Residuos orgánicos como fuentes de fósforo

En este trabajo, se han llevado a cabo distintos experimentos en laboratorio, con el objetivo de estudiar el efecto de la aplicación de residuos orgánicos como fuentes de P en las pérdidas de este elemento, que se producen en suelo, tanto por escorrentía superficial como por lixiviación. El interés por evaluar las pérdidas de P se debe a la necesidad de conocer mejor los factores que influyen en los procesos de pérdidas de este elemento y así, poder reducir los problemas de eutrofización de aguas, tanto superficiales como subterráneas, provocadas por un exceso de este nutriente, junto con otros como el nitrógeno. Los trabajos experimentales que se han llevado a cabo se detallan a continuación: Se ha realizado el estudio de las formas de P contenidas en una serie de 14 residuos orgánicos, de distinto origen y tratamiento (compost, lodos, purines y digestato), comparando la información aportada por tres protocolos de fraccionamientos de P diferentes, seleccionados entre los principales métodos utilizados: protocolo de fraccionamiento de Ruttemberg (1992), protocolo de Normas, medidas y ensayos (Ruban et al., 2001a) y protocolo de Huang et al. (2008). Todos los métodos de fraccionamiento empleados aportaron información útil para conocer las formas de P de los residuos, a pesar de que alguno de ellos fue descrito para sedimentos o suelos. Sin embargo, resulta difícil comparar los resultados entre unos y otros, ya que cada uno emplea extractantes y tiempos de ensayos diferentes. Las cantidades de P total determinadas por cada método mantienen una relación lineal, aunque el método SMT, por ser más directo, obtiene las cantidades más elevadas para todos los residuos. Los métodos secuenciales (métodos de Huang y Ruttemberg), a pesar de ser más largos y tediosos, aportan información más detallada de la disponibilidad de las formas de P, y con ello, permiten obtener una mejor estimación de las pérdidas potenciales de este elemento tras su aplicación en suelo. Se han encontrado relaciones positivas entre las fracciones determinadas por estos dos métodos. Así mismo, se encuentra una correlación entre las formas solubles de P y la concentración de los iones [Ca + Fe + Al] de los residuos, útiles como indicadores de la disponibilidad de este elemento. Sin embargo, el protocolo SMT, no obtiene información de la solubilidad o disponibilidad de las formas de P contenidas, ni las formas determinadas mantienen relaciones directas con las de los otros métodos, con excepción del P total. Para el estudio del comportamiento de los residuos aplicados en suelos, se pusieron a punto sistemas de lluvia simulada, con el objetivo de caracterizar las pérdidas de P en la escorrentía superficial generada. Por otra parte, se emplearon columnas de suelos enmendados con residuos orgánicos, para el estudio de las pérdidas de P por lixiviación. Los ensayos de simulación de lluvia se llevaron a cabo de acuerdo al “National Phosphorus Research proyect“ (2001), que consigue simular eventos sucesivos de lluvia en unas condiciones semejantes a la realidad, empleando cajas llenas de suelo del horizonte superficial, con residuos aplicados tanto superficialmente como mediante mezcla con el propio suelo. Los ensayos se realizaron con seis residuos de diferente naturaleza y sometidos a distintos tratamientos. Se encontraron diferencias significativas en las pérdidas de las formas de P analizadas, tanto disueltas como particuladas, en las aguas de escorrentía generadas. En general, las pérdidas en el primer evento de lluvia tras la aplicación de los residuos fueron mayores a las generadas en el segundo evento, predominando las formas de P particuladas respecto a las disueltas en ambos. Se encontró una relación positiva entre las pérdidas de P en las aguas de escorrentía generadas en cada ensayo, con los contenidos de P soluble en agua y fácilmente disponible de los residuos empleados, determinados por los protocolos de fraccionamientos secuenciales. Además, se emplearon los modelos matemáticos desarrollados por Vadas et al. (2005, 2007), de evaluación de las pérdidas de P por escorrentía para fertilizantes y estiércoles. La predicción de estos modelos no se cumple en el caso de todos los residuos. Las distintas propiedades físicas de los residuos pueden afectar a las diferencias entre las pérdidas experimentales y las esperadas. Los ensayos de simulación del proceso de lixiviación se llevaron a cabo en columnas de percolación, con suelos enmendados con residuos orgánicos, de acuerdo a la norma “CEN/TS 14405–2004: Caracterización de los residuos – Test de comportamiento de lixiviación – Test de flujo ascendente”. Las pérdidas de P por procesos de lixiviación de agua, han sido despreciadas durante mucho tiempo respecto a las pérdidas por escorrentía. Sin embargo, se ha demostrado que deben tenerse en consideración, principalmente en algunos tipos de suelos o zonas cercanas a acuíferos. Se utilizaron tres suelos de distinta procedencia para los ensayos, de manera que se pudo estudiar la influencia del tipo de suelo en las pérdidas de P para cada tipo de residuo (purín, compost, digestato y lodo de EDAR). Los índices de adsorción de P determinados para cada suelo permiten evaluar aquellos que presentarán más riesgo de producir pérdidas de este elemento al aplicarse fuentes externas de P, encontrando una relación positiva entre ambos. Las pérdidas de P en los lixiviados varían en función tanto del residuo como del suelo empleado. Para el compost, el purín y el lodo, se encontró una relación entre las pérdidas generadas en el agua lixiviada de las columnas y las formas de P soluble contenidas en los residuos. Sin embargo, en el caso del digestato, no existía esta correlación. Las pérdidas para este residuo fueron en todos los casos menores a las estimadas, considerando las formas de P contenido. El estudio de la mojabilidad, propiedad física del residuo que evalúa la capacidad de interacción residuo-agua, permitió explicar el comportamiento anómalo de este residuo, con una mayor resistencia a que el agua entrara en su estructura y por tanto, una mayor dificultad de solubilizar el P contenido en el propio residuo, que en el caso de otros residuos. En general, podemos considerar que el estudio de las formas de P más disponibles o solubles en agua, aporta información útil de las pérdidas potenciales de P. Sin embargo, es necesario estudiar las propiedades físicas de los residuos orgánicos aplicados y la capacidad de adsorción de P de los suelos, para estimar las pérdidas de P y con ello, colaborar a controlar los procesos de eutrofización en aguas. ABSTRACT This dissertation explores the effect of organic wastes application as sources of P in losses of this element that occur by both surface runoff and leaching in soil. To do so, diverse laboratory experiments are conducted and presented here. Evaluating P losses is necessary to better understand the factors that influence the processes behind the loss of this element. Reducing P losses reduces eutrophication problems of both surface water and groundwater caused by an excess of this nutrient, along with other as nitrogen. Details of the experiments are presented below: The first experiment studies the forms of P contained in a series of 14 organic wastes of different origin and treatment (compost, sludge, slurry and digestate), comparing the information provided by three methods of P fractionation. The methods selected were: Ruttemberg protocol (1992); Standards, Measurements and Testing protocol (Ruban et al., 2001a); and Huang protocol (Huang et al., 2008). All fractionation methods employed successfully contribute to our knowledge of P forms in wastes, even though one of them was originally described for sediments or soils information. However, it is difficult to compare results among each other, as each protocol employs different extractants and time in the trials. Total amounts of P obtained by each method show a linear relationship, although the SMT method, which is more direct, obtains the highest amounts for all residues. Sequential methods (Huang and Ruttemberg’s protocols), despite being longer and more tedious, provide more detailed information on the availability of the forms of P. Therefore, allow the estimation of the potential losses of P after application in soil. Furthermore, positive relationships have been found among fractions obtained by these methods. Positive relationship has been found also among soluble forms of P and the concentration of ions Fe + Ca + Al, which is useful as an indicator of the availability of this element. However, the SMT protocol does not collect information about solubility or availability of forms of P contained; neither do certain forms maintain direct relations with the forms from other methods, with the exception of total P methods. To study the behavior of wastes applied to soils two experiments were conducted. Simulated rain systems were prepared to characterize P losses in the surface runoff generated. In addition, columns of soils amended with organic waste were developed for the study of P leaching losses. Simulated rain systems were carried out according to the ’National Phosphorus Research Project’ (2001), which manages to simulate successive rainfall events in conditions resembling reality. The experiment uses boxes filled with soil from the surface horizon amended with residues, both superficially and by mixing with the soil. Tests were conducted with six residues of different type and subjected to diverse treatments. Findings show significant differences in losses of the P forms analyzed in the generated runoff water, in both solution and particulate forms. In general, losses in the first rainfall event after application of waste were higher than the losses generated in the second event, predominating particulate forms of P over dissolved forms in both events. In all trials, a positive relationship was found between various P forms determined by sequential fractionation protocols (water soluble P and readily available P forms) and P losses in runoff. Furthermore, results from Vadas´s mathematical models (Vadas et al., 2005; 2007) to assess P losses by runoff fertilizers and manures indicate that the prediction of this model is not fulfilled in the case of all residues. The diverse physical properties of wastes may affect the differences between experimental and expected losses. Finally, leaching simulation processes were carried out in percolation columns, filled with soils amended with organic wastes, following the ‘CEN/TS 14405-2004 standard: Characterization of waste - Leaching behavior test - Test Flow ascending ’. P losses by leaching have been neglected for a long time with respect to runoff losses. However, findings corroborate previous studies showing that these P losses have to be taken into account, especially in certain types of soils and in zones near aquifers. To study the influence of soil type on P losses, experiments were carried out with three different soils and for each type of waste (manure, compost, digestate and sludge WWTP). Each soil’s P adsorption rates allow assessing which soils imply a higher risk of P losses when external sources of P are applied. P losses in leachate vary according to the type of soil employed and according to the specific residue. In the case of compost, manure and sludge, there is a relationship between leaching losses and residues’ soluble forms of P. The exception being the digestate, where there was no such correlation. Digestate P losses by leaching were lower than expected in all cases considering the forms of P contained. Moreover, examining digestate wettability -- that is, the physical property of the residue that assesses the capacity of waste-water interaction -- allowed explaining the anomalous behavior of this residue. Digestate has a high resistance to water entering its structure and thus higher difficulty to solubilize the P contained. Overall, studying the more available or soluble P forms provides useful information about the potential loss of P. However, this dissertation shows that it is necessary to examine the physical properties of organic residues applied as well as the P adsorption capacity of soils to estimate P losses, and thus to control eutrophication in water.

Space-time Reconstruction of Oceanic Sea States via Variational Stereo Methods

We present a remote sensing observational method for the measurement of the spatio-temporal dynamics of ocean waves. Variational techniques are used to recover a coherent space-time reconstruction of oceanic sea states given stereo video imagery. The stereoscopic reconstruction problem is expressed in a variational optimization framework. There, we design an energy functional whose minimizer is the desired temporal sequence of wave heights. The functional combines photometric observations as well as spatial and temporal regularizers. A nested iterative scheme is devised to numerically solve, via 3-D multigrid methods, the system of partial differential equations resulting from the optimality condition of the energy functional. The output of our method is the coherent, simultaneous estimation of the wave surface height and radiance at multiple snapshots. We demonstrate our algorithm on real data collected off-shore. Statistical and spectral analysis are performed. Comparison with respect to an existing sequential method is analyzed.

Particle methods parallel implementations by GP-GPU strategies

This paper outlines the problems found in the parallelization of SPH (Smoothed Particle Hydrodynamics) algorithms using Graphics Processing Units. Different results of some parallel GPU implementations in terms of the speed-up and the scalability compared to the CPU sequential codes are shown. The most problematic stage in the GPU-SPH algorithms is the one responsible for locating neighboring particles and building the vectors where this information is stored, since these specific algorithms raise many dificulties for a data-level parallelization. Because of the fact that the neighbor location using linked lists does not show enough data-level parallelism, two new approaches have been pro- posed to minimize bank conflicts in the writing and subsequent reading of the neighbor lists. The first strategy proposes an efficient coordination between CPU-GPU, using GPU algorithms for those stages that allow a straight forward parallelization, and sequential CPU algorithms for those instructions that involve some kind of vector reduction. This coordination provides a relatively orderly reading of the neighbor lists in the interactions stage, achieving a speed-up factor of x47 in this stage. However, since the construction of the neighbor lists is quite expensive, it is achieved an overall speed-up of x41. The second strategy seeks to maximize the use of the GPU in the neighbor's location process by executing a specific vector sorting algorithm that allows some data-level parallelism. Al- though this strategy has succeeded in improving the speed-up on the stage of neighboring location, the global speed-up on the interactions stage falls, due to inefficient reading of the neighbor vectors. Some changes to these strategies are proposed, aimed at maximizing the computational load of the GPU and using the GPU texture-units, in order to reach the maximum speed-up for such codes. Different practical applications have been added to the mentioned GPU codes. First, the classical dam-break problem is studied. Second, the wave impact of the sloshing fluid contained in LNG vessel tanks is also simulated as a practical example of particle methods

Complete and efficient methods for supporting side effects in independent/restricted and-parallelism

It has been shown that it is possible to exploit Independent/Restricted And-parallelism in logic programs while retaining the conventional "don't know" semantics of such programs. In particular, it is possible to parallelize pure Prolog programs while maintaining the semantics of the language. However, when builtin side-effects (such as write or assert) appear in the program, if an identical observable behaviour to that of sequential Prolog implementations is to be preserved, such side-effects have to be properly sequenced. Previously proposed solutions to this problem are either incomplete (lacking, for example, backtracking semantics) or they force sequentialization of significant portions of the execution graph which could otherwise run in parallel. In this paper a series of side-effect synchronization methods are proposed which incur lower overhead and allow more parallelism than those previously proposed. Most importantly, and unlike previous proposals, they have well-defined backward execution behaviour and require only a small modification to a given (And-parallel) Prolog implementation.

Using quantitative descriptive analysis and temporal dominance of sensations analysis as complementary methods for profiling commercial blackcurrant squashes

Quantitative descriptive analysis (QDA) is used to describe the nature and the intensity of sensory properties from a single evaluation of a product, whereas temporal dominance of sensation (TDS) is primarily used to identify dominant sensory properties over time. Previous studies with TDS have focused on model systems, but this is the first study to use a sequential approach, i.e. QDA then TDS in measuring sensory properties of a commercial product category, using the same set of trained assessors (n = 11). The main objectives of this study were to: (1) investigate the benefits of using a sequential approach of QDA and TDS and (2) to explore the impact of the sample composition on taste and flavour perceptions in blackcurrant squashes. The present study has proposed an alternative way of determining the choice of attributes for TDS measurement based on data obtained from previous QDA studies, where available. Both methods indicated that the flavour profile was primarily influenced by the level of dilution and complexity of sample composition combined with blackcurrant juice content. In addition, artificial sweeteners were found to modify the quality of sweetness and could also contribute to bitter notes. Using QDA and TDS in tandem was shown to be more beneficial than each just on its own enabling a more complete sensory profile of the products.