Contribuição à confiabilidade de estacas tipo raiz através de um estudo de provas de carga estáticas com aplicação da teoria bayesiana.

Atualmente, o assunto de segurança em fundações tem despertado a atenção de diversos pesquisadores. Muitos entendem ser ultrapassada a utilização, pura e simples, de fatores de segurança em obras geotécnicas. O tratamento determinístico nos projetos de fundações não corresponde às variações e incertezas geradas em todo o processo de investigação do subsolo e processo executivo da fundação, sendo ainda o projeto de fundações um fim de linha de uma longa fila de disciplinas que a precedem e que geram também incertezas nas informações de esforços de suas estruturas e solicitações nas fundações. Porém, são as fundações as primeiras a serem executadas em qualquer obra civil. Este aspecto tem levado à necessidade crescente de verificar também a probabilidade de ruína da fundação por meio da chamada análise de confiabilidade. Com o objetivo de contribuir com a discussão sobre o emprego da análise de confiabilidade, as orientações da norma e o aprimoramento de modelos de cálculo, esta dissertação apresenta, através da aplicação em um estudo de caso, os diferentes aspectos de segurança abordados em projetos de fundações. Procura-se destacar dois tipos básicos de incertezas: aquelas inerentes à variabilidade espacial das propriedades do solo e as decorrentes do modelo de cálculo. Nesta pesquisa são procedidas inicialmente as extrapolações das curvas das provas de carga, que resultarão nos valores da função de Verossimilhança, para a atualização por Bayes. Numa segunda etapa se procede à estimativa da capacidade de carga a priori por alguns métodos consagrados e amplamente utilizados no Brasil. A atualização da estimativa da capacidade de carga é, a seguir, realizada através da metodologia de Bayes, sendo esta uma aplicação de conceitos da probabilidade condicional. A ideia de se proceder a estas duas alternativas de análise à priori foi norteada por duas motivações distintas: i) contribuir para a prática, pelo procedimento de combinação de informações num caso real bem documentado, conforme proposto por Vrouwenvelder (1992) e ii) motivar discussão de opiniões polêmicas de engenheiros de fundações brasileiros em relação à adoção de um fator de segurança inferior a 2 no caso de provas de carga especificadas na fase de projeto.

Identifying appropriate sampling and modelling approaches for analysing distributional patterns of Antarctic terrestrial arthropods along the Victoria Land latitudinal gradient

Biotic communities in Antarctic terrestrial ecosystems are relatively simple and often lack higher trophic levels (e. g. predators); thus, it is often assumed that species' distributions are mainly affected by abiotic factors such as climatic conditions, which change with increasing latitude, altitude and/or distance from the coast. However, it is becoming increasingly apparent that factors other than geographical gradients affect the distribution of organisms with low dispersal capability such as the terrestrial arthropods. In Victoria Land (East Antarctica) the distribution of springtail (Collembola) and mite (Acari) species vary at scales that range from a few square centimetres to regional and continental. Different species show different scales of variation that relate to factors such as local geological and glaciological history, and biotic interactions, but only weakly with latitudinal/altitudinal gradients. Here, we review the relevant literature and outline more appropriate sampling designs as well as suitable modelling techniques (e. g. linear mixed models and eigenvector mapping), that will more adequately address and identify the range of factors responsible for the distribution of terrestrial arthropods in Antarctica.

Mapeamento das formas do relevo para estimativa de custos de fertilização em cana-de-açúcar

A modelagem matemática associada ao conhecimento da variabilidade dos atributos do solo e mapeamento das formas do relevo pode auxiliar no manejo da fertilidade do solo em usinas sucroalcooleiras. O presente trabalho teve como objetivo avaliar o uso da geoestatística e da modelagem matemática na estimativa de custos de fertilização, em diferentes formas do relevo. em uma área de 200 ha, foram identificadas duas formas de relevo, uma côncava e outra convexa, sendo os solos coletados nos pontos de cruzamento de uma malha, com intervalos regulares de 50 m, perfazendo um total de 623 pontos. As amostras foram submetidas a análises químicas, e, posteriormente, os dados foram avaliados por meio da estatística descritiva, geoestatística e modelagem matemática. Os resultados mostraram que, quando as formas do relevo são incorporadas às análises geoestatística e de modelagem matemática, ocorre aumento na eficiência de aplicação do calcário, fósforo e potássio no solo.

Superfícies geomórficas e atributos de Latossolos em uma seqüência Arenítico-Basáltica da região de Jaboticabal (SP)

Em um segmento de vertente com substrato de arenito em contato com basalto, regionalmente muito freqüente, pretendeu-se não só relacionar as superfícies geomórficas com os atributos físicos, químicos e mineralógicos dos Latossolos nelas encontrados, mas também testar métodos geoestatísticos para localização de limites dessas superfícies. Usando critérios geomorfológicos, três superfícies foram identificadas e topograficamente caracterizadas. Os solos foram amostrados, a intervalos regulares de 25 m, na profundidade de 0,6 a 0,8 m (topo do horizonte B), em uma transeção de 1.700 m perfazendo 109 pontos. Nas amostras, foram analisados: densidade de partículas, granulometria, CTC do solo, CTC da argila, Fe total da argila (ataque por H2SO4) e óxidos de Fe livres (por dissolução seletiva). A fração argila desferrificada foi analisada por difração de raios X. Com base na estratigrafia e variações do relevo local, foram identificadas e diferenciadas, no campo, três superfícies geomórficas. Analisaram-se também o perfil altimétrico e o modelo de elevação digital do terreno. Observou-se que as três diferentes superfícies estão bem relacionadas com os atributos físicos, químicos e mineralógicos dos seus respectivos solos. Na parte inferior desta vertente, superfície mais recente e sobre basalto, em Latossolo Vermelho eutroférrico típico, foram encontradas as maiores variabilidades da declividade, da argila e de Fe. As variações da inclinação do terreno, quando analisadas sistematicamente pelo split moving windows dissimilarity analysis (análise estatística de dissimilaridade, em segmentos móveis), mostraram que este método estatístico pode ser usado para ajudar a localizar os limites entre superfícies geomórficas. As variações dos solos da transeção, e arredores, mostraram-se relacionadas com idade, inclinação do terreno e litologia. O trabalho geomórfico detalhado forneceu importantes informações para subsidiar os trabalhos de levantamento de solos e de pedogênese.

Variabilidade espacial de fatores de erosão em Latossolo Vermelho eutroférrico sob cultivo de cana-de-açúcar

Visando a avaliar a variabilidade espacial de fatores de erosão em Latossolo Vermelho eutroférrico, foram obtidas amostras do solo em intervalos regulares de 50 m, em forma de grid, totalizando 206 pontos de amostragem. Foram coletadas amostras nas profundidades de 0,0-0,2 m para a determinação da composição granulométrica e do conteúdo de matéria orgânica. Os fatores de erosão locais, como erosividade (R), erodibilidade (K), relevo (LS), perda de solo (A), potencial natural de erosão (PNE), risco de erosão (RE) e expectativa de erosão (EE), foram avaliados. A variabilidade do solo medida pelo coeficiente de variação registrou-se média para K, alta para o RE e EE e muito alta para A, LS e PNE. As variáveis estudadas apresentaram estrutura de dependência espacial com grau moderado para as variáveis K, A, PNE e RE, e forte para o LS e EE. Mapas obtidos por krigagem foram apresentados para descrição dos padrões de distribuição dos fatores de erosão na paisagem.

Correlação da produtividade vegetal em função de atributos físico-químicos do solo na integração lavoura-pecuária

Pós-graduação em Agronomia - FEIS

Relationships of Photosynthetic Photon Flux Density, air Temperature and Humidity with Tomato Leaf Diffusive Conductance and Temperature

The objective was to study the leaf temperature (LT) and leaf diffusive vapor conductance (gs) responses to temperature, humidity and incident flux density of photosynthetically active photons (PPFD) of tomato plants grown without water restriction in a plastic greenhouse in Santa Maria, RS, Brazil. The plants were grown in substrate and irrigated daily. The gs was measured using a steady-state null-balance porometer on the abaxial face of the leaves during the daytime. Both leaf surfaces were measured in one day. The PPFD and LT were measured using the porometer. Leaf temperature was determined using an infrared thermometer, and air temperature and humidity were measured using a thermohygrograph. The leaves on the upper layer of the plants had higher gs than the lower layer. The relationship between the gs and PPFD was different for the two layers in the plants. A consistent relationship between the gs and atmospheric water demand was observed only in the lower layer. The LT tended to be lower than the air temperature. The mean value for the gs was 2.88 times higher on the abaxial than adaxial leaf surface.

A three dimensional numerical investigation of hillslope flow processes

Physically based distributed models of catchment hydrology are likely to be made available as engineering tools in the near future. Although these models are based on theoretically acceptable equations of continuity, there are still limitations in the present modelling strategy. Of interest to this thesis are the current modelling assumptions made concerning the effects of soil spatial variability, including formations producing distinct zones of preferential flow. The thesis contains a review of current physically based modelling strategies and a field based assessment of soil spatial variability. In order to investigate the effects of soil nonuniformity a fully three dimensional model of variability saturated flow in porous media is developed. The model is based on a Galerkin finite element approximation to Richards equation. Accessibility to a vector processor permits numerical solutions on grids containing several thousand node points. The model is applied to a single hillslope segment under various degrees of soil spatial variability. Such variability is introduced by generating random fields of saturated hydraulic conductivity using the turning bands method. Similar experiments are performed under conditions of preferred soil moisture movement. The results show that the influence of soil variability on subsurface flow may be less significant than suggested in the literature, due to the integrating effects of three dimensional flow. Under conditions of widespread infiltration excess runoff, the results indicate a greater significance of soil nonuniformity. The recognition of zones of preferential flow is also shown to be an important factor in accurate rainfall-runoff modelling. Using the results of various fields of soil variability, experiments are carried out to assess the validity of the commonly used concept of `effective parameters'. The results of these experiments suggest that such a concept may be valid in modelling subsurface flow. However, the effective parameter is observed to be event dependent when the dominating mechanism is infiltration excess runoff.

Spatial variability of soil CO2 emission in a sugarcane area characterized by secondary information

Soil CO2 emission (FCO2) is governed by the inherent properties of the soil, such as bulk density (BD). Mapping of FCO2 allows the evaluation and identification of areas with different accumulation potential of carbon. However, FCO2 mapping over larger areas is not feasible due to the period required for evaluation. This study aimed to assess the quality of FCO2 spatial estimates using values of BD as secondary information. FCO2 and BD were evaluated on a regular sampling grid of 60 m × 60 m comprising 141 points, which was established on a sugarcane area. Four scenarios were defined according to the proportion of the number of sampling points of FCO2 to those of BD. For these scenarios, 67 (F67), 87 (F87), 107 (F107) and 127 (F127) FCO2 sampling points were used in addition to 127 BD sampling points used as supplementary information. The use of additional information from the BD provided an increase in the accuracy of the estimates only in the F107, F67 and F87 scenarios, respectively. The F87 scenario, with the approximate ratio between the FCO2 and BD of 1.00:1.50, presented the best relative improvement in the quality of estimates, thereby indicating that the BD should be sampled at a density 1.5 time greater than that applied for the FCO2. This procedure avoided problems related to the high temporal variability associated with FCO2, which enabled the mapping of this variable to be elaborated in large areas.

Spatial variability of soil organic carbon in grasslands: implications for detecting change at different scales

Extensive data used to quantify broad soil C changes (without information about causation), coupled with intensive data used for attribution of changes to specific management practices, could form the basis of an efficient national grassland soil C monitoring network. Based on variability of extensive (USDA/NRCS pedon database) and intensive field-level soil C data, we evaluated the efficacy of future sample collection to detect changes in soil C in grasslands. Potential soil C changes at a range of spatial scales related to changes in grassland management can be verified (alpha=0.1) after 5 years with collection of 34, 224, 501 samples at the county, state, or national scales, respectively. Farm-level analysis indicates that equivalent numbers of cores and distinct groups of cores (microplots) results in lowest soil C coefficients of variation for a variety of ecosystems. Our results suggest that grassland soil C changes can be precisely quantified using current technology at scales ranging from farms to the entire nation. (C) 2001 Elsevier Science Ltd. All rights reserved.

Environmental factors controlling temporal and spatial variability in the soil-atmosphere exchange of CO2, CH4 and N2O from an Australian subtropical rainforest

The temporal variations in CO2, CH4 and N2O fluxes were measured over two consecutive years from February 2007 to March 2009 from a subtropical rainforest in south-eastern Queensland, Australia, using an automated sampling system. A concurrent study using an additional 30 manual chambers examined the spatial variability of emissions distributed across three nearby remnant rainforest sites with similar vegetation and climatic conditions. Interannual variation in fluxes of all gases over the 2 years was minimal, despite large discrepancies in rainfall, whereas a pronounced seasonal variation could only be observed for CO2 fluxes. High infiltration, drainage and subsequent high soil aeration under the rainforest limited N2O loss while promoting substantial CH4 uptake. The average annual N2O loss of 0.5 ± 0.1 kg N2O-N ha−1 over the 2-year measurement period was at the lower end of reported fluxes from rainforest soils. The rainforest soil functioned as a sink for atmospheric CH4 throughout the entire 2-year period, despite periods of substantial rainfall. A clear linear correlation between soil moisture and CH4 uptake was found. Rates of uptake ranged from greater than 15 g CH4-C ha−1 day−1 during extended dry periods to less than 2–5 g CH4-C ha−1 day−1 when soil water content was high. The calculated annual CH4 uptake at the site was 3.65 kg CH4-C ha−1 yr−1. This is amongst the highest reported for rainforest systems, reiterating the ability of aerated subtropical rainforests to act as substantial sinks of CH4. The spatial study showed N2O fluxes almost eight times higher, and CH4 uptake reduced by over one-third, as clay content of the rainforest soil increased from 12% to more than 23%. This demonstrates that for some rainforest ecosystems, soil texture and related water infiltration and drainage capacity constraints may play a more important role in controlling fluxes than either vegetation or seasonal variability

Inherent errors in pollutant build-up estimation in considering urban land use as a lumped parameter

Stormwater quality modelling results is subject to uncertainty. The variability of input parameters is an important source of overall model error. An in-depth understanding of the variability associated with input parameters can provide knowledge on the uncertainty associated with these parameters and consequently assist in uncertainty analysis of stormwater quality models and the decision making based on modelling outcomes. This paper discusses the outcomes of a research study undertaken to analyse the variability related to pollutant build-up parameters in stormwater quality modelling. The study was based on the analysis of pollutant build-up samples collected from 12 road surfaces in residential, commercial and industrial land uses. It was found that build-up characteristics vary appreciably even within the same land use. Therefore, using land use as a lumped parameter would contribute significant uncertainties in stormwater quality modelling. Additionally, it was also found that the variability in pollutant build-up can also be significant depending on the pollutant type. This underlines the importance of taking into account specific land use characteristics and targeted pollutant species when undertaking uncertainty analysis of stormwater quality models or in interpreting the modelling outcomes.

Soil moisture variability in a temperate deciduous forest: insights from electrical resistivity and throughfall data

Hydrogeophysics is a growing discipline that holds significant promise to help elucidate details of dynamic processes in the near surface, built on the ability of geophysical methods to measure properties from which hydrological and geochemical variables can be derived. For example, bulk electrical conductivity is governed by, amongst others, interstitial water content, fluid salinity, and temperature, and can be measured using a range of geophysical methods. In many cases, electrical resistivity tomography (ERT) is well suited to characterize these properties in multiple dimensions and to monitor dynamic processes, such as water infiltration and solute transport. In recent years, ERT has been used increasingly for ecosystem research in a wide range of settings; in particular to characterize vegetation-driven changes in root-zone and near-surface water dynamics. This increased popularity is due to operational factors (e.g., improved equipment, low site impact), data considerations (e.g., excellent repeatability), and the fact that ERT operates at scales significantly larger than traditional point sensors. Current limitations to a more widespread use of the approach include the high equipment costs, and the need for site-specific petrophysical relationships between properties of interest. In this presentation we will discuss recent equipment advances and theoretical and methodological aspects involved in the accurate estimation of soil moisture from ERT results. Examples will be presented from two studies in a temperate climate (Michigan, USA) and one from a humid tropical location (Tapajos, Brazil).

Analysis of residual tropical cemented soil behaviour

In -situ soils in gee-material spectrum might arise due to sedimentation or could be non-sedimentary residual formations. The inherent nature and diversity of geological processes involved in the soil formation stage itself are responsible for a wide variability in the in-situ state of the soil. In this paper the possibility of analyses to arrive at engineering parameters of residual soils with varied degrees of residual or acquired cementation by the use of physical and in-situ parameters normally determined in routine investigations, are examined. An Intrinsic State Line,(ISL), with reference to an intrinsic state parameter (e/e(L)) and its variation with effective stress for reconstituted clays has been developed for residual tropical soils of non-sedimentary origin. In relation to the Intrinsic State Line (ISL), the undisturbed state, e, the potential parameter, e(L), along with the overburden pressure data has been analyzed to identify the dominance of cementation or stress history or both in controlling the compressibility and strength behaviour of natural residual soil. The location of yield stress point in relation to the ISL, pre-, and post- yield stress, compression indices along the e- log sigma(v) path provide a simple means to the analysis of the compressibility characteristics of cemented soils for analysis.