The quality of red wine was evaluated relating the variation of meteorological conditions such as color quantification and phenolic compound. Red wines of the cultivars Vitis vinifera, Cabernet Sauvignon, Merlot and Tannat, of the crops of 2003 and 2004 from the low-land (Santana do Livramento) or high-land (Bento Gonçalves) regions of the state of Rio Grande do Sul were analyzed. The phenolic compounds quantified were total flavonoids, anthocyanic flavonoids, non-anthocyanic flavonoids, total polyphenols, polymerized polyphenols, total anthocyanins and free anthocyanins. For the color were analyzed the color intensity and tonality and the chromatic parameters relative to the color spaces that were calculated from the tristimuli values, X, Y, and Z, based on the visible absorption spectra (400-700 nm) with 10nm of pause, on the illuminant D65 reading. The meteorological data related to the crop seasons of 2003 and 2004 were provided by 'Embrapa Uva e Vinho' (Agro meteorological station) in Bento Gonçalves and by 'Pernod Ricard' Brazil (meteorological station in Santana do Livramento). The wines of the cultivar Tannat of the crops of 2003 and 2004 has a high level of phenolic compounds, color intensity and chromatic parameters, due to the cultivar characteristics of having in its composition high level of anthocyanins, showing the red tint, while the wines of the cultivar Cabernet Sauvignon of the 2003 crop, from both regions has low level of phenolic compounds and low color intensity, showing a ruby tint. The 2004 crop in the low-land and high-land regions shows high level of phenolic compounds and color intensity, due to the climatic conditions favorable, dry, high insulation and with media temperature higher on the grapes maturation period, what provided a more complete maturation, mainly phenolic, while the 2003 crop presented a lot of precipitation and low insulation during the grapes maturation period. / Avaliou-se a qualidade dos vinhos tintos relacionando-os a variação das condições meteorológicas com a quantificação da cor e dos compostos fenólicos. Foram analisados vinhos tintos das variedades Vitis vinifera, Cabernet Sauvignon, Merlot e Tannat, das safras de 2003 e 2004 provenientes da região de Santana do Livramento (Região da Campanha) e de Bento Gonçalves (Serra gaúcha), do Rio Grande do Sul. Os compostos fenólicos quantificados foram os flavonóides totais, flavonóides antociânicos, flavonóides não-antociânicos, polifenóis totais, polifenóis polimerizados, antocianinas totais e antocianinas livres. Quanto à cor, foram analisadas a intensidade e a tonalidade bem como os parâmetros cromáticos relativos aos espaços de cor, calculados a partir de valores triestímulos X,Y,Z, com base nos comprimentos de onda de 400 a 700 nm, em intervalos de 10 nm, nas leituras do iluminante D65. Os dados das condições meteorológicas referentes às safras 2003 e 2004 foram fornecidos pela Estação Agroclimatológica da Embrapa Uva e Vinho, de Bento Gonçalves, e pela Estação Meteorológica da Pernod Ricard Brasil, de Santana do Livramento. Os vinhos da variedade Tannat, das safras de 2003 e 2004, apresentaram maior teor de compostos fenólicos, intensidade de cor e os parâmetros cromáticos, devido às características da variedade de possuírem em sua composição maiores teores de antocianinas, o que indica vinhos de tonalidade vermelha, enquanto que os vinhos da variedade Cabernet Sauvignon da safra 2003 apresentaram, nas duas regiões, menores teores de compostos fenólicos comparados com as outras variedades, com pouco valor de intensidade de cor, indicando uma tonalidade rubi. A safra de 2004, nas regiões de Bento Gonçalves e de Santana do Livramento, apresentaram um maior teor de compostos fenólicos e um elevado índice de intensidade de cor, devido às condições meteorológicas favoráveis, safra seca e ensolarada, com temperatura média do ar mais elevada no período de maturação das uvas, que proporcionaram índices de maturação, principalmente a fenólica, mais completa, enquanto que a safra de 2003 apresentou muita precipitação pluvial e pouca insolação durante o período de maturação das uvas.

Submitted by Carlos Henrique Augusto null (caheaug@gmail.com) on 2018-03-23T19:43:51Z No. of bitstreams: 1 ZONAS HOMOGÊNEAS DE MANEJO POR MEIO DE VARIÁVEIS EDAFOCLIMÁTICAS E DE PRODUTIVIDADE.pdf: 4887969 bytes, checksum: f9f7dded5e127da5325c1b1fbf7b57dd (MD5) / Approved for entry into archive by Maria Lucia Martins Frederico null (mlucia@fca.unesp.br) on 2018-03-23T19:59:20Z (GMT) No. of bitstreams: 1 augusto_ch_me_botfca.pdf: 4887928 bytes, checksum: 78e2387068a46ce3ac48c992ecb5c599 (MD5) / Made available in DSpace on 2018-03-23T19:59:20Z (GMT). No. of bitstreams: 1 augusto_ch_me_botfca.pdf: 4887928 bytes, checksum: 78e2387068a46ce3ac48c992ecb5c599 (MD5) Previous issue date: 2018-02-01 / O aumento da população mundial e a limitada área disponível para a produção de alimentos, exige que busquemos cada vez mais técnicas e tecnologias que aumentem a produtividade das áreas agrícolas. A produtividade de uma determinada cultura depende de diversos fatores, e conhecer os fatores que mais influenciam a determinação do seu potencial produtivo pode contribuir para a tomada de decisão em relação à utilização e gestão de recursos. Utilizando dados de monitores de colheita da cultura da soja nas safras de 08/09, 10/11, 11/12, 12/13, 14/15 e 15/16, dados de precipitação destes anos, mapa de Condutividade Elétrica (CE) e das características químicas do solo para as safras de 09/10, 13/14, 14/15 e 15/16, este trabalho teve o objetivo de identificar os fatores mais relevantes para a determinação da produtividade da soja para auxiliar na determinação de Zonas Homogêneas de Manejo (ZHM) baseadas nestas características críticas. Comprovou-se que a disponibilidade de água é a principal determinante da produtividade da soja nas condições estudadas, sendo que a precipitação no mês de setembro, mês de implantação da cultura, apresentou-se como o fator mais crítico. Utilizando o mapa de produtividade média da cultura durante os anos estudados e o mapa de CE, foi possível identificar as áreas de potencial produtivo, mas a definição de ZHM mostrou-se desafiadora pois as características químicas do solo apresentaram alta variabilidade temporal, dificultando a determinação do manejo que poderia melhor explorar as áreas de maior ou menor potencial produtivo. / The growing world population and the limited area available for food production requires us to progressively seek techniques and technologies that increase the yield of agricultural crops. The yield of a crop depends on several factors and knowing the factors that most influences its yield potential can contribute to the decision making process regarding the use and management of resources. Using data from soybean yield monitors of 08/09, 10/11, 11/12, 12/13, 14/15 and 15/16 season, precipitation data from these years, Electric Conductivity (EC) map and the chemical characteristics of the soil for the 9/10, 13/14, 14/15 and 15/16 crops, this work had the objective of identifying the most relevant factors that determine soybean yield to assist in the determination of Homogeneous Management Zones (HMZ) based on these critical characteristics. The availability of water was the main factor of soybean yield under the conditions the study was carried out, and the precipitation in September was the most critical factor, being the month in which the crop was seeded. Using the average productivity map and the EC map, it was possible to identify areas of yield potential, but the definition of HMZ was challenging because the chemical characteristics of the soil had high temporal variability, making it difficult to determine the best management to explore the areas of greater or lesser yield potential.

Transport, whose intensity year by year increase, has assuredly influence on air quality. This issue solution will be focused especially on localities burden with transport in urban areas. The contribution of transport to increased values of air pollution will be evaluated with regards to meteorological conditions. Background stations from Czech Hydrometeorological Institute categorization will be chosen such as comparative sites. Pollutants emitted from traffic such as particulate matter, nitrogen oxides and carbon monoxide will be observed except meteorological conditions.

Outdoor air pollution is a major contributor to adverse health effects of citizens, in particular those living in urban environments. Air quality monitoring networks are set up to measure air quality in different environments in compliance with national and European legislation. Generally, only a few fixed monitoring sites are located within a city and thus cannot represent air pollutant concentrations in urban areas accurately enough to allow for a detailed human exposure assessment. Other approaches to derive detailed urban air pollutant concentration estimates exist, such as dispersion models and land-use regression (LUR) models. Low-cost portable air quality monitors are also emerging, which have the potential to add value to existing monitoring networks by providing measurements at greater spatial resolution and also to provide individual-level exposure assessment. The aim of this thesis is to demonstrate how measurements and modelling in combination allow detailed investigations of the variability of air pollutants in space and time in urban area, and in turn improve on the current exposure assessment methods. Three types of low-cost portable monitors measuring NO2, O3 (Aeroqual monitors) and PM2.5 (microPEM monitor) were evaluated against their respective reference instruments. The Aeroqual O3 monitor showed very good correlation (r2 > 0.9) with the respective reference instruments, but biases in the slope and intercept coefficients indicated that calibration of Aeroqual O3 monitor was needed. The Aeroqual NO2 monitor was subject to cross-sensitivity from O3, which, as demonstrated, can be effectively corrected by making O3 and NO2 measurements in tandem. Correlation between the microPEM monitor and its reference instrument was poor (r2 < 0.1) when PM2.5 concentrations were low (< 10 μg m-3), but significantly improved (r2 > 0.69) during periods with elevated PM2.5 concentrations. Relative humidity was not found to affect the raw results of PM2.5 measurements in a consistent manner. All three types of monitors cannot be used as equivalent or indicative methods instead of reference methods in studies that require quantification of absolute pollutant concentrations. However, the generally good correlations with reference instruments reassure their application in studies of relative trends of air pollution. Concentrations of PM2.5, ultrafine particles (UFP) and black carbon (BC) were quantified using portable monitors through a combination of mobile and static measurements in the city of Edinburgh, UK. The spatial variability of UFP and BC was large, of similar magnitude and about 3 times higher than the spatial variability of PM2.5. Elevated concentrations of UFP and BC were observed along streets with high traffic volumes whereas PM2.5 showed less variation between streets and a footpath without road traffic. Both BC and UFP significantly correlated with traffic counts, while no significant correlation between PM2.5 and traffic counts was observed. The relationships between UFP, NO2 and inorganic components of PM2.5 were further investigated through long-term measurements at roadside, urban background and rural sites. UFP moderately correlated with NOx (NO2 + NO) and showed varying relationships with NOx depending on the particle size distribution. Principal component analysis and air-mass back trajectory analysis revealed that PM2.5 concentrations were dominated by long-range transport of secondary inorganic aerosols, whereas UFP were mainly related to varying local emissions and meteorological conditions. These findings imply the need for different policies for managing human exposure to these different particle components: control of much BC and UFP appears to be manageable at local scale by restricting traffic emissions; however, abatement of PM2.5 requires a more strategic approach, in cooperation with other regions and countries on emissions control to curb long-range transport of PM2.5 precursors. A dispersion model (ADMS-Urban) was used to simulate high resolution NO2 and O3 concentrations in Edinburgh. The effects of different emission and meteorological input datasets on the resulting modelled NO2 concentrations were investigated. The modelled NO2 and O3 concentrations using the optimal model setup were validated against reference instrument and diffusion tube measurements. Temporal variability of NO2 was predicted well at locations that were not heavily influenced by local effects, such as road junctions and bus stops. Temporal variability of O3 was predicted better than for NO2. Long-term spatial variability of NO2 was found to correlate well with diffusion tube measurements, while modelled spatial variability of O3 in ADMS-Urban compared poorly with diffusion tube measurements. However, it was found that the O3 diffusion tube measurements may be subject to some unidentified biases affecting their accuracy. Land-use regression (LUR) models are widely used to estimate exposure to air pollution in urban areas. An appropriately sized and designed monitoring network is an important component for the development of a robust LUR model. Concentrations of NO2 were simulated by ADMS-Urban at ‘virtual’ monitoring sites in 54 different network designs of varying numbers and types of site, using a 25 km2 area including much of the Edinburgh city area. Separate LUR models were developed for each network. These LUR models were then used to estimate ambient NO2 concentrations at all residential addresses, which were evaluated against the ADMS-Urban modelled concentration at these addresses. The improvement in predictive capability of the LUR models was insignificant above ~30 monitoring sites, although more sites tended to yield more precise LUR models. Monitoring networks containing sites located within highly populated areas better estimated NO2 concentrations across all residential locations. LUR models constructed from networks containing more roadside sites better characterised the high end of residential NO2 concentrations but had increased errors when considering the whole range of concentrations. No particular composition of monitoring network resulted in good estimation simultaneously across all residential NO2 concentration and of the highest NO2 levels implying a lack of spatial contrast in LUR-modelled pollution surface compared with the dispersion model. Finally, the results from the measurement and modelling studies presented in thesis are synthesised in the context of current exposure assessment studies. Low-cost air-quality monitors currently do not possess and are unlikely in the near future to provide the robustness and accuracy to replace the existing routine monitoring network. Development of the low-cost air-quality should be aiming at upgrading them as the indicative method as defined in the data quality objective in the EU directive. The monitoring sites used to build LUR models should capture well the population distribution in the study area as opposed to capturing the greatest pollution contrast. The traditional methods of evaluating LUR models are also ineffective in characterising the models’ capability at estimating pollutant concentration at residential address. Given that the dispersion models are also subject to the availability and uncertainties in the input data, future air quality model development should endeavour to incorporate both dispersion and land-use regression models, where the uncertainty in the input data can be reduced by using LUR models built on actual measurements, and the limitation in the statistical modelling can be replaced by adopting the deterministic approach used in the dispersion model.