Glacier models often fail to incorporate the geometry and/or physical properties of tributaries included in complex glaciers. Tributary glaciers have different source areas and flow conditions than the adjacent main valley glacier. Ice cores (~3m depth) and surface samples (<0.5m depth) were collected from Grenzgletscher (main valley glacier) and Zwillingsgletscher (tributary glacier) in the Gornergletscher system of the Swiss Alps. Stable water isotopes indicate seasonal variation, showing 1-2 annual layers. The mean d18O for Grenzgletscher is ~4.8‰ lower than for Zwillingsgletscher. This difference may be accounted for in part by elevation differences between the accumulation areas (~1.1‰ δ18O), increased avalanching in Grenzgletscher (~1.8 ‰ δ18O), and by varying climatic conditions at the time of precipitation (~0.9-1.4‰ variation in δ18O). Using a kinematic ice flow model, core ages were estimated using effective annual layer thickness (based on seasonal variations), annual accumulation rate and ice thickness. The Grenzgletscher core is ~4 years older than the Zwillingsgletscher core. Based on ages and flow distances, the tributary has a lower flow velocity (63-87 m/yr) compared to Grenzgletscher (61-134 m/yr). To understand thermal properties of the tributary, a 775 m GPR survey (200 MHz) was conducted along a flow line of Zwillingsgletscher. Topographic waves (ogives) observed on the surface are mimicked by the onset of reflectivity 10-20 m below the surface. Reflective regions are interpreted as warmer ice at the pressure melting point, overlain by colder ice. This thermal structure is likely related to acceleration through an ice fall. Since most tributary glaciers include ice falls, thermal properties of tributary glaciers may be different from those of the main valley glacier. The properties and geometry of tributary glaciers are significantly different from main valley glaciers and should therefore be incorporated into glacier models in the future.

Geophysical techniques, such as ground-penetrating radar (GPR), have been successfully used by law enforcement agencies to locate graves and forensic evidence. However, more controlled research is needed to better understand the potential and limitations of this technology in the forensic context. The goal of this study was to determine the potential of GPR using both a 250 MHz and 500 MHz antennae to monitor eight controlled graves with six different burial scenarios using pig carcasses as human proxy cadavers. In addition, a conductivity meter was employed to determine the applicability of using this technology to locate unmarked graves. For the conductivity meter, the data was processed using an EM38 program in conjunction with the SURFER program to display a conductivity contour map of the grid. For the GPR imagery, reflection profile data was processed using the program REFLEXW while horizontal slices were processed using the GPR-SLICE program. Results indicate that the conductivity meter is not a viable option in the detection of clandestine graves when other geophysical tools are available. For the GPR, results indicate that while graves can still be detected after a two-year period, there is a marked decrease in the response, or resolution, of the burial scenarios. Furthermore, burials with grave goods interred along with the carcasses were far more likely to be detected than burials that were interred with no accompanying grave goods. When comparing the performance of the two antennae, the 250 MHz antenna provided increased resolution for large cadavers buried in deep graves.

Many problems are involved with inspecting and evaluating the condition of bridges in the United States. Concrete bridge deck inspection and evaluation presents one of the largest problems. The deterioration of these concrete decks progresses more rapidly than any other bridge component, which leads to early concrete deck replacements that must be done before the bridge superstructure needs to be replaced. The primary cause of deterioration in these concrete bridge decks is corrosion-induced concrete cracking, which frequently results in delaminations. Delamination distress increases the life cycle cost of maintaining a concrete bridge deck, particularly when it is not detected early on. Early detection of delamination distress can facilitate economical repair and rehabilitation work, but bridge engineers must recommend deck replacement if repairs are delayed too long or inspection tools cannot detect delaminations early enough. The Federal Highway Administration has responded to the need for a better bridge deck inspection tool by contracting Lawrence Livermore National Laboratory to develop two new prototype ground penetrating radar systems. These two systems generate three-dimensional data that provide a representation of features that lie below the bridge deck surface. Both of these systems produce large amounts of data for an individual bridge deck, which makes automated data processing very desirable. The primary goal of the automated processing is to characterize bridge deck distress represented in the data. This study presents data collected from sample bridge deck sections using one of the prototype systems. It also describes the development and implementation of appropriate methods for automating data processing. The automated data processing is accomplished using image processing and pattern recognition algorithms developed in the study. / Ph. D.

Ground penetrating radar (GPR) technology has been used for the past 20 years for a variety of applications to assess transportation infrastructure. However, the main issue after all these years remains: "How well does GPR work and under what conditions?" Results show that GPR works well for some situations, but is not an appropriate tool for other situations. It is not used currently on a routine basis by the US Departments of Transportation (DOTs) due mainly to difficulties encountered with data interpretation. Data interpretation difficulties are mainly attributed to the fact that images obtained from the reflected signals are not photographs of the features that are beneath the surface being investigated. The images show the amplitude of the radar-reflected signals from the interfaces with different dielectric properties. Therefore, a considerable amount of experience and operator skill may be required to correctly interpret sub-surface radar results. To better understand reflected GPR signals, this research was conducted with the following objectives: to determine the dielectric properties of concrete over the used GPR frequency range; to synthesize the reflected air-coupled radar signals and compare them with measured waveforms; to model and study the effects of simulated defects in concrete on the reflected air-coupled and ground-coupled radar signals; and to validate the research results in the field by predicting layer thicknesses of flexible pavements and detecting moisture in flexible pavement systems. Several concrete slabs, 1.5x1.5 m, were constructed with known thicknesses, simulated defects, and different reinforcement configurations. The concrete mixes included four different bridge deck mixes and one concrete pavement mix used in the State of Virginia. Results have shown that the dielectric constant of concrete is frequency and mix dependent. However, modeling the reflected signals using an average complex dielectric constant over the entire radar frequency range led to modeled waveforms comparable to the measured waveforms. Although air- and water-filled voids did distort the reflected waveforms, a model was developed to predict the reflected waveforms from the simulated defects. Reinforcement was found to affect the reflected waveforms only when it was oriented in a direction perpendicular to the GPR antennas. A model was also developed to predict the GPR waveforms obtained from flexible pavements. This model could be used in a procedure to measure layer thicknesses more accurately by including losses that occur inside the pavement materials. Two different case studies, where a ground-coupled GPR system was used to locate moisture at different layers, have led to the conclusion that the ground-coupled GPR is a feasible tool to detect moisture inside pavements. / Ph. D.

The Coles Hill uranium deposit in Pittsylvania County, Virginia represents the largest unmined uranium resource in the United States, with an estimated resource of 110 million pounds of U3O8 in place with a cutoff grade of 0.025 wt% U3O8. The deposit is localized along a geologic unit that parallels the Chatham Fault, which separates the Triassic Danville Basin to the east from the older crystalline rocks to the west. The location of the Chatham Fault is important to understanding distribution of ore and for developing an effective mine plan. In this study the Chatham Fault location has been inferred from ground conductivity and ground penetrating radar (GPR) surveys. Anomalies in the data are consistent with previously mapped fault locations based on drillhole and geophysical data, such as gravity and magnetic surveys, collected in the 1980s. These results confirm that the strike of the Chatham Fault is approximately N40ºE and dips to the southeast with dip values ranging from 70º, in the northeast, to 50º, in the southwest. / Master of Science

Nesta pesquisa, o metodo GPR foi empregado para localizar e mapear urnas funerarias enterradas, visando orientar as escavacoes arqueologicas e auxiliar nas medidas de protecao de sitios arqueologicos na regiao de influencia direta do aproveitamento hidreletrico de Dardanelos, proximo a Aripuana, MT. Um estudo arqueologico previo seria necessario para verificar a presenca de sitios arqueologicos, pois a regiao seria submersa, afetando todo e qualquer possivel artefato presente no sitio. Na area de influencia da usina de hidreletrica ja havia um sitio conhecido, o sitio de Dardanelos, sendo este o objeto da presente pesquisa. Dados GPR obtidos com a antena blindada de 200 MHz foram processados e analisados, e os resultados apresentados na forma de perfis 2D e em 3D na forma de depth-slices. Apos a aquisicao e processamento dos dados foram identificadas as anomalias GPR e interpretadas a fim de identificar os alvos de interesse arqueologico e raizes de arvores, evitando assim, que haja ambiguidade na caracterizacao dos alvos de interesse. A analise 3D gerada a partir dos perfis de reflexao 2D permitiu diferenciar com clareza os alvos de interesse das raizes de arvores, uma vez que nela podemos visualizar um padrao mais alongado ao inves de pontual, como e apresentado quando temos um artefato arqueologico. Ainda, atraves da conversao do tempo de percurso da onda eletromagnetica em profundidade, podemos identificar a profundidade dos alvos. Esta conversao tambem ajuda a esclarecer as ambiguidades, uma vez que as raizes sao mais rasas e os artefatos mais profundos. / In this research, GPR method was used to locate and map buried indigenous urns, aiming to guide and assist the archaeological excavations in order to guide protections acts of archaeological sites in the region directly affected by the hydroelectric of Dardanelos, near to Aripuana, MT. A preliminary archaeological study would be necessary to investigate the presence of archaeological sites, because the area would go underwater, affecting any possible artifact present on the site. In the area of influence of the hydroelectric plant there was already a known site, the site of the Dardanelos, which is the subject of this research. The GPR data obtained with shielded antenna 200 MHz were processed and analyzed, and the results presented as 2D and 3D profiles in the form of depth-slices. After processing the GPR data anomalies were identified and interpreted to identify the targets of archeological interest and roots of trees, thus avoiding ambiguity in the characterization of targets of interest. The 3D analysis generated from the 2D reflection profiles allowed to differentiate clearly the targets of interest from the roots of trees, since they can display a more elongated pattern rather than punctual, as shown when we have an archaeological artifact. Further, by converting the travel time of the electromagnetic wave in depth, we can identify the depth of targets. This conversion also helps to clarify the ambiguities, since the roots are shallower and the artifacts are deeper.

Nesta pesquisa, o metodo GPR foi empregado para localizar e mapear urnas funerarias enterradas, visando orientar as escavacoes arqueologicas e auxiliar nas medidas de protecao de sitios arqueologicos na regiao de influencia direta do aproveitamento hidreletrico de Dardanelos, proximo a Aripuana, MT. Um estudo arqueologico previo seria necessario para verificar a presenca de sitios arqueologicos, pois a regiao seria submersa, afetando todo e qualquer possivel artefato presente no sitio. Na area de influencia da usina de hidreletrica ja havia um sitio conhecido, o sitio de Dardanelos, sendo este o objeto da presente pesquisa. Dados GPR obtidos com a antena blindada de 200 MHz foram processados e analisados, e os resultados apresentados na forma de perfis 2D e em 3D na forma de depth-slices. Apos a aquisicao e processamento dos dados foram identificadas as anomalias GPR e interpretadas a fim de identificar os alvos de interesse arqueologico e raizes de arvores, evitando assim, que haja ambiguidade na caracterizacao dos alvos de interesse. A analise 3D gerada a partir dos perfis de reflexao 2D permitiu diferenciar com clareza os alvos de interesse das raizes de arvores, uma vez que nela podemos visualizar um padrao mais alongado ao inves de pontual, como e apresentado quando temos um artefato arqueologico. Ainda, atraves da conversao do tempo de percurso da onda eletromagnetica em profundidade, podemos identificar a profundidade dos alvos. Esta conversao tambem ajuda a esclarecer as ambiguidades, uma vez que as raizes sao mais rasas e os artefatos mais profundos. / In this research, GPR method was used to locate and map buried indigenous urns, aiming to guide and assist the archaeological excavations in order to guide protections acts of archaeological sites in the region directly affected by the hydroelectric of Dardanelos, near to Aripuana, MT. A preliminary archaeological study would be necessary to investigate the presence of archaeological sites, because the area would go underwater, affecting any possible artifact present on the site. In the area of influence of the hydroelectric plant there was already a known site, the site of the Dardanelos, which is the subject of this research. The GPR data obtained with shielded antenna 200 MHz were processed and analyzed, and the results presented as 2D and 3D profiles in the form of depth-slices. After processing the GPR data anomalies were identified and interpreted to identify the targets of archeological interest and roots of trees, thus avoiding ambiguity in the characterization of targets of interest. The 3D analysis generated from the 2D reflection profiles allowed to differentiate clearly the targets of interest from the roots of trees, since they can display a more elongated pattern rather than punctual, as shown when we have an archaeological artifact. Further, by converting the travel time of the electromagnetic wave in depth, we can identify the depth of targets. This conversion also helps to clarify the ambiguities, since the roots are shallower and the artifacts are deeper.

The problem of sensing a medium by several sensors and retrieving interesting features is a very general one. The basic framework of the problem is generally the same for applications from MRI, tomography, Radar SAR imaging to subsurface imaging, even though the data acquisition processes, sensing geometries and sensed properties are different. In this thesis we introduced a new perspective to the problem of remote sensing and information retrieval by studying the problem of subsurface imaging using GPR and seismic sensors. We have shown that if the sensed medium is sparse in some domain then it can be imaged using many fewer measurements than required by the standard methods. This leads to much lower data acquisition times and better images representing the medium. We have used the ideas from Compressive Sensing, which show that a small number of random measurements about a signal is sufficient to completely characterize it, if the signal is sparse or compressible in some domain. Although we have applied our ideas to the subsurface imaging problem, our results are general and can be extended to other remote sensing applications. A second objective in remote sensing is information retrieval which involves searching for important features in the computed image of the medium. In this thesis we focus on detecting buried structures like pipes, and tunnels in computed GPR or seismic images. The problem of finding these structures in high clutter and noise conditions, and finding them faster than the standard shape detecting methods like the Hough transform is analyzed. One of the most important contributions of this thesis is, where the sensing and the information retrieval stages are unified in a single framework using compressive sensing. Instead of taking lots of standard measurements to compute the image of the medium and search the necessary information in the computed image, a much smaller number of measurements as random projections are taken. The data acquisition and information retrieval stages are unified by using a data model dictionary that connects the information to the sensor data.

Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2003. / No abstract available

Nesta pesquisa de doutorado foi desenvolvida uma metodologia de análise e interpretação de dados GPR (Ground Penetrating Radar) empregando a tomografia de micro-ondas. Esta ferramenta foi empregada com o objetivo de detectar e estimar a geometria de alvos que simulam artefatos comumente encontrados em sítios arqueológicos brasileiros e de um alvo orgânico que simula um corpo humano em decomposição visando estudos forenses sob condições controladas. Os dados de interesse arqueológico foram adquiridos sobre o Sítio Controlado de Geofísica Rasa (SCGR) do IAG/USP. Os dados de interesse forense foram adquiridos sobre um experimento controlado conduzido no campus da USP em Pirassununga (SP), onde um porco de aproximadamente 80 kg foi enterrado e a sua decomposição foi monitorada com o método GPR ao longo de 18 meses. Os cálculos necessários para a execução da inversão dos dados GPR através da tomografia foram implementados em linguagem Matlab, juntamente com ferramentas de remoção de background que se mostraram úteis para auxiliar a interpretação dos resultados. O programa de imageamento tomográfico foi validado a partir de dados sintéticos gerados no software GprMax a partir de modelos que simulam os alvos de interesse arqueológico instalados no SCGR. A geometria dos alvos do SCGR pôde ser bem estimada, exceto pelo alvo representado pelo muro de tijolos. Feições no solo associadas às escavações para instalação dos alvos puderam ser observadas com clareza nas imagens tomográficas. A geometria do porco, bem como o processo de decomposição foram mapeados através da tomografia mesmo em condições de baixo contraste entre as suas propriedades elétricas e as do solo. Em ambos os casos estudados as imagens tomográficas de dados GPR de 270 MHz, 400 MHz e 900 MHz permitiram extrair mais informações acerca dos alvos do que pelo uso do processamento convencional. Os resultados mostram que a tomografia de micro-ondas possui um grande potencial para aplicação em sítios arqueológicos brasileiros, bem como para aplicações forenses. / In this research a methodology for analysis and interpretation of GPR (Ground Penetrating Radar) data using microwave tomography was developed. This tool was used for detection and geometry evaluation of targets which simulate artifacts usually found at Brazilian archaeological sites and also of one organic target which simulates a decomposing human body for forensic studies under controlled conditions. The data of archaeological interest were acquired on the Geophysical Test Site (SCGR) at IAG/USP. The data of forensic interest were acquired on an experiment developed at the USP campus in Pirassununga (SP) city. In this experiment a pig with about 80 kg was buried and its decomposition was monitored through GPR profiles during 18 months. The calculations required for the GPR data inversion through microwave tomography were implemented in Matlab language, with background removal tools which were helpful for the interpretation of resulting images. The tomographic imaging program was validated using synthetic data generated by the software GprMax. The models simulate targets of archaeological interest buried at the SCGR. The geometry was well estimated for all the targets, except for the brick wall. Ground features associated to excavations done for the installation of the targets were clearly observed in the tomographic images. The pig geometry and its decomposition process were mapped through microwave tomography even under conditions of low contrast between its electric properties and those from the soil. In both studied cases the tomographic images from GPR data of 270 MHz, 400 MHz and 900 MHz allowed to extract more information about the targets than just using the conventional processing. The results show that microwave tomography has a great potential to be applied at Brazilian archaeological sites, as well as for forensic applications.