuesto (MP) se aplican Redes Neuronales Artificiales (RNA) combinadas con algoritmos de agrupamiento. La RNA utilizada es el Perceptrón Multicapa con una capa oculta, utilizando estructuras independientes para la predicción de cada contaminante. Las variables meteorológicas disponibles para realizar la predicción fueron: Dirección de Viento (DV), Velocidad de Viento (VV), Temperatura (T) y Humedad Relativa (HR). Los algoritmos de agrupamiento K-means y Fuzzy C-means son utilizados para encontrar relaciones existentes entre los contaminantes atmosféricos en estudio y las variables meteorológicas. Dichas relaciones aportan información a las RNA para obtener la predicción de los contaminantes, la cual es agregada como entrada de las RNA. Los resultados del modelo propuesto en este trabajo son comparados con los resultados de una Regresión Lineal Multivariable (RLM) y un Perceptrón Multicapa (MLP). La evaluación de la predicción se realiza con el Error Medio Absoluto, la Raíz del Error Cuadrático Medio, el coeficiente de correlación y el índice de acuerdo. Los resultados obtenidos muestran la importancia de las variables meteorológicas en la predicción de la concentración de los contaminantes SO2 y PM10 en la ciudad de Salamanca, Gto., México. Los resultados muestran que el MP predice mejor la concentración de los contaminantes SO2 y PM10 que los modelos RLM y MLP. Los modelos implementados para cada caseta de monitorizaci ón tienen la capacidad para realizar predicciones de calidad del aire, estos modelos pueden ser implementados en un sistema que permita realizar la predicción en tiempo real y analizar el impacto en la salud de la población. Entre los principales resultados obtenidos del desarrollo de esta tesis podemos citar: Se propone un modelo basado en una red neuronal artificial combinado con algoritmos de agrupamiento para la predicción con una hora de anticipaci ón de la concentración de cada contaminante (SO2 y PM10). Se diseñó un modelo diferente para cada contaminante y para cada una de las tres casetas de monitorización de la REDMAS. Se propone un modelo de predicción del promedio de la concentración de las próximas 24 horas de los contaminantes SO2 y PM10, basado en una red neuronal artificial combinado con algoritmos de agrupamiento. Se diseñó un modelo para cada caseta de monitorización de la REDMAS y para cada contaminante por separado.

Full scale test for explosion water barriers in small cross-section galleries

Underground coal mines explosions generally arise from the inflammation of a methane/air mixture. This explosion can also generate a subsequent coal dust explosion. Traditionally such explosions have being fought eliminating one or several of the factors needed by the explosion to take place. Although several preventive measures are taken to prevent explosions, other measures should be considered to reduce the effects or even to extinguish the flame front. Unlike other protection methods that remove one or two of the explosion triangle elements, namely; the ignition source, the oxidizing agent and the fuel, explosion barriers removes all of them: reduces the quantity of coal in suspension, cools the flame front and the steam generated by vaporization removes the oxygen present in the flame. Passive water barriers are autonomous protection systems against explosions that reduce to a satisfactory safety level the effects of methane and/or flammable dust explosions. The barriers are activated by the pressure wave provoked in the explosion destroying the barrier troughs and producing a uniform dispersion of the extinguishing agent throughout the gallery section in quantity enough to extinguish the explosion flame. Full scale tests have been carried out in Polish Barbara experimental mine at GIG Central Mining Institute in order to determine the requirements and the optimal installation conditions of these devices for small sections galleries which are very frequent in the Spanish coal mines. Full scale tests results have been analyzed to understand the explosion timing and development, in order to assess on the use of water barriers in the typical small crosssection Spanish galleries. Several arrangements of water barriers have been designed and tested to verify the effectiveness of the explosion suppression in each case. The results obtained demonstrate the efficiency of the water barriers in stopping the flame front even with smaller amounts of water than those established by the European standard. According to the tests realized, water barriers activation times are between 0.52 s and 0.78 s and the flame propagation speed are between 75 m/s and 80 m/s. The maximum pressures (Pmax) obtained in the full scale tests have varied between 0.2 bar and 1.8 bar. Passive barriers protect effectively against the spread of the flame but cannot be used as a safeguard of the gallery between the ignition source and the first row of water troughs or bags, or even after them, as the pressure could remain high after them even if the flame front has been extinguished.

Estimación del riesgo sísmico en puerto príncipe (Haití)

Tras el devastador terremoto del 12 de enero de 2010 en Puerto Príncipe, Haití, las autoridades locales, numerosas ONGs y organismos nacionales e internacionales están trabajando en el desarrollo de estrategias para minimizar el elevado riesgo sísmico existente en el país. Para ello es necesario, en primer lugar, estimar dicho riesgo asociado a eventuales terremotos futuros que puedan producirse, evaluando el grado de pérdidas que podrían generar, para dimensionar la catástrofe y actuar en consecuencia, tanto en lo referente a medidas preventivas como a adopción de planes de emergencia. En ese sentido, este Trabajo Fin de Master aporta un análisis detallado del riesgo sísmico asociado a un futuro terremoto que podría producirse con probabilidad razonable, causando importantes daños en Puerto Príncipe. Se propone para ello una metodología de cálculo del riesgo adaptada a los condicionantes de la zona, con modelos calibrados empleando datos del sismo de 2010. Se ha desarrollado en el marco del proyecto de cooperación Sismo-Haití, financiado por la Universidad Politécnica de Madrid, que comenzó diez meses después del terremoto de 2010 como respuesta a una petición de ayuda del gobierno haitiano. El cálculo del riesgo requiere la consideración de dos inputs: la amenaza sísmica o movimiento esperado por el escenario definido (sismo de cierta magnitud y localización) y los elementos expuestos a esta amenaza (una clasificación del parque inmobiliario en diferentes tipologías constructivas, así como su vulnerabilidad). La vulnerabilidad de estas tipologías se describe por medio de funciones de daño: espectros de capacidad, que representan su comportamiento ante las fuerzas horizontales motivadas por los sismos, y curvas de fragilidad, que representan la probabilidad de que las estructuras sufran daños al alcanzar el máximo desplazamiento horizontal entre plantas debido a la mencionada fuerza horizontal. La metodología que se propone especifica determinadas pautas y criterios para estimar el movimiento, asignar la vulnerabilidad y evaluar el daño, cubriendo los tres estados del proceso. Por una parte, se consideran diferentes modelos de movimiento fuerte incluyendo el efecto local, y se identifican los que mejor ajustan a las observaciones de 2010. Por otra se clasifica el parque inmobiliario en diferentes tipologías constructivas, en base a la información extraída en una campaña de campo y utilizando además una base de datos aportada por el Ministerio de Obras Públicas de Haití. Ésta contiene información relevante de todos los edificios de la ciudad, resultando un total de 6 tipologías. Finalmente, para la estimación del daño se aplica el método capacidad-demanda implementado en el programa SELENA (Molina et al., 2010). En primer lugar, utilizado los datos de daño del terremoto de 2010, se ha calibrado el modelo propuesto de cálculo de riesgo sísmico: cuatro modelos de movimiento fuerte, tres modelos de tipo de suelo y un conjunto de funciones de daño. Finalmente, con el modelo calibrado, se ha simulado un escenario sísmico determinista correspondiente a un posible terremoto con epicentro próximo a Puerto Príncipe. Los resultados muestran que los daños estructurales serán considerables y podrán llevar a pérdidas económicas y humanas que causen un gran impacto en el país, lo que pone de manifiesto la alta vulnerabilidad estructural existente. Este resultado será facilitado a las autoridades locales, constituyendo una base sólida para toma de decisiones y adopción de políticas de prevención y mitigación del riesgo. Se recomienda dirigir esfuerzos hacia la reducción de la vulnerabilidad estructural - mediante refuerzo de edificios vulnerables y adopción de una normativa sismorresistente- y hacia el desarrollo de planes de emergencia. Abstract After the devastating 12 January 2010 earthquake that hit the city of Port-au-Prince, Haiti, strategies to minimize the high seismic risk are being developed by local authorities, NGOs, and national and international institutions. Two important tasks to reach this objective are, on the one hand, the evaluation of the seismic risk associated to possible future earthquakes in order to know the dimensions of the catastrophe; on the other hand, the design of preventive measures and emergency plans to minimize the consequences of such events. In this sense, this Master Thesis provides a detailed estimation of the damage that a possible future earthquake will cause in Port-au-Prince. A methodology to calculate the seismic risk is proposed, adapted to the study area conditions. This methodology has been calibrated using data from the 2010 earthquake. It has been conducted in the frame of the Sismo-Haiti cooperative project, supported by the Technical University of Madrid, which started ten months after the 2010 earthquake as an answer to an aid call of the Haitian government. The seismic risk calculation requires two inputs: the seismic hazard (expected ground motion due to a scenario earthquake given by magnitude and location) and the elements exposed to the hazard (classification of the building stock into building typologies, as well as their vulnerability). This vulnerability is described through the damage functions: capacity curves, which represent the structure performance against the horizontal forces caused by the seisms; and fragility curves, which represent the probability of damage as the structure reaches the maximum spectral displacement due to the horizontal force. The proposed methodology specifies certain guidelines and criteria to estimate the ground motion, assign the vulnerability, and evaluate the damage, covering the whole process. Firstly, different ground motion prediction equations including the local effect are considered, and the ones that have the best correlation with the observations of the 2010 earthquake, are identified. Secondly, the classification of building typologies is made by using the information collected during a field campaign, as well as a data base provided by the Ministry of Public Works of Haiti. This data base contains relevant information about all the buildings in the city, leading to a total of 6 different typologies. Finally, the damage is estimated using the capacity-spectrum method as implemented in the software SELENA (Molina et al., 2010). Data about the damage caused by the 2010 earthquake have been used to calibrate the proposed calculation model: different choices of ground motion relationships, soil models, and damage functions. Then, with the calibrated model, a deterministic scenario corresponding to an epicenter close to Port-au-Prince has been simulated. The results show high structural damage, and therefore, they point out the high structural vulnerability in the city. Besides, the economic and human losses associated to the damage would cause a great impact in the country. This result will be provided to the Haitian Government, constituting a scientific base for decision making and for the adoption of measures to prevent and mitigate the seismic risk. It is highly recommended to drive efforts towards the quality control of the new buildings -through reinforcement and construction according to a seismic code- and the development of emergency planning.

Estudio de la reactividad álcali-sílice originada por componentes reactivos minoritarios

El objetivo de la presente tesis se enmarca dentro del estudio del estado de hormigones de presas, desarrollado en los últimos años en el Laboratorio Central del CEDEX, en el que se ratifica que una de las causas más importantes del deterioro de obras hidráulicas en España es la reacción álcali-sílice. La tesis que se presenta pretende contribuir al mejor conocimiento de la reacción álcali sílice con fines normativos preventivos, abordando los aspectos relativos a la identificación de áridos reactivos en el hormigón. El conocimiento de los áridos reactivos en España (origen de la reactividad, tipos de reacción y su comportamiento, así como las herramientas disponibles para su detección) es imprescindible para evitar la futura aparición de esta patología en nuevas estructuras, ya sea evitando el uso de áridos reactivos o tomando las medidas preventivas necesarias si su utilización es inevitable. A partir del Estudio Bibliográfico realizado se han detectado diversas lagunas en la identificación y caracterización de áridos de reacción rápida, cuya característica principal es que son reactivos con concentraciones muy bajas de diferentes componentes reactivos. Para resolver las lagunas identificadas se ha planeado un estudio experimental, consistente en el análisis de áridos cuya reactividad es conocida porque han sido empleados en obras afectadas por la reacción álcali sílice. Sobre el árido grueso extraído de estas estructuras se han realizado una serie de ensayos normalizados (estudio petrográfico, ensayo acelerado de probetas de mortero, ensayo Gel Pat y ensayos químicos). El análisis de los resultados experimentales ha permitido conocer las limitaciones reales en áridos reactivos españoles de las diferentes técnicas existentes, tratando de minimizarlas para áridos cuya reactividad es debida a componentes minoritarios (áridos de reacción rápida). Además, se ha evaluado la utilización de la difracción de rayos X (no normalizada) y la creación de un nuevo ensayo (Gel Pat Modificado). Finalmente, el estudio experimental ha permitido fijar una metodología de ensayo para el estudio de áridos reactivos por su contenido en componentes minoritarios (áridos de reacción rápida). The objective of this Thesis fits into the research program developed in CEDEX the last years and focused on the durability of concrete in Dams. This research work confirms that one of the main problems related to the deterioration of hydraulic structures is the alkali silica reaction. This Thesis aims to contribute to a better understanding of alkali-silica reaction, for preventive regulation purposes, considering the aspects related to the identification of reactive aggregates. The knowledge of Spanish reactive aggregates (origin of the reactivity, types of reaction and their behavior, and the tools available to detect and describe them) is essential to avoid the appearance of this pathology in new structures, either not using the reactive aggregate or taking the necessary preventive measures available in bibliography if the use of the reactive aggregate is inevitable. From the State-of –the-Art developed, several gaps have been detected in the detection and description of rapid reactive aggregates, which main characteristic if that they are reactive with low content of some reactive components. An experimental programme has been designed to solve these gaps, consisting on studying the reactivity of aggregates used in Spanish structures affected by the alkali silica reaction. Several Standard Tests have been carried out on coarse aggregates removed from the affected structures (Petrographic description, Accelerated Mortar Bar Test, Gel Pat Test and Chemical Tests). The analysis of the results obtained in Spanish reactive aggregates allows to know the advantages and limitations of each test, trying to minimize the disadvantages to detect Spanish reactive aggregates because of the minority content of rapid reactive components (rapid reactive aggregates). Moreover, X ray diffraction (not standardized) has been tested to detect rapid reactive aggregates and also a new test has been developed for the same purpose (Optimized Gel Pat Test). Finally, the experimental programme has made possible to define a methodology for detection of Spanish rapid reactive aggregates.

Application of protection means against explosions in underground mines

Underground coal mines explosions generally arise from the inflammation of a methane/air mixture. This explosion can also generate a subsequent coal dust explosion. Traditionally such explosions have being fought eliminating one or several of the factors needed by the explosion to take place. Although several preventive measures are taken to prevent explosions, other measures should be considered to reduce the effects or even to extinguish the flame front. Unlike other protection methods that remove one or two of the explosion triangle elements, namely; the ignition source, the oxidizing agent and the fuel, explosion barriers removes all of them: reduces the quantity of coal in suspension, cools the flame front and the steam generated by vaporization removes the oxygen present in the flame. The present paper is essentially based on the comprehensive state-of–the-art of Protective Systems in underground coal mines, and particularly on the application of Explosion Barriers to improve safety level in Spanish coal mining industry. After an exhaustive study of series EN 14591 standards covering explosion prevention and protection in underground mines, authors have proven explosion barriers effectiveness in underground galleries by Full Scale Tests performed in Polish Barbara experimental mine, showing that the barriers can reduce the effects of methane and/or flammable coal dust explosions to a satisfactory safety level.

Análisis de la incidencia lesional en el fútbol profesional español en la temporada 2008-2009

Se ha descrito en la literatura como el fútbol es un deporte en cuya práctica existe una alta incidencia de lesión. Sin embargo, en España, hasta el momento no se había llevado a cabo ningún estudio que analizara la incidencia de lesión de los jugadores de fútbol profesional. Para poder prevenir lesiones, en primer lugar debemos de identificar la magnitud del problema, así como conocer aquellos factores que pueden influir sobre la producción de lesiones, Éste es principal objetivo de nuestro estudio para, a partir de él, poder diseñar e introducir en la práctica deportiva medidas preventivas con el objetivo de disminuir la incidencia de lesión en el fútbol. Hay que considerar que nos encontramos ante un estudio descriptivo, el cual se caracteriza, por no tener una hipótesis previa. En él nos planteamos como principal objetivo el conocer la influencia de los diferentes factores que influyen en la posibilidad de sufrir una lesión en el fútbol, además de realizar un análisis que describiera las lesiones sufridas, así como sus periodos de recuperación, en el fútbol profesional español, En esta investigación, participaron 27 equipos pertenecientes a la primera y segunda división española (728 jugadores), registrándose durante la temporada 2008- 2009 un total de 2184 lesiones. Para el registro de las lesiones, se utilizó el cuestionario REINLE cumplimentado de forma confidencial por miembros del equipo técnico de los clubes colaboradores, a través de la base de datos LEFUTPRO con acceso vía internet. Como dato general, encontramos que en la práctica del fútbol profesional existe una elevada incidencia de lesión con 8,92 les.*1000h. de exposición, siendo ésta mayor en competición (41,33 les.*1000h.) que en entrenamiento (6,02 les.*1000h.), valores muy acordes a los encontrados en la literatura científica especifica. Se registraron un promedio de 81 lesiones que causaron baja por equipo y temporada, provocando una ausencia media por lesión de 11,3 días. De estas lesiones, el 11,9% de ellas fueron de carácter recidivante, las cuales causaron periodos de baja superiores a las lesiones iníciales, alcanzando un valor promedio de 17,9 días de baja por lesión. El 84,4% las lesiones que se registraron, se localizaron en la extremidad inferior, siendo el muslo, con un 30,5% de todas las lesiones, la región corporal más afectada. A su vez, dentro del muslo, el 53% de las lesiones se localizaron en la región posterior, dentro de la cual, en el 73% de los casos la lesión afectó al bíceps femoral. Además, se encontró una mayor frecuencia de lesión en la pierna dominante (54,4% de las todas las lesiones) frente a la no dominante (36,5% de las todas las lesiones). Desde el punto de vista de la tipología de la lesión, las lesiones de carácter muscular con un 49,1% de los casos, fueron las más frecuentes, seguidas de las lesiones ligamentosas con un 15,1% de los casos. Los mecanismos de producción de lesiones en el jugador sin contacto, fueron más frecuentes (69,1% de todos los casos), que aquellos mecanismos de lesión en los que si hubo contacto (30,9%). En relación al momento de producción de lesión a lo largo de la temporada, se encontró que las lesiones sufridas en entrenamiento fueron progresivamente menos frecuentes con el transcurso de la temporada, mientras que en la competición se fueron incrementando, siendo los últimos meses de la temporada cuando se registraron la mayor parte de las lesiones. A partir de este estudio, proponemos ampliar la investigación en esta línea, concretando algunos de los aspectos que hemos podido identificar a través de nuestros resultados, y que en un futuro puedan tener alguna aplicación práctica en el objetivo común de reducir la incidencia de lesión existente en la práctica deportiva del fútbol. ABSTRACT Football has been described in literature as a sport in which there is a high incidence of injuries. Nevertheless, in Spain, to date, not a single study analyzing the incidence of lesions in professional football players has been carried out. In order to prevent lesions, in the first place we must identify the magnitude of the problem, as well as discover those factors that may influence on the production of lesions, being the latter the main objective of our study, and hence, starting from this point, be able to design and introduce in sports practice preventive measures with the aim of decreasing the incidence of lesions. We must take into consideration that we are before a study characterized by the fact of not having a previous hypothesis. In the present study, our main areas of focus is finding out the different factors that have influence on the possibility of suffering a lesion in this sports practice, as well as carrying out an analysis that describes the lesions suffered in professional football, as well as the necessary recovery periods. 27 teams (728 players), belonging to Spain’s First and Second Football (soccer) Divisions took part in this research. During the 2008-2009 season, a total of 2,184 lesions were registered. To register the lesions, a REINLE questionnaire, of the LEFUTPRO database was used, with access via internet. Each of the participating teams was given a password in a totally confidential manner. In the first place, we found that in the practice of professional football there exists a high incidence of lesions, with 8.92 lesions per 1000 h. of exposure. We found an increase in lesions during competitions (41.33 lesions per 1000 h.) with respect to those occurring during training (6.02 lesions per 1000 h.); these values being in accordance with those found in specific scientific literature. An average of 81 lesions that implied sick leaves were registered per team and season, causing an average of 11.3 days of absence per lesion. Of these, 11.9% of all the lesions studied were recurrent, causing longer sick leave periods than the ones due to the initial lesions and reaching an average of 17.9 days of sick leave per lesion. 84.4% of the lesions registered were located in the inferior extremities, the thigh being the anatomical region, with 30.5% of all the lesions, the most affected body region. In turn, 53% of the lesions to the thigh occurred in the posterior area, and within the latter, in 73% of the cases, the lesion affected the femoral biceps. In addition, we found a greater frequency of lesions in the dominant leg (54.4% of all the lesions), in contrast with the non dominant leg (36.5% of all the lesions). From the point of view of lesion type the most frequent lesions were muscular (49.1% of all cases), followed by ligament lesions (15.1%). Most of the lesions were produced during moments in which the players were not in physical contact at the moment of suffering the injury (69.1%), in comparison with those produced when there was physical contact (30.9%). With relation to the instance in which the injuries were produced along the season, we found that those lesions suffered during training were progressively less frequent as the season wore on, whilst those suffered during competitions gradually incremented, being the last months of the season when most of the injuries were registered. From the research of this study, we propose the need to carry out more research in this same line, focalizing on some more concrete aspects, which, through our results, we have been able to realize that would be interesting to study in greater depth, and that in the future, our results may have a practical application, helping reduce the incidence of injuries that exist in this sport practice.

Metodología de evaluación de la seguridad vial en intersecciones basada en el análisis cuantitativo de conflictos entre vehículos

El modo tradicional de estimar el nivel de seguridad vial es el registro de accidentes de tráfico, sin embargo son altamente variables, aleatorios y necesitan un periodo de registro de al menos 3 años. Existen metodologías preventivas en las cuales no es necesario que ocurra un accidente para determinar el nivel de seguridad de una intersección, como lo es la técnica de los conflictos de tráfico, que introduce las mediciones alternativas de seguridad como cuantificadoras del riesgo de accidente. El objetivo general de la tesis es establecer una metodología que permita clasificar el riesgo en intersecciones interurbanas, en función del análisis de conflictos entre vehículos, realizado mediante las variables alternativas o indirectas de seguridad vial. La metodología para el análisis y evaluación temprana de la seguridad en una intersección, estará basada en dos medidas alternativas de seguridad: el tiempo hasta la colisión y el tiempo posterior a la invasión de la trayectoria. El desarrollo experimental se realizó mediante estudios de campo, para la parte exploratoria de la investigación, se seleccionaron 3 intersecciones interurbanas en forma de T donde se obtuvieron las variables que caracterizan los conflictos entre vehículos; luego mediante técnicas de análisis multivariante, se obtuvo los modelos de clasificación del riesgo cualitativo y cuantitativo. Para la homologación y el estudio final de concordancia entre el índice propuesto y el modelo de clasificación, se desarrollaron nuevos estudios de campo en 6 intersecciones interurbanas en forma de T. El índice de riesgo obtenido resulta una herramienta muy útil para realizar evaluaciones rápidas conducentes a estimar la peligrosidad de una intersección en T, debido a lo simple y económico que resulta obtener los registros de datos en campo, por medio de una rápida capacitación a operarios; la elaboración del informe de resultados debe ser por un especialista. Los índices de riesgo obtenidos muestran que las variables originales más influyentes son las mediciones de tiempo. Se pudo determinar que los valores más altos del índice de riesgo están relacionados a un mayor riesgo de que un conflicto termine en accidente. Dentro de este índice, la única variable cuyo aporte es proporcionalmente directo es la velocidad de aproximación, lo que concuerda con lo que sucede en un conflicto, pues una velocidad excesiva se manifiesta como un claro factor de riesgo ya que potencia todos los fallos humanos en la conducción. Una de las principales aportaciones de esta tesis doctoral a la ingeniería de carreteras, es la posibilidad de aplicación de la metodología por parte de administraciones de carreteras locales, las cuales muchas veces cuentan con recursos de inversión limitados para efectuar estudios preventivos, sobretodo en países en vías de desarrollo. La evaluación del riesgo de una intersección luego de una mejora en cuanto a infraestructura y/o dispositivos de control de tráfico, al igual que un análisis antes – después, pero sin realizar una comparación mediante la ocurrencia de accidentes, sino que por medio de la técnica de conflictos de tráfico, se puede convertir en una aplicación directa y económica. Además, se pudo comprobar que el análisis de componentes principales utilizado en la creación del índice de riesgo de la intersección, es una herramienta útil para resumir todo el conjunto de mediciones que son posibles de obtener con la técnica de conflictos de tráfico y que permiten el diagnóstico del riesgo de accidentalidad en una intersección. En cuanto a la metodología para la homologación de los modelos, se pudo establecer la validez y confiabilidad al conjunto de respuestas entregadas por los observadores en el registro de datos en campo, ya que los resultados de la validación establecen que la medición de concordancia de las respuestas entregadas por los modelos y lo observado, son significativas y sugieren una alta coincidencia entre ellos. ABSTRACT The traditional way of estimating road safety level is the record of occurrence of traffic accidents; however, they are highly variable, random, and require a recording period of at least three years. There are preventive methods which do not need an accident to determine the road safety level of an intersection, such as traffic conflict technique, which introduces surrogate safety measures as parameters for the evaluation of accident risks. The general objective of the thesis is to establish a methodology that will allow the classification of risk at interurban intersections as a function of the analysis of conflicts between vehicles performed by means of surrogate road safety variables. The proposal of a methodology for the analysis and early evaluation of safety at an intersection will be based on two surrogate safety measures: the time to collision and the post encroachment time. On the other hand, the experimental development has taken place by means of field studies in which the exploratory part of the investigation selected three interurban T-intersections where the application of the traffic conflict technique gave variables that characterize the conflicts between vehicles; then, using multivariate analysis techniques, the models for the classification of qualitative and quantitative risk were obtained. With the models new field studies were carried out at six interurban Tintersections with the purpose of developing the homologation and the final study of the agreement between the proposed index and the classification model. The risk index obtained is a very useful tool for making rapid evaluations to estimate the hazard of a T-intersection, as well as for getting simply and economically the field data records after a fast training of the workers and then preparing the report of results by a specialist. The risk indices obtained show that the most influential original variables are the measurements of time. It was determined that the highest risk index values are related with greater risk of a conflict resulting in an accident. Within this index, the only variable whose contribution is proportionally direct is the approach speed, in agreement with what happens in a conflict, because excessive speed appears as a clear risk factor at an intersection because it intensifies all the human driving faults. One of the main contributions of this doctoral thesis to road engineering is the possibility of applying the methodology by local road administrations, which very often have limited investment resources to carry out these kinds of preventive studies, particularly in developing countries. The evaluation of the risk at an intersection after an improvement in terms of infrastructure and/or traffic control devices, the same as a before/after analysis, without comparison of accident occurrence but by means of the traffic conflict technique, can become a direct and economical application. It is also shown that main components analysis used for producing the risk index of the intersection is a useful tool for summarizing the whole set of measurements that can be obtained with the traffic conflict technique and allow diagnosing accident risk at an intersection. As to the methodology for the homologation of the models, the validity and reliability of the set of responses delivered by the observers recording the field data could be established, because the results of the validation show that agreement between the observations and the responses delivered by the models is significant and highly coincident.

Safety and health in forest harvesting operations. Diagnosis and preventive actions. A review

Aim of study: to review the present state of the art in relation to the main labour risks and the most relevant results of recent studies evaluating the safety and health conditions of the forest harvesting work and better ways to reduce accidents. Area of study: It focuses mainly on developed Countries, where the general concern about work risks prevention, together with the complex idiosyncrasy of forest work in forest harvesting operations, has led to a growing interest from the forest scientific and technical community. Material and Methods: The main bibliographic and Internet references have been identified using common reference analysis tools. Their conclusions and recommendations have been comprehensively summarized. Main results: Collection of the principal references and their most important conclusions relating to the main accident risk factors, their causes and consequences, the means used towards their prevention, both instrumental as well as in the aspects of training and business management, besides the influence of the growing mechanization of logging operations on those risks. Research highlights: Accident risk is higher in forest harvesting than in most other work sectors, and the main risk factors such as experience, age, seasonality, training, protective equipment, mechanization degree, etc. have been identified and studied. The paper summarizes some relevant results, one of the principal being that the proper entrepreneurial risk management is a key factor leading to the success in minimizing labour risks..

Bayesian model selection of structural explanatory models: Application to road accident data

Using the Bayesian approach as the model selection criteria, the main purpose in this study is to establish a practical road accident model that can provide a better interpretation and prediction performance. For this purpose we are using a structural explanatory model with autoregressive error term. The model estimation is carried out through Bayesian inference and the best model is selected based on the goodness of fit measures. To cross validate the model estimation further prediction analysis were done. As the road safety measures the number of fatal accidents in Spain, during 2000-2011 were employed. The results of the variable selection process show that the factors explaining fatal road accidents are mainly exposure, economic factors, and surveillance and legislative measures. The model selection shows that the impact of economic factors on fatal accidents during the period under study has been higher compared to surveillance and legislative measures.