197 resultados para Variáveis climáticas
Resumo:
A Agricultura de Precisão (AP) permite a utilização de diferentes ferramentas na obtenção de informações, e estas otimizam a tomada de decisão por parte do produtor, impactando positivamente na receita final. O objetivo do trabalho foi verificar o comportamento das variáveis produção (PROD), volume de copa (VC) e diâmetro de caule (DC) da variedade Maxi Gala com a utilização da técnica da cokrigagem. O experimento foi conduzido em uma área de 0,90 hectare de produção comercial da variedade Maxi Gala, na Fazenda São Paulino, da empresa RASIP, em Vacaria-RS, apresentando como coordenadas geográficas 28º31’17” de latitude sul e 50º49’17” de longitude oeste, durante as safras de 2010/2011 e 2011/2012. Coletaram-se 75 amostras para cada variável, em uma malha de 12 m na entrelinha e 10 m na linha. As variáveis avaliadas foram produção por planta , volume de copa e diâmetro de caule. Foram feitas a análise estatística descritiva dos dados e a análise espacial através dos semivariogramas. De posse dos modelos ajustados, realizou-se a interpolação pelo método da krigagem. Após, foi realizada a correlação simples dos parâmetros e elaborado os semivariogramas cruzados para interpolação, pela técnica da cokrigagem. Os parâmetros PROD versus DCapresentaram média correlação na variedade Maxi Gala, na safra de 2011. Nas safras de 2011 e 2012, os parâmetros VC versus DC também apresentaram média correlação. A técnica da cokrigagem pode ser uma ferramenta daAP a ser utilizada pela cultura da macieira no levantamento de informações.Verificou-se que houve resposta e redução na coleta de amostras das variáveis mais difíceis; na safra de 2011, reduziu-se a coleta de 15 amostras da PROD, e na safra de 2012, reduziu-se a coleta de 20 amostras do VC.
Resumo:
The distribution and abundance of specific lipid biomarkers in marine sediments can play an important rule for the reconstruction of past climatic changes. Here, it is shown the use of a widely known paleo Sea Surface Temperature (SST) proxy based on the unsaturation ratio of a suite of long-chain C37 alkenones: the alkenone unsaturation index, U K37'. These compounds are biosynthesised by only a restricted group of prymnesiophyte algae, mostly notably the coccolithophorid Emiliania huxleyi. To ilustrate the importance of the U K37' index as a molecular tool, the correlation between the SST signal derived from the U K37' and other paleoclimatic records examined in a core from the North Atlantic is discussed.
Resumo:
The catalytic combustion of methane on alumina supported palladium catalysts was studied. It has been reported that the activity of the catalyst increases with its time on line, despite of an increase of the palladium particle size. However, different preparation, pretreatment and testing conditions can be the reason for the observed different results. An experimental design, which allows to verify the influence of several parameters at the same time with a good statistical quality, was used. A Plackett-Burman design was selected for the screening of the variables which have an effect on the increase of the catalyst activity.
Resumo:
Genetic algorithm was used for variable selection in simultaneous determination of mixtures of glucose, maltose and fructose by mid infrared spectroscopy. Different models, using partial least squares (PLS) and multiple linear regression (MLR) with and without data pre-processing, were used. Based on the results obtained, it was verified that a simpler model (multiple linear regression with variable selection by genetic algorithm) produces results comparable to more complex methods (partial least squares). The relative errors obtained for the best model was around 3% for the sugar determination, which is acceptable for this kind of determination.
Resumo:
This paper describes an experimental design technique, known as variables search, developed to expose the critical variables and screen out the irrelevant ones. It is easy to learn and use and clearly dissociates the main and interactions effects from each other. An example of air separation process by pressure swing adsorption was used to demonstrate how the variables search technique works. The phases of identification of the critical variables is shown, step by step,.
Resumo:
The process of building mathematical models in quantitative structure-activity relationship (QSAR) studies is generally limited by the size of the dataset used to select variables from. For huge datasets, the task of selecting a given number of variables that produces the best linear model can be enormous, if not unfeasible. In this case, some methods can be used to separate good parameter combinations from the bad ones. In this paper three methodologies are analyzed: systematic search, genetic algorithm and chemometric methods. These methods have been exposed and discussed through practical examples.
Resumo:
The present study evaluated the influence of nitrogen, phosphorus and ºBrix on the production of MSCT through a factorial design methodology and analysis of response surface. The objective was to propose a statistically significant probabilistic model for the alcoholic fermentation. In order to obtain less MSCT, the medium under fermentation needs to present low sugar concentration. It was observed that phosphorus and nitrogen, even with no significant individual effects, presented interactions with each other decreasing the production of MSCT, which improves alcohol quality.
Resumo:
The main analytical variables of a modified Folin-Ciocalteu method were studied by UV-Vis and gradient HPLC-PDA methods, using purified (PC) and technical grade (TGC) casein. Rutin and an aqueous extract of Psidium guajava L. leaves were used as models. The best results were ascribed to TGC. Certainly PC bonds the polyphenols of the P. guajava extract better than TGC, but TGC afforded better precision. A lack of specificity occurred when rutin was analyzed together with the P guajava extract. Additional analyses performed with the flavonoid fraction of P. guajava extract by HPLC-PDA had confirmed that casein was able to bind catechin, gallic acid and P. guajava flavonoids in a non-specific way.
Resumo:
The copper and cadmium complexation properties in natural sediment suspensions of reservoirs of the Tietê River were studied using the solid membrane copper and cadmium ion-selective electrodes. The complexation and the average conditional stability constants were determined under equilibrium conditions at pH=6.00 ± 0.05 in a medium of 1.0 mol L-1 sodium nitrate, using the Scatchard method. The copper and cadmium electrodes presented Nernstian behavior from 1x10-6 to 1x10-3 mol L-1 of total metal concentration. Scatchard graphs suggest two classes of binding sites for both metals. A multivariate study was done to correlate the reservoirs and the variables: complexation properties, size, total organic carbon, volatile acid sulfide, E II and pH.
Resumo:
Ozonation tests with and without prior filtration by means of a 50 micron mesh cartridge filter were conducted with primary sanitary effluents. Filtration led to increased inactivation efficiencies with regard to total and thermotolerant coliforms but it did not seem to influence heterotrophic plate count (HPC) bacteria inactivation efficiencies significantly. Application of the Chick-Watson model to experimental data obtained in the situation of constant inactivation showed that the ozone dosage was more important to bacterial inactivation than the contact time with regard to the cases of thermotolerant coliform inactivation in filtered samples and HPC bacteria and total coliform inactivation in non-filtered samples.
Resumo:
Environmental chambers were designed for the accelerated ageing of materials used in artistic artifacts to study the synergistic action of temperature, humidity, UV and visible radiation and gaseous pollutants. Two inox-steel/PTFE compartments are kept under controlled temperature and relative humidity, whose values are transmitted to a PC, which stores, plots in real time and continuously feedback heating and humidifying devices through logical signals. A borosilicate, or quartz, window allows the irradiation inside the chamber from an external source. A flow of purified air purges the chamber and conveys selected pollutants from an external source. Each independent compartment works under either stationary or cyclic conditions.
Resumo:
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.
Resumo:
A podridão peduncular (PP) e a antracnose são as principais doenças pós-colheita do mamão (Carica papaya). Avaliou-se o efeito de 11 tratamentos (mg.l-1 i.a.) em seu controle: 1-chlorothalonil PM (1500); 2-chlorothalonil SC (2000); 3-chlorothalonil + oxicloreto de cobre PM (875 + 1050); 4-tiofanato metílico + chlorothalonil PM (400 + 1000); 5-tiofanato metílico PM (700); 6-tolylfluanid PM (750); 7-tebuconazole CE (200); 8-triadimenol CE (250); 9-fluazinam SC (500); 10-iminoctadine F (300) e 11-testemunha. Utilizou-se delineamento em blocos casualizados com quatro repetições e oito plantas / parcela, em pomar de 'Improved Sunrise Solo Line 72/12', em Linhares-ES. De março de 1997 até março de 1998, realizaram-se pulverizações bissemanal a mensalmente e, a partir de setembro, 12 colheitas de nove frutos / parcela. Dez a 12 dias após a colheita, avaliou-se a incidência da antracnose e da PP e a severidade da antracnose, com o uso de escala de notas de 0 a 4. A incidência da antracnose variou de 68,5 a 100% na testemunha. A correlação entre incidência e severidade da antracnose foi alta (r = 0,86). O uso de fungicidas não reduziu a incidência de PP. Exceto os tratamentos 7 e 8, os demais reduziram 26,4 a 41,2% a média geral da incidência de antracnose, em relação à testemunha. Não houve interação entre tratamentos e épocas de avaliação. Houve redução de até 73,6% da incidência de antracnose. A maior incidência da antracnose e a menor eficiência dos fungicidas ocorreu de novembro a 15 de janeiro, quando ocorreu maior quantidade de chuva (505 mm em 16 dias).