Efeito do preparo do solo e resíduo da colheita de cana-de-açúcar sobre a emissão de CO2

The soil is one of the main C pools in terrestrial ecosystem, capable of storing significant C amounts. Therefore, understanding the factors that contribute to the loss of CO2 from agricultural soils is critical to determine strategies reducing emissions of this gas and help mitigate the greenhouse effect. The purpose of this study was to investigate the effect of soil tillage and sugarcane trash on CO2 emissions, temperature and soil moisture during sugarcane (re)planting, over a study period of 15 days. The following managements were evaluated: no-tillage with crop residues left on the soil surface (NTR); without tillage and without residue (NTNR) and tillage with no residue (TNR). The average soil CO2 emission (FCO2) was lowest in NTR (2.16 µmol m-2 s-1), compared to the managements NTNR (2.90 µmol m-2 s-1) and TNR (3.22 µmol m-2 s-1), indicating that the higher moisture and lower soil temperature variations observed in NTR were responsible for this decrease. During the study period, the lowest daily average FCO2 was recorded in NTR (1.28 µmol m-2 s-1), and the highest in TNR (6.08 µmol m-2 s-1), after rainfall. A loss of soil CO2 was lowest from the management NTR (367 kg ha-1 of CO2-C) and differing significantly (p<0.05) from the managements NTNR (502 kg ha-1 of CO2-C) and TNR (535 kg ha-1 of CO2-C). Soil moisture was the variable that differed most managements and was positively correlated (r = 0.55, p<0.05) with the temporal variations of CO2 emission from NTR and TNR. In addition, the soil temperature differed (p<0.05) only in management NTR (24 °C) compared to NTNR (26 °C) and TNR (26.5 °C), suggesting that under the conditions of this study, sugarcane trash left on the surface induced an average rise in the of soil temperature of 2 ºC.

Emissão de CO2, características do dossel e acúmulo de forragem em pastos de capim-pensacola sob frequências de desfolhação

The aim of this study was to evaluate CO2 emission, canopy characteristics and herbage accumulation in pastures of pensacola bahiagrass under frequencies of defoliation. The experiment was conducted at the Universidade Estadual Paulista Julio de Mesquita Filho, Faculty of Agrarian Sciences and Veterinary of UNESP, Jaboticabal, São Paulo, Brasil. The experimental period was from May 3rd to July 26th 2012. The experimental area comprised 28 m² of pensacola bahiagrass (Paspalum notatum Flügge), divided into 10 plots for allocation of treatment (frequencies of defoliation = 2 or 4 weeks). The following variables were studied: canopy height, light interception, leaf area index, herbage accumulation, tiller density, CO2 emissions, soil temperature and moisture. The frequencies of defoliation in the months of May, June and July slightly affect pensacola bahiagrass characteristics. CO2, soil temperature and moisture are more associated to environmental conditions (months of evaluation) than to the frequencies of defoliation imposed to the canopies.

Emissão de CO2 do solo associada à calagem em área de conversão de laranja para cana-de-açúcar

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Spatial Variability of CO2 Emissions from Newly Exposed Paraglacial Soils at a Glacier Retreat Zone on King George Island, Maritime Antarctica

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Mobilização do solo na semeadura do milho: emissão de CO2 e desempenho de máquinas agrícolas

Pós-graduação em Agronomia (Ciência do Solo) - FCAV

Analise das emissões de CO2 e de energia - simulação com novas tecnologias siderúrgicas

The process of steel production emits a large quantity of greenhouse gases, specifically carbon dioxide (CO2), and the reduction of such emissions is one of the main challenges for the industry in the 21st. Century. To quantify these emissions, the Worldsteel Association (association of the 170 large steel manufacturers of the world) published a methodology (CO2 Emission Data Collection) for calculation and comparison of CO2 emissions among its members. After that, in 2010, this methodology became an ISO (International Organization for Standardization) norm. Today, the calculation of the CO2 emissions in steel making companies follow the ISO 14404-1 for units with blast furnaces and the ISO 14404-2 for units with electric furnaces. In the last years, new technologies were and continue to be developed for the steel making sector aiming at energetic improvements and greenhouse gas reductions (mainly CO2) by the several processes involved in the production of steel. This work had the objective of producing a tool to calculate the CO2 emissions for the steel making sector. An Excel spreadsheet was developed to calculate the emission intensities of CO2 of a steel plant, the Usina Presidente Vargas, of the Companhia Siderúrgica Nacional (CSN). The spreadsheet furnishes results of CO2 emissions and energetic fluxes, and simulates the benefits that some of the new technologies can give to the company. The spreadsheet calculates the emissions in two ways: a) based on the carbon fluxes that enter the unit, and b) based on the emissions of each specific process within the unit (coking, sinterization, blast furnace, among others)

Short-term CO2-C emissions from soil prior to sugarcane (Saccharum spp.) replanting in southern Brazil

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Seasonal fluctuation of soil carbon dioxide emission in differently managed pastures

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Emissão de CO2 em um latossolo vermelho coberto com palha sob aplicação de efluente e lodo de esgoto

Pós-graduação em Agronomia (Ciência do Solo) - FCAV

Variabilidade espaço-temporal da emissão de CO2 do solo em curto período sob influência de eventos de precipitação

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Análise termoeconômica e eficiência ecológica de uma termoelétrica com absorção química de CO2

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Emissão de CO2 do solo em áreas de restauração na Mata Atlântica

Pós-graduação em Geociências e Meio Ambiente - IGCE

Estudio de viabilidad para almacenamiento de CO2 en la cuenca del Guadalquivir

El objetivo de este proyecto es investigar la viabilidad del almacenamiento de CO2 en un acuífero salino profundo ubicado en el margen suroccidental de la Cuenca del Guadalquivir. Este proyecto está destinado a una operación industrial con tasas de emisión de CO2 superiores a medio millón de toneladas anuales. Se ha construido un modelo geológico de la formación almacén en Petrel y se ha simulado la inyección utilizando la versión composicional de ECLIPSE. El objetivo es inyectar CO2 manteniendo una tasa de inyección constante durante 30 años, el máximo periodo permitido por la legislación española sobre almacenamiento geológico de CO2. La cantidad de CO2 inyectada en cada uno de los casos ha sido determinada. Los resultados parecen indicar que la inyección de CO2 a escala industrial podría ser viable, aunque la viabilidad del proyecto podría verse comprometida por la escasa profundidad a la que se encuentra el contacto entre la formación almacén y el sello lateral. Antes de seguir adelante con el desarrollo del proyecto sería conveniente determinar mejor la continuidad lateral de la formación almacén y sus condiciones de sello. ABSTRACT The aim of this project is to investigate the feasibility of CO2 geological storage in a deep saline aquifer located onshore in the southwestern margin of Guadalquivir Basin. The project is addressed for an industrial scale operation with CO2 emission rates higher than half a million tons per year. A geological model of the target reservoir was built in Petrel and injection simulations were performed with the compositional version of ECLIPSE. The purpose is to inject CO2 at constant rate during 30 years, the maximum period allowed by the Spanish law on carbon dioxide geological storage. The amount of CO2 injected in each studied scenario has been determined. Results suggest that CO2 injection at industrial scale could be viable, but the project feasibility could be endangered by the shallow depth of the contact between the target reservoir and the lateral seal. Prior to injection, further work should include ascertaining the reservoir’s lateral continuity and better determination of its sealing conditions

Modelling and forecasting fossil fuels, CO2 and electricity prices and their volatilities

In the current uncertain context that affects both the world economy and the energy sector, with the rapid increase in the prices of oil and gas and the very unstable political situation that affects some of the largest raw materials’ producers, there is a need for developing efficient and powerful quantitative tools that allow to model and forecast fossil fuel prices, CO2 emission allowances prices as well as electricity prices. This will improve decision making for all the agents involved in energy issues. Although there are papers focused on modelling fossil fuel prices, CO2 prices and electricity prices, the literature is scarce on attempts to consider all of them together. This paper focuses on both building a multivariate model for the aforementioned prices and comparing its results with those of univariate ones, in terms of prediction accuracy (univariate and multivariate models are compared for a large span of days, all in the first 4 months in 2011) as well as extracting common features in the volatilities of the prices of all these relevant magnitudes. The common features in volatility are extracted by means of a conditionally heteroskedastic dynamic factor model which allows to solve the curse of dimensionality problem that commonly arises when estimating multivariate GARCH models. Additionally, the common volatility factors obtained are useful for improving the forecasting intervals and have a nice economical interpretation. Besides, the results obtained and methodology proposed can be useful as a starting point for risk management or portfolio optimization under uncertainty in the current context of energy markets.

Monitorización de emisiones de CO2 en un análogo natural mediante correlación con Índices de Vegetación

Entre las soluciones más satisfactorias al problema de las emisiones de CO2 está la captura y almacenamiento de este gas de efecto invernadero en reservorios profundos. Esta técnica implica la necesidad de monitorizar grandes extensiones de terreno. Utilizando una zona de vulcanismo residual, en la provincia de Ciudad Real, se han monitorizado las emisiones de CO2 utilizando imágenes de muy alta resolución espacial. Se han generado índices de vegetación, y estos se han correlacionado con medidas de contenido de CO2 del aire en los puntos de emisión. Los resultados han arrojado niveles de correlación significativos (p. ej.: SAVI = -0,93) y han llevado a descubrir un nuevo punto de emisión de CO2. Palabras clave: teledetección, CO2, vegetación, satélite Monitoring CO2 emissions in a natural analogue by correlating with vegetation indices Abstract: Among the most satisfactory solutions for the CO2 emissions problem is the capture and storage of this greenhouse gas in deep reservoirs. This technique involves the need to monitor large areas. Using a volcanic area with residual activity, in the province of Ciudad Real, CO2 emissions were monitored through very high spatial resolution imagery. Vegetation indexes were generated and correlated with measurements of the air?s CO2 content at the emission points. The results yielded significant correlation levels (e.g.: SAVI = -0.93) and led to the discovery of a new CO2 emission point. Keywords: remote sensing, CO2, vegetation, satellite.