945 resultados para Environmental Impact Study (EIS)
Resumo:
Este estudo apresenta ao Departamento de Engenharia de Minas e Petróleo (PMI) da Escola Politécnica da USP, e também a toda a sociedade, a importância que os oceanos têm com relação às suas riquezas minerais. Pretende ainda mostrar a grande responsabilidade que um empreendimento mineiro no fundo do mar precisa ter, com relação aos impactos ambientais, sendo possível minerar em regiões profundas no oceano promovendo a sustentabilidade. A ideia da mineração oceânica/submarina está ainda sendo amadurecida, este é o momento adequado para se propor metodologias de trabalho submarino sustentáveis; mitigar seus impactos. Este trabalho abrange o tema de maneira ampla, abordando o aspecto histórico, legal, ambiental, bem como questões técnicas de engenharia de minas, como sondagem submarina, caracterização tecnológica, lavra submarina, beneficiamento de minério oceânico e descarte de rejeitos. O trabalho apresenta os passos e resultados de um caso real de exploração oceânica. Trata-se de um estudo para viabilizar economicamente a extração e o beneficiamento de areia marinha, para fins industriais, proveniente da Baía de Guanabara (RJ). O trabalho apresenta desde o planejamento da amostragem no fundo do mar, execução destes trabalhos, caracterização tecnológica, simulação de processo e estudos específicos do uso industrial da areia após beneficiamento. Apresenta ainda uma proposta de rota de processo para a areia marinha e questões ligadas à lavra e ao descarte de rejeitos.
Resumo:
This work addresses the optimization of ammonia–water absorption cycles for cooling and refrigeration applications with economic and environmental concerns. Our approach combines the capabilities of process simulation, multi-objective optimization (MOO), cost analysis and life cycle assessment (LCA). The optimization task is posed in mathematical terms as a multi-objective mixed-integer nonlinear program (moMINLP) that seeks to minimize the total annualized cost and environmental impact of the cycle. This moMINLP is solved by an outer-approximation strategy that iterates between primal nonlinear programming (NLP) subproblems with fixed binaries and a tailored mixed-integer linear programming (MILP) model. The capabilities of our approach are illustrated through its application to an ammonia–water absorption cycle used in cooling and refrigeration applications.
Resumo:
Entre las diversas formas de turismo que aparecen a partir de la segunda mitad del siglo pasado, el turismo residencial surge como uno de los principales fenómenos en los escenarios brasileño e internacional. El crecimiento de esta actividad ha sido un factor importante para la generación de empleo e ingresos en los municipios del litoral sudeste de Brasil y de la costa española mediterránea. Pero recientemente, se observa un crecimiento acelerado de esta modalidad de turismo en la costa del Nordeste de Brasil. Este proceso ha generado beneficios económicos para la región al igual que impactos socioambientales. El primer objetivo de este artículo fue realizar un enfoque exploratorio, identificando el escenario de la oferta y la demanda de la construcción de complejos turísticos residenciales en el Nordeste brasileño por medio del relevamiento de sites y entrevistas a las inmobiliarias, constructoras, incorporadoras, operadoras hoteleras y organismos públicos. Los resultados de la investigación muestran el gran interés del capital internacional en construir mega proyectos de segunda residencia en el nordeste, adaptados a la demanda internacional, principalmente europea. El segundo objetivo fue comparar y analizar la evolución, las etapas y las características del turismo residencial en la costa española mediterránea, como ejemplo de modelo consolidado, con la actividad en el Nordeste brasileño, como modelo en expansión. Se verificó que ambas regiones turísticas fueron afectadas por la crisis económica y por deficiencias estructurales de sus respectivos modelos, las cuales potencian impactos económicos y socioambientales.
Resumo:
El presente artículo tiene como finalidad, valorar el impacto ambiental de las conducciones del Canal de Isabel II en el contexto del paisaje. Partimos de la idea según la cual, las infraestructuras del Canal de Isabel II, y más que formar parte del paisaje por el que se extienden, son el propio paisaje. Nuestra zona de estudio es el noroeste de la Comunidad de Madrid (síntesis de la interacción de los propios agentes naturales, de la ocupación humana y de los usos del suelo), área a la que nos aproximarnos a través de la investigación de la integración paisajística, entendida ésta como una estrategia de intervención en el territorio, que tiene como objetivo principal orientar las transformaciones del paisaje o corregir las ya realizadas, para conseguir su adaptación al propio paisaje. En definitiva, nos encontramos ante la necesidad de ajustar un objeto o actuación territorial a las características fisonómicas de un paisaje dado, o de algunos de sus componentes, así como a su carácter y a sus contenidos semánticos.
Resumo:
In this work, we analyze the effect of demand uncertainty on the multi-objective optimization of chemical supply chains (SC) considering simultaneously their economic and environmental performance. To this end, we present a stochastic multi-scenario mixed-integer linear program (MILP) with the unique feature of incorporating explicitly the demand uncertainty using scenarios with given probability of occurrence. The environmental performance is quantified following life cycle assessment (LCA) principles, which are represented in the model formulation through standard algebraic equations. The capabilities of our approach are illustrated through a case study. We show that the stochastic solution improves the economic performance of the SC in comparison with the deterministic one at any level of the environmental impact.
Resumo:
Poster presented in the 24th European Symposium on Computer Aided Process Engineering (ESCAPE 24), Budapest, Hungary, June 15-18, 2014.
Resumo:
In this work, we analyze the effect of incorporating life cycle inventory (LCI) uncertainty on the multi-objective optimization of chemical supply chains (SC) considering simultaneously their economic and environmental performance. To this end, we present a stochastic multi-scenario mixed-integer linear programming (MILP) coupled with a two-step transformation scenario generation algorithm with the unique feature of providing scenarios where the LCI random variables are correlated and each one of them has the desired lognormal marginal distribution. The environmental performance is quantified following life cycle assessment (LCA) principles, which are represented in the model formulation through standard algebraic equations. The capabilities of our approach are illustrated through a case study of a petrochemical supply chain. We show that the stochastic solution improves the economic performance of the SC in comparison with the deterministic one at any level of the environmental impact, and moreover the correlation among environmental burdens provides more realistic scenarios for the decision making process.
Resumo:
This paper presents the results of an ex-post assessment of two important dams in Brazil. The study follows the principles of Social Impact Management, which offer a suitable framework for analyzing the complex social transformations triggered by hydroelectric dams. In the implementation of this approach, participative causal maps were used to identify the ex-post social impacts of the Porto Primavera and Rosana dams on the community of Porto Rico, located along the High Paraná River. We found that in the operation of dams there are intermediate causes of a political nature, stemming from decisions based on values and interests not determined by neutral, exclusively technical reasons; and this insight opens up an area of action for managing the negative impacts of dams.
Resumo:
In this work, we propose a new methodology for the large scale optimization and process integration of complex chemical processes that have been simulated using modular chemical process simulators. Units with significant numerical noise or large CPU times are substituted by surrogate models based on Kriging interpolation. Using a degree of freedom analysis, some of those units can be aggregated into a single unit to reduce the complexity of the resulting model. As a result, we solve a hybrid simulation-optimization model formed by units in the original flowsheet, Kriging models, and explicit equations. We present a case study of the optimization of a sour water stripping plant in which we simultaneously consider economics, heat integration and environmental impact using the ReCiPe indicator, which incorporates the recent advances made in Life Cycle Assessment (LCA). The optimization strategy guarantees the convergence to a local optimum inside the tolerance of the numerical noise.
Resumo:
A disciplina matemática e o tema sustentabilidade podem ser muito bem trabalhados pelos docentes da área de exatas. Pois, saber quantificar, calcular e associar o consumo e o impacto ambiental através de dados numéricos é uma possibilidade que pode ser desenvolvida em sala de aula. Saber interpretar e construir gráficos de colunas são outras competências e habilidades presentes na ciência da matemática. Compreender conceitos, estratégias e situações matemáticas numéricas para aplicá-los a situações diversas no contexto das ciências, da tecnologia e da atividade cotidiana se faz necessário. E também, reconhecer, pela leitura de textos apropriados, a importância da Matemática na elaboração de proposta de intervenção solidária na realidade. Dessa forma, conhecer o ambiente em que vivemos, verificar a influência do homem na Natureza e quais ações deverão ser tomadas pensando nas futuras gerações é um despertar para o consumo consciente. O que acarreta como possibilidade o retorno à natureza de recursos utilizados de maneira correta. Conhecer uma conta de luz detalhada, aprender a calcular o consumo mensal de Kwh e diminuir o consumo de energia elétrica através da mudança de hábitos são exemplos cotidianos em que a matemática se faz presente. Relacionar a matemática ao estudo do meio ambiente proporciona através dos números mensurar os prejuízos e projetar soluções, torna a aprendizagem construtiva, podendo se constituir num comportamento cotidiano ou numa ação educativa para formar uma consciência ecológica dentro de indicadores reais. A aprendizagem se torna significativa quando relacionada ao cotidiano do aluno no sentido de mostrar o meio ambiente a que estão inseridos para que possam ser agentes transformadores, através da mudança de hábitos e principalmente desenvolvendo suas habilidades matemáticas. Sendo assim, o processo de ensino aprendizagem matemática-meio ambiente é realizado no sentido de oportunizar o conhecimento do mundo e domínio da natureza, com base nas linguagens matemáticas, criando-se condições de melhorar a capacidade de agir na sociedade, assumindo ações permanentes concentradas em um desenvolvimento sustentável para a continuidade da vida na Terra. Nesse diapasão, é possível desenvolver trabalhos pedagógicos “na trilha da matemática: do raciocínio ao meio-ambiente”. A resolução de situações problemas e assuntos referentes ao meio ambiente fazem com que os alunos tomem os cuidados necessários para com o meio ambiente, aos recursos por ele oferecidos e as consequências das ações errôneas causadas pelo homem.
Resumo:
Development of desalination projects requires simple methodologies and tools for cost-effective and environmentally-sensitive management. Sentinel taxa and biotic indices are easily interpreted in the perspective of environment management. Echinoderms are potential sentinel taxon to gauge the impact produced by brine discharge and the BOPA index is considered an effective tool for monitoring different types of impact. Salinity increase due to desalination brine discharge was evaluated in terms of these two indicators. They reflected the environmental impact and recovery after implementation of a mitigation measure. Echinoderms disappeared at the station closest to the discharge during the years with highest salinity and then recovered their abundance after installation of a diffuser reduced the salinity increase. In the same period, BOPA responded due to the decrease in sensitive amphipods and the increase in tolerant polychaete families when salinities rose. Although salinity changes explained most of the observed variability in both indicators, other abiotic parameters were also significant in explaining this variability.
Resumo:
Thermally driven liquid-desiccant air-conditioners (LDAC) are a proven but still developing technology. LDACs can use a solar thermal system to reduce the operational cost and environmental impact of the system by reducing the amount of fuel (e.g. natural gas, propane, etc.) used to drive the system. LDACs also have a key benefit of being able to store energy in the form of concentrated desiccant storage. TRNSYS simulations were used to evaluate several different methods of improving the thermal and electrical coefficients of performance (COPt and COPe) and the solar fraction (SF) of a LDAC. The study analyzed a typical June to August cooling season in Toronto, Ontario. Utilizing properly sized, high-efficiency pumps increased the COPe to 3.67, an improvement of 55%. A new design, featuring a heat recovery ventilator on the scavenging-airstream and an energy recovery ventilator on the process-airstream, increased the COPt to 0.58, an improvement of 32%. This also improved the SF slightly to 54%, an increase of 8%. A new TRNSYS TYPE was created to model a stratified desiccant storage tank. Different volumes of desiccant were tested with a range of solar array system sizes. The largest storage tank coupled with the largest solar thermal array showed improvements of 64% in SF, increasing the value to 82%. The COPe was also improved by 17% and the COPt by 9%. When combining the heat recovery systems and the desiccant storage systems, the simulation results showed a 78% increase in COPe and 30% increase in COPt. A 77% improvement in SF and a 17% increase in total cooling rate were also predicted by the simulation. The total thermal energy consumed was 10% lower and the electrical consumption was 34% lower. The amount of non-renewable energy needed from the natural gas boiler was 77% lower. Comparisons were also made between LDACs and vapour-compression (VC) systems. Dependent on set-up, LDACs provided higher latent cooling rates and reduced electrical power consumption. Negatively, a thermal input was required for the LDAC systems but not for the VC systems.
Resumo:
At the Merrick Landfill, located outside of North Bay (Ontario, CA), an investigation into the potential for an environmental impact to the Little Sturgeon River as a result of landfill leachate discharge was undertaken using toxicity testing using 96 hour acute lethality on Oncorhynchus mykiss (Rainbow Trout). Landfill leachate may present a risk to receiving environments as it is comprised of an array of chemicals including organics, ammonia, and metals. Testing was conducted in three phases, firstly testing was completed on site throughout an existing natural attenuation zone where the presence of several groundwater seeps down gradient of the site had been identified to determine the effectiveness of the existing leachate control features at reducing the environmental risks. These tests indicated that the existing capture strategies were largely effective at reducing toxicity risks to the receiving environment. Testing was also completed on two pilot-scale hybrid-passive treatment systems to determine their effectiveness for leachate treatment. Summer performance of a constructed gravel wetland system was also shown to be effective at reducing the toxicity of the landfill leachate at the site. Lastly in order to support evaluation of leachate treatment requirements, a toxicity identification evaluation (TIE) was performed to determine the principle cause of toxicity within the leachate. Based on water chemistry analyses of samples collected at various locations at the site, the TIE identified ammonia toxicity as the primary source of toxicity in the leachate, with a secondary focus on metal toxicity.
Resumo:
Les impacts environnementaux dues à l'extraction minière sont considérables. C'est l'action des microorganismes, en utilisant leur métabolisme du soufre sur les déchets miniers, qui engendre les plus grands défis. Jusqu'à présent, peu de recherches ont été effectués sur les microorganismes environnementaux pour la compréhension globale de l'action du métabolisme du soufre dans une optique de prévention et de rémédiation des impacts environnementaux de l'extraction minière. Dans cette étude, nous avons étudié une bactérie environnementale, Acidithiobacillus thiooxidans, dans le but de comprendre le métabolisme du soufre selon le milieu de culture et le niveau d'acidité du milieu. Nous avons utilisé la transcriptomique à haut débit, RNA-seq, en association avec des techniques de biogéochimie et de microscopie à électrons pour déterminer l'expression des gènes codants les enzymes du métabolisme du soufre. Nous avons trouvé que l'expression des gènes des enzymes du métabolisme du soufre chez ce microorganisme sont dépendantes du milieu, de la phase de croissance et du niveau d'acidité présent dans le milieu. De plus, les analyses biogéochimiques montrent la présence de composés de soufre réduits et d'acide sulfurique dans le milieu. Finalement, une analyse par microscopie électronique révèle que la bactérie emmagasine des réserves de soufre dans son cytoplasme. Ces résultats permettent une meilleure compréhension de son métabolisme et nous rapprochent de la possibilité de développer une technique de prédiction des réactions ayant le potentiel de causer des impacts environnementaux dus à l'extraction minière.
Resumo:
There are two main objectives behind the EC proposal on banking structural reform: the financial stability objective and the economic efficiency objective. If it is implemented, the reform should reinforce the stability and economic efficiency of household retail activities through lower contagion, better resolvability in the event of failure, more harmonised supervisory practices across the EU and more resilient household demand for retail loans. However, it could also trigger counterproductive effects that could partly undermine the expected benefits. These potential negative effects are not appropriately assessed in the impact study of the proposal published in January 2014 and will require further consideration in the coming months. In particular, the stability of household retail finance could be strengthened by placing more emphasis on bankruptcy risks of retail banks; the transfer of existing systemic activities towards less regulated and supervised markets and reputational risk. A better analysis of the borrowing costs for households (impacted by the potential decreasing diversification of the funding base of banks and scarcer liquidity) and implementation costs could help regulators to achieve the objective of efficient household activities.