939 resultados para Vegetative Propagation
Resumo:
In topographically flat wetlands, where shallow water table and conductive soil may develop as a result of wet and dry seasons, the connection between surface water and groundwater is not only present, but perhaps the key factor dominating the magnitude and direction of water flux. Due to their complex characteristics, modeling waterflow through wetlands using more realistic process formulations (integrated surface-ground water and vegetative resistance) is an actual necessity. This dissertation focused on developing an integrated surface – subsurface hydrologic simulation numerical model by programming and testing the coupling of the USGS MODFLOW-2005 Groundwater Flow Process (GWF) package (USGS, 2005) with the 2D surface water routing model: FLO-2D (O’Brien et al., 1993). The coupling included the necessary procedures to numerically integrate and verify both models as a single computational software system that will heretofore be referred to as WHIMFLO-2D (Wetlands Hydrology Integrated Model). An improved physical formulation of flow resistance through vegetation in shallow waters based on the concept of drag force was also implemented for the simulations of floodplains, while the use of the classical methods (e.g., Manning, Chezy, Darcy-Weisbach) to calculate flow resistance has been maintained for the canals and deeper waters. A preliminary demonstration exercise WHIMFLO-2D in an existing field site was developed for the Loxahatchee Impoundment Landscape Assessment (LILA), an 80 acre area, located at the Arthur R. Marshall Loxahatchee National Wild Life Refuge in Boynton Beach, Florida. After applying a number of simplifying assumptions, results have illustrated the ability of the model to simulate the hydrology of a wetland. In this illustrative case, a comparison between measured and simulated stages level showed an average error of 0.31% with a maximum error of 2.8%. Comparison of measured and simulated groundwater head levels showed an average error of 0.18% with a maximum of 2.9%. The coupling of FLO-2D model with MODFLOW-2005 model and the incorporation of the dynamic effect of flow resistance due to vegetation performed in the new modeling tool WHIMFLO-2D is an important contribution to the field of numerical modeling of hydrologic flow in wetlands.
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• Premise of the study: Species in the aquatic genus Nymphoides have inflorescences that appear to arise from the petioles of floating leaves. The inflorescence-floating leaf complex can produce vegetative propagules and/or additional inflorescences and leaves. We analyzed the morphology of N. aquatica to determine how this complex relates to whole plant architecture and whether whole plant growth is sympodial or monopodial. • Methods: We used dissections, measurements, and microscopic observations of field-collected plants and plants cultivated for 2 years in outdoor tanks in south Florida, USA. • Key results: Nymphoides aquatica had a submerged plagiotropic rhizome that produced floating leaves in an alternate/spiral phyllotaxy. Rhizomes were composed of successive sympodial units that varied in the number of leaves produced before the apex terminated. The basic sympodial unit had a prophyll that subtended a renewal-shoot bud, a short-petioled leaf (SPL) with floating lamina, and an inflorescence; the SPL axillary bud expanded as a vegetative propagule. Plants produced either successive basic sympodial units or expanded sympodia that intercalated long-petioled leaves between the prophyll and the SPL. • Conclusions: Nymphoides aquatica grows sympodially, forming a rhizome composed of successive basic sympodia and expanded sympodial units. Variations on these types of sympodial growth help explain the branching patterns and leaf morphologies described for other Nymphoides species. Monitoring how these two sympodial phases are affected by water depth provides an ecologically meaningful way to assess N. aquatica’s responses to altered hydrology.
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The increasing threat of global climate change is predicted to have immense influences on ecosystems worldwide, but could be particularly severe to vulnerable wetland environments such as the Everglades. This work investigates the impact global climate change could have on the hydrologic and vegetative makeup of Everglades National Park (ENP) under forecasted emissions scenarios. Using a simple stochastic model of aboveground water levels driven by a fluctuating rainfall input, we link across ENP a location's mean depth and percent time of inundation to the predicted changes in precipitation from climate change. Changes in the hydrologic makeup of ENP are then related to changes in vegetation community composition through the use of relationships developed between two publically available datasets. Results show that under increasing emissions scenarios mean annual precipitation was forecasted to decrease across ENP leading to a marked hydrologic change across the region. Namely, areas were predicted to be shallower in average depth of standing water and inundated less of the time. These hydrologic changes in turn lead to a shift in ENP's vegetative makeup, with xeric vegetative communities becoming more numerous and hydric vegetative communities becoming scarcer. Noticeably, the most widespread of vegetative communities, sawgrass, decreases in abundance under increasing emissions scenarios. These results are an important indicator of the effects climate change may have on the Everglades region and raise important management implications for those seeking to restore this area to its historical hydrologic and vegetative condition.
Resumo:
Tide propagation through coastal wetlands is a complex phenomenon affected by vegetation, channels, and tidal conditions. Generally, tidal flow is studied using stage (water level) observations, which provide good temporal resolution, but they are acquired in limited locations. Here, a remote-sensing technique, wetland InSAR (interferometric synthetic aperture radar), is used to detect tidal flow in vegetated coastal environments over broad spatial scales. The technique is applied to data sets acquired by three radar satellites over the western Everglades in south Florida. Interferometric analysis of the data shows that the greatest water-level changes occur along tidal channels, reflecting a high velocity gradient between fast horizontal flow in the channel and the slow flow propagation through the vegetation. The high-resolution observations indicate that the tidal flushing zone extends 2–3 km on both sides of tidal channels and can extend 3–4 km inland from the end of the channel. The InSAR observations can also serve as quantitative constraints for detailed coastal wetland flow models.
Resumo:
This dissertation focused on developing an integrated surface – subsurface hydrologic simulation numerical model by programming and testing the coupling of the USGS MODFLOW-2005 Groundwater Flow Process (GWF) package (USGS, 2005) with the 2D surface water routing model: FLO-2D (O’Brien et al., 1993). The coupling included the necessary procedures to numerically integrate and verify both models as a single computational software system that will heretofore be referred to as WHIMFLO-2D (Wetlands Hydrology Integrated Model). An improved physical formulation of flow resistance through vegetation in shallow waters based on the concept of drag force was also implemented for the simulations of floodplains, while the use of the classical methods (e.g., Manning, Chezy, Darcy-Weisbach) to calculate flow resistance has been maintained for the canals and deeper waters. A preliminary demonstration exercise WHIMFLO-2D in an existing field site was developed for the Loxahatchee Impoundment Landscape Assessment (LILA), an 80 acre area, located at the Arthur R. Marshall Loxahatchee National Wild Life Refuge in Boynton Beach, Florida. After applying a number of simplifying assumptions, results have illustrated the ability of the model to simulate the hydrology of a wetland. In this illustrative case, a comparison between measured and simulated stages level showed an average error of 0.31% with a maximum error of 2.8%. Comparison of measured and simulated groundwater head levels showed an average error of 0.18% with a maximum of 2.9%.
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The successful performance of a hydrological model is usually challenged by the quality of the sensitivity analysis, calibration and uncertainty analysis carried out in the modeling exercise and subsequent simulation results. This is especially important under changing climatic conditions where there are more uncertainties associated with climate models and downscaling processes that increase the complexities of the hydrological modeling system. In response to these challenges and to improve the performance of the hydrological models under changing climatic conditions, this research proposed five new methods for supporting hydrological modeling. First, a design of experiment aided sensitivity analysis and parameterization (DOE-SAP) method was proposed to investigate the significant parameters and provide more reliable sensitivity analysis for improving parameterization during hydrological modeling. The better calibration results along with the advanced sensitivity analysis for significant parameters and their interactions were achieved in the case study. Second, a comprehensive uncertainty evaluation scheme was developed to evaluate three uncertainty analysis methods, the sequential uncertainty fitting version 2 (SUFI-2), generalized likelihood uncertainty estimation (GLUE) and Parameter solution (ParaSol) methods. The results showed that the SUFI-2 performed better than the other two methods based on calibration and uncertainty analysis results. The proposed evaluation scheme demonstrated that it is capable of selecting the most suitable uncertainty method for case studies. Third, a novel sequential multi-criteria based calibration and uncertainty analysis (SMC-CUA) method was proposed to improve the efficiency of calibration and uncertainty analysis and control the phenomenon of equifinality. The results showed that the SMC-CUA method was able to provide better uncertainty analysis results with high computational efficiency compared to the SUFI-2 and GLUE methods and control parameter uncertainty and the equifinality effect without sacrificing simulation performance. Fourth, an innovative response based statistical evaluation method (RESEM) was proposed for estimating the uncertainty propagated effects and providing long-term prediction for hydrological responses under changing climatic conditions. By using RESEM, the uncertainty propagated from statistical downscaling to hydrological modeling can be evaluated. Fifth, an integrated simulation-based evaluation system for uncertainty propagation analysis (ISES-UPA) was proposed for investigating the effects and contributions of different uncertainty components to the total propagated uncertainty from statistical downscaling. Using ISES-UPA, the uncertainty from statistical downscaling, uncertainty from hydrological modeling, and the total uncertainty from two uncertainty sources can be compared and quantified. The feasibility of all the methods has been tested using hypothetical and real-world case studies. The proposed methods can also be integrated as a hydrological modeling system to better support hydrological studies under changing climatic conditions. The results from the proposed integrated hydrological modeling system can be used as scientific references for decision makers to reduce the potential risk of damages caused by extreme events for long-term water resource management and planning.
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We report a mechanism for pore growth and propagation based on a three-step charge transfer model. The study is supported by electron microscopy analysis of highly doped n-InP samples anodised in aqueous KOH. The model and experimental data are used to explain propagation of pores of characteristic diameter preferentially along the <111>A directions. We also show evidence for deviation of pore growth from the <111>A directions and explain why such deviations should occur. The model is self-consistent and predicts how carrier concentration affects the internal dimensions of the porous structures.
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A new variant of the Element-Free Galerkin (EFG) method, that combines the diffraction method, to characterize the crack tip solution, and the Heaviside enrichment function for representing discontinuity due to a crack, has been used to model crack propagation through non-homogenous materials. In the case of interface crack propagation, the kink angle is predicted by applying the maximum tangential principal stress (MTPS) criterion in conjunction with consideration of the energy release rate (ERR). The MTPS criterion is applied to the crack tip stress field described by both the stress intensity factor (SIF) and the T-stress, which are extracted using the interaction integral method. The proposed EFG method has been developed and applied for 2D case studies involving a crack in an orthotropic material, crack along an interface and a crack terminating at a bi-material interface, under mechanical or thermal loading; this is done to demonstrate the advantages and efficiency of the proposed methodology. The computed SIFs, T-stress and the predicted interface crack kink angles are compared with existing results in the literature and are found to be in good agreement. An example of crack growth through a particle-reinforced composite materials, which may involve crack meandering around the particle, is reported.
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Dans la maladie d’Alzheimer, il existe deux marqueurs histopathologiques : les plaques amyloïdes composées de la protéine amyloïde-bêta et les enchevêtrements neurofibrillaires (NFTs) composés de la protéine tau agrégée. Dans le cerveau, la propagation de la pathologie de tau est observée le long des circuits neuronaux connectés synaptiquement, selon une séquence de stades, caractérisés par le Docteur Braak en 1991. Chez les patients, le degré de démence corrèle avec le nombre de NFTs. Ces derniers apparaissent dans des régions précises du cerveau et se propagent, de manière prédictible, le long des projections neuronales à des stades plus tardifs de la pathologie. Il reste à éclaircir la manière dont les NFTs se propagent dans les différentes régions du cerveau. Dans notre laboratoire, nous avons émis l’hypothèse que la propagation de tau pourrait se produire par un processus de transmission de cellule à cellule. Ainsi, la protéine tau serait tout d’abord sécrétée par un neurone, puis endocytée par un neurone adjacent. Nos travaux de recherche se sont concentrés sur la sécrétion de la protéine tau. Dans une première étape, nous avons démontré l’existence de la sécrétion active de tau dans l’espace extracellulaire, en utilisant des modèles in vitro de cellules non neuronales et neuronales. Par la suite, nous avons caractérisé les formes de protéines tau sécrétées. Enfin dans un dernier temps, nous avons exploré les voies de sécrétion de la protéine tau ainsi que les mécanismes régulant ce phénomène. Nous avons réussi à moduler la sécrétion de tau en reproduisant plusieurs insultes observées dans la maladie d’Alzheimer. Nos recherches nous ont permis d’identifier l’appareil de Golgi comme étant une organelle dont la fragmentation augmente la sécrétion de la protéine tau. A la lumière de cette découverte, nous avons été capable de moduler la sécrétion de tau en ciblant spécifiquement l’activité de cdk5 et l’expression de rab1A contrôlant la morphologie du Golgi. Ainsi, nous avons réussi à diminuer significativement la sécrétion de la protéine tau. Nos travaux de recherche proposent de nouvelles cibles thérapeutiques pour la maladie d’Alzheimer, visant à diminuer la propagation de la pathologie de tau par de nouveaux mécanismes cellulaires.
Resumo:
The ultrasonic non-destructive testing of components may encounter considerable difficulties to interpret some inspections results mainly in anisotropic crystalline structures. A numerical method for the simulation of elastic wave propagation in homogeneous elastically anisotropic media, based on the general finite element approach, is used to help this interpretation. The successful modeling of elastic field associated with NDE is based on the generation of a realistic pulsed ultrasonic wave, which is launched from a piezoelectric transducer into the material under inspection. The values of elastic constants are great interest information that provide the application of equations analytical models, until small and medium complexity problems through programs of numerical analysis as finite elements and/or boundary elements. The aim of this work is the comparison between the results of numerical solution of an ultrasonic wave, which is obtained from transient excitation pulse that can be specified by either force or displacement variation across the aperture of the transducer, and the results obtained from a experiment that was realized in an aluminum block in the IEN Ultrasonic Laboratory. The wave propagation can be simulated using all the characteristics of the material used in the experiment evaluation associated to boundary conditions and from these results, the comparison can be made.
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Abstract not available
Resumo:
La mise en oeuvre de systèmes de détection de défauts à même les structures ou infrastructures en génie est le sujet d’étude du Structural Health Monitoring (SHM). Le SHM est une solution efficace à la réduction des coûts associés à la maintenance de structures. Une stratégie prometteuse parmi les technologies émergentes en SHM est fondée sur l’utilisation d’ondes ultrasonores guidées. Ces méthodes sont basées sur le fait que les structures minces agissent comme guides d’ondes pour les ondes ultrasonores. Puisque les structures aéronautiques sont majoritairement minces, les ondes guidées constituent une stratégie pertinente afin d’inspecter de grandes surfaces. Toutefois, les assemblages aéronautiques sont constitués de plusieurs éléments modifiant et compliquant la propagation des ondes guidées dans celles-ci. En effet, la présence de rivets, de raidisseurs, de joints ainsi que la variation de la nature des matériaux utilisés complexifie la propagation des ondes guidées. Pour envisager la mise en oeuvre de systèmes de détection basés sur les ondes guidées, une compréhension des interactions intervenant dans ces diverses structures est nécessaire. Un tel travail entre dans le cadre du projet de collaboration CRIAQ DPHM 501 dont l’objectif principal est de développer une banque de connaissances quant à la propagation d’ondes guidées dans les structures aéronautiques. Le travail de ce mémoire présente d’abord les résultats d’études paramétriques numériques obtenus dans le cadre de ce projet CRIAQ. Puis, afin de faciliter la caractérisation expérimentale de la propagation des ondes guidées, une seconde partie du travail a porté sur le développement d’un absorbant d’ondes guidées. Cet absorbant permet également d’envisager l’extension des régions observables par les systèmes SHM. Ce deuxième volet contribue donc également au projet CRIAQ par l’atténuation de réflexions non désirées dans l’étude menée sur les maintes structures aéronautiques nourrissant la banque de connaissances. La première partie de ce mémoire relève l’état des connaissances de la littérature sur la propagation d’ondes guidées dans les structures aéronautiques. La deuxième partie présente rapidement le formalisme derrière les ondes de Lamb ainsi que les différentes approches analytiques pour caractériser les interactions entre ondes guidées et discontinuités. Par la suite, les outils utilisés pour effectuer les simulations par éléments finis sont présentés et validés par le biais d’une phase expérimentale. La deuxième partie se termine avec la présentation des différentes structures et discontinuités étudiées dans le cadre du projet CRIAQ. Finalement, la troisième et dernière partie de ce mémoire présente les travaux numériques orientés vers la conception d’un absorbant idéal pour ondes guidées. Afin d’y parvenir, une étude paramétrique quant à la forme, les dimensions et les propriétés mécaniques de l’absorbant est entreprise. Enfin, une étude expérimentale permettant de valider les résultats numériques est présentée.