Combined use of gliadins and SSRs to analyse the genetic variability of the Spanish collection of cultivated diploid wheat (Triticum monococcum L. ssp. monococcum)

This work studied the combined use of gliadins and SSRs to analyse inter- and intra-accession variability of the Spanish collection of cultivated einkorn (Triticum monococcum L. ssp. monococcum) maintained at the CRF-INIA. In general, gliadin loci presented higher discrimination power than SSRs, reflecting the high variability of the gliadins. The loci on chromosome 6A were the most polymorphic with similar PIC values for both marker systems, showing that these markers are very useful for genetic variability studies in wheat. The gliadin results indicated that the Spanish einkorn collection possessed high genetic diversity, being the differentiation large between varieties and small within them. Some associations between gliadin alleles and geographical and agro-morphological data were found. Agro-morphological relations were also observed in the clusters of the SSRs dendrogram. A high concordance was found between gliadins and SSRs for genotype identification. In addition, both systems provide complementary information to resolve the different cases of intra-accession variability not detected at the agro-morphological level, and to identify separately all the genotypes analysed. The combined use of both genetic markers is an excellent tool for genetic resource evaluation in addition to agro-morphological evaluation.

Genetic redundancy among durum wheat accessions as assessed with SSRs and endosperm proteins

Reducing duplication in ex-situ collections is complicated and requires good quality genetic markers. This study was conducted to assess the value of endosperm proteins and SSRs for validation of potential duplicates and monitoring intra-accession variability. Fifty durum wheat (Triticum turgidum ssp. durum) accessions grouped in 23 potential duplicates, and previously characterised for 30 agro-morphological traits, were analysed for gliadin and high molecular weight glutenin (HMWG) subunit alleles, total protein, and 24 SSRs, covering a wide genome area. Similarity and dissimilarity matrices were generated based on protein and SSRs alleles. For heterogeneous accessions at gliadins the percent pattern homology (PH) between gliadin patterns and the Nei’s coefficient of genetic identity (I) were computed. Eighteen duplicates identical for proteins showed none or less than 3 unshared SSRs alleles. For heterogeneous accessions PH and I values lower than 80 identified clearly off-types with more than 3 SSRs unshared. Only those biotypes differing in no more than one protein-coding locus were confirmed with SSRs. A good concordance among proteins, morphological traits, and SSR were detected. However, the discrepancy in similarity detected in some cases showed that it is advisable to evaluate redundancy through distinct approaches. The analysis in proteins together with SSRs data are very useful to identify duplicates, biotypes, close related genotypes, and contaminations

Glottal Parameter Estimation by Wavelet Transform for Voice Biometry

Voice biometry is classically based on the parameterization and patterning of speech features mainly. The present approach is based on the characterization of phonation features instead (glottal features). The intention is to reduce intra-speaker variability due to the `text'. Through the study of larynx biomechanics it may be seen that the glottal correlates constitute a family of 2-nd order gaussian wavelets. The methodology relies in the extraction of glottal correlates (the glottal source) which are parameterized using wavelet techniques. Classification and pattern matching was carried out using Gaussian Mixture Models. Data of speakers from a balanced database and NIST SRE HASR2 were used in verification experiments. Preliminary results are given and discussed.

Uso de marcadores moleculares para la racionalización y evaluación de la calidad en las colecciones de Recursos Fitogenéticos de trigo

Esta tesis tiene dos objetivos generales: el primero, analizar el uso de proteínas del endospermo y SSRs para la racionalización de las colecciones de trigo, y el segundo, estudiar la influencia de las proteínas del endospermo, del año de cultivo y del abonado nitrogenado en la calidad en un grupo de variedades locales españolas. Dentro del primer objetivo, se estudió la diversidad genética de la colección de Triticum monococcum L. (escaña menor), y de una muestra de la colección de Triticum turgidum L. (trigo duro) del CRF-INIA, con 2 y 6 loci de gliadinas, y 6 y 24 SSRs, para la escaña menor y el trigo duro, respectivamente. Ambas colecciones presentaron una gran diversidad genética, con una gran diferenciación entre las variedades y pequeña dentro de ellas. Los loci de gliadinas mostraron una gran variabilidad, siendo los loci Gli-2 los más útiles para distinguir variedades. En la escaña menor, las gliadinas presentaron mayor poder de discriminación que los SSRs; aunque en trigo duro los SSRs identificaron más genotipos. El número de alelos encontrado fue alto; 24 y 38 en gliadinas, y 29 y 203 en SSRs, en escaña menor y trigo duro, respectivamente. En trigo duro, se identificaron 17 alelos nuevos de gliadinas lo que demuestra que el germoplasma español es muy singular. En ambas especies, se detectaron asociaciones entre la variación alélica en prolaminas y el origen geográfico y filogenético de las variedades. La utilidad de las proteínas (6 loci de gliadinas, 2 loci de gluteninas y proteína total) y de los SSRs (24 loci) para verificar duplicados, y analizar la variabilidad intraaccesión, se estudió en 23 casos de duplicados potenciales de trigo duro. Los resultados indicaron que tanto los biotipos como las accesiones duplicadas mostraban el mismo genotipo en gliadinas, pocas diferencias o ninguna en las subunidades de gluteninas HMW y proteína total, y diferencias en menos de tres loci de SSRs. El mismo resultado se obtuvo para los biotipos de la colección de T. monococcum. Sin embargo, las discrepancias observadas en algunos casos entre proteínas y SSRs demostraron la utilidad del uso conjunto de ambos tipos de marcadores. Tanto las proteínas como los SSRs mostraron gran concordancia con los caracteres agro-morfológicos, especialmente cuando las diferencias entre los genotipos eran grandes. Sin embargo, los caracteres agro-morfológicos fueron menos discriminantes que los marcadores moleculares. Para el segundo objetivo de la tesis, se analizó la variación alélica en siete loci de prolaminas relacionados con la calidad en trigo duro: Glu-A1 y Glu-B1 de gluteninas HMW, Glu-A3, Glu-B3 y Glu-B2 de gluteninas B-LMW, y Gli-A1 y Gli-B1 de gliadinas. La submuestra analizada incluía variedades locales de todas las provincias españolas donde se ha cultivado tradicionalmente el trigo duro. Todos los loci, excepto el Glu-B2, mostraron gran variabilidad genética, siendo los Glu-3 los más polimórficos. En total, se identificaron 65 alelos, de los que 29 eran nuevos, que representan una fuente importante de variabilidad genética para la mejora de la calidad. Se detectaron diferencias en la composición en prolaminas entre la convar. turgidum y la zona norte, y la convar. durum y la zona sur; el genotipo Glu-B3new-1 - Gli-B1new-1 fue muy común en la convar. turgidum, mientras que el Glu-B3a - Gli-B1c, asociado con mejor calidad, fue más frecuente en la convar. durum. En la convar. turgidum, se observó mayor variabilidad que en la convar. durum, principalmente en los loci Glu-B1 y Glu-B3, lo que indica que esta convariedad puede ser una fuente valiosa de nuevos alelos de gluteninas. Esta submuestra fue evaluada para calidad (contenido en proteína, P, y test de sedimentación, SDSS) con dos dosis de abonado nitrogenado (N), y en dos años diferentes. No se detectaron interacciones Variedad × Año, ni Variedad × N en la calidad. Para la P, los efectos ambientales (año y N) fueron mayores que el efecto de la variedad, siendo, en general, mayor la P con dosis altas de N. La variedad influyó más en el test SDSS, que no se vio afectado por el año ni el N. El aumento del contenido en proteína no influyó significativamente sobre la fuerza del gluten estimada con el SDSS. Respecto a la influencia de las prolaminas en la fuerza del gluten, se confirmó la superioridad del Glu-B3a; aunque también se detectó una influencia alta y positiva de los alelos nuevos Glu-A3new-1, y Glu-B3new-6 y new-9. La no correlación entre el rendimiento (evaluado en un trabajo anterior) y la P, en las variedades adaptadas a bajo N, permitió seleccionar cuatro variedades locales con alto rendimiento y buena fuerza del gluten para producción con bajo N. SUMMARY There are two main objectives in this thesis: The first, to analyse the use of endosperm proteins and SSRs to rationalize the wheat collections, and the second, to study the influence on quality of endosperm proteins, year and nitrogen fertilization in a group of Spanish landraces. For the first objective, we studied the genetic diversity of the collection of Triticum monococcum L. (cultivated einkorn), and of a sample of the collection of Triticum turgidum L. (durum wheat) maintained at the CRF-INIA. Two and 6 gliadin loci, and 6 and 24 SSRs, were used for einkorn and durum wheat, respectively. Both collections possessed a high genetic diversity, being the differentiation large between varieties and small within them. Gliadin loci showed great variability, being the loci Gli-2 the most useful for distinguish among varieties. In einkorn, the gliadins showed higher discrimination power than SSRs; although SSRs identified more genotypes in durum wheat. Large number of alleles were found; 24 and 38 in gliadins, and 29 and 203 in SSRs, for einkorn and durum wheat, respectively. In durum wheat, 17 new alleles of gliadins were identified, which indicate that Spanish durum wheat germplasm is rather unique. Some associations between prolamin alleles and geographical and phylogenetic origin of varieties were found in both species. The value of endosperm proteins (6 gliadin loci, 2 glutenin loci and total protein) and SSRs (24 loci) for validation of duplicates, and monitoring the intra-accession variability, was studied in 23 potential duplicates of durum wheat. The results indicated that biotypes and duplicated accessions showed identical gliadin genotype, few or none differences in HMW glutenin subunits and total protein, and less than three different SSR loci. A similar result was obtained for biotypes of T. monococcum. However, the discrepancies in some cases support the convenience to use together both marker systems. A good concordance among endosperm proteins, agro-morphological traits and SSRs were also found, mainly when differences between genotypes were high. However, agro-morphological traits discriminated less between accessions than molecular markers. For the second objective of the thesis, we analysed the allelic variation at seven prolamin loci, involved in durum wheat quality: Glu-A1 and Glu-B1 of HMW glutenin, Glu-A3, Glu-B3 and Glu-B2 of B-LMW glutenin, and Gli-A1 and Gli-B1 of gliadin. The subsample analysed included landraces from all the Spanish provinces where the crop was traditionally cultivated. All the loci, except for Glu-B2, showed high genetic variability, being Glu-3 the most polymorphic. A total of 65 alleles were studied, 29 of them being new, which represent an important source of variability for quality improvement. Differences in prolamin composition were detected between convar. turgidum and the North zone, and the convar. durum and the South zone; the genotype Glu-B3new-1 - Gli-B1new-1 was very common in the convar. turgidum, while the Glu- B3a - Gli-B1c, associated with better quality, was more frequent in the convar. durum. Higher variability was detected in the convar. turgidum than in the convar. durum, mainly at the Glu-B1 and Glu-B3, showing that this convariety could be a valuable source of new glutenin alleles. The subsample was evaluated for quality (protein content, P, and sedimentation test, SDSS) with two doses of nitrogen fertiliser (N), and in two different years. No significant Variety x Year or Variety x Nitrogen interactions were detected. For P, environmental (year and N) effects were higher than variety effect, being P values , in general, larger with high dose of N. The variety exhibited a strong influence on SDSS test, which was not affected by year and N. Increasing values of P did not significantly influence on gluten strength, estimated with the SDSS. Respect to the prolamin effects on gluten strength, the superiority of Glu-B3a was confirmed; although a high positive effect of the new alleles Glu-A3new-1, and Glu-B3new-6 and new-9 was also detected. The no correlation between yield (evaluated in a previous research) and P, in the landraces adapted to low N, allowed to select four landraces with high yield and high gluten strength for low N production.

Seed image analysis and taxonomy of Diplotaxis DC. (Brassicaceae, Brassiceae)

The genus Diplotaxis, comprising 32 or 34 species, plus several additional infraspecific taxa, displays a considerable degree of heterogeneity in the morphology, molecular markers, chromosome numbers and geographical amplitude of the species. The taxonomic relationships within the genus Diplotaxis were investigated by phenetic characterisation of germplasm belonging to 27 taxa of the genus, because there is an increasing interest in Diplotaxis, since some of its species (D. tenuifolia, D. muralis) are gathered or cultivated for human consumption, whereas others are frequent arable weeds (D. erucoides) in many European vineyards. Using a computer-aided vision system, 33 morpho-colorimetric features of seeds were electronically measured. The data were used to implement a statistical classifier, which is able to discriminate the taxa within the genus Diplotaxis, in order to compare the resulting species grouping with the current infrageneric systematics of this genus. Despite the high heterogeneity of the samples, due to the great intra-population variability, the stepwise Linear Discriminant Analysis method, applied to distinguish the groups, was able to reach over 80% correct identification. The results obtained allowed us to confirm the current taxonomic position of most taxa and suggested the taxonomic position of others for reconsideration.

A Monitoring Infrastructure for FPGA Self-Awareness and Dynamic Adaptation

Variabilities associated with CMOS evolution affect the yield and performance of current digital designs. FPGAs, which are widely used for fast prototyping and implementation of digital circuits, also suffer from these issues. Proactive approaches start to appear to achieve self-awareness and dynamic adaptation of these devices. To support these techniques we propose the employment of a multi-purpose sensor network. This infrastructure, through adequate use of configuration and automation tools, is able to obtain relevant data along the life cycle of an FPGA. This is realised at a very reduced cost, not only in terms of area or other limited resources, but also regarding the design effort required to define and deploy the measuring infrastructure. Our proposal has been validated by measuring inter-die and intra-die variability in different FPGA families.

Natural regeneration in mediterranean mixed forests: effect of environmental conditions on the physiological optimum niche of the species = Regeneración natural en masas mixtas mediterráneas: efecto de las condiciones ambientales en el nicho óptimo fisiológico de las especies

Los montes Mediterráneos han experimentado múltiples cambios en las últimas décadas (tanto en clima como en usos), lo que ha conducido a variaciones en la distribución de especies. El aumento previsto de las temperaturas medias junto con la mayor variabilidad intra e inter anual en cuanto a la ocurrencia de eventos extremos o disturbios naturales (como periodos prolongados de sequía, olas de frío o calor, incendios forestales o vendavales) pueden dañar significativamente al regenerado, llevándolo hasta la muerte, y jugando un papel decisivo en la composición de especies y en la dinámica del monte. La amplitud ecológica de muchas especies forestales puede verse afectada, de forma que se esperan cambios en sus nichos actuales de regeneración. Sin embargo, la migración latitudinal de las especies en busca de mejores condiciones, podría ser una explicación demasiado simplista de un proceso mucho más complejo de interacción entre la temperatura y la precipitación, que afectaría a cada especie de un modo distinto. En este sentido tanto la capacidad de adaptación al estrés ambiental de una determinada especie, así como su habilidad para competir por los recursos limitados, podría significar variaciones dentro de una comunidad. Las características fisiológicas y morfológicas propias de cada especie se encuentran fuertemente relacionadas con el lugar donde cada una puede surgir, qué especies pueden convivir y como éstas responden a las condiciones ambientales. En este sentido, el conocimiento sobre las distintas respuestas ecofisiológicas observadas ante cambios ambientales puede ser fundamentales para la predicción de variaciones en la distribución de especies, composición de la comunidad y productividad del monte ante el cambio global. En esta tesis investigamos el grado de tolerancia y sensibilidad que cada una de las tres especies de estudio, coexistentes en el interior peninsular ibérico (Pinus pinea, Quercus ilex y Juniperus oxycedrus), muestra ante los factores abióticos de estrés típicos de la región Mediterránea. Nuestro trabajo se ha basado en la definición del nicho óptimo fisiológico para el regenerado de cada especie a través de la investigación en profundidad del efecto de la sequía, la temperatura y el ambiente lumínico. Para ello, hemos desarrollado un modelo de predicción de la tasa de asimilación de carbono que nos ha permitido identificar las condiciones óptimas ambientales donde el regenerado de cada especie podría establecerse con mayor facilidad. En apoyo a este trabajo y con la idea de estudiar el efecto de la sequía a nivel de toda la planta hemos desarrollado un experimento paralelo en invernadero. Aquí se han aplicado dos regímenes hídricos para estudiar las características fisiológicas y morfológicas de cada especie, sobre todo a nivel de raíz y crecimiento del tallo, y relacionarlas con las diferentes estrategias en el uso del agua de las especies. Por último, hemos estudiado los patrones de aclimatación y desaclimatación al frio de cada especie, identificando los periodos de sensibilidad a heladas, así como cuellos de botella donde la competencia entre especies podría surgir. A pesar de que el pino piñonero ha sido la especie objeto de la gestión de estas masas durante siglos, actualmente se encuentra en la posición más desfavorable para combatir el cambio global, presentado el nicho fisiológico más estrecho de las tres especies. La encina sin embargo, ha resultado ser la especie mejor cualificada para afrontar este cambio, seguida muy de cerca por el enebro. Nuestros resultados sugieren una posible expansión en el rango de distribución de la encina, un aumento en la presencia del enebro y una disminución progresiva del pino piñonero a medio plazo en estas masas. ABSTRACT Mediterranean forests have undergone multiple changes over the last decades (in both climate and land use), which have lead to variations in the distribution of species. The expected increase in mean annual temperature together with the greater inter and intra-annual variability in extreme events and disturbances occurrence (such as prolonged drought periods, cold or heat waves, wildfires or strong winds) can significantly damage natural regeneration, up to causing death, playing a decisive role on species composition and forest dynamics. The ecological amplitude for adaptation of many species can be affected in such a way that changes in the current regeneration niches of many species are expected. However, the forecasted poleward migration of species seeking better conditions could be an oversimplification of what is a more complex phenomenon of interactions among temperature and precipitation, that would affect different species in different ways. In this regard, either the ability to adapt to environmental stresses or to compete for limited resources of a single species in a mixed forest could lead to variations within a community. The ecophysiological and morphological traits specific to each species are strongly related to the place where each species can emerge, which species can coexist, and how they respond to environmental conditions. In this regard, the understanding of the ecophysiological responses observed against changes in environmental conditions can be essential for predicting variations in species distribution, community composition, and forest productivity in the context of global change. In this thesis we investigated the degree of tolerance and sensitivity that each of the three studied species, co-occurring in central of the Iberian Peninsula (Pinus pinea, Quercus ilex and Juniperus oxycedrus), show against the typical abiotic stress factors in the Mediterranean region. Our work is based on the optimal physiological niche for regeneration of each species through in-depth research on the effect of drought, temperature and light environment. For this purpose, we developed a model to predict the carbon assimilation rate which allows us to identify the optimal environmental conditions where regeneration from each species could establish itself more easily. To obtain a better understanding about the effect of low temperature on regeneration, we studied the acclimation and deacclimation patterns to cold of each species, identifying period of frost sensitivity, as well as bottlenecks where competition between species can arise. Finally, to support our results about the effect of water availabilty, we conducted a greenhouse experiment with a view of studying the drought effect at the whole plant level. Here, two watering regimes were applied in order to study the physiological and morphological traits of each species, mainly at the level of the root system and stem growth, and so relate them to the different water use strategies of the species. Despite the fact that stone pine has been the target species for centuries, nowadays this species is in the most unfavorable position to cope with climate change. Holm oak, however, resulted the species that is best adapted to tolerate the predicted changes, followed closely by prickly juniper. Our results suggest a feasible expansion of the distribution range in holm oak, an increase in the prickly juniper presence and a progressive decreasing of stone pine presence in the medium term in these stone pine-holm oak-prickly juniper mixed forests.

Estimación eficiente de atributos demográficos del rostro humano en imágenes

Sin duda, el rostro humano ofrece mucha más información de la que pensamos. La cara transmite sin nuestro consentimiento señales no verbales, a partir de las interacciones faciales, que dejan al descubierto nuestro estado afectivo, actividad cognitiva, personalidad y enfermedades. Estudios recientes [OFT14, TODMS15] demuestran que muchas de nuestras decisiones sociales e interpersonales derivan de un previo análisis facial de la cara que nos permite establecer si esa persona es confiable, trabajadora, inteligente, etc. Esta interpretación, propensa a errores, deriva de la capacidad innata de los seres humanas de encontrar estas señales e interpretarlas. Esta capacidad es motivo de estudio, con un especial interés en desarrollar métodos que tengan la habilidad de calcular de manera automática estas señales o atributos asociados a la cara. Así, el interés por la estimación de atributos faciales ha crecido rápidamente en los últimos años por las diversas aplicaciones en que estos métodos pueden ser utilizados: marketing dirigido, sistemas de seguridad, interacción hombre-máquina, etc. Sin embargo, éstos están lejos de ser perfectos y robustos en cualquier dominio de problemas. La principal dificultad encontrada es causada por la alta variabilidad intra-clase debida a los cambios en la condición de la imagen: cambios de iluminación, oclusiones, expresiones faciales, edad, género, etnia, etc.; encontradas frecuentemente en imágenes adquiridas en entornos no controlados. Este de trabajo de investigación estudia técnicas de análisis de imágenes para estimar atributos faciales como el género, la edad y la postura, empleando métodos lineales y explotando las dependencias estadísticas entre estos atributos. Adicionalmente, nuestra propuesta se centrará en la construcción de estimadores que tengan una fuerte relación entre rendimiento y coste computacional. Con respecto a éste último punto, estudiamos un conjunto de estrategias para la clasificación de género y las comparamos con una propuesta basada en un clasificador Bayesiano y una adecuada extracción de características. Analizamos en profundidad el motivo de porqué las técnicas lineales no han logrado resultados competitivos hasta la fecha y mostramos cómo obtener rendimientos similares a las mejores técnicas no-lineales. Se propone un segundo algoritmo para la estimación de edad, basado en un regresor K-NN y una adecuada selección de características tal como se propuso para la clasificación de género. A partir de los experimentos desarrollados, observamos que el rendimiento de los clasificadores se reduce significativamente si los ´estos han sido entrenados y probados sobre diferentes bases de datos. Hemos encontrado que una de las causas es la existencia de dependencias entre atributos faciales que no han sido consideradas en la construcción de los clasificadores. Nuestro resultados demuestran que la variabilidad intra-clase puede ser reducida cuando se consideran las dependencias estadísticas entre los atributos faciales de el género, la edad y la pose; mejorando el rendimiento de nuestros clasificadores de atributos faciales con un coste computacional pequeño. Abstract Surely the human face provides much more information than we think. The face provides without our consent nonverbal cues from facial interactions that reveal our emotional state, cognitive activity, personality and disease. Recent studies [OFT14, TODMS15] show that many of our social and interpersonal decisions derive from a previous facial analysis that allows us to establish whether that person is trustworthy, hardworking, intelligent, etc. This error-prone interpretation derives from the innate ability of human beings to find and interpret these signals. This capability is being studied, with a special interest in developing methods that have the ability to automatically calculate these signs or attributes associated with the face. Thus, the interest in the estimation of facial attributes has grown rapidly in recent years by the various applications in which these methods can be used: targeted marketing, security systems, human-computer interaction, etc. However, these are far from being perfect and robust in any domain of problems. The main difficulty encountered is caused by the high intra-class variability due to changes in the condition of the image: lighting changes, occlusions, facial expressions, age, gender, ethnicity, etc.; often found in images acquired in uncontrolled environments. This research work studies image analysis techniques to estimate facial attributes such as gender, age and pose, using linear methods, and exploiting the statistical dependencies between these attributes. In addition, our proposal will focus on the construction of classifiers that have a good balance between performance and computational cost. We studied a set of strategies for gender classification and we compare them with a proposal based on a Bayesian classifier and a suitable feature extraction based on Linear Discriminant Analysis. We study in depth why linear techniques have failed to provide competitive results to date and show how to obtain similar performances to the best non-linear techniques. A second algorithm is proposed for estimating age, which is based on a K-NN regressor and proper selection of features such as those proposed for the classification of gender. From our experiments we note that performance estimates are significantly reduced if they have been trained and tested on different databases. We have found that one of the causes is the existence of dependencies between facial features that have not been considered in the construction of classifiers. Our results demonstrate that intra-class variability can be reduced when considering the statistical dependencies between facial attributes gender, age and pose, thus improving the performance of our classifiers with a reduced computational cost.

Inter-operator reliability of live football match statistics from OPTA Sportsdata

The aim of the study was to evaluate the inter-operator reliability of OPTA Client System which is used to collect live football match statistics by OPTA Sportsdata Company. Two groups of experienced operators were required to analyze a Spanish league match independently. Results showed that team events coded by independent operators reached a very good agreement (kappa values were 0.92 and 0.94) and average difference of event time was 0.06±0.04 s. The reliability of goalkeeper actions was also at high level, kappa values were 0.92 and 0.86. The high intra-class correlation coefficients (ranged from 0.88 to 1.00) and low standardized typical errors (varied from 0.00 to 0.37) of different match actions and indicators of individual outfield players showed a high level of inter-operator reliability as well. These results suggest that the OPTA Client System is reliable to be used to collect live football match statistics by well trained operators.

Study of PM10 and PM2.5 levels in three European cities: Analysis of intra and inter urban variations

In the present paper, 1-year PM10 and PM 2.5 data from roadside and urban background monitoring stations in Athens (Greece), Madrid (Spain) and London (UK) are analysed in relation to other air pollutants (NO,NO2,NOx,CO,O3 and SO2)and several meteorological parameters (wind velocity, temperature, relative humidity, precipitation, solar radiation and atmospheric pressure), in order to investigate the sources and factors affecting particulate pollution in large European cities. Principal component and regression analyses are therefore used to quantify the contribution of both combustion and non-combustion sources to the PM10 and PM 2.5 levels observed. The analysis reveals that the EU legislated PM 10 and PM2.5 limit values are frequently breached, forming a potential public health hazard in the areas studied. The seasonal variability patterns of particulates varies among cities and sites, with Athens and Madrid presenting higher PM10 concentrations during the warm period and suggesting the larger relative contribution of secondary and natural particles during hot and dry days. It is estimated that the contribution of non-combustion sources varies substantially among cities, sites and seasons and ranges between 38-67% and 40-62% in London, 26-50% and 20-62% in Athens, and 31-58% and 33-68% in Madrid, for both PM10 and PM 2.5. Higher contributions from non-combustion sources are found at urban background sites in all three cities, whereas in the traffic sites the seasonal differences are smaller. In addition, the non-combustion fraction of both particle metrics is higher during the warm season at all sites. On the whole, the analysis provides evidence of the substantial impact of non-combustion sources on local air quality in all three cities. While vehicular exhaust emissions carry a large part of the risk posed on human health by particle exposure, it is most likely that mitigation measures designed for their reduction will have a major effect only at traffic sites and additional measures will be necessary for the control of background levels. However, efforts in mitigation strategies should always focus on optimal health effects.