Assessment of oral bioaccessibility of arsenic in playground soil in Madrid (Spain): A three-method comparison and implications for risk assessment

Three methodologies to assess As bioaccessibility were evaluated using playgroundsoil collected from 16 playgrounds in Madrid, Spain: two (Simplified Bioaccessibility Extraction Test: SBET, and hydrochloric acid-extraction: HCl) assess gastric-only bioaccessibility and the third (Physiologically Based Extraction Test: PBET) evaluates mouth–gastric–intestinal bioaccessibility. Aqua regia-extractable (pseudo total) As contents, which are routinely employed in riskassessments, were used as the reference to establish the following percentages of bioaccessibility: SBET – 63.1; HCl – 51.8; PBET – 41.6, the highest values associated with the gastric-only extractions. For Madridplaygroundsoils – characterised by a very uniform, weakly alkaline pH, and low Fe oxide and organic matter contents – the statistical analysis of the results indicates that, in contrast with other studies, the highest percentage of As in the samples was bound to carbonates and/or present as calcium arsenate. As opposed to the As bound to Fe oxides, this As is readily released in the gastric environment as the carbonate matrix is decomposed and calcium arsenate is dissolved, but some of it is subsequently sequestered in unavailable forms as the pH is raised to 5.5 to mimic intestinal conditions. The HCl extraction can be used as a simple and reliable (i.e. low residual standard error) proxy for the more expensive, time consuming, and error-prone PBET methodology. The HCl method would essentially halve the estimate of carcinogenic risk for children playing in Madridplaygroundsoils, providing a more representative value of associated risk than the pseudo-total concentrations used at present

La geoquímica de los sedimentos de llanuras de inundación como guía para la valoración ambiental en España

En la presente tesis se estudian los contenidos geoquímicos de los sedimentos de llanura de inundación en diversas cuencas fluviales seleccionadas con el objetivo de contribuir a un mejor conocimiento de sus condiciones medioambientales. En cada cuenca, se ha muestreado un perfil vertical de llanura de inundación, dividiéndolo en tramos que generalmente corresponden a diferentes episodios de inundación. Estos sedimentos se depositan durante los episodios de crecidas una vez que la corriente sobrepasa los límites del canal. Se caracterizan normalmente por tener un tamaño de grano fino y una estructura en capas horizontales que corresponden a los sucesivos episodios de inundación. Muestran dos ventajas principales con respecto a otros medios de muestreo en geoquímica como suelos o sedimentos de corriente: • Pueden almacenar sedimento antiguo así como actual, con lo que se puede estudiar la historia geoquímica de una zona específica en un mismo punto de muestreo (perfil vertical). • Los sedimentos de llanuras de inundación son capaces de caracterizar grandes áreas de drenaje. El origen de los sedimentos es más diverso que en el sedimento de corriente, debido a las mayores áreas de donde proceden las aguas de las avenidas. Las cuencas han sido seleccionadas según las actividades antropogénicas que en ellas se llevan a cabo, en concreto, actividades urbanas e industriales, minería y agricultura. Así mismo, se han estudiado, como referencia, dos cuencas donde no se espera encontrar ningún tipo de actividad contaminante. Una vez hecha la selección, los sedimentos aluviales de las cuencas se han estudiado cuidadosamente para asegurar que no existen depósitos de acreción lateral en el punto seleccionado. Posteriormente se ha procedido al muestreo del perfil vertical. Las muestras han sido analizadas mediante ICP-MS (ataque total) e INAA para conocer los contenidos totales de los elementos traza y mayoritarios. Los análisis de la fracción extraíble se han llevado a cabo mediante ICP-MS (ataque con agua regia). Así mismo, algunas muestras seleccionadas han sido sometidas a una extracción secuencial para un estudio más detallado. La presencia de materia orgánica ha sido estimada mediante el análisis de Carbono Orgánico Total (TOC). Finalmente, se ha llevado a cabo un análisis de isótopos de Pb en muestras escogidas en los perfiles, con el objetivo de hacer una evaluación ambiental. Los contenidos metálicos aumentan hacia la superficie en algunos de los perfiles, mientras en otros muestran una distribución muy constante exceptuando algún nivel específico con un aumento de los contenidos de la mayoría de los metales. Ha sido posible determinar la influencia de las actividades antropogénicas en algunos de los perfiles. Aquellos que pertenecen a cuencas mineras, urbanas o industrializadas muestran generalmente altos contenidos en elementos metálicos. Es el caso de los perfiles muestreados en los ríos Odiel y Tinto, Besaya, Besós y Manzanares. Algunos de estos perfiles pueden incluso correlacionarse con periodos de tiempo en los que ha tenido lugar una actividad antropogénica más intensa. Los perfiles que mejor se correlacionan con la actividad antropogénica de la cuenca son el perfil de Rivas en el río Manzanares (Madrid), que refleja un crecimiento de la contaminación producida por las actividades urbana e industrial en las últimas décadas, y el río Tinto, que muestra un crecimiento llamativo de los contenidos en su mayoría metálicos que puede estar relacionado con el incremento de la actividad minera que tuvo lugar hace aproximadamente 125 años. El análisis de los isótopos de Pb ha resultado ser una herramienta útil en la evaluación ambiental de estos sedimentos. Con este estudio y mediante la comparación con fuentes naturales y antropogénicas, ha sido posible diferenciar las muestras afectadas por diferentes fuentes de plomo, así como detectar las más afectadas antropogénicamente. ABSTRACT The geochemical composition of overbank sediments of some selected river basins is studied in this thesis in order to contribute to a better knowledge of the environmental conditions surrounding them. In each basin a vertical overbank profile has been sampled, dividing it into stretches that usually correspond to different flood events. The overbank sediments are those deposited during a flood event once the flow spills over the channel banks. They are usually characterized by a very fine grain size and a structure of horizontal layers, which correspond to successive flood events. These sediments show two main advantages regarding other sampling media in geochemistry, like soils or stream sediments: • They can store sediment deposited in the past as well as in current times, so that the history of a specific location can be studied at the very same point (vertical profile). • The overbank sediments are able to characterize a large drainage area. The origin of the sediment is wider than in the stream sediments due to the larger areas where the flood water comes from. The basins have been selected depending on the anthropogenic activities developed in them, namely, urban and industrial activities, mining activities and agricultural activities. As well, two pristine basins have been studied as a reference. Afterwards, the alluvial sediments in the basins have been carefully studied in order to sample a vertical profile and make sure that lateral accretion materials are not present in the profile. The samples have been analysed by ICP-MS (total digestion) and INAA to know the total contents of trace and major elements. Analysis of the mobile fraction has been carried out by ICP-MS (aqua regia); as well some of the samples have been subjected to sequential extraction for a more detailed study. The presence of organic matter has been estimated by the analysis of the Total Organic Carbon (TOC). Finally, a lead isotope analysis of some of the samples in the profiles was carried out in order to make an environmental assessment. Metal contents grow towards the surface in some of the profiles, while others show a very steady distribution, except for some of them with a growth of most of the metals in a specific level. XI It has been possible to determine the influence of the anthropogenic activities in some of the profiles. The ones that belong to mining and urban or industrialized basins show generally high contents of metal elements. This is the case of the profiles sampled in the Odiel and Tinto Rivers, the Besaya River, the Besós River and the Manzanares River. Some of these profiles can even correlate with the periods of time when a more intense activity in their respective basins has taken place. The profiles which best correlate with the anthropogenic activity are the Rivas profile in the Manzanares River, which reflects a growth of the pollution produced by urban and industrial activities in the city of Madrid in the last decades and the Tinto profile, which shows a very dramatic growth of the elemental contents (mostly metals) which can be related to the increase of the mining activities that took place in the last 125 years. The analysis of lead isotopes has turned out to be a powerful tool in the environmental assessment in this type of sediments. With this study and through the comparison with natural and anthropogenic sources, it has been possible to determine samples affected by different sources of lead and to detect the most anthropogenicaly affected ones.

The relationship between soil geochemistry and the bioaccessibility of trace elements in playground soil

A total of 32 samples of surficial soil were collected from 16 playground areas in Madrid (Spain), in order to investigate the importance of the geochemistry of the soil on subsequent bioaccessibility of trace elements. The in vitro bioaccessibility of As, Co, Cr, Cu, Ni, Pb and Zn was evaluated by means of two extraction processes that simulate the gastric environment and one that reproduces a gastric + intestinal digestion sequence. The results of the in vitro bioaccessibility were compared against aqua regia extractions (“total” concentration), and it was found that total concentrations of As, Cu, Pb and Zn were double those of bioaccessible values, whilst that of Cr was ten times higher. Whereas the results of the gastric + intestinal extraction were affected by a high uncertainty, both gastric methods offered very similar and consistent results, with bioaccessibilities following the order: As = Cu = Pb = Zn > Co > Ni > Cr, and ranging from 63 to 7 %. Selected soil properties including pH, organic matter, Fe and CaCO3 content were determined to assess their influence on trace element bioaccessibility, and it was found that Cu, Pb and Zn were predominantly bound to organic matter and, to a lesser extent, Fe oxides. The former fraction was readily accessible in the gastric solution, whereas Fe oxides seemed to recapture negatively charged chloride complexes of these elements in the gastric solution, lowering their bioaccessibility. The homogeneous pH of the playground soils included in the study does not influence trace element bioaccessibility to any significant extent except for Cr, where the very low gastric accessibility seems to be related to the strongly pH-dependent formation of complexes with organic matter. The results for As, which have been previously described and discussed in detail in Mingot et al. (Chemosphere 84: 1386–1391, 2011), indicate a high gastric bioaccessibility for this element as a consequence of its strong association with calcium carbonate and the ease with which these bonds are broken in the gastric solution. The calculation of risk assessments are therefore dependant on the methodology used and the specific environment they address. This has impacts on management strategies formulated to ensure that the most vulnerable of society, children, can live and play without adverse consequences to their health.

Geochemistry and risk assessment of street dust in Luanda, Angola, a tropical urban environment

A total of 92 samples of street dust were collected in Luanda, Angola, were sieved below 100 μm, and analysed by ICP-MS for 35 elements after an aqua-regia digestion. The concentration and spatial heterogeneity of trace elements in the street dust of Luanda are generally lower than in most industrialized cities in the Northern hemisphere. These observations reveal a predominantly “natural” origin for the street dust in Luanda, which is also manifested in that some geochemical processes that occur in natural soils are preserved in street dust: the separation of uranium from thorium, and the retention of the former by carbonate materials, or the high correlation between arsenic and vanadium due to their common mode of adsorption on solid particles in the form of oxyanions. The only distinct anthropogenic fingerprint in the composition of Luanda's street dust is the association Pb–Cd–Sb–Cu (and to a lesser extent, Ba–Cr–Zn). The use of risk assessment strategies has proved helpful in identifying the routes of exposure to street dust and the trace elements therein of most concern in terms of potential adverse health effects. In Luanda the highest levels of risk seem to be associated (a) with the presence of As and Pb in the street dust and (b) with the route of ingestion of dust particles, for all the elements included in the study except Hg, for which inhalation of vapours presents a slightly higher risk than ingestion. However, given the large uncertainties associated with the estimates of toxicity values and exposure factors, and the absence of site-specific biometric factors, these results should be regarded as preliminary and further research should be undertaken before any definite conclusions regarding potential health effects are drawn.

Geochemical fingerprints and controls in the sediments of an urban river: River Manzanares, Madrid (Spain)

The geochemical fingerprint of sediment retrieved from the banks of the River Manzanares as it passes through the City of Madrid is presented here. The river collects the effluent water from several Waste Water Treatment (WWT) plants in and around the city, such that, at low flows, up to 60% of the flow has been treated. A total of 18 bank-sediment cores were collected along the course of the river, down to its confluence with the Jarama river, to the south–east of Madrid. Trace and major elements in each sample were extracted following a double protocol: (a) “Total” digestion with HNO3, HClO4 and HF; (b) “Weak” digestion with sodium acetate buffered to pH=5 with acetic acid, under constant stirring. The digests thus obtained were subsequently analysed by ICP-AES, except for Hg which was extracted with aqua regia and sodium chloride-hydroxylamine sulfate, and analysed by Cold Vapour-AAS. X-ray diffraction was additionally employed to determine the mineralogical composition of the samples. Uni- and multivariate analyses of the chemical data reveal the influence of Madrid on the geochemistry of Manzanares' sediments, clearly manifested by a marked increase in the concentration of typically “urban” elements Ag, Cr, Cu, Pb and Zn, downstream of the intersection of the river with the city's perimeter. The highest concentrations of these elements appear to be associated with illegal or accidental dumping of waste materials, and with the uncontrolled incorporation of untreated urban runoff to the river. The natural matrix of the sediment is characterised by fairly constant concentrations of Ce, La and Y, whereas changes in the lithology intersected by the river cause corresponding variations in Ca–Mg and Al–Na contents. In the final stretch of the river, the presence of carbonate materials seems to exert a strong geochemical control on the amount of Zn and, to a lesser extent, Cu immobilised in the sediments. This fact suggests that a variable but significant proportion of both elements may be susceptible to reincorporation in the aqueous phase under realistic environmental conditions.

Modelización del cálculo de Indicadores Ambientales, a partir de sensores ópticos de alta resolución temporal a bordo de satélite

La presente tesis doctoral tiene por objeto el estudio y análisis de técnicas y modelos de obtención de parámetros biofísicos e indicadores ambientales, de manera automatizada a partir de imágenes procedentes de satélite de alta resolución temporal. En primer lugar se revisan los diferentes programas espaciales de observación del territorio, con especial atención a los que proporcionan dicha resolución. También se han revisado las metodologías y procesos que permiten la obtención de diferentes parámetros cuantitativos y documentos cualitativos, relacionados con diversos aspectos de las cubiertas terrestres, atendiendo a su adaptabilidad a las particularidades de los datos. En segundo lugar se propone un modelo de obtención de parámetros ambientales, que integra información proveniente de sensores espaciales y de otras fuentes auxiliares utilizando, en cierta medida, las metodologías presentadas en apartados anteriores y optimizando algunas de las referidas o proponiendo otras nuevas, de manera que se permita dicha obtención de manera eficiente, a partir de los datos disponibles y de forma sistemática. Tras esta revisión de metodologías y propuesta del modelo, se ha procedido a la realización de experimentos, con la finalidad de comprobar su comportamiento en diferentes casos prácticos, depurar los flujos de datos y procesos, así como establecer las situaciones que pueden afectar a los resultados. De todo ello se deducirá la evaluación del referido modelo. Los sensores considerados en este trabajo han sido MODIS, de alta resolución temporal y Thematic Mapper (TM), de media resolución espacial, por tratarse de instrumentos de referencia en la realización de estudios ambientales. También por la duración de sus correspondientes misiones de registro de datos, lo que permite realizar estudios de evolución temporal de ciertos parámetros biofísicos, durante amplios periodos de tiempo. Así mismo. es de destacar que la continuidad de los correspondientes programas parece estar asegurada. Entre los experimentos realizados, se ha ensayado una metodología para la integración de datos procedentes de ambos sensores. También se ha analizado un método de interpolación temporal que permite obtener imágenes sintéticas con la resolución espacial de TM (30 m) y la temporal de MODIS (1 día), ampliando el rango de aplicación de este último sensor. Asimismo, se han analizado algunos de los factores que afectan a los datos registrados, tal como la geometría de la toma de los mismos y los episodios de precipitación, los cuales alteran los resultados obtenidos. Por otro lado, se ha comprobado la validez del modelo propuesto en el estudio de fenómenos ambientales dinámicos, en concreto la contaminación orgánica de aguas embalsadas. Finalmente, se ha demostrado un buen comportamiento del modelo en todos los casos ensayados, así como su flexibilidad, lo que le permite adaptarse a nuevos orígenes de datos, o nuevas metodologías de cálculo. Abstract This thesis aims to the study and analysis of techniques and models, in order to obtain biophysical parameters and environmental indicators in an automated way, using high temporal resolution satellite data. Firstly we have reviewed the main Earth Observation Programs, paying attention to those that provide high temporal resolution. Also have reviewed the methodologies and process flow diagrams in order to obtain quantitative parameters and qualitative documents, relating to various aspects of land cover, according to their adaptability to the peculiarities of the data. In the next stage, a model which allows obtaining environmental parameters, has been proposed. This structure integrates information from space sensors and ancillary data sources, using the methodologies presented in previous sections that permits the parameters calculation in an efficient and automated way. After this review of methodologies and the proposal of the model, we proceeded to carry out experiments, in order to check the behavior of the structure in real situations. From this, we derive the accuracy of the model. The sensors used in this work have been MODIS, which is a high temporal resolution sensor, and Thematic Mapper (TM), which is a medium spatial resolution instrument. This choice was motivated because they are reference sensors in environmental studies, as well as for the duration of their corresponding missions of data logging, and whose continuity seems assured. Among the experiments, we tested a methodology that allows the integration of data from cited sensors, we discussed a proposal for a temporal interpolation method for obtaining synthetic images with spatial resolution of TM (30 m) and temporal of MODIS (1 day), extending the application range of this one. Furthermore, we have analyzed some of the factors that affect the recorded data, such as the relative position of the satellite with the ground point, and the rainfall events, which alter the obtained results. On the other hand, we have proven the validity of the proposed model in the study of the organic contamination in inland water bodies. Finally, we have demonstrated a good performance of the proposed model in all cases tested, as well as its flexibility and adaptability.

Aplicaciones de interés forestal de las imágenes obtenidas con el sensor Multi-angle Imaging SpectroRadiometer (MISR)

Las aplicaciones de la teledetección al seguimiento de lo que ocurre en la superficie terrestre se han ido multiplicando y afinando con el lanzamiento de nuevos sensores por parte de las diferentes agencias espaciales. La necesidad de tener información actualizada cada poco tiempo y espacialmente homogénea, ha provocado el desarrollo de nuevos programas como el Earth Observing System (EOS) de la National Aeronautics and Space Administration (NASA). Uno de los sensores que incorpora el buque insignia de ese programa, el satélite TERRA, es el Multi-angle Imaging SpectroRadiometer (MISR), diseñado para capturar información multiangular de la superficie terrestre. Ya desde los años 1970, se conocía que la reflectancia de las diversas ocupaciones y usos del suelo variaba en función del ángulo de observación y de iluminación, es decir, que eran anisotrópicas. Tal variación estaba además relacionada con la estructura tridimensional de tales ocupaciones, por lo que se podía aprovechar tal relación para obtener información de esa estructura, más allá de la que pudiera proporcionar la información meramente espectral. El sensor MISR incorpora 9 cámaras a diferentes ángulos para capturar 9 imágenes casi simultáneas del mismo punto, lo que permite estimar con relativa fiabilidad la respuesta anisotrópica de la superficie terrestre. Varios trabajos han demostrado que se pueden estimar variables relacionadas con la estructura de la vegetación con la información que proporciona MISR. En esta Tesis se ha realizado una primera aplicación a la Península Ibérica, para comprobar su utilidad a la hora de estimar variables de interés forestal. En un primer paso se ha analizado la variabilidad temporal que se produce en los datos, debido a los cambios en la geometría de captación, es decir, debido a la posición relativa de sensores y fuente de iluminación, que en este caso es el Sol. Se ha comprobado cómo la anisotropía es mayor desde finales de otoño hasta principios de primavera debido a que la posición del Sol es más cercana al plano de los sensores. También se ha comprobado que los valores máximo y mínimo se van desplazando temporalmente entre el centro y el extremo angular. En la caracterización multiangular de ocupaciones del suelo de CORINE Land Cover que se ha realizado, se puede observar cómo la forma predominante en las imágenes con el Sol más alto es convexa con un máximo en la cámara más cercana a la fuente de iluminación. Sin embargo, cuando el Sol se encuentra mucho más bajo, ese máximo es muy externo. Por otra parte, los datos obtenidos en verano son mucho más variables para cada ocupación que los de noviembre, posiblemente debido al aumento proporcional de las zonas en sombra. Para comprobar si la información multiangular tiene algún efecto en la obtención de imágenes clasificadas según ocupación y usos del suelo, se han realizado una serie de clasificaciones variando la información utilizada, desde sólo multiespectral, a multiangular y multiespectral. Los resultados muestran que, mientras para las clasificaciones más genéricas la información multiangular proporciona los peores resultados, a medida que se amplían el número de clases a obtener tal información mejora a lo obtenido únicamente con información multiespectral. Por otra parte, se ha realizado una estimación de variables cuantitativas como la fracción de cabida cubierta (Fcc) y la altura de la vegetación a partir de información proporcionada por MISR a diferentes resoluciones. En el valle de Alcudia (Ciudad Real) se ha estimado la fracción de cabida cubierta del arbolado para un píxel de 275 m utilizando redes neuronales. Los resultados muestran que utilizar información multiespectral y multiangular puede mejorar casi un 20% las estimaciones realizadas sólo con datos multiespectrales. Además, las relaciones obtenidas llegan al 0,7 de R con errores inferiores a un 10% en Fcc, siendo éstos mucho mejores que los obtenidos con el producto elaborado a partir de datos multiespectrales del sensor Moderate Resolution Imaging Spectroradiometer (MODIS), también a bordo de Terra, para la misma variable. Por último, se ha estimado la fracción de cabida cubierta y la altura efectiva de la vegetación para 700.000 ha de la provincia de Murcia, con una resolución de 1.100 m. Los resultados muestran la relación existente entre los datos espectrales y los multiangulares, obteniéndose coeficientes de Spearman del orden de 0,8 en el caso de la fracción de cabida cubierta de la vegetación, y de 0,4 en el caso de la altura efectiva. Las estimaciones de ambas variables con redes neuronales y diversas combinaciones de datos, arrojan resultados con R superiores a 0,85 para el caso del grado de cubierta vegetal, y 0,6 para la altura efectiva. Los parámetros multiangulares proporcionados en los productos elaborados con MISR a 1.100 m, no obtienen buenos resultados por sí mismos pero producen cierta mejora al incorporarlos a la información espectral. Los errores cuadráticos medios obtenidos son inferiores a 0,016 para la Fcc de la vegetación en tanto por uno, y 0,7 m para la altura efectiva de la misma. Regresiones geográficamente ponderadas muestran además que localmente se pueden obtener mejores resultados aún mejores, especialmente cuando hay una mayor variabilidad espacial de las variables estimadas. En resumen, la utilización de los datos proporcionados por MISR ofrece una prometedora vía de mejora de resultados en la media-baja resolución, tanto para la clasificación de imágenes como para la obtención de variables cuantitativas de la estructura de la vegetación. ABSTRACT Applications of remote sensing for monitoring what is happening on the land surface have been multiplied and refined with the launch of new sensors by different Space Agencies. The need of having up to date and spatially homogeneous data, has led to the development of new programs such as the Earth Observing System (EOS) of the National Aeronautics and Space Administration (NASA). One of the sensors incorporating the flagship of that program, the TERRA satellite, is Multi-angle Imaging Spectroradiometer (MISR), designed to capture the multi-angle information of the Earth's surface. Since the 1970s, it was known that the reflectance of various land covers and land uses varied depending on the viewing and ilumination angles, so they are anisotropic. Such variation was also related to the three dimensional structure of such covers, so that one could take advantage of such a relationship to obtain information from that structure, beyond which spectral information could provide. The MISR sensor incorporates 9 cameras at different angles to capture 9 almost simultaneous images of the same point, allowing relatively reliable estimates of the anisotropic response of the Earth's surface. Several studies have shown that we can estimate variables related to the vegetation structure with the information provided by this sensor, so this thesis has made an initial application to the Iberian Peninsula, to check their usefulness in estimating forest variables of interest. In a first step we analyzed the temporal variability that occurs in the data, due to the changes in the acquisition geometry, i.e. the relative position of sensor and light source, which in this case is the Sun. It has been found that the anisotropy is greater from late fall through early spring due to the Sun's position closer to the plane of the sensors. It was also found that the maximum and minimum values are displaced temporarily between the center and the ends. In characterizing CORINE Land Covers that has been done, one could see how the predominant form in the images with the highest sun is convex with a maximum in the camera closer to the light source. However, when the sun is much lower, the maximum is external. Moreover, the data obtained for each land cover are much more variable in summer that in November, possibly due to the proportional increase in shadow areas. To check whether the information has any effect on multi-angle imaging classification of land cover and land use, a series of classifications have been produced changing the data used, from only multispectrally, to multi-angle and multispectral. The results show that while for the most generic classifications multi-angle information is the worst, as there are extended the number of classes to obtain such information it improves the results. On the other hand, an estimate was made of quantitative variables such as canopy cover and vegetation height using information provided by MISR at different resolutions. In the valley of Alcudia (Ciudad Real), we estimated the canopy cover of trees for a pixel of 275 m by using neural networks. The results showed that using multispectral and multiangle information can improve by almost 20% the estimates that only used multispectral data. Furthermore, the relationships obtained reached an R coefficient of 0.7 with errors below 10% in canopy cover, which is much better result than the one obtained using data from the Moderate Resolution Imaging Spectroradiometer (MODIS), also onboard Terra, for the same variable. Finally we estimated the canopy cover and the effective height of the vegetation for 700,000 hectares in the province of Murcia, with a spatial resolution of 1,100 m. The results show a relationship between the spectral and the multi-angle data, and provide estimates of the canopy cover with a Spearman’s coefficient of 0.8 in the case of the vegetation canopy cover, and 0.4 in the case of the effective height. The estimates of both variables using neural networks and various combinations of data, yield results with an R coefficient greater than 0.85 for the case of the canopy cover, and 0.6 for the effective height. Multi-angle parameters provided in the products made from MISR at 1,100 m pixel size, did not produce good results from themselves but improved the results when included to the spectral information. The mean square errors were less than 0.016 for the canopy cover, and 0.7 m for the effective height. Geographically weighted regressions also showed that locally we can have even better results, especially when there is high spatial variability of estimated variables. In summary, the use of the data provided by MISR offers a promising way of improving remote sensing performance in the low-medium spatial resolution, both for image classification and for the estimation of quantitative variables of the vegetation structure.

Modelling Saharan dust transport into the Mediterranean basin with CMAQ

The need for a better quantification of the influence of Saharan dust transport processes on the air quality modelling in the Mediterranean basin led to the formulation of a dust emission module (DEM) integrated into the Air Quality Risk Assessment System for the Iberian Peninsula (SERCA). This paper is focused on the formulation of DEM based on the GOCART aerosol model, along with its integration and execution into the air quality model. It also addresses the testing of the module and its evaluation by contrasting results against satellite products such as MODIS and CALIPSO and ground-level observations of aerosol optical thickness (AOT) and concentration levels of PM10 for different periods in July 2007. DEM was found capable of reproducing the spatial (horizontal and vertical) and temporal profiles of Saharan dust outbreaks into the Mediterranean basin and the Atlantic coast of Africa. Moreover, it was observed that its combination with CMAQ increased the correlation degree between observed and modelled PM10 concentrations at the selected monitoring locations. DEM also enhanced CMAQ capabilities to reproduce observed AOT, although significant underestimations remain. The implementation of CMAQ + DEM succeeded in capturing Saharan dust transport into the Iberian Peninsula, with contributions up to 25 and 14 μg m−3 in 1 h and 24 h average PM10 respectively. The general improvement of total PM10 predictions in Spain are however moderate. The analysis of model performance for the main PM components points out that remaining PM10 underestimation is due to dust local sources missing in the inventories and misrepresentation of organic aerosol processes, which constitutes the main areas for future improvement of CMAQ capabilities to simulate particulate matter within SERCA.

Comparison of NDVI fields obtained from different remote sensors

Satellite image data have become an important source of information for monitoring vegetation and mapping land cover at several scales. Beside this, the distribution and phenology of vegetation is largely associated with climate, terrain characteristics and human activity. Various vegetation indices have been developed for qualitative and quantitative assessment of vegetation using remote spectral measurements. In particular, sensors with spectral bands in the red (RED) and near-infrared (NIR) lend themselves well to vegetation monitoring and based on them [(NIR - RED) / (NIR + RED)] Normalized Difference Vegetation Index (NDVI) has been widespread used. Given that the characteristics of spectral bands in RED and NIR vary distinctly from sensor to sensor, NDVI values based on data from different instruments will not be directly comparable. The spatial resolution also varies significantly between sensors, as well as within a given scene in the case of wide-angle and oblique sensors. As a result, NDVI values will vary according to combinations of the heterogeneity and scale of terrestrial surfaces and pixel footprint sizes. Therefore, the question arises as to the impact of differences in spectral and spatial resolutions on vegetation indices like the NDVI and their interpretation as a drought index. During 2012 three locations (at Salamanca, Granada and Córdoba) were selected and a periodic pasture monitoring and botanic composition were achieved. Daily precipitation, temperature and monthly soil water content were measurement as well as fresh and dry pasture weight. At the same time, remote sensing images were capture by DEIMOS-1 and MODIS of the chosen places. DEIMOS-1 is based on the concept Microsat-100 from Surrey. It is conceived for obtaining Earth images with a good enough resolution to study the terrestrial vegetation cover (20x20 m), although with a great range of visual field (600 km) in order to obtain those images with high temporal resolution and at a reduced cost. By contranst, MODIS images present a much lower spatial resolution (500x500 m). The aim of this study is to establish a comparison between two different sensors in their NDVI values at different spatial resolutions. Acknowledgements. This work was partially supported by ENESA under project P10 0220C-823. Funding provided by Spanish Ministerio de Ciencia e Innovación (MICINN) through project no. MTM2009-14621 and i-MATH No. CSD2006-00032 is greatly appreciated.

Detección de patrones y anomalías espectrales del terreno mediante espectrometría de imagen de alta resolución : reconocimiento, optimización y evaluación multiescenario

El objeto de esta Tesis doctoral es el desarrollo de una metodologia para la deteccion automatica de anomalias a partir de datos hiperespectrales o espectrometria de imagen, y su cartografiado bajo diferentes condiciones tipologicas de superficie y terreno. La tecnologia hiperespectral o espectrometria de imagen ofrece la posibilidad potencial de caracterizar con precision el estado de los materiales que conforman las diversas superficies en base a su respuesta espectral. Este estado suele ser variable, mientras que las observaciones se producen en un numero limitado y para determinadas condiciones de iluminacion. Al aumentar el numero de bandas espectrales aumenta tambien el numero de muestras necesarias para definir espectralmente las clases en lo que se conoce como Maldicion de la Dimensionalidad o Efecto Hughes (Bellman, 1957), muestras habitualmente no disponibles y costosas de obtener, no hay mas que pensar en lo que ello implica en la Exploracion Planetaria. Bajo la definicion de anomalia en su sentido espectral como la respuesta significativamente diferente de un pixel de imagen respecto de su entorno, el objeto central abordado en la Tesis estriba primero en como reducir la dimensionalidad de la informacion en los datos hiperespectrales, discriminando la mas significativa para la deteccion de respuestas anomalas, y segundo, en establecer la relacion entre anomalias espectrales detectadas y lo que hemos denominado anomalias informacionales, es decir, anomalias que aportan algun tipo de informacion real de las superficies o materiales que las producen. En la deteccion de respuestas anomalas se asume un no conocimiento previo de los objetivos, de tal manera que los pixeles se separan automaticamente en funcion de su informacion espectral significativamente diferenciada respecto de un fondo que se estima, bien de manera global para toda la escena, bien localmente por segmentacion de la imagen. La metodologia desarrollada se ha centrado en la implicacion de la definicion estadistica del fondo espectral, proponiendo un nuevo enfoque que permite discriminar anomalias respecto fondos segmentados en diferentes grupos de longitudes de onda del espectro, explotando la potencialidad de separacion entre el espectro electromagnetico reflectivo y emisivo. Se ha estudiado la eficiencia de los principales algoritmos de deteccion de anomalias, contrastando los resultados del algoritmo RX (Reed and Xiaoli, 1990) adoptado como estandar por la comunidad cientifica, con el metodo UTD (Uniform Targets Detector), su variante RXD-UTD, metodos basados en subespacios SSRX (Subspace RX) y metodo basados en proyecciones de subespacios de imagen, como OSPRX (Orthogonal Subspace Projection RX) y PP (Projection Pursuit). Se ha desarrollado un nuevo metodo, evaluado y contrastado por los anteriores, que supone una variacion de PP y describe el fondo espectral mediante el analisis discriminante de bandas del espectro electromagnetico, separando las anomalias con el algortimo denominado Detector de Anomalias de Fondo Termico o DAFT aplicable a sensores que registran datos en el espectro emisivo. Se han evaluado los diferentes metodos de deteccion de anomalias en rangos del espectro electromagnetico del visible e infrarrojo cercano (Visible and Near Infrared-VNIR), infrarrojo de onda corta (Short Wavelenght Infrared-SWIR), infrarrojo medio (Meadle Infrared-MIR) e infrarrojo termico (Thermal Infrared-TIR). La respuesta de las superficies en las distintas longitudes de onda del espectro electromagnetico junto con su entorno, influyen en el tipo y frecuencia de las anomalias espectrales que puedan provocar. Es por ello que se han utilizado en la investigacion cubos de datos hiperepectrales procedentes de los sensores aeroportados cuya estrategia y diseno en la construccion espectrometrica de la imagen difiere. Se han evaluado conjuntos de datos de test de los sensores AHS (Airborne Hyperspectral System), HyMAP Imaging Spectrometer, CASI (Compact Airborne Spectrographic Imager), AVIRIS (Airborne Visible Infrared Imaging Spectrometer), HYDICE (Hyperspectral Digital Imagery Collection Experiment) y MASTER (MODIS/ASTER Simulator). Se han disenado experimentos sobre ambitos naturales, urbanos y semiurbanos de diferente complejidad. Se ha evaluado el comportamiento de los diferentes detectores de anomalias a traves de 23 tests correspondientes a 15 areas de estudio agrupados en 6 espacios o escenarios: Urbano - E1, Semiurbano/Industrial/Periferia Urbana - E2, Forestal - E3, Agricola - E4, Geologico/Volcanico - E5 y Otros Espacios Agua, Nubes y Sombras - E6. El tipo de sensores evaluados se caracteriza por registrar imagenes en un amplio rango de bandas, estrechas y contiguas, del espectro electromagnetico. La Tesis se ha centrado en el desarrollo de tecnicas que permiten separar y extraer automaticamente pixeles o grupos de pixeles cuya firma espectral difiere de manera discriminante de las que tiene alrededor, adoptando para ello como espacio muestral parte o el conjunto de las bandas espectrales en las que ha registrado radiancia el sensor hiperespectral. Un factor a tener en cuenta en la investigacion ha sido el propio instrumento de medida, es decir, la caracterizacion de los distintos subsistemas, sensores imagen y auxiliares, que intervienen en el proceso. Para poder emplear cuantitativamente los datos medidos ha sido necesario definir las relaciones espaciales y espectrales del sensor con la superficie observada y las potenciales anomalias y patrones objetivos de deteccion. Se ha analizado la repercusion que en la deteccion de anomalias tiene el tipo de sensor, tanto en su configuracion espectral como en las estrategias de diseno a la hora de registrar la radiacion prodecente de las superficies, siendo los dos tipos principales de sensores estudiados los barredores o escaneres de espejo giratorio (whiskbroom) y los barredores o escaneres de empuje (pushbroom). Se han definido distintos escenarios en la investigacion, lo que ha permitido abarcar una amplia variabilidad de entornos geomorfologicos y de tipos de coberturas, en ambientes mediterraneos, de latitudes medias y tropicales. En resumen, esta Tesis presenta una tecnica de deteccion de anomalias para datos hiperespectrales denominada DAFT en su variante de PP, basada en una reduccion de la dimensionalidad proyectando el fondo en un rango de longitudes de onda del espectro termico distinto de la proyeccion de las anomalias u objetivos sin firma espectral conocida. La metodologia propuesta ha sido probada con imagenes hiperespectrales reales de diferentes sensores y en diferentes escenarios o espacios, por lo tanto de diferente fondo espectral tambien, donde los resultados muestran los beneficios de la aproximacion en la deteccion de una gran variedad de objetos cuyas firmas espectrales tienen suficiente desviacion respecto del fondo. La tecnica resulta ser automatica en el sentido de que no hay necesidad de ajuste de parametros, dando resultados significativos en todos los casos. Incluso los objetos de tamano subpixel, que no pueden distinguirse a simple vista por el ojo humano en la imagen original, pueden ser detectados como anomalias. Ademas, se realiza una comparacion entre el enfoque propuesto, la popular tecnica RX y otros detectores tanto en su modalidad global como local. El metodo propuesto supera a los demas en determinados escenarios, demostrando su capacidad para reducir la proporcion de falsas alarmas. Los resultados del algoritmo automatico DAFT desarrollado, han demostrado la mejora en la definicion cualitativa de las anomalias espectrales que identifican a entidades diferentes en o bajo superficie, reemplazando para ello el modelo clasico de distribucion normal con un metodo robusto que contempla distintas alternativas desde el momento mismo de la adquisicion del dato hiperespectral. Para su consecucion ha sido necesario analizar la relacion entre parametros biofisicos, como la reflectancia y la emisividad de los materiales, y la distribucion espacial de entidades detectadas respecto de su entorno. Por ultimo, el algoritmo DAFT ha sido elegido como el mas adecuado para sensores que adquieren datos en el TIR, ya que presenta el mejor acuerdo con los datos de referencia, demostrando una gran eficacia computacional que facilita su implementacion en un sistema de cartografia que proyecte de forma automatica en un marco geografico de referencia las anomalias detectadas, lo que confirma un significativo avance hacia un sistema en lo que se denomina cartografia en tiempo real. The aim of this Thesis is to develop a specific methodology in order to be applied in automatic detection anomalies processes using hyperspectral data also called hyperspectral scenes, and to improve the classification processes. Several scenarios, areas and their relationship with surfaces and objects have been tested. The spectral characteristics of reflectance parameter and emissivity in the pattern recognition of urban materials in several hyperspectral scenes have also been tested. Spectral ranges of the visible-near infrared (VNIR), shortwave infrared (SWIR) and thermal infrared (TIR) from hyperspectral data cubes of AHS (Airborne Hyperspectral System), HyMAP Imaging Spectrometer, CASI (Compact Airborne Spectrographic Imager), AVIRIS (Airborne Visible Infrared Imaging Spectrometer), HYDICE (Hyperspectral Digital Imagery Collection Experiment) and MASTER (MODIS/ASTER Simulator) have been used in this research. It is assumed that there is not prior knowledge of the targets in anomaly detection. Thus, the pixels are automatically separated according to their spectral information, significantly differentiated with respect to a background, either globally for the full scene, or locally by the image segmentation. Several experiments on different scenarios have been designed, analyzing the behavior of the standard RX anomaly detector and different methods based on subspace, image projection and segmentation-based anomaly detection methods. Results and their consequences in unsupervised classification processes are discussed. Detection of spectral anomalies aims at extracting automatically pixels that show significant responses in relation of their surroundings. This Thesis deals with the unsupervised technique of target detection, also called anomaly detection. Since this technique assumes no prior knowledge about the target or the statistical characteristics of the data, the only available option is to look for objects that are differentiated from the background. Several methods have been developed in the last decades, allowing a better understanding of the relationships between the image dimensionality and the optimization of search procedures as well as the subpixel differentiation of the spectral mixture and its implications in anomalous responses. In other sense, image spectrometry has proven to be efficient in the characterization of materials, based on statistical methods using a specific reflection and absorption bands. Spectral configurations in the VNIR, SWIR and TIR have been successfully used for mapping materials in different urban scenarios. There has been an increasing interest in the use of high resolution data (both spatial and spectral) to detect small objects and to discriminate surfaces in areas with urban complexity. This has come to be known as target detection which can be either supervised or unsupervised. In supervised target detection, algorithms lean on prior knowledge, such as the spectral signature. The detection process for matching signatures is not straightforward due to the complications of converting data airborne sensor with material spectra in the ground. This could be further complicated by the large number of possible objects of interest, as well as uncertainty as to the reflectance or emissivity of these objects and surfaces. An important objective in this research is to establish relationships that allow linking spectral anomalies with what can be called informational anomalies and, therefore, identify information related to anomalous responses in some places rather than simply spotting differences from the background. The development in recent years of new hyperspectral sensors and techniques, widen the possibilities for applications in remote sensing of the Earth. Remote sensing systems measure and record electromagnetic disturbances that the surveyed objects induce in their surroundings, by means of different sensors mounted on airborne or space platforms. Map updating is important for management and decisions making people, because of the fast changes that usually happen in natural, urban and semi urban areas. It is necessary to optimize the methodology for obtaining the best from remote sensing techniques from hyperspectral data. The first problem with hyperspectral data is to reduce the dimensionality, keeping the maximum amount of information. Hyperspectral sensors augment considerably the amount of information, this allows us to obtain a better precision on the separation of material but at the same time it is necessary to calculate a bigger number of parameters, and the precision lowers with the increase in the number of bands. This is known as the Hughes effects (Bellman, 1957) . Hyperspectral imagery allows us to discriminate between a huge number of different materials however some land and urban covers are made up with similar material and respond similarly which produces confusion in the classification. The training and the algorithm used for mapping are also important for the final result and some properties of thermal spectrum for detecting land cover will be studied. In summary, this Thesis presents a new technique for anomaly detection in hyperspectral data called DAFT, as a PP's variant, based on dimensionality reduction by projecting anomalies or targets with unknown spectral signature to the background, in a range thermal spectrum wavelengths. The proposed methodology has been tested with hyperspectral images from different imaging spectrometers corresponding to several places or scenarios, therefore with different spectral background. The results show the benefits of the approach to the detection of a variety of targets whose spectral signatures have sufficient deviation in relation to the background. DAFT is an automated technique in the sense that there is not necessary to adjust parameters, providing significant results in all cases. Subpixel anomalies which cannot be distinguished by the human eye, on the original image, however can be detected as outliers due to the projection of the VNIR end members with a very strong thermal contrast. Furthermore, a comparison between the proposed approach and the well-known RX detector is performed at both modes, global and local. The proposed method outperforms the existents in particular scenarios, demonstrating its performance to reduce the probability of false alarms. The results of the automatic algorithm DAFT have demonstrated improvement in the qualitative definition of the spectral anomalies by replacing the classical model by the normal distribution with a robust method. For their achievement has been necessary to analyze the relationship between biophysical parameters such as reflectance and emissivity, and the spatial distribution of detected entities with respect to their environment, as for example some buried or semi-buried materials, or building covers of asbestos, cellular polycarbonate-PVC or metal composites. Finally, the DAFT method has been chosen as the most suitable for anomaly detection using imaging spectrometers that acquire them in the thermal infrared spectrum, since it presents the best results in comparison with the reference data, demonstrating great computational efficiency that facilitates its implementation in a mapping system towards, what is called, Real-Time Mapping.

Bioaccessibility of heavy metals and risk assessment in urban gardens of Madrid

Human health problems and solutions. Urban gardening has spread worldwide in recent years as it enhances food security and selfsupply and promotes community integration. However urban soils are significantly enriched in trace elements relative to background levels. Exposure to the soil in urban gardens may therefore result in adverse health effects depending on the degree of contact during gardening, infant recreational activities and ingestion of vegetables grown in them. In order to evaluate this potential risk, 36 composite samples were collected from the top 20 cm of the soil of 6 urban gardens in Madrid. The aqua regia (pseudototal) and glycine-extractable (bioaccessible) concentrations of Co, Cr, Cu, Ni, Pb and Zn were determined by atomic absorption spectrophotometry. Additionally, pH, texture, Fe, Ca, and Mn concentrations, and organic matter and calcium carbonate contents were determined in all urban gardens and their influence on trace element bioaccessibility was analyzed.

Bioaccessibility of metals and human health risk assessment in community urban gardens

Pseudo-total (i.e. aqua regia extractable) and gastric-bioaccessible (i.e. glycine + HCl extractable) concentrations of Ca, Co, Cr, Cu, Fe, Mn, Ni, Pb and Zn were determined in a total of 48 samples collected from six community urban gardens of different characteristics in the city of Madrid (Spain). Calcium carbonate appears to be the soil property that determines the bioaccessibility of a majority of those elements, and the lack of influence of organic matter, pH and texture can be explained by their low levels in the samples (organic matter) or their narrow range of variation (pH and texture). A conservative risk assessment with bioaccessible concentrations in two scenarios, i.e. adult urban farmers and children playing in urban gardens, revealed acceptable levels of risk, but with large differences between urban gardens depending on their history of land use and their proximity to busy areas in the city center. Only in a worst-case scenario in which children who use urban gardens as recreational areas also eat the produce grown in them would the risk exceed the limits of acceptability

Bioaccesibilidad de elementos traza en suelos de parques infantiles. Aplicación al análisis de riesgo

En este trabajo doctoral se evaluó la bioaccesibilidad in vitro para As, Co, Cr, Cu, Ni, Pb y Zn (en la fracción menor de 100μm) por tres procedimientos distintos en 32 muestras de suelo superficial, recogidas en 16 parques infantiles de la ciudad de Madrid.. Dos de los métodos de extracción (SBET y extracción con HCl a pH=1.5) reproducen únicamente la fase gástrica, mientras que otro (RIVM) tiene en cuenta un proceso completo de digestión (gástrico+intestinal). La bioaccesibilidad (%) se definió frente a las concentraciones pseudototales de los elementos traza estudiados (agua regia), utilizando un modelo de regresión lineal pasando por el origen. Los dos métodos gástricos ofrecieron resultados similares y consistentes con datos de otros estudios, siendo el orden de bioaccesibilidad As ≈ Cu ≈ Pb ≈ Zn > Co > Ni > Cr, con rangos entre el 63 y el 7%. Para el procedimiento RIVM (gástrico + intestinal) se obtuvieron valores de un orden similar a los obtenidos en fase gástrica para los elementos As, Cu, Pb y Zn (muy similares para el Zn, algo superiores para Cu y Pb, y algo inferiores para As). Por el contrario, la bioaccesibilidad de Co y Cu es, en este caso, muy superior a la resultante de los ensayos en fase gástrica. El orden de bioaccesibilidad es Co ≈ Cu ≈ Pb > As ≈ Cr ≈ Zn, con rangos entre el 42 y el 69%. Los resultados de los tres procedimientos evaluados correlacionan muy intensamente para los elementos traza As, Cu, Pb y Zn, existiendo intensas correlaciones entre casi todos los elementos estudiados para las dos fases gástricas, no siendo así en el ensayo de digestión completa. Se estudiaron algunas propiedades físico-químicas de los suelos muestreados, así como su composición en algunos elementos mayoritarios con el objeto de evaluar su influencia sobre la bioaccesibilidad. Se observa una dependencia de la bioaccesibilidad (%) de distintos elementos respecto a algunas propiedades de los suelos estudiados, tales como: contenido en Fe, Ca (carbonatos) y P, materia orgánica y pH. El contenido en Fe resulta ser muy relevante en cuanto a la bioaccesibilidad obtenida. En todos los casos correlaciona negativamente con el porcentaje de bioaccesibilidad siendo más significativo este fenómeno en el caso de las extracciones en fase gástrica. Se sugiere que dada la baja solubilización de los óxidos de hierro en los medios extractantes empleados hay una fuerte adsorción de complejos aniónicos (metal-anión cloruro) sobre la superficie de estos óxidos de Fe, con la consiguientes disminución de la bioaccesibilidad. En cuanto al contenido en calcio (carbonatos) este dato parece muy relevante si nos referimos a la bioaccesibilidad del As. Efectivamente el As aparece ligado al Ca del suelo y su solubilización en medios ácidos implicaría un aumento de la bioaccesibilidad del As, mientras que su precipitación al pasar a pH básico (fase intestinal) provocaría una disminución de la bioaccesibilidad. La materia orgánica sólo se ha demostrado relevante respecto a los contenidos pseudototales para el Zn. Para el porcentaje de bioaccesibilidad es significativo para muchos elementos en los ensayos en fase gástrica. La influencia del pH de los suelos estudiados sólo parece ser muy significativo en el caso del Cr. Los valores altamente homogéneos del pH de los suelos estudiados sin duda hacen que este parámetro no resulte significativo para más elementos, tal como se desprende de estudios anteriores. ABSTRACT A total of 32 samples of superficial soil were collected from 16 playground areas in Madrid. The in vitro bioaccessibility of As, Co, Cr, Ni, Pb and Zn (fraction below 100μm) was evaluated by means of three extraction processes. Two of them (SBET and HCl-extraction, pH=1.5) simulate the gastric enviroment, while the other one (RIVM) reproduces a gastric+intestinal digestion sequence. Bioaccessibility (%) was compared against pseudo-total concentrations of trace elements studied (aqua regia) with a linear regression model (forced to intercept the origin) Both gastric methods offered very similar and consistent results with data from other studies, with bioaccessibilities following the order: As ≈ Cu ≈ Pb ≈ Zn > Co > Ni > Cr, and ranging from 63% to 7% The values obtained through RIVM (gastric+ intestinal) method are similar to those obtained in gastric environment for elements: As, Cu, Pb and Zn (very similar to Zn, to a higher extent Cu and Pb, and to a lower extent As). On the contrary the bioaccessibility obtained for elements Co and Cu is considerable higher than in gastric environment sequence. Bioaccessibilities follows the order Co ≈ Cu ≈ Pb >As ≈ Cr ≈ Zn, ranging between 42 and 69%. The three procedures used correlate very intensively to trace elements As,Cu, Pb and Zn, existing strong correlations between almost all elements studied for the two gastric environment, not in the case of the complete digestion sequence. Some soil physical – chemical properties selected were studied, as well as their composition in some main elements in order to assess their influence on bioaccessibility. A dependence was observed between different elements bioaccesibility (%) and some soil properties, such as: Fe, Ca (carbonate) content and P, organic matter and pH. Fe content becomes very relevant regarding the bioaccessibility obtained. In all cases it correlated negatively with bioaccessibility percentage being more significant this phenomenon in gastric environment extractions. It is suggested that given the low solubility of iron oxide in the extractant media used there has to be a strong adsorption of anionic complexes (metal – chloride anion) on these Fe oxides surface, with a consequent decrease of bioaccessibility. Regarding calcium (carbonate) content this data seems very relevant referred to As bioaccessibility. Indeed, As appears to be bound to soil Ca and its solubilisation in acid media would increase As bioaccessibility, while its precipitation at basic pH (intestinal environment) would cause a reduction in bioaccessibility. The influence of organic matter only seemed significant for Zn “total” content, while it is significant in terms of gastric bioaccessibility for many elements. Soil pH only seems to be very significant in case of Cr. The highly homogeneous values for soil pH makes the influence of this parameter negligible for the other elements, unlike what has been observed in several previous studies.

Application of Vegetation Indices to Estimate Acorn Production at Iberian

The Iberian pig valued natural resources of the pasture when fattened in mountain. The variability of acorn production is not contained in any line of Spanish agricultural insurance. However, the production of arable pasture is covered by line insurance number 133 for loss of pasture compensation. This scenario is only contemplated for breeding cows and brave bulls, sheep, goats and horses, although pigs are not included. This insurance is established by monitoring ten-day composites Normalized Difference Vegetation Index (NDVI) measured by satellite over treeless pastures, using MODIS TERRA satellite. The aim of this work is to check if we can use a satellite vegetation index to estimate the production of acorns.

Identification and characterization of periplasmic proteins implicated in the adaptation of Helicobacter pylori to the human gastric niche

Helicobacter pylori è un batterio Gram-negativo in grado di colonizzare la mucosa gastrica umana e persistere per l'intero arco della vita dell'ospite. E' associato a patologie gastrointestinali, quali gastrite cronica, ulcere gastriche e duodenali, adenocarcinomi e linfomi gastrici. Si tratta di uno dei patogeni più diffusi, presente in circa metà della popolazione mondiale, e il solo che si è adattato a vivere nell'ambiente ostile dello stomaco umano. Molteplici sono i fattori di virulenza che permettono al batterio la colonizzazione della nicchia gastrica e contribuiscono, anche attraverso l' induzione di una risposta infiammatoria, a profonde modificazioni dell' omeostasi gastrica. Queste ultime si associano, ad esempio, all'iperproduzione di fattori proinfiammatori, ad alterazioni sia della regolazione della secrezione acida gastrica sia del ciclo cellulare e della morte cellulare programmata (apoptosi) delle cellule epiteliali gastriche, a disordini nel metabolismo del ferro e a carenze di elementi essenziali. Studi sulla diversità genetica di H. pylori osservata in ceppi isolati da varie regioni del mondo, dimostrano che tale batterio ha avuto una coevoluzione col genere umano attraverso la storia, ed è verosimile che H. pylori sia stato un costituente del microbiota gastrico per almeno 50.000 anni. Scopo della tesi è stato quello di identificare e caratterizzare proteine importanti per la colonizzazione e l'adattamento di H. pylori alla nicchia gastrica. In particolare gli sforzi si sono concentrati su due proteine periplasmatiche, la prima coinvolta nella difesa antiossidante (l'enzima catalasi-like, HP0485), e la seconda nel trasporto di nutrienti presenti nell'ambiente dello stomaco all'interno della cellula (la componente solubile di un ABC transporter, HP0298). La strategia utilizzata prevede un'analisi bioinformatica preliminare, l'ottenimento del gene per amplificazione, mediante PCR, dal genoma dell'organismo, la costruzione di un vettore per il clonaggio, l'espressione eterologa in E. coli e la successiva purificazione. La proteina così ottenuta viene caratterizzata mediante diverse tecniche, quali spettroscopia UV, dicroismo circolare, gel filtrazione analitica, spettrometria di massa. Il capitolo 1 contiene un'introduzione generale sul batterio, il capitolo 2 e il capitolo 3 descrivono gli studi relativi alle due proteine e sono entrambi suddivisi in un abstract iniziale, un'introduzione, la presentazione dei risultati, la discussione di questi ultimi, i materiali e i metodi utilizzati. La catalasi-like (HP0485) è una proteina periplasmatica con struttura monomerica, appartenente ad una famiglia di enzimi a funzione per la maggior parte sconosciuta, ma evolutivamente correlati alla ben nota catalasi, attore fondamentale nella difesa di H. pylori, grazie alla sua azione specifica di rimozione dell'acqua ossigenata. HP0485, pur conservando il fold catalasico e il legame al cofattore eme, non può compiere la reazione di dismutazione dell'acqua ossigenata; possiede invece un'attività perossidasica ad ampio spettro, essendo in grado di accoppiare la riduzione del perossido di idrogeno all'ossidazione di diversi substrati. Come la catalasi, lavora ad alte concentrazioni di aqua ossigenata e non arriva a saturazione a concentrazioni molto elevate di questo substrato (200 mM); la velocità di reazione catalizzata rimane lineare anche a questi valori, aspetto che la differenzia dalle perossidasi che vengono in genere inattivate da concentrazioni di perossido di idrogeno superiori a 10-50 mM. Queste caratteristiche di versatilità e robustezza suggeriscono che la catalasi-like abbia un ruolo di scavenger dell'acqua ossigenata e probabilmente anche un'altra funzione connessa al suo secondo substrato, ossia l'ossidazione di composti nello spazio periplasmatico cellulare. Oltre alla caratterizzazione dell'attività è descritta anche la presenza di un ponte disolfuro, conservato nelle catalasi-like periplasmatiche, con un ruolo nell'assemblaggio dell'eme per ottenere un enzima attivo e funzionale. La proteina periplasmatica HP0298, componente di un sistema di trasporto ABC, è classificata come trasportatore di dipeptidi e appartiene a una famiglia di proteine in grado di legare diversi substrati, tra cui di- e oligopeptidi, nichel, eme, glutatione. Benchè tutte associate a trasportatori di membrana batterici, queste proteine presentano un dominio di legame al substrato che risulta essere conservato nei domini extracellulari di recettori specifici di mammifero e uomo. Un esempio sono i recettori ionotropici e metabotropici del sistema nervoso. Per caratterizzare questa proteina è stato messo a punto un protocollo di ligand-fishing accoppiato alla spettrometria di massa. La proteina purificata, avente un tag di istidine, è stata incubata con un estratto cellulare di H. pylori per poter interagire con il suo substrato specifico all'interno dell'ambiente naturale in cui avviene il legame. Il complesso proteina-ligando è stato poi purificato per cromatografia di affinità e analizzato mediante HPLC-MS. L'identificazione dei picchi differenziali tra campioni con la proteina e 5 campioni di controllo ha portato alla caratterizzazione di pentapeptidi particolarmente ricchi in aminoacidi idrofobici e con almeno un residuo carico negativamente. Considerando che H. pylori necessita di alcuni aminoacidi essenziali, per la maggior parte idrofobici, e che lo stomaco umano è particolarmente ricco di peptidi prodotti dalla digestione delle proteine introdotte con il cibo, il ruolo fisiologico di HP0298 potrebbe essere l'internalizzazione di peptidi, con caratteristiche specifiche di lunghezza e composizione, che sono naturalmente presenti nella nicchia gastrica.