Evaluation of solid residues removed from a mangrove swamp in the Sao Vicente Estuary, SP, Brazil

Mangrove swamps are found in estuaries along the coastal plains of tropical regions and have be subjected to heavy occupation and use pressure due to their privileged locations and abundance of biological resources. The present work evaluated the ecological characteristics and solid wastes accumulated in eight areas along the Santos - Sao Vicente Estuary Complex. The superficially deposited residues at each sampling site were collected and subsequently washed, drained, counted, weighed and separated into classes according to their composition and predominant use. The predominant litter type in terms of density was plastic (62.81%) and, by weight, wood (55.53%). The greatest deposition of residues was associated with areas that were less inclined and that had low plant density levels, indicating that the presence of obstacles was not critical for retaining floating residues in mangrove areas. The presence of the most frequently encountered types of solid waste residues could be explained by local activities. (C) 2010 Elsevier Ltd. All rights reserved.

Cytogenotoxicity biomarkers in fat snook Centropomus parallelus from Cananeia and Sao Vicente estuaries, SP, Brazil

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Growth of the hermit crab Clibanarius vittatus (Bosc, 1802) (Crustacea, Anomura, Diogenidae) at São Vicente, São Paulo, Brazil

O presente estudo teve como objetivo analisar o crescimento de machos e fêmeas do ermitão Clibanarius vittatus (Bosc, 1802), da região de São Vicente, São Paulo, Brasil. Foram realizadas coletas mensais de maio/2001 a abril/2003, na Praia dos Pescadores em São Vicente. Os 2.501 animais capturados foram identificados, determinados quanto ao sexo e mensurados quanto ao seu comprimento de escudo cefalotorácico (CEC). Para o estudo sazonal do crescimento, a população foi dividida em classes de tamanho de 5mm de (CEC), e analisada pelo método de Bertalanffy, com o auxílio do software Fisat II. Foram obtidos 703 indivíduos machos e 1.798 fêmeas, com média de tamanho de 8.94±1.80 e 6.61±1.13mm, respectivamente. Constatou-se um padrão de crescimento sazonal, com machos atingindo um tamanho assintótico (14.92mm) superior ao das fêmeas (13.85mm), além de iniciarem o processo de crescimento aproximadamente cinco meses antes destas. Desta forma, é provável que este seja um padrão que auxilia na diminuição da disputa intra-específica por conchas, uma vez que os machos atingiram maior tamanho e estariam disponibilizando conchas menores para as fêmeas.

Política de assistência social no Brasil: uma análise a partir das tipologias de políticas públicas

The study of public policy typologies is still a knowledge field which lacks more embracing and applicable studies to different sectors. On that perspective, this work, Social Assistance Policy in Brazil: an analysis from the typologies on public policy, pursues to add the relevant literature to social assistance what focus on the public policy ratings. Moreover, it concerns about a study on the the national policy of social assistance implemented by the Brazilian government from the theoretical referrence of the public policy typologies. For that reason, the referential framework of the public policies as well as the analisys of its fundamentals/principles that are indispensable for achieving a bigger goal, that is to tipify the social assistance policy based on the different public policy typologies and characterize it through the main elements which are intrinsec to the social political and economic reality of Brazil. Thus, the issue suggested for the work is: what is the profile and the political trajectory of the social assistance implemented by the Brazilian Government? How it presents, above all, the features of a distributive, focused and lawful policy, the work has been done througho the following hypothesis: the social assistance policy in Brazil has been of universal, assistance, and focusing aspects. For each of those features granted to the social assistance policy, there is a gathering of changes according to the social, political and economic moment of the country and that stands out due to the different institutions within every cyclical period. The work showed that besides the social policy has gone through meaningful changes during the last decades, even though the adoption of the Organic Law of Social Assistance and its rules, some of the mentioned characteristics still remain, as long as the State s primacy goes on being the economic policies over the dubbed social policies. Notwithstanding, the social assistance will build up itself from the materialization of the growing of the social rights related to the State, but also assuming an important role on the amplified reproducing process regarding the capitalist social relations

Resposta de feijão-vagem a diferentes níveis de fertilidade

Estudou-se a resposta de feijão-vagem de crescimento indeterminado à fertilidade do solo em Anápolis (GO). Utilizaram-se sete linhagens (Hav 13, Hav 38, Hav 40, Hav 49, Hav 56, Hav 64 e Hav 68), e as cultivares Favorito Ag 480, Macarrão Bragança e Teresópolis Ag 484, em sete doses da formulação 4-30-16 aplicadas ao solo (D0= 0; D1=200; D(2)400; D3=600; D4=800; D5=1000 e D6=1200 kg/ha). Houve diferenças significativas entre genótipos para todas características avaliadas, dentro de cada dose do formulado, exceto para produtividade, no quinto nível, e para altura média das plantas no nível mais elevado de fertilidade. As linhagens Hav 49 e Hav 64 igualaram-se aos genótipos de maiores rendimentos em todos os ambientes. O nível médio de fertilidade foi o mais conveniente, do ponto de vista econômico, para todas as características consideradas. Com exceção de Hav 13 e Teresópolis Ag 484, que se mostraram imprevisíveis quanto à produtividade, Hav 13 e Hav 64, quanto ao número de vagens por planta e Favorito Ag 480 quanto à altura média das plantas, os demais genótipos foram estáveis. Todos os genótipos responderam proporcionalmente à melhoria do ambiente para produtividade, número de vagens por planta e altura das plantas. Quanto ao peso médio das vagens a linhagem Hav 40 respondeu menos que proporcionalmente ao aumento da fertilidade do solo, mostrando-se adaptável a solos menos férteis, enquanto a cultivar Teresópolis Ag 484 respondeu mais que proporcionalmente à melhoria da fertilidade mostrando-se adaptável a solos mais férteis.

Características agronômicas, produtividade, qualidade de vagens e divergência genética em feijão-vagem de crescimento indeterminado

Avaliou-se a divergência genética entre quinze linhagens (Hav 13, Hav 14, Hav 21, Hav 22, Hav 25, Hav 38, Hav 40, Hav 41, Hav 49, Hav 53, Hav 56, Hav 64, Hav 65, Hav 67 e Hav 68) e cinco cultivares (Macarrão Favorito AG480, Macarrão Preferido AG482, Manteiga Maravilha AG481, Teresópolis AG484 e Macarrão Bragança) de feijão-vagem de crescimento indeterminado, utilizando-se vinte características agronômicas. O ensaio foi conduzido na AGENCIARURAL - EE de Anápolis, no período de 30/04 a 10/08/1998. Os dados foram submetidos às análises de variância e multivariada (distância D² de Mahalanobis e o método de agrupamento de Tocher). Houve diferenças significativas entre os genótipos para as características consideradas. Os genótipos Hav 13, Hav 49, Hav 56, Hav 64, Hav 68, Favorito AG480 e Teresópolis AG484 destacaram-se com relação ao conjunto de características favoráveis a produtores e consumidores. Houve maior freqüência de pares com maiores distâncias, quando um dos componentes era a cultivar Teresópolis AG484 ou Hav 49, e de pares com menores distâncias quando seus componentes tiveram como ancestral comum a linhagem Hab 229. Os genótipos distribuíram-se em quatro grupos, sendo um constituído exclusivamente pela linhagem Hav 49, outro englobando as cultivares Manteiga Maravilha AG481 e Teresópolis AG484. A linhagem Hav 41 e as cultivares Macarrão Favorito AG480 e Macarrão Preferido AG482 um terceiro grupo, e os demais genótipos um único grupo. As características que mais contribuíram para a divergência entre os genótipos foram o número de dias para o início de floração e o comprimento das vagens, com 58,11% do total, seguidas da porcentagem de palha na vagem seca, da largura das vagens, das alturas das plantas nas duas épocas avaliadas, do peso médio de vagem e do número de vagens por planta que, em conjunto, contribuíram com 85,73% do total.

Utilização de Novas Tecnologias de Telecomunicações em Plataformas Petrolíferas Offshore

This dissertation describes the use of new Technologies of the Areas of Telecommunications, Networks and Industrial Automation for increase of the Operational Safety and obtaining of Operational Improvements in the Platforms Petroliferous Offshore. The presented solution represents the junction of several modules of these areas, making possible the Supervision and Contrai of the Platforms Petroliferous Offshore starting from an Station Onshore, in way similar to a remote contral, by virtue of the visualization possibility and audition of the operational area through cameras and microphones, looking the operator of the system to be "present" in the platform. This way, it diminishes the embarked people's need, increasing the Operational Safety. As consequence, we have the obtaining of Operational Improvements, by virtue of the use of a digital link of large band it releases multi-service. In this link traffic simultaneously digital signs of data (Ethernet Network), telephony (Phone VoIP), image and sound

Um sistema para estimação da vazão de gás de poços produzindo por Plunger Lift para vaso separador de teste em plataformas de petróleo

This work intends to analyze the behavior of the gas flow of plunger lift wells producing to well testing separators in offshore production platforms to aim a technical procedure to estimate the gas flow during the slug production period. The motivation for this work appeared from the expectation of some wells equipped with plunger lift method by PETROBRAS in Ubarana sea field located at Rio Grande do Norte State coast where the produced fluids measurement is made in well testing separators at the platform. The oil artificial lift method called plunger lift is used when the available energy of the reservoir is not high enough to overcome all the necessary load losses to lift the oil from the bottom of the well to the surface continuously. This method consists, basically, in one free piston acting as a mechanical interface between the formation gas and the produced liquids, greatly increasing the well s lifting efficiency. A pneumatic control valve is mounted at the flow line to control the cycles. When this valve opens, the plunger starts to move from the bottom to the surface of the well lifting all the oil and gas that are above it until to reach the well test separator where the fluids are measured. The well test separator is used to measure all the volumes produced by the well during a certain period of time called production test. In most cases, the separators are designed to measure stabilized flow, in other words, reasonably constant flow by the use of level and pressure electronic controllers (PLC) and by assumption of a steady pressure inside the separator. With plunger lift wells the liquid and gas flow at the surface are cyclical and unstable what causes the appearance of slugs inside the separator, mainly in the gas phase, because introduce significant errors in the measurement system (e.g.: overrange error). The flow gas analysis proposed in this work is based on two mathematical models used together: i) a plunger lift well model proposed by Baruzzi [1] with later modifications made by Bolonhini [2] to built a plunger lift simulator; ii) a two-phase separator model (gas + liquid) based from a three-phase separator model (gas + oil + water) proposed by Nunes [3]. Based on the models above and with field data collected from the well test separator of PUB-02 platform (Ubarana sea field) it was possible to demonstrate that the output gas flow of the separator can be estimate, with a reasonable precision, from the control signal of the Pressure Control Valve (PCV). Several models of the System Identification Toolbox from MATLAB® were analyzed to evaluate which one better fit to the data collected from the field. For validation of the models, it was used the AIC criterion, as well as a variant of the cross validation criterion. The ARX model performance was the best one to fit to the data and, this way, we decided to evaluate a recursive algorithm (RARX) also with real time data. The results were quite promising that indicating the viability to estimate the output gas flow rate from a plunger lift well producing to a well test separator, with the built-in information of the control signal to the PCV

Determinação dos parâmetros do controlador preditivo generalizado com função de pesos variante no tempo através de algoritmos genéticos

The predictive control technique has gotten, on the last years, greater number of adepts in reason of the easiness of adjustment of its parameters, of the exceeding of its concepts for multi-input/multi-output (MIMO) systems, of nonlinear models of processes could be linearised around a operating point, so can clearly be used in the controller, and mainly, as being the only methodology that can take into consideration, during the project of the controller, the limitations of the control signals and output of the process. The time varying weighting generalized predictive control (TGPC), studied in this work, is one more an alternative to the several existing predictive controls, characterizing itself as an modification of the generalized predictive control (GPC), where it is used a reference model, calculated in accordance with parameters of project previously established by the designer, and the application of a new function criterion, that when minimized offers the best parameters to the controller. It is used technique of the genetic algorithms to minimize of the function criterion proposed and searches to demonstrate the robustness of the TGPC through the application of performance, stability and robustness criterions. To compare achieves results of the TGPC controller, the GCP and proportional, integral and derivative (PID) controllers are used, where whole the techniques applied to stable, unstable and of non-minimum phase plants. The simulated examples become fulfilled with the use of MATLAB tool. It is verified that, the alterations implemented in TGPC, allow the evidence of the efficiency of this algorithm

Sistema híbrido para detecção e diagnóstico de falhas em sistemas dinâmicos

The industries are getting more and more rigorous, when security is in question, no matter is to avoid financial damages due to accidents and low productivity, or when it s related to the environment protection. It was thinking about great world accidents around the world involving aircrafts and industrial process (nuclear, petrochemical and so on) that we decided to invest in systems that could detect fault and diagnosis (FDD) them. The FDD systems can avoid eventual fault helping man on the maintenance and exchange of defective equipments. Nowadays, the issues that involve detection, isolation, diagnose and the controlling of tolerance fault are gathering strength in the academic and industrial environment. It is based on this fact, in this work, we discuss the importance of techniques that can assist in the development of systems for Fault Detection and Diagnosis (FDD) and propose a hybrid method for FDD in dynamic systems. We present a brief history to contextualize the techniques used in working environments. The detection of fault in the proposed system is based on state observers in conjunction with other statistical techniques. The principal idea is to use the observer himself, in addition to serving as an analytical redundancy, in allowing the creation of a residue. This residue is used in FDD. A signature database assists in the identification of system faults, which based on the signatures derived from trend analysis of the residue signal and its difference, performs the classification of the faults based purely on a decision tree. This FDD system is tested and validated in two plants: a simulated plant with coupled tanks and didactic plant with industrial instrumentation. All collected results of those tests will be discussed

Proposta de algoritmo para detecção de vazamentos em oleodutos utilizando análise freqüencial de sinais de pressão

Pipeline leak detection is a matter of great interest for companies who transport petroleum and its derivatives, in face of rising exigencies of environmental policies in industrialized and industrializing countries. However, existing technologies are not yet fully consolidated and many studies have been accomplished in order to achieve better levels of sensitivity and reliability for pipeline leak detection in a wide range of flowing conditions. In this sense, this study presents the results obtained from frequency spectrum analysis of pressure signals from pipelines in several flowing conditions like normal flowing, leakages, pump switching, etc. The results show that is possible to distinguish between the frequency spectra of those different flowing conditions, allowing recognition and announce of liquid pipeline leakages from pressure monitoring. Based upon these results, a pipeline leak detection algorithm employing frequency analysis of pressure signals is proposed, along with a methodology for its tuning and calibration. The proposed algorithm and its tuning methodology are evaluated with data obtained from real leakages accomplished in pipelines transferring crude oil and water, in order to evaluate its sensitivity, reliability and applicability to different flowing conditions

Sistema Híbrido de Inferência Baseado em Análise de Componentes Principais e Redes Neurais Artificiais Aplicado a Plantas de Processamento de Gás Natural

Nowadays, where the market competition requires products with better quality and a constant search for cost savings and a better use of raw materials, the research for more efficient control strategies becomes vital. In Natural Gas Processin Units (NGPUs), as in the most chemical processes, the quality control is accomplished through their products composition. However, the chemical composition analysis has a long measurement time, even when performed by instruments such as gas chromatographs. This fact hinders the development of control strategies to provide a better process yield. The natural gas processing is one of the most important activities in the petroleum industry. The main economic product of a NGPU is the liquefied petroleum gas (LPG). The LPG is ideally composed by propane and butane, however, in practice, its composition has some contaminants, such as ethane and pentane. In this work is proposed an inferential system using neural networks to estimate the ethane and pentane mole fractions in LPG and the propane mole fraction in residual gas. The goal is to provide the values of these estimated variables in every minute using a single multilayer neural network, making it possibly to apply inferential control techniques in order to monitor the LPG quality and to reduce the propane loss in the process. To develop this work a NGPU was simulated in HYSYS R software, composed by two distillation collumns: deethanizer and debutanizer. The inference is performed through the process variables of the PID controllers present in the instrumentation of these columns. To reduce the complexity of the inferential neural network is used the statistical technique of principal component analysis to decrease the number of network inputs, thus forming a hybrid inferential system. It is also proposed in this work a simple strategy to correct the inferential system in real-time, based on measurements of the chromatographs which may exist in process under study

Aplicação prática do método de sintonia de controladores PID utilizando o método do relé com histerese

The area of research and development involving the PID tune of controllers is an active area in the academic and industrial sectors yet. All this due to the wide use of PID controllers in the industry (96% of all controllers in the industry is still PID). Controllers well tuned and tools to monitor their performance over time with the possibility of selftuning, become an item almost obligatory to maintain processes with high productivity and low cost. In a globalized world, it is essential for their self survival. Although there are several new tools and techniques that make PID tune, in this paper will explore the PID tune using the relay method, due its good acceptance in the industrial environment. In addition, we will discuss some techniques for evaluation of control loops, as IAE, ISE, Goodhart, the variation of the control signal and index Harris, which are necessary to propose new tuning for control loops that have a low performance. Will be proposed in this paper a tool for tuning and self tuning PID. Will be proposed in this paper a PID auto-tuning software using a relay method. In particular, will be highlighted the relay method with hysteresis. This method has shown tunings with satisfactory performance when applied to the didactic, simulated and real plants

Biossorção utilizando alga marinha (sargassum sp.) aplicada em meio orgânico

In this work, biosorption process was used to remove heavy metals from used automotive lubricating oils by a bus fleet from Natal-RN-Brazil. This oil was characterized to determine the physical-chemistry properties. It was also characterized the used oil with the aim of determining and quantifying the heavy metal concentration. Fe and Cu were the metals existent in large concentration and these metals were choused to be studied in solubilization process. For the biosorption process was used the seaweed Sargassum sp for the study of influencing of the metals presents separately and with other metals. It was also studied the effect of the protonation treatment of alga with the objective to know the best efficiency of heavy metals removal. The study of the solubilization showed that the presence of more than a metal favors the solubilization of the metals presents in the oil and consequently, it favors the biosorption process, what becomes interesting the perspective application in the heavy metals removal in lubricating oils used, because the presence of more than a heavy metal favors the solubility of all metals present. It was observed that the iron and copper metals, which are present in large concentration, the protonated biosorbtent was more effective. In this study we used as biomass the marine alga Sargassum sp to study the influence of agitation velocity, temperature and initial biomass concentration on the removal of iron and copper from used lubricant oils. We performed an experimental design and a kinetic study. The experiments were carried out with samples of used lubricant oil and predetermined amounts of algae, allowing sufficient time for the mixture to obtain equilibrium under controlled conditions. The results showed that, under the conditions studied, the larger the amount of biomass present, the lower the adsorption capacity of the iron and of the copper, likely due to a decrease in interface contact area. The experimental design led us to conclude that a function can be obtained that shows the degree of influence of each one of the system variables