999 resultados para Redes de drenagem
Remediação de drenagem ácida de mina usando zeólitas sintetizadas a partir de cinzas leves de carvão
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Zeolitic material was synthesized from coal fly ashes (baghouse filter fly ash and cyclone filter fly ash) by hydrothermal alkaline activation. The potential application of the zeolitic product for decontamination of waters from acid mine drainage was evaluated. The results showed that a dose of 30 g L-1 of zeolitic material allowed the water to reach acceptable quality levels after treatment. Both precipitation and cation-exchange processes accounted for the reduction in the pollutant concentration in the treated waters.
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Descripción de la realidad que acompaña a la industria de las telecomunicaciones
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El objetivo del presente ensayo es analizar el papel de las nuevas tecnologías en la formación de redes de acción. Para ello, comenzaré analizando brevemente ciertos puntos y características de las redes de acción y sus tipos, para a continuación, centrar el análisis en un caso real y de ardiente actualidad, como es el caso de Birmania.Una red de acción es un sistema que interconecta nodos. Estos nodos son autónomos y autoorganizados, de manera que cada uno de ellos aporta información y la red se encarga de intercambiar dicha información proveniente de los distintos nodos, así como proyectarla hacia espacios mayores de interacción. Por lo tanto, una red es un sistema exógeno, en la medida que trabaja en la búsqueda constante de interacciones e intercambios mas allá de sus propias fronteras. Las redes responden a la necesidad de conversar con otros para producir acuerdos, arreglos y consensos. Por lo que la red precisa de la polivalencia y la capacidad de adquirir nuevas competencias, por parte de los sujetos que la forman.
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Hasta hace algunos años, el interés por la historia de la familia, aunque no era escaso, estaba orientado a enfoques de tipo macrohistórico, ya que el énfasis estaba puesto en las estructuras de la sociedad. La dominación de los planteamientos cuantitativistas impuestos por los Annales, así como la fuerte influencia del marxismo, coadyuvaron en la consideración de la familia, fio como objeto de investigación en sí misma, sino como expresión o ilustración de un funcionamiento económico social global.
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In 2009 the University of Girona (Spain) created four interest groups on teaching innovation. The objective of the project is that lecturers with an interest in teaching innovation can exchange their points of view and learn from one another, so University teaching is improved as a result. There are four such groups: “Problem based learning (ABP)”, “Cooperative learning”, “Evaluation”, and “Information and Communication Technologies (ICTs) and Teaching”. The coordinators of the groups or networks, as they are also called, are chosen on a free basis by its members. This paper presents their point of view as regards the current activity of encouragement of interest in higher education and they elaborate on the main difficulties involved. The implications of the interdisciplinary work are explored, as well as the challenges of an initiative of this kind. The evolution of the ongoing work is reviewed, taking into account the context of a changing University, the lack of previous experience regarding projects of this kind, the asynchronous communication among the participants, and the necessity of a flexible approach in organizational matters
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Although several chemical elements were not known by end of the 18th century, Mendeleyev came up with an astonishing achievement: the periodic table of elements. He was not only able to predict the existence of (then) new elements but also to provide accurate estimates of their chemical and physical properties. This is certainly a relevant example of the human intelligence. Here, we intend to shed some light on the following question: Can an artificial intelligence system yield a classification of the elements that resembles, in some sense, the periodic table? To achieve our goal, we have fed a self-organized map (SOM) with information available at Mendeleyev's time. Our results show that similar elements tend to form individual clusters. Thus, SOM generates clusters of halogens, alkaline metals and transition metals that show a similarity with the periodic table of elements.
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Acid mine drainage generated from coal mine showed a pH of 3.2, high concentrations of SO4(2-), Al, Fe, Mn, Zn and minor As, Cd, Co, Cr, Cu, Ni and Pb. The major reduction in the concentration occurred for Al, As, Cr, Fe and Pb after the treatment with CaO. The evolution of these acid waters within the tributary stream showed decreasing concentration for all soluble constituents, except Al. This natural attenuation was controlled by pH (6.4 to 10.8) as a result of concurrent mixing with tributary stream and reaction with local bedrock that contains limestone. Aluminum increasing concentration during this evolution seems to be related to an input of Al-enriched waters due to the leaching of silicate minerals in alkaline conditions.
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The multilayer perceptron network was used to classify the gasoline. The main parameters used in the classification were established by the Ordinance nº 309 of the Agência Nacional do Petróleo, but without informing the network the legal limits of these parameters. The network used had 10 neurons in a single hidden layer, learning rate of 0.04 and 250 training epochs. The application of artificial neural network served classify 100% of the commercialized gas in the region of Londrina-PR and to identify the tampered gasoline even those suspected of tampering.
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This study aimed the use of coal mining waste as a new adsorbent for H3O+ and removal of Al (III), Fe (III) and Mn (II) from acid mine drainage. Data from kinetic and equilibrium of the adsorption of H3O+ followed the pseudo second-order and Langmuir isotherm models. The maximum adsorption capacity of H3O+ was 316 mmol kg-1. The adsorbent removed 100% of Al (III), 100% of Fe (III) and 89% of Mn (II), suggesting its use as an alternative for the treatment of acid mine drainage.
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Multivariate models were developed using Artificial Neural Network (ANN) and Least Square - Support Vector Machines (LS-SVM) for estimating lignin siringyl/guaiacyl ratio and the contents of cellulose, hemicelluloses and lignin in eucalyptus wood by pyrolysis associated to gaseous chromatography and mass spectrometry (Py-GC/MS). The results obtained by two calibration methods were in agreement with those of reference methods. However a comparison indicated that the LS-SVM model presented better predictive capacity for the cellulose and lignin contents, while the ANN model presented was more adequate for estimating the hemicelluloses content and lignin siringyl/guaiacyl ratio.
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This work propose a recursive neural network to solve inverse equilibrium problem. The acidity constants of 7-epiclusianone in ethanol-water binary mixtures were determined from multiwavelength spectrophotmetric data. A linear relationship between acidity constants and the %w/v of ethanol in the solvent mixture was observed. The proposed method efficiency is compared with the Simplex method, commonly used in nonlinear optimization techniques. The neural network method is simple, numerically stable and has a broad range of applicability.
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In this paper we built three co-authorship networks displaying the acquaintances between countries, universities and authors that have published papers in Quimica Nova from 1995 to 2008. Our research was conducted applying a bibliometric approach to 1782 papers and over 4200 authors. Centrality measures were used and the most significant actors of each network were pointed out. The results using the centrality metrics and the network structures indicated that Quimica Nova resembles a typical scientific community.
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Metal-organic frameworks (MOFs) form a new class of materials with well-defined yet tunable properties. These are crystalline, highly porous and exhibit strong metal-ligand interactions. Importantly, their physical and chemical properties, including pore size, pore structure, acidity, and magnetic and optical characteristics, can be tailored by choosing the appropriate ligands and metal precursors. Here we review the key aspects of synthesis and characterization of MOFs, focusing on lanthanide-based and vanadium-based materials. We also outline some of their applications in catalysis and materials science.
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The objective of this work is to demonstrate the efficient utilization of the Principal Components Analysis (PCA) as a method to pre-process the original multivariate data, that is rewrite in a new matrix with principal components sorted by it's accumulated variance. The Artificial Neural Network (ANN) with backpropagation algorithm is trained, using this pre-processed data set derived from the PCA method, representing 90.02% of accumulated variance of the original data, as input. The training goal is modeling Dissolved Oxygen using information of other physical and chemical parameters. The water samples used in the experiments are gathered from the Paraíba do Sul River in São Paulo State, Brazil. The smallest Mean Square Errors (MSE) is used to compare the results of the different architectures and choose the best. The utilization of this method allowed the reduction of more than 20% of the input data, which contributed directly for the shorting time and computational effort in the ANN training.
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O sistema de manejo da irrigação afeta a incidência de doenças e o rendimento de grãos da cultura do arroz. O objetivo deste trabalho foi estudar o efeito de períodos de drenagem do solo durante o perfilhamento sobre o progresso da brusone (Pyricularia grisea) nas folhas e panículas e o rendimento de grãos de arroz irrigado cultivado no sistema pré-germinado. Testaram-se quatro períodos de drenagem do solo no afilhamento: T1 = sem drenagem; T2 = drenagem aos 45 dias após a semeadura (DAS) e retorno da irrigação 7 dias após; T3 = drenagem aos 45 DAS e retorno 14 dias após; e T4 = drenagem aos 45 DAS e retorno 20 dias após. Em cada sistema de manejo da irrigação foram testadas as cultivares Epagri 106 (precoce) e Epagri 109 (tardia). A reação das cultivares a doença foi avaliada durante os anos agrícolas 2004/05 e 2005/06, no município de Pouso Redondo, localizado no Alto Vale do Itajaí, SC. A severidade da doença nas folhas e panículas foi determinada em sete amostragens, feitas no período compreendido entre 40 a 90 dias e 100 a 140 dias após a semeadura, respectivamente. Os dados foram utilizados para calcular a área sob a curva de progresso da doença (ASCPD) para cada cultivar. Os resultados obtidos nos dois anos agrícolas mostraram que o sistema de manejo da irrigação no perfilhamento não interferiu sobre a ASCPD da doença e o rendimento de grãos. Os menores valores de ASCPD para folhas e panículas foram apresentados pela cultivar Epagri 106, independente do sistema de manejo da irrigação. O rendimento de grãos variou entre 7.833 e 9.239 kg ha-1 (2004/2005) e 3.984 e 9.040 kg ha-1 (2005/2006). A elevada precipitação ocorrida durante o período de drenagem evitou a ocorrência de deficiência hídrica. Isto provavelmente mitigou o efeito do sistema de manejo da irrigação no perfilhamento sobre o progresso da brusone e o rendimento de grãos.