960 resultados para Economics, General|Environmental Sciences


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La tecnología civil de pequeños vehículos aéreos no tripulados (miniUAV) puede representar una alternativa de bajo coste para fotografía digital al alcance de los presupuestos normales en aplicaciones de Conservación. Si la calidad y operatividad son suficientes, estos sistemas pueden ser una herramienta importante para adquirir información de alta resolución con la que apoyar la planificación y gestión de espacios protegidos. En este proyecto se han planificado 13 campañas en 7 sitios del Parque Natural del Montseny para el miniUAV ATMOS-4 de CATUAV, se han procesado las imágenes y se ha evaluado tanto la operatividad y calidad de los vuelos como de las imágenes adquiridas.

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In this study I try to explain the systemic problem of the low economic competitiveness of nuclear energy for the production of electricity by carrying out a biophysical analysis of its production process. Given the fact that neither econometric approaches nor onedimensional methods of energy analyses are effective, I introduce the concept of biophysical explanation as a quantitative analysis capable of handling the inherent ambiguity associated with the concept of energy. In particular, the quantities of energy, considered as relevant for the assessment, can only be measured and aggregated after having agreed on a pre-analytical definition of a grammar characterizing a given set of finite transformations. Using this grammar it becomes possible to provide a biophysical explanation for the low economic competitiveness of nuclear energy in the production of electricity. When comparing the various unit operations of the process of production of electricity with nuclear energy to the analogous unit operations of the process of production of fossil energy, we see that the various phases of the process are the same. The only difference is related to characteristics of the process associated with the generation of heat which are completely different in the two systems. Since the cost of production of fossil energy provides the base line of economic competitiveness of electricity, the (lack of) economic competitiveness of the production of electricity from nuclear energy can be studied, by comparing the biophysical costs associated with the different unit operations taking place in nuclear and fossil power plants when generating process heat or net electricity. In particular, the analysis focuses on fossil-fuel requirements and labor requirements for those phases that both nuclear plants and fossil energy plants have in common: (i) mining; (ii) refining/enriching; (iii) generating heat/electricity; (iv) handling the pollution/radioactive wastes. By adopting this approach, it becomes possible to explain the systemic low economic competitiveness of nuclear energy in the production of electricity, because of: (i) its dependence on oil, limiting its possible role as a carbon-free alternative; (ii) the choices made in relation to its fuel cycle, especially whether it includes reprocessing operations or not; (iii) the unavoidable uncertainty in the definition of the characteristics of its process; (iv) its large inertia (lack of flexibility) due to issues of time scale; and (v) its low power level.

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Uranium mines are the - often forgotten - source of nuclear power. The promotion of nuclear energy as a clean alternative and the projected increase of electricity demand in countries such as China and India, have led to a global “uranium rush”, unseen since the peak of the Cold War. This article studies the formation of the expanding nuclear frontier looking at the interaction between the global uranium metabolism, industrial dynamics and local ecologies of resistance using Namibia as a case-study. Namibia, the world´s fourth largest producer of uranium, stands at the frontier of this rush with sixty-six recently granted prospecting licenses that could turn into mines, compared to only three currently operating mines. We focus on three generic attributes that help to explain the emergence and intensity of resistance by local communities to uranium mining: the ecology and geography of the resource; the degree and type of political and economic marginalization of the community; and crucially, the connection and integration of local concerns with broader social movements and political demands. We show with the use of empirical material how these factors play out differently in five Namibian communities that have been, or stand to be, affected by uranium mining, and explain how local ecologies of resistance shape the global uranium rush.

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In this paper we address the complexity of the analysis of water use in relation to the issue of sustainability. In fact, the flows of water in our planet represent a complex reality which can be studied using many different perceptions and narratives referring to different scales and dimensions of analysis. For this reason, a quantitative analysis of water use has to be based on analytical methods that are semantically open: they must be able to define what we mean with the term “water” when crossing different scales of analysis. We propose here a definition of water as a resource that deal with the many services it provides to humans and ecosystems. WE argue that water can fulfil so many of them since the element has many characteristics that allow for the resource to be labelled with different attributes, depending on the end use –such as drinkable. Since the services for humans and the functions for ecosystems associated with water flows are defined on different scales but still interconnected it is necessary to organize our assessment of water use across different hierarchical levels. In order to do so we define how to approach the study of water use in the Societal Metabolism, by proposing the Water Metabolism, tganized in three levels: societal level, ecosystem level and global level. The possible end uses we distinguish for the society are: personal/physiological use, household use, economic use. Organizing the study of “water use” across all these levels increases the usefulness of the quantitative analysis and the possibilities of finding relevant and comparable results. To achieve this result, we adapted a method developed to deal with multi-level, multi-scale analysis - the Multi-Scale Integrated Analysis of Societal and Ecosystem Metabolism (MuSIASEM) approach - to the analysis of water metabolism. In this paper, we discuss the peculiar analytical identity that “water” shows within multi-scale metabolic studies: water represents a flow-element when considering the metabolism of social systems (at a small scale, when describing the water metabolism inside the society) and a fund-element when considering the metabolism o ecosystems (at a larger scale when describing the water metabolism outside the society). The theoretical analysis is illustrated using two case which characterize the metabolic patterns regarding water use of a productive system in Catalonia and a water management policy in Andarax River Basin in Andalusia.

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Land cover classification is a key research field in remote sensing and land change science as thematic maps derived from remotely sensed data have become the basis for analyzing many socio-ecological issues. However, land cover classification remains a difficult task and it is especially challenging in heterogeneous tropical landscapes where nonetheless such maps are of great importance. The present study aims to establish an efficient classification approach to accurately map all broad land cover classes in a large, heterogeneous tropical area of Bolivia, as a basis for further studies (e.g., land cover-land use change). Specifically, we compare the performance of parametric (maximum likelihood), non-parametric (k-nearest neighbour and four different support vector machines - SVM), and hybrid classifiers, using both hard and soft (fuzzy) accuracy assessments. In addition, we test whether the inclusion of a textural index (homogeneity) in the classifications improves their performance. We classified Landsat imagery for two dates corresponding to dry and wet seasons and found that non-parametric, and particularly SVM classifiers, outperformed both parametric and hybrid classifiers. We also found that the use of the homogeneity index along with reflectance bands significantly increased the overall accuracy of all the classifications, but particularly of SVM algorithms. We observed that improvements in producer’s and user’s accuracies through the inclusion of the homogeneity index were different depending on land cover classes. Earlygrowth/degraded forests, pastures, grasslands and savanna were the classes most improved, especially with the SVM radial basis function and SVM sigmoid classifiers, though with both classifiers all land cover classes were mapped with producer’s and user’s accuracies of around 90%. Our approach seems very well suited to accurately map land cover in tropical regions, thus having the potential to contribute to conservation initiatives, climate change mitigation schemes such as REDD+, and rural development policies.

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The report presents a grammar capable of analyzing the process of production of electricity in modular elements for different power-supply systems, defined using semantic and formal categories. In this way it becomes possible to individuate similarities and differences in the process of production of electricity, and then measure and compare “apples” with “apples” and “oranges” with “oranges”. For instance, when comparing the various unit operations of the process of production of electricity with nuclear energy to the analogous unit operations of the process of production of fossil energy, we see that the various phases of the process are the same. The only difference is related to characteristics of the process associated with the generation of heat which are completely different in the two systems. As a matter of facts, the performance of the production of electricity from nuclear energy can be studied, by comparing the biophysical costs associated with the different unit operations taking place in nuclear and fossil power plants when generating process heat or net electricity. By adopting this approach, it becomes possible to compare the performance of the two power-supply systems by comparing their relative biophysical requirements for the phases that both nuclear energy power plants and fossil energy power plants have in common: (i) mining; (ii) refining/enriching; (iii) generating heat/electricity; (iv) handling the pollution/radioactive wastes. This report presents the evaluation of the biophysical requirements for the two powersupply systems: nuclear energy and fossil energy. In particular, the report focuses on the following requirements: (i) electricity; (ii) fossil-fuels, (iii) labor; and (iv) materials.

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Este proyecto se fraguó previamente a la elección de un trabajo final de carrera. Para poder entenderlo debo mencionar que trabajo como titulado superior de investigación y laboratorio en el Instituto de Ciencias del Mar (ICM)del Consejo Superior de Investigaciones Científicas (CSIC), dentro de un grupo de investigación en oceanografía biológica, concretamente en recursos marinos renovables. En base a mi experiencia con este tipo de entorno de investigación, observe que existían una serie de mejoras de carácter técnico que se podrían introducir, y que ha la larga iban a facilitar mucho más el trabajo científico del grupo.Este grupo durante muchos años se ha dedicado a la obtención de datos de dos especies marinas de interés comercial del mar Mediterráneo que tienen su hábitat en aguas profundas: la gamba rosada (Aristeus antennatus) y la cigala (Nephrops norvegicus). Por ende, de manera colateral, datos de las especies que interaccionan con ellas, y que por este hecho se ven influenciadas al ser pescadas las anteriores. En estos años ha ido en aumento la evidencia de que ecosistemas más someros de nuestros mares tienen una relación mucho mayor de lo que se suponía con los ecosistemas profundos de los mismos. Además estos ecosistemas profundos influyen en los someros, también más de lo que cabía esperar, actuando de refugio de larvas y especies que tienen capacidad de sobrevivir en rangos batimétricos amplios. Si desean tener una visión más profunda al respecto pueden ver algunas de las últimas referencias bibliográficas a las que hago referencia en este párrafo acerca de este hecho, así como del incremento de la importancia de los grupos de investigación en el mundo dedicados a este tipo de investigación. En algunas de estas publicaciones han participado miembros del grupo al cual va dirigido el trabajo que aquí expongo.A medida que crecía el número de miembros del grupo, la importancia del mismo, la mejora tecnológica empleada en los muestreos, las colaboraciones internacionales con otras instituciones y la cantidad de proyectos en el grupo de investigación, crecía a su vez proporcionalmente, la cantidad de datos y la disparidad en formatos y sistemas de almacenaje (Hojas MS Excel o bases de datos MS Access, archivos de texto, etc.). Se ha hecho necesaria entonces la creación de una herramienta que los gestione de una forma común, y una base de datos para el almacenaje de los mismos de una forma coherente y robusta. Así mismo el hecho de tener los datos en una fuente común, posibilitará su distribución a otras bases de datos mundiales sobre la materia con las cuales se colabora, dependientes de organismos tan en la cresta a de la ola, como el Census of marine life (COML), el Alfred Wegener Institute (AWI) y el Center for Marine Environmental Sciences (MARUM)de Alemania. Estos a su vez carecen de datos de las zonas geográficas pertenecientes al mar Mediterráneo foco de la investigación del grupo.

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L'enfocament principal d'aquest informe elaborat per Scimago, una de les principals fonts d'informació estadística, se centra en el sistema de producció científica de Catalunya i la seva relació amb l'Estat espanyol i amb el món. L'estudi conté un conjunt d'indicadors de macroanàlisi basada en comparacions amb altres comunitats autònomes; una anàlisi sobre el rendiment segons categories temàtiques i de manera comparada amb l'Estat espanyol i el món, i aportacions per a una microanàlisi. Les anàlisis comprenen la producció científica de tota mena d'institucions agrupades en els sectors universitari, sanitari, d'ens públics de recerca i ens privats. Les conclusions de l'estudi revelen que l'impacte científic de la recerca catalana és semblant al del Canadà, Singapur o Finlàndia. L'informe situa Catalunya com la primera comunitat espanyola pel que fa a l'impacte científic internacional. Matemàtiques, química, immunologia, ciències mediambientals, física, informàtica, ciències dels materials, medicina i agricultura són les àrees de recerca a Catalunya amb un impacte superior a la mitjana mundial. Les enginyeries registren un dèficit de producció científica si es compara amb l'activitat mundial.

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L'enfocament principal d'aquest informe elaborat per Scimago, una de les principals fonts d'informació estadística, se centra en el sistema de producció científica de Catalunya i la seva relació amb l'Estat espanyol i amb el món. L'estudi conté un conjunt d'indicadors de macroanàlisi basada en comparacions amb altres comunitats autònomes; una anàlisi sobre el rendiment segons categories temàtiques i de manera comparada amb l'Estat espanyol i el món, i aportacions per a una microanàlisi. Les anàlisis comprenen la producció científica de tota mena d'institucions agrupades en els sectors universitari, sanitari, d'ens públics de recerca i ens privats. Les conclusions de l'estudi revelen que l'impacte científic de la recerca catalana és semblant al del Canadà, Singapur o Finlàndia. L'informe situa Catalunya com la primera comunitat espanyola pel que fa a l'impacte científic internacional. Matemàtiques, química, immunologia, ciències mediambientals, física, informàtica, ciències dels materials, medicina i agricultura són les àrees de recerca a Catalunya amb un impacte superior a la mitjana mundial. Les enginyeries registren un dèficit de producció científica si es compara amb l'activitat mundial.

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This Technical Report presents a tentative protocol used to assess the viability of powersupply systems. The viability of power-supply systems can be assessed by looking at the production factors (e.g. paid labor, power capacity, fossil-fuels) – needed for the system to operate and maintain itself – in relation to the internal constraints set by the energetic metabolism of societies. In fact, by using this protocol it becomes possible to link assessments of technical coefficients performed at the level of the power-supply systems with assessments of benchmark values performed at the societal level throughout the relevant different sectors. In particular, the example provided here in the case of France for the year 2009 makes it possible to see that in fact nuclear energy is not viable in terms of labor requirements (both direct and indirect inputs) as well as in terms of requirements of power capacity, especially when including reprocessing operations.

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This paper presents an application of the Multi-Scale Integrated Analysis of Societal and Ecosystem Metabolism (MuSIASEM) approach to the estimation of quantities of Gross Value Added (GVA) referring to economic entities defined at different scales of study. The method first estimates benchmark values of the pace of GVA generation per hour of labour across economic sectors. These values are estimated as intensive variables –e.g. €/hour– by dividing the various sectorial GVA of the country (expressed in € per year) by the hours of paid work in that same sector per year. This assessment is obtained using data referring to national statistics (top down information referring to the national level). Then, the approach uses bottom-up information (the number of hours of paid work in the various economic sectors of an economic entity –e.g. a city or a province– operating within the country) to estimate the amount of GVA produced by that entity. This estimate is obtained by multiplying the number of hours of work in each sector in the economic entity by the benchmark value of GVA generation per hour of work of that particular sector (national average). This method is applied and tested on two different socio-economic systems: (i) Catalonia (considered level n) and Barcelona (considered level n-1); and (ii) the region of Lima (considered level n) and Lima Metropolitan Area (considered level n-1). In both cases, the GVA per year of the local economic entity –Barcelona and Lima Metropolitan Area – is estimated and the resulting value is compared with GVA data provided by statistical offices. The empirical analysis seems to validate the approach, even though the case of Lima Metropolitan Area indicates a need for additional care when dealing with the estimate of GVA in primary sectors (agriculture and mining).

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Modern methods of compositional data analysis are not well known in biomedical research.Moreover, there appear to be few mathematical and statistical researchersworking on compositional biomedical problems. Like the earth and environmental sciences,biomedicine has many problems in which the relevant scienti c information isencoded in the relative abundance of key species or categories. I introduce three problemsin cancer research in which analysis of compositions plays an important role. Theproblems involve 1) the classi cation of serum proteomic pro les for early detection oflung cancer, 2) inference of the relative amounts of di erent tissue types in a diagnostictumor biopsy, and 3) the subcellular localization of the BRCA1 protein, and it'srole in breast cancer patient prognosis. For each of these problems I outline a partialsolution. However, none of these problems is \solved". I attempt to identify areas inwhich additional statistical development is needed with the hope of encouraging morecompositional data analysts to become involved in biomedical research

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We examine the effects of extracting monetary policy disturbances with semi-structural and structural VARs, using data generated bya limited participation model under partial accommodative and feedback rules. We find that, in general, misspecification is substantial: short run coefficients often have wrong signs; impulse responses and variance decompositions give misleadingrepresentations of the dynamics. Explanations for the results and suggestions for macroeconomic practice are provided.

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Although correspondence analysis is now widely available in statistical software packages and applied in a variety of contexts, notably the social and environmental sciences, there are still some misconceptions about this method as well as unresolved issues which remain controversial to this day. In this paper we hope to settle these matters, namely (i) the way CA measures variance in a two-way table and how to compare variances between tables of different sizes, (ii) the influence, or rather lack of influence, of outliers in the usual CA maps, (iii) the scaling issue and the biplot interpretation of maps,(iv) whether or not to rotate a solution, and (v) statistical significance of results.

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Geological and geomorphological maps are, apart from a source of scientific information, a necessary tool in order to take proper decisions to solve the geo-environmental problems that arise when dealing with territorial planning. In this paper, the social and economical utility of such maps is described, and some exercises meant for Science of Earth and Environmental Sciences students are proposed