Submitted by Johnny Rodrigues (johnnyrodrigues@ufcg.edu.br) on 2018-06-15T19:05:07Z No. of bitstreams: 1 ARMINDO BEZERRA LEÃO - DISSERTAÇÃO PPGEA 2006..pdf: 18036151 bytes, checksum: 3c7202f8b76aca90d252e37405bcede3 (MD5) / Made available in DSpace on 2018-06-15T19:05:07Z (GMT). No. of bitstreams: 1 ARMINDO BEZERRA LEÃO - DISSERTAÇÃO PPGEA 2006..pdf: 18036151 bytes, checksum: 3c7202f8b76aca90d252e37405bcede3 (MD5) Previous issue date: 2006-05 / O solo pode apresentar ampla variação dos seus atributos, estando esta relacionada a fatores ligados à sua formação ou manejo de práticas agrícolas, a exemplo da irrigação que tem, como efeito nocivo se mal empregada, problemas de salinidade. A estatística clássica considera que a variabilidade do solo ocorre de forma inteiramente aleatória; entretanto, vários estudos têm revelado que seus atributos apresentam grande dependência espacial necessitando, portanto, de uma análise geoestatística Neste trabalho se propôs como objetivo geral, estudar as variáveis que caracterizam a salinidade do solo através da estatística clássica e geoestatística e, como metas específicas avaliar a variabilidade espacial, a existência de dependência espacial entre amostras, a validação cruzada do método de interpolação utilizado (krigagen) e construir mapas de isolinhas das variáveis da área em estudo. O estudo foi conduzido no perímetro Irrigado Engenheiro Arcoverde, localizado no Município de Condado, PB, o qual se situa na Bacia do Alto Piranhas, cuja área experimental tinha 42 hectares e se constituía de solos Neossolos Flúvicos, onde se coletaram 53 amostras, nas profundidades de 0-20, 20-40 e 40-60 cm. A malha de amostragem foi irregular, os pontos de coleta se distanciaram de lOOm entre si. De início se utilizaram para avaliação da variabilidade espacial, métodos de estatística clássica a fim de se verificar medidas de posição, dispersão e geostatística, analisando-se os variogramas e se realizando, também, a validação cruzada como meio de conhecer os melhores ajustes para os modelos encontrados. Após a realização de interpolação por krigagem, construíram-se mapas de isolinhas revelando os problemas de salinidade e sodicidade, em que os resultados obtidos indicaram grande variabilidade justificando, assim, o uso da geoestatística, principalmente para os atributos CE e PST do solo, reconhecendo-se a geoestatística como uma poderosa ferramenta indicadora da dependência espacial entre amostras e a distância, a partir dos quais elas se tornam independentes. Os atributos estudados, indicadores de salinidade, apresentaram estrutura de dependência espacial, o que permitiu o seu mapeamento. A validação cruzada demonstrou forte relação entre os valores observados e os estimados, comprovando que a Krigagem ordinária é um bom interpolador. A identificação de compartimentos como sub-regiões da paisagem na área de estudo, mostrou-se eficiente na caracterização da salinidade do solo. A técnica de interpolação por krigagem permitiu verificar que a salinidade do solo aumentou em profundidade, além de distribuição diferenciada dos sais na área, com maiores teores em sub-região específica. / The soil atributes may present a great variability, due to formation and management factores, such as an inadequate irrigation that coutj produce salinity problems. The classical statistics consider that soil variability occurs in a randomized form, however several studies have shown that the attributes present an strong spatial dependence, nedding thus geoestatical analises. The objective of this work was to study the variables that characterize the soil salinity by classical statistics and geostatistics and also to evaluate the spatial variability, the spatial dependence amongst samples, to verify the crossed validation of the interpolation method (Kriging) and to build maps of isolines of the ali variables. The present work was conducted at the Engenheiro Arcoverde irrigated perimeter located at Condado, Paraíba, aiming to measure the soil parameters that define the soil salinity, to study the spatial variability of them throughout geoestatical analyses, to study the liability of the Kriging interpolation method and to construct salinity and sodicity maps, furnishing subsides for an adequate soil management which could allows their reclamation. For this, 159 soil samples were collected at 0-20, 20-40 and 40-60 cm depth intervals, on an irregular grid with the sampling points separated at approximately 100 m. To evaluate the spatial variability initially it was used classical statistics to verify position and dispersion measures and afterwards geoestatistics to analise the semivariograms, crossed validation and to obtain the best adjusted models. After interpolation by kriging, isoline maps were constructed showing the salinity and sodicity situation of the area. The results obtained allowed to observe a great spatial variability of eletrical conductivity and exchange sodium percentage. The pH variable showed a low spatial variability. The spatial dependence of the studied attributes permitted their mapping using kriging techniques. The crossed validation offered an excellent precision to estimate data. The compartments identification, sub-regions of the studied area, was excellent to characterize the soil salinity. Small variations on the soil relief, on the soil formation and management conditioned the variability found for the studied attributes. Finally, the geoestatistics showed the possibility to obtain a greater volume of information from a small volume of data, which means efficience, saving of time and resource

La variabilité spatiale des formations géologiques rend difficile la détermination des paramètres géotechniques nécessaires pour l'évaluation des aléas naturels (sismiques et gravitaires). Les méthodes d'imagerie géophysique, non-destructives et rapides, sont de plus en plus utilisées pour la reconnaissance de telles structures hétérogènes. Une campagne d'essais géophysiques et géotechniques a été réalisée dans la plaine alluviale de Beyrouth (Liban), ville soumise à un fort risque sismique, en vue de caractériser la variabilité des couches alluviales. Les résultats combinés ont permis de caractériser la structure 3D du site et de détecter la présence d'une couche d'argile molle, peu profonde et d'épaisseur variable. Cette couche de faible compacité, qui a rendu complexe l'interprétation des courbes de dispersion des ondes de surface, a une influence importante sur la réponse sismique du site. Les incertitudes reliées à la variabilité spatiale des propriétés géotechnique (N60) et géophysiques (Vs, ρ) ont pu être quantifiées au sein des couches rencontrées et les fonctions de distribution de ces paramètres ont été déterminées dans chaque couche à partir de ces essais, à la fois verticalement et horizontalement. Les valeurs de distance d'autocorrélation verticale (Vs, N60) et horizontale (ρ) obtenues ainsi que les valeurs de coefficient de variation se situent dans la gamme de valeurs trouvées dans la littérature. La réponse dynamique (amplification spectrale) de la plaine alluviale de Beyrouth a été simulée avec des modèles probabilistes unidimensionnels, et l'effet des trois paramètres statistiques (loi d'autocorrélation, distance d'autocorrélation et coefficient de variation) décrivant les variabilités des propriétés élastiques du sol (Vs) a été quantifié. Pour obtenir des réponses sismiques réalistes, un critère de sélection des profils Vs générés de façon probabiliste a été introduit afin de ne retenir que les profils compatibles (dans une gamme d'incertitude) avec la courbe de dispersion établie. Les modélisations probabilistes ont montré des différences significatives par rapport aux modélisations déterministes. Le principal paramètre probabiliste contrôlant l'amplification spectrale est le coefficient de variation, suivi de la distance d'autocorrélation, alors que le type de loi a peu d'influence. Enfin, nous avons vu que l'activité humaine peut avoir une influence significative sur l'application des méthodes géophysiques en site urbain. La compréhension d'un milieu complexe dans ce contexte nécessite de combiner toutes les méthodes géotechniques et géophysiques d'investigation afin d'obtenir un modèle robuste 2D/3D de la structure du sol / The spatial variability of geological formations makes it difficult to determine the geotechnical parameters necessary for the evaluation of natural hazards (seismic and gravity). The geophysical imaging methods, non-destructive and fast, are now increasingly used for heterogeneous structures of sub-surface recognition. Geophysical and geotechnical tests were carried out in the alluvial plain of Beirut (Lebanon), city with high seismic risk, to characterize the variability in the alluvial layers. Analyses of these tests were used to characterize the 3D structure of the site and to detect the presence of a shallow soft clay layer of variable thickness. This layer of low compactness, which made the interpretation of dispersion curves of surface waves complex, could be of prime importance for seismic response of the site. Using all the collected data, the uncertainties related to the spatial variability of geotechnical (N60) and geophysical (Vs, ρ) properties of soil were quantified in the layers encountered and the distribution functions of these parameters were determined in each layer, in both directions (vertical and horizontal). The autocorrelation distance in the vertical (Vs, N60) and horizontal (ρ) directions and the coefficient of variation are within the range of values founded in the literature. The dynamic response (spectral amplification) of the alluvial plain of Beirut was modeled by one dimensional probabilistic model and we quantified the effect of the three statistical parameters (autocorrelation function, autocorrelation distance and coefficient of variation) describing the elastic variability properties of soil (Vs). To obtain realistic seismic responses, we proposed a probabilistic (Vs) profile selection criteria in order to retain only compatible profiles (in a range of uncertainty) with the obtained dispersion curve. Probabilistic modeling showed significant differences from the deterministic modeling. It appeared that the main factor controlling probabilistic spectral amplification is the coefficient of variation (COVVs) followed by the autocorrelation distance, while the type of autocorrelation function has little influence. Finally, Human activity was also found to have a significant influence on the application of geophysical prospecting at this urban site. This case illustrates the need of combining investigation methods in order to understand the geophysical measurements in a complex medium and to reach a robust 2D/3D model.

Le terme variabilité spatiale des mouvements sismiques (SVGM en anglais pour Spatial Variability of Ground Motion) désigne les différences entre deux mesures du mouvement du sol effectuées à différents endroits, généralement en surface. La modélisation de SVGM ainsi que son effet sur la réponse dynamique des barrages est nécessaire pour l'intégration du phénomène dans les codes parasismiques. L'étude actuelle présente une mesure et une enquête approfondie sur SVGM à l'interface barrage voûte - fondation rocher. Des mesures in situ sont utilisées pour sa quantification et des simulations numériques pour la compréhension plus approfondie des phénomènes physiques qui contribuent à SVGM notamment à l'interface, c-à-d la topographie de la voûte et l'interaction sol-structure. Les données in situ provient d'une campagne sismologique qui a eu lieu sur et autour le barrage voûte du Saint Guérin pendant six mois. Le sous-ensemble d'événements consiste des événements de faible à moyenne magnitude, locaux et régionaux. Ainsi, des analyses linéaires sont permises. Tout d'abord, l'analyse dynamique du barrage voûte est réalisée; les fréquences de vibration, le coefficient d'amortissement et l'amplification de crête sont estimées profitant des mesures continues de bruit ambiant et des enregistrements sismiques. Ensuite, le SVGM est quantifiée au moyen de la phase et de la variabilité d'amplitude en utilisant des estimations de cohérence et de l'écart type de la différence des amplitudes des spectres de Fourier respectivement. Forte variabilité est observée à la fois en phase et en amplitude à l'interface de barrage-fondation rocher. Une fois que les estimateurs de la variabilité sont obtenus à partir des données, les modèles paramétriques existants sont comparés avec eux. Accentuation est mis sur deux observations: 1) les mouvements sismiques au champ libre semblent être légèrement moins variable par rapport aux mouvements à l'interface barrage-fondation rocher et 2) à l'interface barrage-fondation rocher, il y a une variabilité plus forte autour des fréquences de vibration du barrage. Ces observations suggèrent que la présence de la structure ainsi que la topographie du canyon augmentent SVGM. Cette hausse semble cependant être faible étant donné que les observations sont montés par des modèles paramétriques satisfaisants basés sur des données provenant de réseaux sismiques plates (sans topographie et structure). Des simulations numériques dans le code SPECFEM3D, basé sur les éléments spectraux, sont utilisées pour étudier plus profondément les observations in situ par le découplage des différentes causes de SVGM et évaluer l'impact de chacune. Une étude paramétrique en utilisant une topographie du canyon simplifié tente d'identifier l'effet de la topographie du canyon local sur SVGM tandis qu'un modèle géométrique précis du barrage voûte à Saint Guérin et sa topographie du canyon nous donne une idée plus précise sur l'impact de l'interaction barrage-fondation rocher sur SVGM. Les résultats de cette recherche devraient contribuer à l'amélioration de notre compréhension de SVGM à l'interface barrage-fondation rocher et de proposer des modèles de variabilité utilisés dans la conception de barrages voûtes. / Spatial variability of seismic ground motions (SVGM) denotes the differences between two time histories of the ground motion recorded at different locations, generally at the ground surface. The modeling of SVGM and the understanding of its influence on the dam's response are necessary so as design codes start to incorporate its effects in their provisions. This study presents a measure and a profound investigation of SVGM at the dam-foundation rock interface of an arch dam. In-situ measurements are used to quantify SVGM and numerical simulations to deeper understand the particular physical phenomena that contribute to SVGM at the interface, i.e. local canyon topography and rock-structure interaction. The in-situ data comes from a seismological experimental campaign that has taken place on and around Saint Guérin arch dam over the period of six months. The campaign was held in the framework of the present thesis. The subset of events consists of low to moderate magnitude local and regional earthquakes. Thus, analysis is allowed in the linear range. Firstly, dynamic analysis of the arch dam is conducted; the frequencies of vibration, the damping coefficient and the crest amplification are estimated based on ambient noise and seismic records. Then, SVGM is quantified by means of phase and amplitude variability using coherency estimates and standard deviation of difference of Fourier amplitudes respectively. High variability is observed both in phase and amplitude at the dam-foundation rock interface. Once the estimators of variability are obtained from the data, parametric models are fitted to them. Focus is given on two observations : 1) the ground motions in the free field appear to be slightly less variable with respect to the motions at the dam-foundation rock interface and 2) at the dam-foundation rock interface, there is higher variability around the frequencies of vibration of the dam. These observations suggest that the presence of the structure along with the canyon topography increase SVGM. This increase though seems to be small given that the observations are satisfactory fitted by parametric models based on data coming from flat seismic arrays. Numerical simulations in the SPECFEM3D code, based on the spectral element method are used to deeper investigate the in-situ observations by decoupling the various causes of SVGM and evaluating the impact of each one. A parametric study using a simplified canyon topography attempts to identify the effect of local canyon topography on SVGM while a geometrically accurate model of the Saint Guérin arch dam and its canyon topography gives us a better insight on the dam-foundation rock interaction impact on SVGM. Although both features are found to increase SVGM, their impact remains secondary. The findings of the present research are expected to contribute in enhancing our understanding of SVGM at the dam-foundation rock interface and proposing variability models used in arch dams' design.

Made available in DSpace on 2016-08-31T13:24:13Z (GMT). No. of bitstreams: 1 CarlosGFN_DISSERT.pdf: 1398522 bytes, checksum: 652d67d0830366c62f6d4ccfcedab473 (MD5) Previous issue date: 2008-12-10 / Rice crop area in Apodi River Valley, RN, Brazil, had a significant increase due to construction of Santa Cruz dam, which improved water availability downstream of the reservoir. Rice crop has been adversely affected by problems like disorganization of farmers, inefficient commercialization, product without added value, indiscriminate use of chemical inputs, loss of yield, decrease in plant vigor, and lower tillering. In this context, this work had as objectives to study causes of yield loss in irrigated red rice crop at Apodi River Valley; specifically, to study the effects of irrigation water used in that region and of soil salinity on red rice crop yield, besides to study spatial variability of physical and chemical soil characteristics of soil irrigated and cropped with red rice. The work was carried out in three small farms, where a georeferenced sampling grid was delimited with regular spacing, in which points were taken samples of soil and plants to determinate soil physical and chemical characteristics and, in two areas, yield components of red rice, allowing the use of geostatistics to study spatial variability. Rice yield and its components showed spatial dependence, which allowed the drawing of isovalue maps of the studied areas. Soil physical and chemical characteristics also showed spatial variability and correlated with rice yield components. The two studied areas showed different behavior in relation to spatial dependence and correlations. In the area of Francisco rice yield showed correlations mainly with distance to water inlet and with calcium to magnesium ratio, while in the area of Márcio the better correlation was with potassium / A cultura do arroz irrigado no vale do rio Apodi, RN, teve um aumento significativo na área plantada devido à construção da barragem de Santa Cruz, que melhorou a disponibilidade hídrica à jusante deste reservatório. Esta cultura vem sofrendo uma série de problemas, passando desde a desorganização dos plantadores, comercialização deficiente, inexistência de valor agregado ao produto, uso indiscriminado de insumos químicos, perda da produtividade, diminuição do vigor das plantas e menor perfilhamento. Neste sentido, este trabalho teve como objetivo estudar as causas das perdas de produtividade na cultura arroz vermelho irrigado no vale do rio Apodi; em particular estudar os efeitos da água de irrigação utilizada e da salinização do solo sobre a produtividade da cultura e estudar a variabilidade espacial das propriedades físicas e químicas do solo, irrigado e cultivado com arroz vermelho. O trabalho foi realizado em três pequenas propriedades, em cada uma das quais foi delimitada uma malha de pontos de amostragem georeferenciados com espaçamento regular e, nestes pontos, foram realizadas as coletas de solo e de planta para determinar atributos químicos e físicos do solo e, em duas delas, os componentes de produção do arroz vermelho, permitindo assim o uso da geoestatística para estudar a variabilidade espacial dos atributos. A produtividade do arroz e seus componentes apresentaram dependência espacial sendo possível a construção de mapas de isolinhas das áreas em estudo; constatou-se também variabilidade dos atributos físicos e químicos dos solos estudados e a existência de correlações entre os componentes de produção e alguns destes atributos. As duas áreas em que foram estudados os componentes de produção apresentaram comportamento diferenciado quanto à dependência espacial e as correlações, sendo que na área de Francisco a produtividade apresentou correlações principalmente com a distância da entrada de água na área e com a relação cálcio:magnésio, enquanto que na área de Márcio as correlações mais evidenciadas foram com potássio

Les méthodes de contrôle non destructif (CND) sont essentielles pour estimer les propriétés du béton (mécaniques ou physiques) et leur variabilité spatiale. Elles constituent également un outil pertinent pour réduire le budget d'auscultation d'un ouvrage d'art. La démarche proposée est incluse dans un projet ANR (EvaDéOS) dont l'objectif est d'optimiser le suivi des ouvrages de génie civil en mettant en œuvre une maintenance préventive afin de réduire les coûts. Dans le cas du travail de thèse réalisé, pour caractériser au mieux une propriété particulière du béton (ex : résistance mécanique, porosité, degré de Saturation, etc.), avec des méthodes ND sensibles aux mêmes propriétés, il est impératif de développer des outils objectifs permettant de rationaliser une campagne d'essais sur les ouvrages en béton armé. Dans ce but, premièrement, il est proposé un outil d'échantillonnage spatial optimal pour réduire le nombre de points d'auscultation. L'algorithme le plus couramment employé est le recuit simulé spatial (RSS). Cette procédure est régulièrement utilisée dans des applications géostatistiques, et dans d'autres domaines, mais elle est pour l'instant quasiment inexploitée pour des structures de génie civil. Dans le travail de thèse, une optimisation de la méthode d'optimisation de l'échantillonnage spatial (MOES) originale inspirée du RSS et fondée sur la corrélation spatiale a été développée et testée dans le cas d'essais sur site avec deux fonctions objectifs complémentaires : l'erreur de prédiction moyenne et l'erreur sur l'estimation de la variabilité. Cette méthode est décomposée en trois parties. Tout d'abord, la corrélation spatiale des mesures ND est modélisée par un variogramme. Ensuite, la relation entre le nombre de mesures organisées dans une grille régulière et la fonction objectif est déterminée en utilisant une méthode d'interpolation spatiale appelée krigeage. Enfin, on utilise l'algorithme MOES pour minimiser la fonction objectif en changeant les positions d'un nombre réduit de mesures ND et pour obtenir à la fin une grille irrégulière optimale. Des essais destructifs (ED) sont nécessaires pour corroborer les informations obtenues par les mesures ND. En raison du coût ainsi que des dégâts possibles sur la structure, un plan d'échantillonnage optimal afin de prélever un nombre limité de carottes est important. Pour ce faire, une procédure utilisant la fusion des données fondée sur la théorie des possibilités et développée antérieurement, permet d'estimer les propriétés du béton à partir des ND. Par le biais d'un recalage nécessitant des ED réalisés sur carottes, elle est étalonnée. En sachant qu'il y a une incertitude sur le résultat des ED réalisés sur les carottes, il est proposé de prendre en compte cette incertitude et de la propager au travers du recalage sur les résultats des données fusionnées. En propageant ces incertitudes, on obtient des valeurs fusionnées moyennes par point avec un écart-type. On peut donc proposer une méthodologie de positionnement et de minimisation du nombre des carottes nécessaire pour ausculter une structure par deux méthodes : la première, en utilisant le MOES pour les résultats des propriétés sortis de la fusion dans chaque point de mesure et la seconde par la minimisation de l'écart-type moyen sur la totalité des points fusionnés, obtenu après la propagation des incertitudes des ED. Pour finir, afin de proposer une alternative à la théorie des possibilités, les réseaux de neurones sont également testés comme méthodes alternatives pour leur pertinence et leur simplicité d'utilisation. / Non-destructive testing methods (NDT) are essential for estimating concrete properties (mechanical or physical) and their spatial variability. They also constitute an useful tool to reduce the budget auscultation of a structure. The proposed approach is included in an ANR project (EvaDéOS) whose objective is to optimize the monitoring of civil engineering structures by implementing preventive maintenance to reduce diagnosis costs. In this thesis, the objective was to characterize at best a peculiar property of concrete (e.g. mechanical strength, porosity, degree of saturation, etc.), with technical ND sensitive to the same properties. For this aim, it is imperative to develop objective tools that allow to rationalize a test campaign on reinforced concrete structures. For this purpose, first, it is proposed an optimal spatial sampling tool to reduce the number of auscultation points. The most commonly used algorithm is the spatial simulated annealing (SSA). This procedure is regularly used in geostatistical applications, and in other areas, but yet almost unexploited for civil engineering structures. In the thesis work, an original optimizing spatial sampling method (OSSM) inspired in the SSA and based on the spatial correlation was developed and tested in the case of on-site auscultation with two complementary fitness functions: mean prediction error and the error on the estimation of the global variability. This method is divided into three parts. First, the spatial correlation of ND measurements is modeled by a variogram. Then, the relationship between the number of measurements organized in a regular grid and the objective function is determined using a spatial interpolation method called kriging. Finally, the OSSM algorithm is used to minimize the objective function by changing the positions of a smaller number of ND measurements and for obtaining at the end an optimal irregular grid. Destructive testing (DT) are needed to corroborate the information obtained by the ND measurements. Because of the cost and possible damage to the structure, an optimal sampling plan to collect a limited number of cores is important. For this aim, a procedure using data fusion based on the theory of possibilities and previously developed is used to estimate the properties of concrete from the ND. Through a readjustment bias requiring DTs performed on carrots, it is calibrated. Knowing that there is uncertainty about the results of DTs performed on carrots, it is proposed to take into account this uncertainty and propagate it through the calibration on the results of the fused data. By propagating this uncertainty, it is obtained mean fused values with a standard deviation. One can thus provide a methodology for positioning and minimizing the number of cores required to auscultate a structure by two methods: first, using the OSSM for the results of fused properties values in each measuring point and the second by the minimization of the average standard deviation over all of the fused points obtained after the propagation of DTs uncertainties. Finally, in order to propose an alternative to the possibility theory, neural networks are also tested as alternative methods for their relevance and usability.

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / Hydrossedimentological monitoring and modeling have been used as important tools to evaluate and simulate the hydrosedimentological processes in rural watersheds, in order to effectively propose conservation practices in environmentally sensitive locations. The objective of this research was to evaluate the performance of a physically based hydrological model (LISEM - Limburg Soil Erosion Model) in quantifying runoff and erosion in a rural catchment with high spatial variability (horizontally and vertically) physical and hydrological characteristics of the soil. The catchment has an area of 1.19 km2 and is situated in the northeastern region of the Rio Grande do Sul state, Brazil. Soils are characterized by reduction of water flow in the vertical soil profile either by the small thickness (Entisols and Inceptisols) or textural gradient between horizons (Ultisols) - and are associated with variations of relief, which is composed of soft hills in the top section and mountainous in the bottom section of the catchment. The predominant land use is tobacco farming (Nicotiana tabacum L.), where the surface layer of the soil is tilled to form ridges. In the first stage of the study, five slopes of the basin used for tobacco cultivation were sampled to characterize the physical and hydraulic properties at different points in the relief (top, middle slope and lowland) and four soil layers (0.00 to 0.04, from 0.20 to 0.24, from 0.40 to 0.44 and from 0.60 to 0,64 m). Field trials were also conducted to determine the infiltration rate on the slopes, and equations were also established to estimate the saturated hydraulic conductivity in each layer of soil sampled. In the second step, the LISEM model was calibrated to represent the hydrograph and sedimentograph of 20 rainfall events monitored in the river mouth from 2009 to 2012. The results of the first stage show that there is horizontal and vertical variability of physical and hydraulic properties on the slopes, being that the hillsides have a higher saturated hydraulic conductivity due to its coarser texture. Both the hydraulic conductivity and the infiltration rate were effective in identifying the horizontal variability of water flow on the slopes. The hydraulic conductivity can be estimated with good accuracy when variables from subsoil layers, for example, the total sand content, are used. The results of the second stage of the study revealed that the LISEM had a good performance in modeling the hydrograph. However, it was not possible to represent the sedimentograph, and there was an overestimate in sediment production. The model s equations related to erosion do not represent the dynamics that occur in this catchment. / O monitoramento e a modelagem hidrossedimentológica têm sido utilizados como ferramentas importantes para avaliar e simular os processos hidrossedimentológicos em bacias hidrográficas rurais, com o intuito de propor, de forma eficaz, práticas conservacionistas em locais ambientalmente frágeis. O objetivo desta pesquisa foi avaliar o desempenho de um modelo hidrológico de base física (LISEM Limburg Soil Erosion Model) em quantificar o escoamento superficial e o processo erosivo em uma bacia hidrográfica rural com grande variabilidade espacial (no sentido horizontal e vertical) das características físico-hídricas de solo. A bacia hidrográfica possui 1,19 km2 e está situada na região nordeste do estado do Rio Grande do Sul, Brasil. Os solos são caracterizados pela redução do fluxo de água na direção vertical do perfil de solo seja pela pequena espessura (Neossolos e Cambissolos) ou pelo gradiente textural entre horizontes (Argissolos) e estão associados às variações do relevo, que é ondulado na fração superior e montanhoso na fração inferior da bacia. O uso do solo predominante é o cultivo do tabaco (Nicotiana tabacum L.), em que a camada superficial do solo é revolvida para a construção de camalhões. Na primeira etapa do estudo, cinco encostas da bacia utilizadas para o cultivo do tabaco foram amostradas para caracterização das propriedades físico-hídricas em diferentes pontos do relevo (topo, meia encosta e várzea) e em quatro camadas de solo (0,00 a 0,04, 0,20 a 0,24, 0,40 a 0,44 e 0,60 a 0,64 m). Também foram realizados ensaios de campo para determinação da taxa de infiltração básica nas encostas e, ainda, foram construídas equações para estimativa da condutividade hidráulica saturada em cada camada de solo amostrada. Na segunda etapa, o modelo LISEM foi calibrado para representar o hidrograma e o sedimentograma de 20 eventos monitorados no exutório da bacia entre no período de 2009 a 2012. Os resultados da primeira etapa comprovam que há variabilidade horizontal e vertical das propriedades físico-hídricas nas encostas, sendo que a meia encosta apresenta maior condutividade hidráulica saturada devido à textura mais grosseira neste local. Tanto a condutividade hidráulica quanto a taxa de infiltração básica foram eficazes em identificar a variabilidade horizontal do fluxo de água nas encostas. A condutividade hidráulica saturada pode ser estimada com boa precisão quando são usadas variáveis das camadas subsuperficiais do solo como, por exemplo, o teor de areia total. Os resultados da segunda etapa do estudo revelaram que o LISEM apresentou bom desempenho na modelagem do hidrograma. No entanto, não foi possível a representação do sedimentograma, sendo que houve superestimativa da produção de sedimentos. As equações do modelo relacionadas com o processo erosivo não representam a dinâmica que ocorre nesta bacia hidrográfica.

Made available in DSpace on 2014-06-11T19:33:40Z (GMT). No. of bitstreams: 0 Previous issue date: 2007-12-14Bitstream added on 2014-06-13T20:05:56Z : No. of bitstreams: 1 sanchez_rb_dr_jabo.pdf: 1897729 bytes, checksum: 456c8e2c0db50350e6d784e568134d78 (MD5) / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) / Funep / O objetivo deste trabalho foi a aplicação de métodos de agricultura de precisão e modelos matemáticos em um argissolo com variações na forma do relevo sob cultivo de cana-de-açúcar na região de Catanduva (SP). A área estudada apresentou duas diferentes pedoformas (uma côncava, C+P+, e outra convexa, C-P-). Numa área total de 200 ha, instalou-se uma malha contendo 623 pontos espaçados por uma distância de 50 metros a fim de analisar a variabilidade espacial dos atributos granulométricos e químicos do solo, e a qualidade da matéria-prima (ART – açúcares redutores totais). Nessa mesma área, foi confeccionada outra malha contendo 188 pontos espaçados por uma distância de 150 metros para análise espacial da espessura do horizonte A + E. Amostras de solos foram coletadas em todos os pontos da malha, na profundidade 0,0-0,2 metro, e análises granulométricas, químicas e de qualidade foram feitas em laboratórios. Calculou-se a estatística descritiva, e a dependência espacial entre as amostras foi determinada utilizando-se semivariogramas. Mapas de krigagem foram confeccionados para os atributos estudados. Os resultados mostraram que a utilização da agricultura de precisão e modelo matemático é a forma mais eficaz na redução de custos para aplicação de adubos. Nessas condições, a pedoforma côncava necessitou de 12% a menos de fertilizantes quando comparada com a pedoforma convexa. Esses resultados corroboram a maior fertilidade da área côncava, que também possui menor taxa de erosão e maior espessura do horizonte A + E. Ressalta-se que a modelagem matemática apresenta índices para a redução de custos. Com isso, o uso de técnicas de agricultura de precisão poderá, ao longo dos anos, trazer ganhos significativos nos sistemas de produção, pois este identifica zonas específicas de manejo. / The aim of this work was to apply precision agriculture and mathematical models in order to reduce the fertilization cost of a red-yellow Argissol cultivated with sugar cane in different pedoforms (concave, C + P +, and convex, CP-) located in the region of Catanduva (SP) . A grid having 623 points was installed in an area of 200 ha, whith points spaced by 50 meters, in order to analyze the spatial variability of the texture parameters, soil fertility and amount of raw material (TRS-total reducing sugars). In the same area another grid having 188 points was installed, with minumum distance of 150 meters, in order to provide the spatial analysis of the A+E soil horizon thicknesses. Soil samples were collected in all grid points in the depth of 0,0-0,2 meters. They were submitted to texture, fertility and quality analyzes in a laboratory. Descriptive statistics was calculated and spatial dependence of samples determined by using semivariograms. Maps of kriging were made for all the studied attributes. Results showed that the use of precision agriculture coupled with mathematical modelling is the most effective way to reduce costs for fertilizers application. The concave pedoform needed 12% less fertilizer when compared to the convex pedoform. These results are in accordance with the higher fertility of concave pedoform that has also lower erosion rates and higher horizon thickness. Another result obtained from the mathematical modeling is the derivation of specific indexes for cost reduction. We believe that the application of precision agriculture over the next years could bring significant gains in production, as this technique identifies areas demanding specific management.

Le Système Nord du Courant de Humboldt (SNCH) est le lieu d’une forte activité biologique due à un upwelling côtier intense. Il abrite l’une des plus grandes populations de l’anchois du Pérou soumis à la plus grande pêcherie monospécifique au monde. Le SNCH héberge aussi de grandes et variables, populations d’oiseaux, composées de trois espèces sympatriques productrices de guano : le cormoran guanay (Phalacrocorax bougainvillii), le fou péruvien (Sula variegata) et le pélican péruvien (Pelecanis thagus), qui se nourrissent principalement d’anchois. Dans ce travail, nous examinons les fluctuations de ces trois populations d’oiseaux marins, en nous concentrant sur le cycle saisonnier de leur reproduction, pour aborder les questions suivantes : Dans quelle mesure les saisonnalités de reproduction diffèrent elles entre espèces ? Dans quelle mesure sont-elles plastiques dans le temps et dans l’espace ? Qu’est ce qui, des conditions environnementales et des activités anthropogéniques affecte le plus la reproduction des oiseaux marins ? Nous abordons ces questions en utilisant des données de présence de reproducteurs (1) dans 30 sites péruviens répartis entre 06°S-18°S (2003-2014) ; et (2) dans un site, pendant trois périodes (1952-1968, 1972-1989, 2003-2014). Nous utilisons des covariables environnementales décrivant les conditions océanographiques, l’abondance, l’accessibilité et la condition des proies, ainsi que des covariables décrivant la pression de pêche. Nous utilisons des modèles d’occupation multi-saisonniers pour caractériser la saisonnalité de la reproduction et la relier aux covariables environnementales. Nous utilisons aussi des analyses en composantes principales fonctionnelles pour classifier les différences de saisonnalité entre sites, et des forêts aléatoires de régression pour analyser la contribution relative des covariables à la variabilité de la saisonnalité de reproduction.Nous mettons en évidence qu’en moyenne, la reproduction démarre au cours de l’hiver austral / début de printemps et prend fin en été / début d’automne, ce patron étant plus marqué chez les fous et pélicans que chez les cormorans. La reproduction est calée dans le temps de telle sorte à ce que les jeunes prennent leur indépendance lorsque les conditions de production primaire, d’abondance et d’accessibilité des proies sont maximales. Ce patron est unique en comparaison avec les autres écosystèmes d’upwelling et peut être expliqué par les fortes abondances absolues de proies disponibles tout au long de l’année dans le SNCH.La saisonnalité de reproduction diffère entre les sites de nidification. Les oiseaux se reproduisent plus tôt et avec de plus fortes probabilités lorsque les colonies sont plus grandes, situées sur des îles à moins de 20 km des côtes, aux plus basses latitudes, et présentant une production primaire plus élevée. Alors, la saisonnalité de la reproduction est davantage influencée par les conditions environnementales locales que par les gradients environnementaux de grande échelle.Les oiseaux marins adaptent aussi la saisonnalité de leur reproduction aux changements drastiques causés dans l’écosystème par les changements de régime. Les cormorans font preuve de la plus grande plasticité, en modulant la date te l’amplitude de la saisonnalité de leur reproduction, cela est probablement permis par leur plus grande flexibilité de fourragement. Les dates et amplitudes fixes observées chez les fous peuvent être liées aux spécificités de leur stratégie de fourragement et à des changements de proies lorsque le stock d’anchois est bas. Les différences spécifiques dans les adaptations de la saisonnalité de reproduction permettent aux oiseaux de profiter différemment des conditions locales de proies, et de faire face aux changements de régime avec des stratégies différentes. Une méthodologie de capture-recapture en parallèle des comptages mensuels est proposée pour élargir les horizons de l’évaluation des dynamiques d’une population. / The Northern Humboldt Current System (NHCS) is a place of a high biological activity due to an intense coastal upwelling. It supports one of the biggest forage fish populations, the Peruvian anchovy, and the world-leading monospecific fishery in terms of landings. The NHCS also hosts large, although variable, seabird populations, composed among others by three guano-producing sympatric species: the Guanay cormorant (Phalacrocorax bougainvillii), the Peruvian booby (Sula variegata) and the Peruvian pelican (Pelecanus thagus), which all feed primarily on anchovy.In this work we reviewed the fluctuations of these three seabird populations, focusing on the seasonal cycle of their breeding, to address the following questions: How different are the seasonality of reproduction among species? To what extent may they be plastic in space and time? What from the natural environment and the anthropogenic activities impact more the breeding of seabirds?We addressed these questions using the monthly occupancy of breeders (1) in >30 Peruvian sites between 06°S and 18°S and from 2003 to 2014; and (2) in one site during three decadal periods (1952-1968, 1972-1989, 2003-2014). We also used environmental covariates from satellite and at-sea monitoring such as oceanographic conditions, prey abundance, availability and body conditions, and fisheries pressure covariates. We used multiseason occupancy models to characterize the seasonality of breeding and relate it with environmental covariates. We also used functional principal component analysis for classifying the differences in seasonality among sites, and random forest regression for analyzing the relative contribution of covariates in the variability of the seasonal breeding.We found that in average seasonal breeding mainly started during the austral winter/ early spring and ended in summer/ early fall, this pattern being stronger in boobies and pelicans than in cormorants. The breeding onset of seabirds is timed so that fledging independence occurs when primary production, prey conditions and availability are maximized. This pattern is unique compared with other upwelling ecosystems and could be explained by the year-round high abundances of anchovy in the NHCS.The average seasonal breeding may differ among nesting sites. Seabirds breed earlier and are more persistent when colonies are larger, located on islands, within the first 20km of the coast, at lower latitudes and with greater primary production conditions. These results suggest that in the NHCS, the seasonality of breeding is more influenced by local environmental conditions than by large-scale environmental gradients. These results provides critical information to a better coordination of guano extraction and conservancy policies.Seabirds may also adapt the seasonality of their breeding to drastic ecosystem changes caused by regime shifts. We found that the three study species exhibited a gradient of plasticity regarding the seasonality of their breeding. Cormorants showed a greater plasticity, modulating the timing and magnitude on their breeding seasonality. This is probably authorized by the greater foraging flexibility offered its great diving capacities. Fixed onset and magnitudes of breeding in boobies may be related to their specific foraging strategy and/or to changes of prey items when anchovy stock was low. We also suggested that boobies may adapt other fecundity traits as growth rate of chicks to lower abundance of anchovy.The specific differences in the adaptation of seasonal breeding allow seabirds to take profit differently from local prey conditions or to face differently regime shifts. Further researches, implementing a large-scale capture-recapture methodology in parallel with monthly census, are proposed in order to fulfill gaps in the basic knowledge on vital traits (adult survival, first age at reproduction, and juvenile recruitment) which are critical parameters to evaluate the dynamic of a population.

Submitted by Paulo Ricardo Teodoro da Silva null (paulo82239@aluno.feis.unesp.br) on 2017-10-10T02:41:22Z No. of bitstreams: 1 Paulo Ricardo Teodoro da Silva_final.pdf: 5656626 bytes, checksum: 2c9618d4f90a4b6da73ade7a307dadcd (MD5) / Approved for entry into archive by Luiz Galeffi (luizgaleffi@gmail.com) on 2017-10-11T15:02:10Z (GMT) No. of bitstreams: 1 silva_prt_me_ilha.pdf: 5656626 bytes, checksum: 2c9618d4f90a4b6da73ade7a307dadcd (MD5) / Made available in DSpace on 2017-10-11T15:02:10Z (GMT). No. of bitstreams: 1 silva_prt_me_ilha.pdf: 5656626 bytes, checksum: 2c9618d4f90a4b6da73ade7a307dadcd (MD5) Previous issue date: 2017-08-17 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) / No cerrado brasileiro o Sistema Plantio Direto tem sido adotado expressivamente por agricultores. Contudo, o tráfego de máquinas e implementos em condições de alto teor de água no solo e as sucessivas adubações superficiais, tem provocado problemas de compactação e acúmulo de nutrientes na superfície, o que pode levar ao aumento da variabilidade espacial de nutrientes e na baixa expressão do potencial produtivo das culturas. Com a escarificação do solo, como prática para aliviar a compactação do solo, pode haver alterações na variabilidade horizontal de nutrientes devido à mobilização parcial do solo. Desta forma, a pesquisa teve como objetivo avaliar a variabilidade espacial dos atributos químicos do solo proporcionada pela escarificação do solo em Sistema Plantio Direto, e identificar por técnicas multivariadas, os principais atributos químicos do solo que melhor se relacionam com os componentes de produção e produtividade da soja. O experimento foi realizado num LATOSSOLO VERMELHO Distrófico, no ano agrícola 2015/16, na Fazenda de Ensino, Pesquisa e Extensão da Faculdade de Engenharia - UNESP, Câmpus de Ilha Solteira, localizada no município de Selvíria - MS. O experimento consistiu-se em duas áreas de cultivo, uma sob Sistema Plantio Direto (SPD) implantado há 13 anos e outra em Cultivo Mínimo escarificado (CM). Para coleta dos dados, foram alocadas duas malhas geoestatísticas, uma em cada área de cultivo. Cada malha foi constituída de 51 pontos equidistantes com uma distância entre pontos de 10 m. Foram avaliadas a população final de plantas, a altura de inserção da primeira vagem, a altura de plantas, o número de vagens por planta, de grãos por planta, de grãos por vagem, a massa de 100 grãos, a produtividade de grãos e atributos químicos do solo. A produtividade de grãos de soja foi maior em SPD quando comparado ao CM escarificado. A escarificação diminuiu a variabilidade espacial dos atributos químicos do solo na camada de 0-0,10 m. Os valores de pH, teores de cálcio, magnésio e fósforo na camada de 0-0,10 m, bem como o teor de K de 0,10-0,20 m, são os atributos que mais contribuíram no aumento de produtividade da soja em SPD e em CM. Em SPD, a fertilidade do solo concentra-se na camada superficial, enquanto que no CM escarificado na camada de 0,10-0,20 m. Em SPD, a CTC apresentou cokrigagem positiva com a produtividade de grãos em superfície e subsuperfície do solo. Em CM, o pH e a saturação por bases apresentaram cokrigagem positiva com a produtividade de grãos na camada de 0-0,20 m, enquanto que a acidez potencial apresentou cokrigagem negativa. / In the Brazilian cerrado the no-tillage system has been adopted expressively by farmers. However, the traffic of machines and implements in conditions of high water content in the soil and successive superficial fertilizations has caused problems of compaction and accumulation of nutrients on the surface, which can lead to increased spatial variability of nutrients and low expression potential of crops. With soil scarification, as a practice to alleviate soil compaction, there may be changes in the horizontal variability of nutrients due to partial soil mobilization. The objective of this research was to evaluate the spatial variability of soil chemical attributes provided by soil scarification in no - tillage system, and to identify by multivariate techniques, the main soil chemical attributes that best relate to soybean yield and productivity components. The experiment was carried out in a dystrophic Oxisol, in the agricultural year 2015/16, in the Experimental Farm belonging to the Faculty of Engineering - UNESP (Ilha Solteira), located in Selvíria - MS. The experiment consisted of two cultivation areas, one under no-tillage system (NT) implanted 13 years ago and another in minimal cultivation scarified (MCS). To collect the data, two geostatistical meshes were allocated, one in each cultivation area. Each mesh was made up of 51 equidistant points with a distance between points of 10 m. The final population of plants, the height of insertion of the first pod, the height of plants, the number of pods per plant, of grains per plant, of grains per pod, the mass of 100 grains, the grain yield and soil chemical attributes were evaluated. The yield of soybean grains was higher in NT when compared to scarified MCS. Soil scarification decreased the spatial variability of soil chemical attributes in the 0-0.10 m layer. The values of pH, calcium, magnesium and phosphorus contents in the 0-0,10 m layer, as well as the K content of 0,10-0,20 m layer, are the attributes that contributed the most to increase soybean productivity in NT and MCS. In NT, the soil fertility is concentrated in the superficial layer, whereas in the MCS in the layer of 0,10-0,20 m. In NT, the CEC presented positive cokrigagem with grain yield at the surface and subsurface soil. In MCS, the pH and base saturation showed positive cokrigagem with grain yield in the 0-0,20 m layer, while potential acidity showed negative cokrigagem.

O objetivo deste trabalho foi avaliar a incorporação de funções geoestatísticas na matriz de variâncias e covariâncias residual no estudo de modelos lineares mistos a partir de um grupo de quatro experimentos de cana-de-açúcar, conduzidos na Guatemala nos seguintes locais: fazenda Limones - usina açucareira Pantaleón (LP), fazenda Bálsamo - usina açucareira Pantaleón (BP), área 1 da fazenda Limones - usina Madre Tierra (MT1) e área 2 da fazenda Limones - usina Madre Tierra (MT2). A variável resposta de interesse foi a produção de cana-de-açúcar por hectare, o delineamento utilizado nos quatro locais foi o casualizado em blocos, com cinco repetições e os mesmos seis tratamentos referentes a diferentes dosagens de um biorregulador (estimulante de crescimento). Em princípio, foram ajustados e comparados diversos modelos alternando-se o efeito de blocos, ora considerado fixo, ora aleatório, e a estrutura da matriz de variâncias e covariâncias (R), segundo os modelos exponencial, gaussiano e esférico. Estes modelos foram comparados, e os que admitem estruturas de dependência espacial se destacaram estatisticamente como os melhores, a partir do critério de Akaike (AIC), sendo então selecionados os modelos BFExp (blocos de efeito fixo e função exponencial na matriz R) e BAExpH (blocos de efeito aleatório, função exponencial para R e variâncias diferentes entre os locais). A seguir, foi realizada a estimação dos efeitos fixos e a predição dos efeitos aleatórios por meio do método da máxima verossimilhança restrita (REML) pois esta metodologia proporciona um menor viés para suas estimativas. As análises conjuntas nos dois modelos selecionados não apresentaram interação tratamentos versus locais, nem mesmo efeito de tratamentos significativos, não sendo aconselhado o desdobramento desta interação. O efeito de locais por sua vez, foi significativo apenas no modelo BAExpH, e detectou-se neste caso a superioridade do local BP em relação aos demais. Adicionalmente, os locais foram analisados individualmente, focando a comparação dos modelos e as análises de variâncias, contudo, assim como na análise conjunta, nos modelos escolhidos para cada local, os efeitos de tratamentos também não foram significativos. Gráficos de resíduos foram construídos e representaram bons ajustes para os modelos BFExp e BAExpH para descrever os dados deste grupo de experimentos. Por fim, foi realizado um estudo de simulação cujos resultados deram mais credibilidade e suporte para a importância e relevância de se verificar, por meio de comparações, a necessidade de uso de um modelo mais elaborado, que considere a possível existência de dependência espacial entre as observações. / The aim of this research was to evaluate the incorporation of geostatistical functions in the residual variances and covariances matrix in linear mixed models in a group of four experiments cane sugar conducted in four sites of Guatemala: farm Limones - Pantaleon sugar mill (LP), farm Bálsamo - Pantaleon sugar mill (BP), area 1 of the farm Limones - sugar mill Madre Tierra (MT1) and area 2 of the farm Limones - sugar mill Madre Tierra (MT2). Production of sugar cane was the interest variable analyzed at all locations, using the randomized block design with five replications and the same six treatments related to different doses of a plant growth regulator. Initially the models were adjusted and compared with alternating the blocks effect, sometimes considered fixed, sometimes random, and the structure of the variance and covariance matrix (R) according to the exponential, gaussian and spherical models. The models were compared, and, among them, those with spatial dependence structures stood out as the best statistically from the Akaike information criterion (AIC), and the selected modelos were the BFExp model (block as fixed effect and exponential function to R) and the BAExpH model (block as random effect, exponential function to R and different variances among the sites). After that, the estimation of fixed effects and prediction of random effects using the restricted maximum likelihood method (REML) were done, since this methodology provides a lower bias to their estimates. The joint analysis of both selected models showed no interaction between treatments and locals, even significant effect of treatments, not being advised the unfolding of this interaction. The effect of local was significant only in the BAExpH model, and detected in this case the superiority of the local BP in relation to the others. Additionally, individual sites were examined similarly to the previous case, through comparison of models and analysis of variance, however, treatment effects weren\'t significant too. Residual plots were constructed and represented satisfactory fit of the models to describe the data in all cases studied. Finally, a simulation study showed results with more credibility and support for the importance and relevance of verifying, through comparisons, the need to use a more structured model that considers the possible existence of spatial dependence among observations.