Under de senaste åren har tillverkningsprocessen av betong genomgått en förändring föratt göra materialet och processer mer miljövänliga. Detta är en följd av att betong räknasvara ett av de viktigaste byggnadsmaterialen i världen. En viktig anledning till denomfattande användningen av betong är att betong som material är fuktbeständigt, att detinte möglar och att det är väldigt formbart.Förenta nationerna nämner 17 globala mål vars uppgift är att främja hållbarhet i framtidendär mål nio anger ”Bygga upp en motståndskraftig infrastruktur, verka för eninkluderande och hållbar industrialisering och främja innovation”. Detta faktum måstenaturligtvis tas hänsyn till även vid tillverkningen av betong och dess beståndsdelar.Syftet med det här examensarbetet är att med hjälp av ett stort antal mätpunkter visa påolika styrkor och svagheter inom tre olika typer av prognostiserande beräkningsverktygav torkningstider. Målet med arbetet är att jämföra statistik av praktiska mätningar,utfärdade av Conservator AB, med varandra och med de tre vanligasteberäkningsprogrammen som används för att beräkna uttorkningstider av betong.I de undersökta byggdelarna i arbetet gav TorkaS den högsta noggrannheten och sedanföljt väldigt nära av PPB. Utöver detta uppfyller de förväntningar som borde kunna ställaspå prognostisering av uttorkningstid för betong. Studien har också visat attuttorkningstiden för betong i nyproduktion påverkas mest av uttorkningsklimatet och tjockleken på avjämningsmassan. / In the recent years, the manufacturing of concrete has undergone a change to make theprocesses and the material more environmentally friendly. This is accompanied by thefact that concrete is one of the most important building materials in the world. This islargely because concrete as a material is moisture resistant, does not mold and is highlyformable.The United Nations mentions 17 global goals whose mission is to promote sustainabilityin the future whereas the ninth one states that “Build resilient infrastructure, promoteinclusive and sustainable industrialization and foster innovation”. This leads to the factthat it needs to take in consideration the manufacturing of concrete and its components.The purpose of this research is to show strengths and weaknesses in prediction tools forconcretes drying time by comparison with data from many measuring points. Besidesthat, the aim is to compare statistics of practical measurements, which were issued byConservator AB, with each other and with other three most commonly used programs inforecasting the drying time for concrete, i.e. TorkaS, BI-Dry and PPB.From the building sections that were researched, TorkaS gave the highest accuracy inforecasting the drying time and then followed very closely by PPB. In addition, BI-Drydid not meet the expected requirements on some of the building sections. Besides that, thestudy has shown that the drying time of concrete in new production is most influenced bythe drying climate and the thickness of the compound.

The greater sage-grouse (Centrocercus urophasianus) is a species of conservation concern that has undergone serious declines in the last century. The Strawberry Valley sage grouse population in Utah underwent such a decline from an estimated 3,500 sage grouse in the 1930s to 150 sage grouse in the early 2000s. This decline initiated a long-term conservation and monitoring project in Strawberry Valley with the goal of preserving the sage grouse population. As part of this ongoing conservation project, we investigated factors that impact the success of capturing sage grouse using the night-lighting method (Chapter 1). We found that capture success is influenced by precipitation, frost, vegetation, flock size, capture crew size, mode of transportation, and sex of the sage grouse. We provide information on these influential factors as well as recommendations on equipment and technique. We also compiled a dataset beginning in the 1930s of sage grouse clutch sizes from the Strawberry Valley population to determine the average number of eggs per clutch (Chapter 2). We investigated average clutch size over time, factors that influence average clutch size, and the accuracy and reliability of our clutch size counts. We found yearly variation in average clutch size that shows a weak, positive correlation with population size. Clutch sizes were smaller if laid as a re-nest or by sage grouse recently translocated from a different population. We found evidence that some of our clutch size counts are approximately two eggs fewer than the actual number laid by the sage grouse.

The atmospheric boundary layer (ABL) is the lowest layer of the atmosphere where surface effects are felt on time scales of about an hour. While its properties are determined by the surface characteristics, season and synoptic conditions, they in turn determine convective cloud properties and are required for the representation of cloud processes in atmospheric models. Further, interaction of the ABL with the surface layer of the ocean is a key component of ocean-atmosphere coupling. ABL characteristics over ocean surrounding the sub-continent become very important for understanding the monsoon processes during the monsoon season because the roots of many monsoon systems, that give rain to India, are over there. In this thesis data used are from three major field experiments namely the Bay of Bengal Monsoon Experiment (BOBMEX, 1999), Arabian Sea Monsoon Experiment (ARMEX, in two phases, ARMEX-I during 2002 and ARMEX-II in 2003), and Continental Tropical Convergence Zone (CTCZ) experiment (Pilot in 2009) which were carried out under the Indian Climate Research Programme (ICRP). While there have been few studies on ABL characteristics for individual cruises, a comprehensive study considering all available radiosonde data from the above cruises has been missing. This study fills this gap and focuses on the vertical structure of ABL using more than 400 high resolution Vaisala GPS radiosonde data collected over Bay of Bengal and Arabian Sea. The study attempts at first to look at the ABL characteristics of individual cruises and then compare and contrast them over the Bay of Bengal and Arabian Sea. ABL height Hm, estimated by using virtual potential temperature (θv) profile, shows diurnal variation during weak phase of convection while maximum in early morning during active phase of convection. Different variables i.e. moist static energy (h), specific humidity (q), convective available potential energy (CAPE), virtual potential temperature (θv) and equivalent potential temperature (θe) also differ during weak and active convection periods. Conserved variables mixing line approach gives the height up to which ground thermals penetrate in the vertical. This height, denoted by MH that represents the actual ABL height, is 2-3 times larger than Hm when shallow convective clouds are present. In general both Hm and MH are 20-30% larger over Arabian Sea compares to that over Bay of Bengal. Comparison of surface convective available potential energy (CAPE) and equivalent potential temperature (θe) between normal and deficit monsoon years shows that convective instability was as large in deficit years. This means that dynamic and not thermodynamics, controlled the occurrence of convection.

Made available in DSpace on 2016-08-12T19:15:36Z (GMT). No. of bitstreams: 1 ThiagoPS_DISSERT.pdf: 1141491 bytes, checksum: daa95022c775bd52ef89015fbc679f4f (MD5) Previous issue date: 2016-02-16 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / The spacing and planting date are factors that can influence the yield of lettuce. Aiming to evaluate the production of American lettuce in relation to spacing and planting season were conducted four experiments in the garden of Departamento de Ciências Vegetais da Universidade Federal Rural do Semi-árido (UFERSA), campus de Mossoró-RN. Each experiment was carried out in the field at a season of planting: 12/23/2014 (summer), 03/25/2015 (autumn), 06/22/2015 (winter) and 09/23/2015 (spring). The characteristics evaluated were height and plant diameter (cm), number of leaves (plant-1), fresh and dry weight of plants (g plant-1), and productivity (t ha-1). The experimental design was a randomized complete block in a factorial 2 x 4 with two lettuce cultivars (Angelina and Amelia) and four planting spacings (15 x 15 cm, 20 x 20 cm, 25 x 25 cm and 30 x 30 cm) and three replicates. Increased planting density resulted in higher productivity, although with lower average mass of plants. The winter and summer crops were best suited for the cultivars, providing the highest productivity / O espaçamento e a época de plantio são fatores que podem influenciar no rendimento da alface. Assim, com o objetivo de avaliar a produção de alface americana em função do espaçamento e épocas de plantio, foram desenvolvidos quatro experimentos na Horta do Departamento de Ciências Vegetais da Universidade Federal Rural do Semi-árido (UFERSA), campus de Mossoró-RN. Cada experimento foi instalado em campo em uma época de plantio: 23/12/2014 (verão), 25/03/2015 (outono), 22/06/2015 (inverno) e 23/09/2015 (primavera). As características avaliadas foram altura (cm) e diâmetro de plantas (cm), número de folhas (planta-1), massa fresca e seca de plantas (g planta-1), e produtividade (t ha-1). O delineamento experimental utilizado foi o de blocos casualizados, no esquema fatorial 2 x 4, com duas cultivares de alface: (Angelina e Amélia) e quatro espaçamentos de plantio ( 15 x 15 cm, 20 x 20 cm, 25 x 25 cm e 30 x 30 cm), com três repetições. O aumento da densidade de plantio resultou em maior produtividade, embora com menor massa média de plantas. Os cultivos de inverno e verão foram os mais adequados para as cultivares, proporcionando as maiores produtividades

Made available in DSpace on 2016-08-12T19:18:53Z (GMT). No. of bitstreams: 1 ThiagoPS_DISSERT.pdf: 1141491 bytes, checksum: daa95022c775bd52ef89015fbc679f4f (MD5) Previous issue date: 2016-02-16 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / The spacing and planting date are factors that can influence the yield of lettuce. Aiming to evaluate the production of American lettuce in relation to spacing and planting season were conducted four experiments in the garden of Departamento de Ciências Vegetais da Universidade Federal Rural do Semi-árido (UFERSA), campus de Mossoró-RN. Each experiment was carried out in the field at a season of planting: 12/23/2014 (summer), 03/25/2015 (autumn), 06/22/2015 (winter) and 09/23/2015 (spring). The characteristics evaluated were height and plant diameter (cm), number of leaves (plant-1), fresh and dry weight of plants (g plant-1), and productivity (t ha-1). The experimental design was a randomized complete block in a factorial 2 x 4 with two lettuce cultivars (Angelina and Amelia) and four planting spacings (15 x 15 cm, 20 x 20 cm, 25 x 25 cm and 30 x 30 cm) and three replicates. Increased planting density resulted in higher productivity, although with lower average mass of plants. The winter and summer crops were best suited for the cultivars, providing the highest productivity / O espaçamento e a época de plantio são fatores que podem influenciar no rendimento da alface. Assim, com o objetivo de avaliar a produção de alface americana em função do espaçamento e épocas de plantio, foram desenvolvidos quatro experimentos na Horta do Departamento de Ciências Vegetais da Universidade Federal Rural do Semi-árido (UFERSA), campus de Mossoró-RN. Cada experimento foi instalado em campo em uma época de plantio: 23/12/2014 (verão), 25/03/2015 (outono), 22/06/2015 (inverno) e 23/09/2015 (primavera). As características avaliadas foram altura (cm) e diâmetro de plantas (cm), número de folhas (planta-1), massa fresca e seca de plantas (g planta-1), e produtividade (t ha-1). O delineamento experimental utilizado foi o de blocos casualizados, no esquema fatorial 2 x 4, com duas cultivares de alface: (Angelina e Amélia) e quatro espaçamentos de plantio ( 15 x 15 cm, 20 x 20 cm, 25 x 25 cm e 30 x 30 cm), com três repetições. O aumento da densidade de plantio resultou em maior produtividade, embora com menor massa média de plantas. Os cultivos de inverno e verão foram os mais adequados para as cultivares, proporcionando as maiores produtividades

As all materials used for exterior construction, cement-bonded particleboards also subject to climatic effects, such as frost, chemicals (eg. sulphates) or UV rays. Degradation of theese effects is slightly increased by organic base. Increased susceptibility can be eliminated by a effective coating, which reduces direct contact with aggresive influences on the board and provides longer durability. Theoratical part of this thesis analyzes different types of negatice influences and their effect on durability. Practical part contains selection of specific types of coating and assessment of their mechanical and aesthetic properties including spectrophotometric analysis of color change for each degradation effect.

No description available.

The following thesis project has been done in direct collaboration with Autokaross i Floby AB Rescue Vehicle Department, in Sweden.  The report contains the design development of a protective cover against weather conditions for the extendable ladder in a fire vehicle.   The aim of the report has been to develop a functional and low cost solution cover for the FEL on a fire truck, which is allocated on the roof, with the express intention of providing adequate access and protection against weather conditions in Nordic countries, so as to prevent premature deterioration of the FEL unit. The company has set the technical and conceptual boundaries, with the help of the two previous concepts currently used, the BMC and the ACP.   The initial requirements laid out by the company were expressed through a number of specific demands which can be categorized in two main points:   Cost: Designing a solution keeping in mind cost limits, assembly cost and time, and space optimization. This was done by taking into account the two existing solutions, particularly the BMC, which represents the lowest, cost wise and function wise. Therefore it was used as the basis on which to apply improvements, rather than trying to lower the high cost on the overqualified function of the ACP.   Function: Providing the adequate protection and access to the FEL. In this case, the problem was solved by establishing the correct degree of protection relevant to the Nordic weather conditions and FEL needs, and regarding the access, this was assured by fully automating the opening/closing process with the existing extraction operating system of the FEL.     The result of this report is a concept solution which meets the company’s demands, obtained by creative detailing, together with an analysis regarding possible considerations that could improve the creative detailing result in this report in the form of future work.     The report documents the process that has taken place in exploration, concept generation, concept evaluation, concept selection, and detailed CAD development. Each section shows the requirements and adjustments taken to fulfil the company’s needs.

Les systèmes de vision artificielle sont de plus en plus présents en contexte routier. Ils sont installés sur l'infrastructure, pour la gestion du trafic, ou placés à l'intérieur du véhicule, pour proposer des aides à la conduite. Dans les deux cas, les systèmes de vision artificielle visent à augmenter la sécurité et à optimiser les déplacements. Une revue bibliographique retrace les origines et le développement des algorithmes de vision artificielle en contexte routier. Elle permet de démontrer l'importance des descripteurs d'images dans la chaîne de traitement des algorithmes. Elle se poursuit par une revue des descripteurs d'images avec une nouvelle approche source de nombreuses analyses, en les considérant en parallèle des applications finales. En conclusion, la revue bibliographique permet de déterminer quels sont les descripteurs d'images les plus représentatifs en contexte routier. Plusieurs bases de données contenant des images et les données météorologiques associées (ex : pluie, brouillard) sont ensuite présentées. Ces bases de données sont innovantes car l'acquisition des images et la mesure des conditions météorologiques sont effectuées en même temps et au même endroit. De plus, des capteurs météorologiques calibrés sont utilisés. Chaque base de données contient différentes scènes (ex: cible noir et blanc, piéton) et divers types de conditions météorologiques (ex: pluie, brouillard, jour, nuit). Les bases de données contiennent des conditions météorologiques naturelles, reproduites artificiellement et simulées numériquement. Sept descripteurs d'images parmi les plus représentatifs du contexte routier ont ensuite été sélectionnés et leur robustesse en conditions de pluie évaluée. Les descripteurs d'images basés sur l'intensité des pixels ou les contours verticaux sont sensibles à la pluie. A l'inverse, le descripteur de Harris et les descripteurs qui combinent différentes orientations sont robustes pour des intensités de pluie de 0 à 30 mm/h. La robustesse des descripteurs d'images en conditions de pluie diminue lorsque l'intensité de pluie augmente. Finalement, les descripteurs les plus sensibles à la pluie peuvent potentiellement être utilisés pour des applications de détection de la pluie par caméra.Le comportement d'un descripteur d'images en conditions météorologiques dégradées n'est pas forcément relié à celui de la fonction finale associée. Pour cela, deux détecteurs de piéton ont été évalués en conditions météorologiques dégradées (pluie, brouillard, jour, nuit). La nuit et le brouillard sont les conditions qui ont l'impact le plus important sur la détection des piétons. La méthodologie développée et la base de données associée peuvent être utilisées à nouveau pour évaluer d'autres fonctions finales (ex: détection de véhicule, détection de signalisation verticale).En contexte routier, connaitre les conditions météorologiques locales en temps réel est essentiel pour répondre aux deux enjeux que sont l'amélioration de la sécurité et l'optimisation des déplacements. Actuellement, le seul moyen de mesurer ces conditions le long des réseaux est l'installation de stations météorologiques. Ces stations sont coûteuses et nécessitent une maintenance particulière. Cependant, de nombreuses caméras sont déjà présentes sur le bord des routes. Une nouvelle méthode de détection des conditions météorologiques utilisant les caméras de surveillance du trafic est donc proposée. Cette méthode utilise des descripteurs d'images et un réseau de neurones. Elle répond à un ensemble de contraintes clairement établies afin de pouvoir détecter l'ensemble des conditions météorologiques en temps réel, mais aussi de pourvoir proposer plusieurs niveaux d'intensité. La méthode proposée permet de détecter les conditions normales de jour, de nuit, la pluie et le brouillard. Après plusieurs phases d'optimisation, la méthode proposée obtient de meilleurs résultats que ceux obtenus dans la littérature, pour des algorithmes comparables. / Computer vision systems are increasingly being used on roads. They can be installed along infrastructure for traffic monitoring purposes. When mounted in vehicles, they perform driver assistance functions. In both cases, computer vision systems enhance road safety and streamline travel.A literature review starts by retracing the introduction and rollout of computer vision algorithms in road environments, and goes on to demonstrate the importance of image descriptors in the processing chains implemented in such algorithms. It continues with a review of image descriptors from a novel approach, considering them in parallel with final applications, which opens up numerous analytical angles. Finally the literature review makes it possible to assess which descriptors are the most representative in road environments.Several databases containing images and associated meteorological data (e.g. rain, fog) are then presented. These databases are completely original because image acquisition and weather condition measurement are at the same location and the same time. Moreover, calibrated meteorological sensors are used. Each database contains different scenes (e.g. black and white target, pedestrian) and different kind of weather (i.e. rain, fog, daytime, night-time). Databases contain digitally simulated, artificial and natural weather conditions.Seven of the most representative image descriptors in road context are then selected and their robustness in rainy conditions is evaluated. Image descriptors based on pixel intensity and those that use vertical edges are sensitive to rainy conditions. Conversely, the Harris feature and features that combine different edge orientations remain robust for rainfall rates ranging in 0 – 30 mm/h. The robustness of image features in rainy conditions decreases as the rainfall rate increases. Finally, the image descriptors most sensitive to rain have potential for use in a camera-based rain classification application.The image descriptor behaviour in adverse weather conditions is not necessarily related to the associated final function one. Thus, two pedestrian detectors were assessed in degraded weather conditions (rain, fog, daytime, night-time). Night-time and fog are the conditions that have the greatest impact on pedestrian detection. The methodology developed and associated database could be reused to assess others final functions (e.g. vehicle detection, traffic sign detection).In road environments, real-time knowledge of local weather conditions is an essential prerequisite for addressing the twin challenges of enhancing road safety and streamlining travel. Currently, the only mean of quantifying weather conditions along a road network requires the installation of meteorological stations. Such stations are costly and must be maintained; however, large numbers of cameras are already installed on the roadside. A new method that uses road traffic cameras to detect weather conditions has therefore been proposed. This method uses a combination of a neural network and image descriptors applied to image patches. It addresses a clearly defined set of constraints relating to the ability to operate in real-time and to classify the full spectrum of meteorological conditions and grades them according to their intensity. The method differentiates between normal daytime, rain, fog and normal night-time weather conditions. After several optimisation steps, the proposed method obtains better results than the ones reported in the literature for comparable algorithms.

[pt] As partículas finas (PM2.5) são um dos principais poluentes atmosféricos associados a problemas de saúde. Estas partículas penetram no sistema respiratório, carreando desde metais traços a substâncias orgânicas. Apesar disso, a legislação ambiental brasileira ainda não tem estabelecido padrões para este poluente. Entretanto, Agencia Ambiental dos Estados Unidos (US.EPA) já tem adotado limites para exposições de curto (25 (micro)g m-3/diário) e longo (15 (micro)g m-3/anual) prazo. Esta tese teve quatro principais objetivos: (1) investigar a relação das condições meteorológicas, sazonalidade e bacias aéreas sobre as concentrações de PM2.5 na atmosfera; (2) avaliar modelos de previsão de qualidade do ar inovadores para estimar concentração de PM2.5 em locais com diferentes fontes de emissão; (3) validar método de extração e determinação pseudototal de metais traços presentes no material particulado, com espectrômetro de emissão ótica por plasma indutivamente acoplado (ICP-OES) de acordo com critérios estabelecidos pelo INMETRO; (4) quantificar carbono orgânico e metais traços presentes no material particulado fino para entender melhor como a atmosfera do estado do Rio de Janeiro tem sido afetada, devido aos vários tipos de emissão e condições meteorológicas. Amostradores de grandes volumes coletaram todas as amostras de PM2.5. Estes amostradores foram operados por 24 h, a cada seis dias, em locais com diferentes fontes de emissão (industrial, veicular, poeira do solo, etc.), no estado do Rio de Janeiro. As amostras foram coletadas pelo Instituto Estadual do Ambiente (INEA), no período de janeiro/11 até dezembro/13. Variáveis meteorológicas próximas (d(menor que)2 km) aos pontos de monitoramento de PM2.5 também foram obtidas na mesma frequência e período de amostragem. Em relação a este estudo, quatro resultados podem ser destacados. O primeiro, as concentrações médias diárias de PM2.5 variaram de 1-65 (micro)g m-3, ultrapassando em alguns pontos os limites adotados pela US.EPA. Estes resultados mostraram que concentrações de PM2.5 no RJ não é influenciada, em expressão, pela sazonalidade. Além disso, foi observado que as bacias aéreas definidas no Rio de Janeiro não têm sido confirmadas, e os locais mostraram uma semelhança de comportamento em função da sua fonte de emissão. O segundo, a aplicação do modelo Holt-Winters para previsão de PM2.5 simulou melhor a zona industrial, com RMSE (raiz do erro quadrático médio) entre 5,8-14,9 (micro)g m-3. Em contrapartida, a rede neural artificial associada a variáveis meteorológicas estimou melhor os resultados das zonas urbanas e rurais, com RMSE entre 4,2-9,3 (micro)g m-3. O terceiro, o método de extração e determinação pseudototal de metais por ICP-OES atendeu aos critérios de validação estabelecidos pelo INMETRO. Além disso, mostrou-se ser equivalente ao método US.EPA IO-3.1. Finalmente, as concentrações de carbono orgânico solúvel em água variaram de 0,8-4,9 (micro)g m-3. Os principais metais determinados foram: Na (5,8-13,6 (micro)g m-3), Al (1,6-6,7 (micro)g m-3) e Zn (1,9-6,6 (micro)g m-3). Foi verificado também que os fenômenos meteorológicos de superfície aumentam em 30 por cento a explicação da variância do modelo receptor (PCA), quando adicionados aos dados das substâncias químicas analisadas do PM2.5. Contudo, é crucial a aplicação de ferramentas quimiométricas para ajudar na caracterização e estimava das concentrações de poluentes atmosféricos. / [en] Fine particulate matters (PM2.5) are one of the primary air pollutants associated with health problems. These particles penetrate in the respiratory system, loading from trace metals to organic compounds. Neverthelere4ss, the Brazilian environmental legislation has not yet established standards for this pollutant. However, the US Environmental Agency (US.EPA) has already adopted limits for short-term (25 (micro)g m-3/daily) and long-term (15 (micro)g m-3/annual) exposures. This thesis had four main objectives: (1) to investigate the relation of weather conditions, seasonality and air basins on PM2.5 concentrations in the atmosphere; (2) to evaluate innovative air quality forecast models to estimate PM2.5 concentration in sites with different emission sources; (3) to validate method to extract and pseudo total determinate trace metals present in the particulate matter by inductively coupled plasma optical emission spectrometer (ICP-OES) according to criteria established by INMETRO; (4) to quantify organic carbon and trace metals present in fine particulate matter to better understand how the Rio de Janeiro State (RJ) atmosphere has been affected due to the various types of emission and weather conditions. High volumes samplers PM2.5 collected all PM2.5 samples. These samplers were operated for 24 h, every six days, in places with different emission sources (industrial, vehicular, soil dust, et caetera), in the Rio de Janeiro State. The samples were collected by the State Environmental Institute (INEA) during the period from January/2011 still December/2013. Meteorological variables nearby (d(less than)2 km) to PM2.5 monitoring points were also obtained at the same frequency and sampling period. Regarding this study, four results can be highlighted. The first one, the PM2.5 dailly concentrations average ranged from 1-65 (micro)g m-3, exceeding in some sites the limits adopted by US.EPA. These results showed that PM2.5 concentrations in RJ is not influenced, in expression, by the seasonality. In addition, it was observed that the defined RJ air basins have not been confirmed, and the local showed a similar performance according to their emission sources. The second one, the application of the Holt-Winters model for PM2.5 forecast simulated best industrial zone, with RMSE (root mean square error) between 5.8 to 14.9 (micro)g m-3. On the others hand, the artificial neural network associated with meteorological variables estimated best results from urban and rural areas, with RMSE between 4.2 to 9.3 (micro)g m-3. The third one, the method to extract and determine pseudo total metals by ICP-OES followed the validation criteria established by INMETRO. Furthermore, it was shown to be equivalent to US.EPA IO-3.1 method. Finally, the water-soluble organic carbon concentrations ranged from 0.8 to 4.9 (micro)g m-3. The principal metals determined were: Na (5.8-13.6 (micro)g m-3), Al (1.6-6.7 (micro)g m-3) and Zn (1.9-6.6 (micro)g m-3). It was also found that the surface meteorological phenomena increase at 30 percent the explicated variance of the receiver model (PCA) when added to PM2.5 chemical analysis data. Therefore, it is crucial the application of chemometric tools to help in the characterization and estimated air pollutant concentrations.