Efeito do aumento da concentração de dióxido de carbono do ar sobre a murcha de ceratocystis em mudas clonais de eucalipto

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Uma modelagem de sequestro e armazenamento de dióxido de carbono atmosférico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Influência do aparelho fotoativador na resistência ao desgaste de compósitos restauradores

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

A multisensor, multitemporal approach for monitoring herbaceous vegetation growth in the Amazon floodplain

The Amazon River floodplain is an important source of atmospheric CO2 and CH4. Aquatic herbaceous vegetation (macrophytes) have been shown to contribute significantly to floodplain net primary productivity (NPP) and methane emission in the region. Their fast growth rates under both flooded and dry conditions make herbaceous vegetation the most variable element in the Amazon floodplain NPP budget, and the most susceptible to environmental changes. The present study combines multitemporal Radarsat-1 and MODIS images to monitor spatial and temporal changes in herbaceous vegetation cover in the Amazon floodplain. Radarsat-1 images were acquired from Dec/2003 to Oct/2005, and MODIS daily surface reflectance products were acquired for the two cloud-free dates closest to each Radarsat-1 acquisition. An object-based, hierarchical algorithm was developed using the temporal SAR information to discriminate Permanent Open Water (OW), Floodplain (FP) and Upland (UL) classes at Level 1, and then subdivide the FP class into Woody Vegetation (WV) and Possible Macrophytes (PM) at Level 2. At Level 3, optical and SAR information were combined to discriminate actual herbaceous cover at each date. The resulting maps had accuracies ranging from 80% to 90% for Level 1 and 2 classifications, and from 60% to 70% for Level 3 classifications, with kappa values ranging between 0.7 and 0.9 for Levels 1 and 2 and between 0.5 and 0.6 for Level 3. All study sites had noticeable variations in the extent of herbaceous cover throughout the hydrological year, with maximum areas up to four times larger than minimum areas. The proposed classification method was able to capture the spatial pattern of macrophyte growth and development in the studied area, and the multitemporal information was essential for both separating vegetation cover types and assessing monthly variation in herbaceous cover extent.

Emissão de gases de efeito estufa e estoque de carbono no solo em função do manejo e correção de acidez

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

Chemical weathering rate, denudation rate, and atmospheric and soil CO2 consumption of Parana flood basalts in Sao Paulo State, Brazil

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

Biomass consumption and CO2, CO and main hydrocarbon gas emissions in an Amazonian forest clearing fire

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

Modelling short-term temporal changes of bare soil CO2 emissions in a tropical agrosystem by using meteorological data

Determining the variability of carbon dioxide emission from soils is an important task as soils are among the largest sources of carbon in biosphere. In this work the temporal variability of bare soil CO2 emissions was measured over a 3-week period. Temporal changes in soil CO2 emission were modelled in terms of the changes that occurred in solar radiation (SR), air temperature (T-air), air humidity (AR), evaporation (EVAP) and atmospheric pressure (ATM) registered during the time period that the experiment was conducted. The multiple regression analysis (backward elimination procedure) includes almost all the meteorological variables and their interactions into the final model (R-2 = 0.98), but solar radiation showed to be the one of the most relevant variables. The present study indicates that meteorological data could be taken into account as the main forces driving the temporal variability of carbon dioxide emission from bare soils, where microbial activity is the sole source of carbon dioxide emitted. (C) 2003 Elsevier B.V. All rights reserved.

Iron oxides as proxies for characterizing anisotropy in soil CO2 emission in sugarcane areas under green harvest

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

Quantificação de CO2 e vapor de água nas interfaces bairro-cultura de eucalipto da reserva Floresta Estadual Navarro de Andrade no município de Rio Claro - SP

Environrnental issues are in focus lately, mainly due to climate change that have been registered in recent decades. Some of these changes are attributed to the increased atmospheric concentration of greenhouse gases induce, main1y due to anthropogenic emissions. These gases act by absorbing heat in the form of electromagnetic radiation emitted by the planet, and after a time interval, reissuing such radiation in various directions, including back to the surface, causing overheating of the same. Projections indicate that climate change wiIl tend to increase even more. Because of this, in recent years a number of studies are being conducted on the dynamics of inducers of greenhouse gases, especially C02, because that is primarily responsible for the development of that phenomenon. To better understand the flow of C02 are studied specific areas, as regions bordering the forests, soils that are under preparation for agriculture, urban areas, among others. Forests are an important sink for C02, because during the process of photosynthesis, this molecule is captured and used to obtain glucose. Thus, studies of the regions bordering the forests contribute enough to the understanding of the dynamics of C02. Because it requires a large amount of factors, the concentration of CO2 in a given location is very variable and this makes it much more difficult to understand their dynamics and, consequently, the action of the enhanced greenhouse effect. Being a relatively new area of study, there are many controversies about the consequences of the greenhouse effect, so that the community does not believe that climate change resulting from human action. According to them, such changes are merely natural phenomena and periodicals

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)

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

Pós-graduação em Geociências e Meio Ambiente - IGCE