A Study of Radon in Air and Water in Maine Schools

The transfer coefficient of radon from water to air was investigated in schools. Kitchens, bathrooms and locker rooms were studied for seven schools in Maine. Simulations were done in water-use rooms where radon in air detectors were in place. Quantities measured were radon in water (270-24500 F) and air (0-80 q), volume of water used, emissivities (0.01-0.99) and ventilation rates (0.012-0.066A). Variation throughout the room of the radon concentration was found. Values calculated for the transfer coefficient for kitchens and baths were ranged from 9.6 x to 2.0 x The transfer coefficient was calculated using these parameters and was also measured using concentrations of radon in water and air. This provides a means by which radon in air can be estimated using the transfer coefficient and the concentration in the water in other schools and it can be used to estimate the dose caused by radon released from water use. This project was partially funded by the United States Environmental Protection Agency (grant #X828l2 101-0) and by the State of Maine (grant #10A500178). These are the first measurements of this type to be done in schools in the United States.

The role of municipalities in air toxics regulation: The Houston experience

The federal regulatory regime for addressing airborne toxic pollutants functions fairly well in most of the country. However, it has proved deficient in addressing local risk issues, especially in urban areas with densely concentrated sources. The problem is especially pronounced in Houston, which is home to one of the world's biggest petrochemical complexes and a major port, both located near a large metropolitan center. Despite the fact that local government's role in regulating air toxics is typically quite limited, from 2004-2009, the City of Houston implemented a novel municipality-based air toxics reduction strategy. The initiatives ranged from voluntary agreements to litigation and legislation. This case study considers why the city chose the policy tools it did, how the tools performed relative to the designers' intentions, and how the debate among actors with conflicting values and goals shaped the policy landscape. The city's unconventional approach to controlling hazardous air pollution has not yet been examined rigorously. The case study was developed through reviews of publicly available documents and quasi-public documents obtained through public record requests, as well as interviews with key informants. The informants represented a range of experience and perspectives. They included current and former public officials at the city (including Mayor White), former Texas Commission on Environmental Quality staff, faculty at local universities, industry representatives, and environmental public health advocates. Some of the city's tools were successful in meeting their designers' intent, some were less successful. Ultimately, even those tools that did not achieve their stated purpose were nonetheless successful in bringing attention and resources to the air quality issue. Through a series of pleas and prods, the city managed to draw attention to the problem locally and get reluctant policymakers at higher levels of government to respond. This work demonstrates the potential for local government to overcome limitations in the federal regulatory regime for air toxics control, shifting the balance of local, state, and federal initiative. It also highlights the importance of flexible, cooperative strategies in local environmental protection.^

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.

PAH occurrence during combustion of biodiesel from various feedstocks

PAHs are pollutants of concern since they are known carcinogenic compounds. Their occurrence is mainly related to combustion or pyrolysis of organic matter such as fossil fuels. In the current scenario where biofuels are growingly important, it is also necessary to characterize PAH emissions due to their combustion. There are a number of works concerning PAH emissions from biodiesel combustion in Diesel engines, however, there are few regarding the difference between them depending on the feedstock and type of alcohol used in the transesterification. The authors have processed and characterized biodiesel from several feedstocks (Le. tallow, palm, rapeseed, soy-bean, coconut, peanut and linseed oils) to obtain FAME and FAEE and they have developed a method to measure the PAHs originated during their combustion in a bomb calorimeter. The tests have been carried out under different oxygen pressure conditions, and samples have been c1eaned from the bomb after each one of these tests. The samples have been prepared for GC-MS analysis, where PAH quantities among some other combustion products have been assessed. This work shows statistical relations obtained between the measured amounts of 18 PAHs of concern and the composition (oil and type of alcohol) used to obtain the biodiesel, and also the oxygen pressure during combustion.

Nueva tecnología para la separación de gases atmosféricos y captura de dióxido de carbono por aplicación de campos electromagnéticos y fotoionización

Son numerosos los expertos que predicen que hasta pasado 2050 no se utilizarán masivamente las energías de origen renovable, y que por tanto se mantendrá la emisión de dióxido de carbono de forma incontrolada. Entre tanto, y previendo que este tipo de uso se mantenga hasta un horizonte temporal aún más lejano, la captura, concentración y secuestro o reutilización de dióxido de carbono es y será una de las principales soluciones a implantar para paliar el problema medioambiental causado. Sin embargo, las tecnologías existentes y en desarrollo de captura y concentración de este tipo de gas, presentan dos limitaciones: las grandes cantidades de energía que consumen y los grandes volúmenes de sustancias potencialmente dañinas para el medioambiente que producen durante su funcionamiento. Ambas razones hacen que no sean atractivas para su implantación y uso de forma extensiva. La solución planteada en la presente tesis doctoral se caracteriza por la ausencia de residuos producidos en la operación de captura y concentración del dióxido de carbono, por no utilizar substancias químicas y físicas habituales en las técnicas actuales, por disminuir los consumos energéticos al carecer de sistemas móviles y por evitar la regeneración química y física de los materiales utilizados en la actualidad. Así mismo, plantea grandes retos a futuras innovaciones sobre la idea propuesta que busquen fundamentalmente la disminución de la energía utilizada durante su funcionamiento y la optimización de sus componentes principales. Para conseguir el objetivo antes citado, la presente tesis doctoral, una vez establecido el planteamiento del problema al que se busca solución (capítulo 1), del estudio de las técnicas de separación de gases atmosféricos utilizadas en la actualidad, así como del de los sistemas fundamentales de las instalaciones de captura y concentración del dióxido de carbono (capítulo 2) y tras una definición del marco conceptual y teórico (capítulo 3), aborda el diseño de un prototipo de ionización fotónica de los gases atmosféricos para su posterior separación electrostática, a partir del estudio, adaptación y mejora del funcionamiento de los sistemas de espectrometría de masas. Se diseñarán y desarrollarán los sistemas básicos de fotoionización, mediante el uso de fuentes de fotones coherentes, y los de separación electrostática (capítulo 4), en que se basa el funcionamiento de este sistema de separación de gases atmosféricos y de captura y concentración de dióxido de carbono para construir un prototipo a nivel laboratorio. Posteriormente, en el capítulo 5, serán probados utilizando una matriz experimental que cubra los rangos de funcionamiento previstos y aporte suficientes datos experimentales para corregir y desarrollar el marco teórico real, y con los que se pueda establecer y corregir un modelo físico– matemático de simulación (capítulo 6) aplicable a la unidad en su conjunto. Finalmente, debido a la utilización de unidades de ionización fotónica, sistemas láseres intensos y sistemas eléctricos de gran potencia, es preciso analizar el riesgo biológico a las personas y al medioambiente debido al impacto de la radiación electromagnética producida (capítulo 7), minimizando su impacto y cumpliendo con la legislación vigente. En el capítulo 8 se planteará un diseño escalable a tamaño piloto de la nueva tecnología propuesta y sus principales modos de funcionamiento, así como un análisis de viabilidad económica. Como consecuencia de la tesis doctoral propuesta y del desarrollo de la unidad de separación atmosférica y de captura y concentración de dióxido de carbono, surgen diversas posibilidades de estudio que pueden ser objeto de nuevas tesis doctorales y de futuros desarrollos de ingeniería. El capítulo 9 tratará de incidir en estos aspectos indicando líneas de investigación para futuras tesis y desarrollos industriales. ABSTRACT A large number of experts predict that until at least 2050 renewable energy sources will not be massively used, and for that reason, current Primary Energy sources based on extensive use of fossil fuel will be used maintaining out of control emissions, Carbon Dioxide above all. Meanwhile, under this scenario and considering its extension until at least 2050, Carbon Capture, Concentration, Storage and/or Reuse is and will be one of the main solutions to minimise Greenhouse Gasses environmental effect. But, current Carbon Capture and Storage technology state of development has two main problems: it is a too large energy consuming technology and during normal use it produces a large volume of environmentally dangerous substances. Both reasons are limiting its development and its extensive use. This Ph Degree Thesis document proposes a solution to get the expected effect using a new atmospheric gasses separation system with the following characteristics: absence of wastes produced, it needs no chemical and/or physical substances during its operation, it reduces to minimum the internal energy consumptions due to absence of mobile equipment and it does not need any chemical and/or physical regeneration of substances. This system is beyond the State of the Art of current technology development. Additionally, the proposed solution raises huge challenges for future innovations of the proposed idea finding radical reduction of internal energy consumption during functioning, as well as regarding optimisation of main components, systems and modes of operation. To achieve this target, once established the main problem, main challenge and potential solving solutions (Chapter 1), it is established an initial starting point fixing the Atmospheric Gasses Separation and Carbon Capture and Storage developments (Chapter 2), as well as it will be defined the theoretical and basic model, including existing and potential new governing laws and mathematical formulas to control its system functioning (Chapter 3), this document will deal with the design of an installation of an operating system based on photonic ionization of atmospheric gasses to be separated in a later separation system based on the application of electrostatic fields. It will be developed a basic atmospheric gasses ionization prototype based on intense radioactive sources capable to ionize gasses by coherent photonic radiation, and a basic design of electrostatic separation system (Chapter 4). Both basic designs are the core of the proposed technology that separates Atmospheric Gasses and captures and concentrates Carbon Dioxide. Chapter 5 will includes experimental results obtained from an experimental testing matrix covering expected prototype functioning regimes. With the obtained experimental data, theoretical model will be corrected and improved to act as the real physical and mathematical model capable to simulate real system function (Chapter 6). Finally, it is necessary to assess potential biological risk to public and environment due to the proposed use of units of intense energy photonic ionization, by laser beams or by non–coherent sources and large electromagnetic systems with high energy consumption. It is necessary to know the impact in terms of and electromagnetic radiation taking into account National Legislation (Chapter 7). On Chapter 8, an up scaled pilot plant will be established covering main functioning modes and an economic feasibility assessment. As a consequence of this PhD Thesis, a new field of potential researches and new PhD Thesis are opened, as well as future engineering and industrial developments (Chapter 9).

Planning and Management of Mobility in Natural Protected Areas

The paper describes some relevant results of an on-going research aiming to elaborate a methodology to help the mobility management in natural parks, compatible with their protection missions: it has been developed a procedure to reproduce the mobility-environment relationships in various operational conditions. The final purpose is the identification of: a) the effects of various choices in transport planning, both at long term and strategic level; b) the most effective policies of mobility management. The work is articulated in the following steps: 1) definition of protected area on the basis of ecological and socio-economic criteria and legislative constraints; 2) analysis of mobility needs in the protected areas; 3) reconstruction of the state of the art of mobility management in natural parks at European level; 4) analysis of used traffic flows measurement methods; 5) analysis of environmental impacts due to transport systems modelling (air pollution and noise only); 6) identification of mitigation measures to be potentially applied. The whole methodology has been tested and validated on Italian case studies: i) the concerned area has been zoned according to the land-use peculiarities; ii) the local situations of transport infrastructure (roads and parking), services (public transport systems) and rules (traffic regulations) have been mapped with references to physical and functional attributes; iii) the mobility, both systematic and touristic, has been represented in an origin-destination matrix. By means of an assignment model the flows have been distributed and the corresponding average speeds to quantify gaseous and noise emissions was calculated, the criticalities in the reference scenario have been highlighted, as well as some alternative scenarios, including both operational and infrastructural measures have been identified. The comparison between projects and reference scenario allowed the quantification of effects (variation of emissions) for each scenario and a selection of the most effective management actions to be taken.

Planning and management of mobility in natural protected areas

The final purpose is the identification of: a) the effects of various choices in transport planning, both at long term and strategic level; b) the most effective policies of mobility management. The preliminary work was articulated in the following steps: 1) definition of protected area on the basis of ecological and socio-economic criteria and legislative constraints; 2) analysis of mobility needs in the protected areas; 3) reconstruction of the state of the art of mobility management in natural parks at European level; 4) analysis of used traffic flows measurement methods; 5) analysis of environmental impacts due to transport systems modelling (limited to air pollution and noise); 6) identification of mitigation measures to the potentially applied. The whole methodology has been firstly tested on the case study of the National Park of ?Gran Sasso and Monti della Laga? and further validated on the National Park of ?Gargano?, both located Italy: i) the concerned area has been zoned according to the land-use peculiarities; ii) the local situations of transport infrastructure (roads and parking), services (public transport systems) and rules (traffic regulations) have been mapped with references to physical and functional attributes; iii) the mobility, both systematic and touristic, has been synthetically represented in an origin-destination matrix. By means of an assignment model it has been determined the distribution of flows and the corresponding average speeds to quantify gaseous and noise emissions. On this basis the environmental criticalities in the reference scenario have been highlighted, as well as some alternative scenarios including both operational and infrastructural measures have been identified. The comparison between the projects and the reference scenario allowed the quantification of the effects (variation of emissions) for each scenario and a selection of the most effective management actions to be taken.

Impact assessment of an integrated approach for thermal power generation plants asset management in the current energy market

El sector energético, en España en particular, y de forma similar en los principales países de Europa, cuenta con una significativa sobrecapacidad de generación, debido al rápido y significativo crecimiento de las energías renovables en los últimos diez años y la reducción de la demanda energética, como consecuencia de la crisis económica. Esta situación ha hecho que las centrales térmicas de generación de electricidad, y en concreto los ciclos combinados de gas, operen con un factor de utilización extremadamente bajo, del orden del 10%. Además de la reducción de ingresos, esto supone para las plantas trabajar continuamente fuera del punto de diseño, provocando una significativa pérdida de rendimiento y mayores costes de explotación. En este escenario, cualquier contribución que ayude a mejorar la eficiencia y la condición de los equipos, es positivamente considerada. La gestión de activos está ganando relevancia como un proceso multidisciplinar e integrado, tal y como refleja la reciente publicación de las normas ISO 55000:2014. Como proceso global e integrado, la gestión de activos requiere el manejo de diversos procesos y grandes volúmenes de información, incluso en tiempo real. Para ello es necesario utilizar tecnologías de la información y aplicaciones de software. Esta tesis desarrolla un concepto integrado de gestión de activos (Integrated Plant Management – IPM) aplicado a centrales de ciclo combinado y una metodología para estimar el beneficio aportado por el mismo. Debido a las incertidumbres asociadas a la estimación del beneficio, se ha optado por un análisis probabilístico coste-beneficio. Así mismo, el análisis cuantitativo se ha completado con una validación cualitativa del beneficio aportado por las tecnologías incorporadas al concepto de gestión integrada de activos, mediante una entrevista realizada a expertos del sector de generación de energía. Los resultados del análisis coste-beneficio son positivos, incluso en el desfavorable escenario con un factor de utilización de sólo el 10% y muy prometedores para factores de utilización por encima del 30%. ABSTRACT The energy sector particularly in Spain, and in a similar way in Europe, has a significant overcapacity due to the big growth of the renewable energies in the last ten years, and it is seriously affected by the demand decrease due to the economic crisis. That situation has forced the thermal plants and in particular, the combined cycles to operate with extremely low annual average capacity factors, very close to 10%. Apart from the incomes reduction, working in out-of-design conditions, means getting a worse performance and higher costs than expected. In this scenario, anything that can be done to improve the efficiency and the equipment condition is positively received. Asset Management, as a multidisciplinary and integrated process, is gaining prominence, reflected in the recent publication of the ISO 55000 series in 2014. Dealing Asset Management as a global, integrated process needs to manage several processes and significant volumes of information, also in real time, that requires information technologies and software applications to support it. This thesis proposes an integrated asset management concept (Integrated Plant Management-IPM) applied to combined cycle power plants and develops a methodology to assess the benefit that it can provide. Due to the difficulties in getting deterministic benefit estimation, a statistical approach has been adopted for the cot-benefit analysis. As well, the quantitative analysis has been completed with a qualitative validation of the technologies included in the IPM and their contribution to key power plant challenges by power generation sector experts. The cost- benefit analysis provides positive results even in the negative scenario of annual average capacity factor close to 10% and is promising for capacity factors over 30%.

Caracterización de la ventilación en la edificación residencial existente. Conciliación entre calidad del aire interior y eficiencia en la rehabilitación energética

La edificación residencial existente en España y en Europa se encuentra abocada a una rehabilitación profunda para cumplir los objetivos marcados en la estrategia europea para el año 2050. Estos, para el sector de la edificación, se proponen una reducción del 90% de emisiones de gases de efecto invernadero (GEI) respecto a niveles del año 1990. Este plan a largo plazo establece hitos intermedios de control, con objetivos parciales para el año 2020 y 2030. El objetivo último es aprovechar el potencial de reducción de demanda energética del sector de la edificación, del cual la edificación residencial supone el 85% en España. Dentro de estos requerimientos, de reducción de demanda energética en la edificación, la ventilación en la edificación residencial se convierte en uno de los retos a resolver por su vinculación directa a la salud y el confort de los ocupantes de la misma, y al mismo tiempo su relación proporcional con la demanda energética que presenta el edificio asociada al acondicionamiento térmico. Gran parte de las pérdidas térmicas de la edificación residencial se producen por el aire de renovación y la infiltración de aire a través de la envolvente. La directiva europea de eficiencia energética de la edificación (EPBD), que establece las directrices necesarias para alcanzar los objetivos de este sector en cuanto a emisiones de CO2 y gases de efecto invernadero (GEI), contempla la ventilación con aire limpio como un requisito fundamental a tener en cuenta de cara a las nuevas construcciones y a la rehabilitación energética de los edificios existentes. El síndrome del edificio enfermo, un conjunto de molestias y síntomas asociados a la baja calidad del aire de edificios no residenciales que surgió a raíz de la crisis del petróleo de 1973, tuvo su origen en una ventilación deficiente y una renovación del aire interior insuficiente de estos edificios, producto del intento de ahorro en la factura energética. Teniendo en cuenta que, de media, pasamos un 58% de nuestro tiempo en las viviendas, es fundamental cuidar la calidad del aire interior y no empeorarla aplicando medidas de “eficiencia energética” con efectos no esperados. Para conseguir esto es fundamental conocer en profundidad cómo se produce la ventilación en la edificación en bloque en España en sus aspectos de calidad del aire interior y demanda energética asociada a la ventilación. El objetivo de esta tesis es establecer una metodología de caracterización y de optimización de las necesidades de ventilación para los espacios residenciales existentes en España que aúne el doble objetivo de garantizar la calidad ambiental y reducir la demanda energética de los mismos. La caracterización del parque edificatorio residencial español en cuanto a ventilación es concluyente: La vivienda en España se distribuye principalmente en tres periodos en los que se encuentran más del 80% del total de las viviendas construidas. El periodo anterior a las normas básicas de la edificación (NBE), de 1960 a 1980, el periodo desde 1980 al año 2005, con el mayor número total de viviendas construidas, guiado por la NTE ISV 75, y el periodo correspondiente a la edificación construida a partir del Código Técnico de la Edificación, en 2006, cuyo documento básico de condiciones de salubridad (DB HS3) es la primera norma de obligado cumplimiento en diseño y dimensionamiento de ventilación residencial en España. La selección de un modelo de bloque de viviendas de referencia, un valor medio y representativo, seleccionado de entre estos periodos, pero con cualidades que se extienden más allá de uno de ellos, nos permite realizar un intensivo análisis comparativo de las condiciones de calidad de aire interior y la demanda energética del mismo, aplicando las distintas configuraciones que presenta la ventilación en viviendas dependiendo del escenario o época constructiva (o normativa) en que esta fuera construida. Este análisis se lleva a cabo apoyándose en un doble enfoque: el modelado numérico de simulaciones y el análisis de datos experimentales, para comprobar y afinar los modelos y observar la situación real de las viviendas en estos dos aspectos. Gracias a las conclusiones del análisis previo, se define una estrategia de optimización de la ventilación basada fundamentalmente en dos medidas: 1) La introducción de un sistema de extracción mecánica y recuperación de calor que permita reducir la demanda energética debida a la renovación del aire y a la vez diluir los contaminantes interiores más eficazmente para mejorar, de esta forma, la calidad del ambiente interior. 2) La racionalización del horario de utilización de estos sistemas, no malgastando la energía en periodos de no ocupación, permitiendo una leve ventilación de fondo, debida a la infiltración, que no incida en pérdidas energéticas cuantiosas. A esta optimización, además de aplicar la metodología de análisis previo, en cuanto a demanda energética y calidad del aire, se aplica una valoración económica integradora y comparativa basada en el reglamento delegado EU244/2012 de coste óptimo (Cost Optimal Methodology). Los resultados principales de esta tesis son: • Un diagnóstico de la calidad del aire interior de la edificación residencial en España y su demanda energética asociada, imprescindible para lograr una rehabilitación energética profunda garantizando la calidad del aire interior. • Un indicador de la relación directa entre calidad de aire y demanda energética, para evaluar la adecuación de los sistemas de ventilación, respecto de las nuevas normativas de eficiencia energética y ventilación. • Una estrategia de optimización, que ofrece una alternativa de intervención, y la aplicación de un método de valoración que permite evaluar la amortización comparada de la instalación de los sistemas. ABSTRACT The housing building stock already built in Spain and Europe faces a deep renovation in the present and near future to accomplish with the objectives agreed in the European strategy for 2050. These objectives, for the building sector, are set in a 90% of Green House Gases (GHG) reduction compared to levels in 1990. This long‐term plan has set milestones to control the correct advance of achievement in 2020 and 2030. The main objective is to take advantage of the great potential to reduce energy demand from the building sector, in which housing represents 85% share in Spain. Among this reduction on building energy demand requirements, ventilation of dwellings becomes one of the challenges to solve as it’s directly connected to the indoor air quality (IAQ) and comfort conditions for the users, as well as proportional to the building energy demand on thermal conditioning. A big share of thermal losses in housing is caused by air renovation and infiltration through the envelope leaks. The European Directive on Building energy performance (EPBD), establishes the roots needed to reach the building sector objectives in terms of CO2 and GHG emissions. This directive sets the ventilation and renovation with clean air of the new and existing buildings as a fundamental requirement. The Sick Building Syndrome (SBS), an aggregation of symptoms and annoys associated to low air quality in non residential buildings, appeared as common after the 1973 oil crisis. It is originated in defective ventilation systems and deficient air renovation rates, as a consequence of trying to lower the energy bill. Accounting that we spend 58% of our time in dwellings, it becomes crucial to look after the indoor air quality and focus in not worsening it by applying “energy efficient” measures, with not expected side effects. To do so, it is primary to research in deep how the ventilation takes place in the housing blocks in Spain, in the aspects related to IAQ and ventilation energy demand. This thesis main objective is to establish a characterization and optimization methodology regarding the ventilation needs for existing housing in Spain, considering the twofold objective of guaranteeing the air quality as reducing the energy demand. The characterization of the existing housing building stock in Spain regarding ventilation is conclusive. More of 80% of the housing stock is distributed in 3 main periods: before the implementation of the firsts regulations on building comfort conditions (Normas Básicas de la Edificación), from 1960 to 1980; the period after the first recommendations on ventilation (NTE ISV 75) for housing were set, around 1980 until 2005 and; the period corresponding to the housing built after the existing mandatory regulation in terms of indoor sanity conditions and ventilation (Spanish Building Code, DB HS3) was set, in 2006. Selecting a representative blueprint of a housing block in Spain, which has medium characteristics not just within the 3 periods mention, but which qualities extent beyond the 3 of them, allows the next step, analyzing. This comparative and intense analyzing phase is focused on the air indoor conditions and the related energy demand, applying different configurations to the ventilation systems according to the different constructive or regulation period in which the building is built. This analysis is also twofold: 1) Numerical modeling with computer simulations and 2) experimental data collection from existing housing in real conditions to check and refine the models to be tested. Thanks to the analyzing phase conclusions, an optimization strategy on the ventilation of the housing stock is set, based on two actions to take: 1) To introduce a mechanical exhaust and intake ventilation system with heat recovery that allows reducing energy demand, as improves the capacity of the system to dilute the pollutant load. This way, the environmental quality is improved. 2) To optimize the schedule of the system use, avoids waste of energy in no occupancy periods, relying ventilation during this time in a light infiltration ventilation, intended not to become large and not causing extra energy losses. Apart from applying the previous analyzing methodology to the optimization strategy, regarding energy demand and air quality, a ROI valorization is performed, based on the cost optimal methodology (delegated regulation EU244/2012). The main results from the thesis are: • To obtain a through diagnose regarding air quality and energy demand for the existing housing stock in Spain, unavoidable to reach a energy deep retrofitting scheme with no air quality worsening. • To obtain a marker to relate air quality and energy demand and evaluate adequateness of ventilation systems, for the new regulations to come. • To establish an optimization strategy to improve both air quality and energy demand, applying a compared valorization methodology to obtain the Return On Investment (ROI).

A methodology to estimate uncertainty for emission projections through sensitivity analysis

Air pollution abatement policies must be based on quantitative information on current and future emissions of pollutants. As emission projections uncertainties are inevitable and traditional statistical treatments of uncertainty are highly time/resources consuming, a simplified methodology for nonstatistical uncertainty estimation based on sensitivity analysis is presented in this work. The methodology was applied to the “with measures” scenario for Spain, concretely over the 12 highest emitting sectors regarding greenhouse gas and air pollutants emissions. Examples of methodology application for two important sectors (power plants, and agriculture and livestock) are shown and explained in depth. Uncertainty bands were obtained up to 2020 by modifying the driving factors of the 12 selected sectors and the methodology was tested against a recomputed emission trend in a low economic-growth perspective and official figures for 2010, showing a very good performance. Implications: A solid understanding and quantification of uncertainties related to atmospheric emission inventories and projections provide useful information for policy negotiations. However, as many of those uncertainties are irreducible, there is an interest on how they could be managed in order to derive robust policy conclusions. Taking this into account, a method developed to use sensitivity analysis as a source of information to derive nonstatistical uncertainty bands for emission projections is presented and applied to Spain. This method simplifies uncertainty assessment and allows other countries to take advantage of their sensitivity analyses.

Desert dust suppressing precipitation: A possible desertification feedback loop

The effect of desert dust on cloud properties and precipitation has so far been studied solely by using theoretical models, which predict that rainfall would be enhanced. Here we present observations showing the contrary; the effect of dust on cloud properties is to inhibit precipitation. Using satellite and aircraft observations we show that clouds forming within desert dust contain small droplets and produce little precipitation by drop coalescence. Measurement of the size distribution and the chemical analysis of individual Saharan dust particles collected in such a dust storm suggest a possible mechanism for the diminished rainfall. The detrimental impact of dust on rainfall is smaller than that caused by smoke from biomass burning or anthropogenic air pollution, but the large abundance of desert dust in the atmosphere renders it important. The reduction of precipitation from clouds affected by desert dust can cause drier soil, which in turn raises more dust, thus providing a possible feedback loop to further decrease precipitation. Furthermore, anthropogenic changes of land use exposing the topsoil can initiate such a desertification feedback process.

Como estamos indo? Estudo do deslocamento ativo no Brasil

Introdução: O deslocamento ativo tem estreita relação com problemas de saúde pública da atualidade e sua promoção pode contribuir para melhorias quanto à mobilidade urbana, estado de saúde e proteção do meio ambiente. Entretanto, a maior parte das pesquisas sobre o tema tem sido desenvolvida em países de renda alta. A presente tese busca ampliar a investigação sobre o deslocamento ativo no Brasil. Objetivos: i) Descrever a frequência, a distribuição e a variação temporal de indicadores do deslocamento ativo em populações brasileiras; ii) Avaliar o impacto de mudanças no padrão de transporte da população sobre o deslocamento ativo, o tempo sedentário e desfechos de saúde em populações brasileiras. Métodos: Tese composta por sete manuscritos. O primeiro apresenta revisão sistemática de estudos com informações sobre a prática de deslocamento ativo na América Latina e Caribe; o segundo descreve estimativas representativas da população brasileira sobre a prática de deslocamento ativo para o trabalho; o terceiro e o quarto descrevem a frequência e tendência temporal do deslocamento ativo na Região Metropolitana de São Paulo (ciclistas e escolares); o quinto discute a questão da mobilidade urbana e do direito à cidade em São Paulo; o sexto e o sétimo avaliam o impacto de mudanças no padrão de mobilidade da metrópole paulistana sobre a prática de deslocamento ativo, tempo não-ativo de deslocamento e tempo total de deslocamento, bem como sobre a poluição do ar e saúde da população. Resultados: A prevalência mediana de deslocamento ativo encontrada em diferentes locais do Brasil foi de 12 por cento , variando entre 5,1 por cento em Palmas (Tocantins) a 58,9 por cento em Rio Claro (São Paulo) (Manuscrito 1). Um terço dos homens e das mulheres desloca-se a pé ou de bicicleta de casa para o trabalho no país. Em ambos os sexos, esta proporção diminui com o aumento da renda e da escolaridade e é maior entre os mais jovens, entre os que residem em áreas rurais, e na região Nordeste. Em todas as regiões metropolitanas estudadas, o quinto das pessoas de menor renda apresenta uma maior frequência de deslocamento ativo (Manuscrito 2). Entre os anos de 2007 e 2012, observamos redução no número de ciclistas em São Paulo e diferenças expressivas na proporção de ciclistas entre homens e mulheres (9,7 por mil habitantes versus 1,4 por mil habitantes em 2012) (Manuscrito 3). Também verificamos uma queda na proporção de crianças que se deslocam ativamente para a escola entre os anos de 1997 e 2012 (Manuscrito 4). O cenário epidemiológico do deslocamento ativo no país é resultante da disputa pelo direito à cidade, com repercussões na transição de mobilidade humana e na saúde e qualidade de vida da população, como podemos observar no caso de São Paulo (Manuscrito 5). A construção de uma São Paulo mais inclusiva, com menores distâncias para os deslocamentos cotidianos e maior frequência de caminhada e bicicleta, levaria à substancial redução do tempo total e do tempo sedentário despendidos nos deslocamentos, sem diminuir a duração do deslocamento ativo (Manuscrito 6). Traria também ganhos à saúde da população, sobretudo pelo aumento da prática de atividade física e da redução da poluição do ar (Manuscrito 7). Conclusões: A prática de deslocamento ativo no Brasil apresenta marcadas diferenças segundo região e características sociodemográficas. De um modo geral, esta prática vem diminuindo no país, o que deve contribuir negativamente para a saúde da população. A promoção de cidades mais inclusivas e compactas, com o favorecimento a modos ativos de deslocamento, pode contribuir para reverter esta preocupante tendência.

Investigação do mecanismo cinético da reação de redução de oxigênio em solventes não aquosos

O aumento no consumo energético e a crescente preocupação ambiental frente à emissão de gases poluentes criam um apelo mundial favorável para pesquisas de novas tecnologias não poluentes de fontes de energia. Baterias recarregáveis de lítio-ar em solventes não aquosos possuem uma alta densidade de energia teórica (5200 Wh kg-1), o que as tornam promissoras para aplicação em dispositivos estacionários e em veículos elétricos. Entretanto, muitos problemas relacionados ao cátodo necessitam ser contornados para permitir a aplicação desta tecnologia, por exemplo, a baixa reversibilidade das reações, baixa potência e instabilidades dos materiais empregados nos eletrodos e dos solventes eletrolíticos. Assim, neste trabalho um modelo cinético foi empregado para os dados experimentais de espectroscopia de impedância eletroquímica, para a obtenção das constantes cinéticas das etapas elementares do mecanismo da reação de redução de oxigênio (RRO), o que permitiu investigar a influência de parâmetros como o tipo e tamanho de partícula do eletrocatalisador, o papel do solvente utilizado na RRO e compreender melhor as reações ocorridas no cátodo dessa bateria. A investigação inicial se deu com a utilização de sistemas menos complexos como uma folha de platina ou eletrodo de carbono vítreo como eletrodos de trabalho em 1,2-dimetoxietano (DME)/perclorato de lítio (LiClO4). A seguir, sistemas complexos com a presença de nanopartículas de carbono favoreceu o processo de adsorção das moléculas de oxigênio e aumentou ligeiramente (uma ordem de magnitude) a etapa de formação de superóxido de lítio (etapa determinante de reação) quando comparada com os eletrodos de platina e carbono vítreo, atribuída à presença dos grupos laterais mediando à transferência eletrônica para as moléculas de oxigênio. No entanto, foi observada uma rápida passivação da superfície eletrocatalítica através da formação de filmes finos de Li2O2 e Li2CO3 aumentando o sobrepotencial da bateria durante a carga (diferença de potencial entre a carga e descarga > 1 V). Adicionalmente, a incorporação das nanopartículas de platina (Ptnp), ao invés da folha de platina, resultou no aumento da constante cinética da etapa determinante da reação em duas ordens de magnitude, o qual pode ser atribuído a uma mudança das propriedades eletrônicas na banda d metálica em função do tamanho nanométrico das partículas, e estas modificações contribuíram para uma melhor eficiência energética quando comparado ao sistema sem a presença de eletrocatalisador. Entretanto, as Ptnp se mostraram não específicas para a RRO, catalisando as reações de degradação do solvente eletrolítico e diminuindo rapidamente a eficiência energética do dispositivo prático, devido ao acúmulo de material no eletrodo. O emprego de líquido iônico como solvente eletrolítico, ao invés de DME, promoveu uma maior estabilização do intermediário superóxido formado na primeira etapa de transferência eletrônica, devido à interação com os cátions do líquido iônico em solução, o qual resultou em um valor de constante cinética da formação do superóxido de três ordens de magnitude maior que o obtido com o mesmo eletrodo de carbono vítreo em DME, além de diminuir as reações de degradação do solvente. Estes fatores podem contribuir para uma maior potência e ciclabilidade da bateria de lítio-ar operando com líquidos iônicos.

Genetically Engineered Crops: A Study of Major Environmental Implications and U.S. Policy

The adoption of genetically modified crops is becoming evermore common in United States agriculture. However, this relatively new technology carries a negative stigma and perceived risks that have resulted commonly in public disapproval. In the United States, bioengineered crops are highly regulated. The significance of environmental benefits such as decreased chemical impact, increased soil conservation, heightened carbon sequestration, decreased energy demands, and reduced air emissions, are important enough to warrant a revision to U.S. policy. The U.S. policy structure needs to be simplified and made more efficient to better facilitate the speed with which new GE products can, and should, be developed while still providing adequate mitigation of potential environmental risks such as species invasiveness and impacts on non-target species.

Indoor air : reference bibliography.

"EPA/600/8-89/067F."