Radon is a naturally occurring radioactive element in the 238U decay series that is found in high concentrations in certain geological formations such as Caves. Exposure to high concentrations of radon has been positively linked to the incidence<br /> of lung cancer. This study used Electret ion chambers and the RAD7 continuous radon monitor to measure radon concentrations in the Cango Caves in the Western Cape Province, South Africa. Measurements were taken during summer i.e. February 2004 and March 2005. The results for the radon activity concentrations range from the minimum of<br /> about 800 Bq.m-3 to a maximum of 2600 Bq.m-3. The two techniques give very similar results, though the Electret ion chamber results appear to be consistently higher by a few percent where measurements were taken at the same locations. A<br /> mathematical model has been developed to investigate the radon concentrations in the Cave. Diffusion and ventilation have been considered as mechanisms for explaining the distribution of radon concentrations. The ventilation rate in the Cave has been estimated under certain assumptions, and it is found to be about 7 &times / 10&minus / 6 s&minus / 1 for the Van Zyl hall which is the first large chamber in the Cave. The radon concentration increases as one goes deeper into the Cave, but then becomes fairly constant for the deeper parts. The annual effective dose that the guides are exposed to in the Cave as a result of the radon concentrations, depends strongly on the time that they spend in the Cave and in which, halls they spend most of their time in the Cave. The initial results indicate an annual effective dose of 4-10 mSv, but this needs to be further investigated.

Functionally graded materials (FGMs) are inhomogeneous materials in which the material properties vary with respect to space. Research has been done by scientific community in developing techniques like photothermal radiometry (PTR) to measure the thermal conductivity and volumetric heat capacity of FGMs. One of the problems involved in the technique is to solve the inverse problem, i.e., estimating the thermal properties after the frequency scan has been obtained. The present work involves finding the unknown thermal conductivity and volumetric heat capacity of the FGMs by using finite volume method. By taking the flux entering the sample as periodic and solving the discretized 1-D thermal wave field equation at a frequency domain, one can obtain the complex temperatures at the surface of the sample for each frequency. These complex temperatures when solved for a range of frequencies gives the phase vs frequency scan which can then be compared to original frequency scan obtained from the PTR experiment by using a residual function. Brute force and gradient descent optimization methods have been implemented to estimate the unknown thermal conductivity and volumetric specific heat of the FGMs through minimization of the residual function. In general, the spatial composition profile of the FGMs can be approximated by using a smooth curve. Three functional forms namely Arctangent curve, Hermite curve, and Bezier curve are used in approximating the thermal conductivity and volumetric heat capacity distributions in the FGMs. The use of Hermite and Bezier curves gives the flexibility to control the slope of the curve i.e. the thermal property distribution along the thickness of the sample. Two-layered samples with constant thermal properties and three layered samples in which one of the layer has varying thermal properties with respect to thickness are considered. The program is written in Fortran and several test runs are performed. Results obtained are close to the original thermal property values with some deviation based on the stopping criteria used in the gradient descent algorithm. Calculating the gradients at each iteration takes considerable amount of time and if these gradient values are already available, the problem can be solved at a faster rate. One of the methods is extending automatic differentiation to complex numbers and calculating the gradient values ahead; this is left for future work.

Objective: To determine if paternal preconception exposure to ionizing radiation through uranium mining increases the risk of congenital anomaly (CA) in offspring. Methods: A population-based matched case-control study was conducted. Cases were infants with CAs recorded in the Canadian Congenital Anomalies Surveillance System and born alive in Ontario 1979-86 (ICD-9 codes 740-759); controls were liveborn infants without CAs identified from Ontario birth certificates and individually matched to cases (case-control file {CCF}). Exposed fathers were identified through the linkage of the CCF to the Mining Master File or the National Dose Registry file, which include those who worked in Ontario uranium mines 1952-1986. For men who linked with a case or control child, radon, gamma and total gonadal doses were estimated for three preconception periods: entire, 3-months and 6-months. Odds ratios were estimated using conditional logistic regression. Results: Linkage of 28,991 uranium miners and 40,482 case-control pairs of fathers and offspring in the CCF identified 431 discordant pairs. There was no evidence of increased risk of a child having a CA if the father was ever a uranium miner before conception of the child (OR=0.89, 95% CI=0.74–1.08). Since gamma radiation (especially during the 6-month preconception period) is more biologically relevant to gonads than radon, further analyses were performed on 117 discordant pairs where data on gamma exposures were available. When ever/never miner, exposed to gamma (yes/no), and gamma dose-response variables were all in the model, there was no ever/never miner effect (OR=1.20, 95% CI=0.85–1.69, p-value=0.30), an inverse association for exposure to gamma (OR=0.42, 95% CI=0.25–0.71, p-value=0.001), but most importantly, there was no statistically significant dose-response relationship between gamma dose during the 6-month preconception period and all CAs (OR=1.15 per loge {mSv+0.01}, 95% CI=0.83–1.59, p-value=0.40). Similarly, no dose-response relationship was observed for exposure to gamma radiation in the 3-month preconception period, or for radon or total gonadal radiation in the 3- or 6-month preconception periods. Conclusion: There was no increased risk of a CA among liveborn children of Ontario uranium miners who were exposed to radon, gamma or total radiation during the 3- or 6-month periods before conception.

Objective: To determine if paternal preconception exposure to ionizing radiation through uranium mining increases the risk of congenital anomaly (CA) in offspring. Methods: A population-based matched case-control study was conducted. Cases were infants with CAs recorded in the Canadian Congenital Anomalies Surveillance System and born alive in Ontario 1979-86 (ICD-9 codes 740-759); controls were liveborn infants without CAs identified from Ontario birth certificates and individually matched to cases (case-control file {CCF}). Exposed fathers were identified through the linkage of the CCF to the Mining Master File or the National Dose Registry file, which include those who worked in Ontario uranium mines 1952-1986. For men who linked with a case or control child, radon, gamma and total gonadal doses were estimated for three preconception periods: entire, 3-months and 6-months. Odds ratios were estimated using conditional logistic regression. Results: Linkage of 28,991 uranium miners and 40,482 case-control pairs of fathers and offspring in the CCF identified 431 discordant pairs. There was no evidence of increased risk of a child having a CA if the father was ever a uranium miner before conception of the child (OR=0.89, 95% CI=0.74–1.08). Since gamma radiation (especially during the 6-month preconception period) is more biologically relevant to gonads than radon, further analyses were performed on 117 discordant pairs where data on gamma exposures were available. When ever/never miner, exposed to gamma (yes/no), and gamma dose-response variables were all in the model, there was no ever/never miner effect (OR=1.20, 95% CI=0.85–1.69, p-value=0.30), an inverse association for exposure to gamma (OR=0.42, 95% CI=0.25–0.71, p-value=0.001), but most importantly, there was no statistically significant dose-response relationship between gamma dose during the 6-month preconception period and all CAs (OR=1.15 per loge {mSv+0.01}, 95% CI=0.83–1.59, p-value=0.40). Similarly, no dose-response relationship was observed for exposure to gamma radiation in the 3-month preconception period, or for radon or total gonadal radiation in the 3- or 6-month preconception periods. Conclusion: There was no increased risk of a CA among liveborn children of Ontario uranium miners who were exposed to radon, gamma or total radiation during the 3- or 6-month periods before conception.

This study set out to examine the levels of galactic cosmic radiation exposure to Australian aircrew during routine flight operations, with particular attention to the high southern latitude flights between Australia and South Africa. Latitudes as high as 65?? South were flown to gain the data and are typical of the normal flight routes flown between Sydney and Johannesburg on a daily basis. In achieving this objective it became evident that suitable commercially available radiation monitoring equipment was not readily available and scientific radiation monitors were sourced from overseas research facilities to compliment my own FH4lB and Liulin monitors provided by UNSW. At the same time it became apparent that several predictive codes had been developed to attempt to model the radiation doses received by aircrew based on flight route, latitudes and altitudes. Further, it became apparent that these codes had not been subjected to verification at high southern latitudes and that they had not been validated for the effects of solar particle events. Initially measurements were required at the high latitudes followed by mid-latitude data to further balance the PCAIRE code to ensure reasonableness of results for both equatorial and high latitudes. Whilst undertaking this study new scientific monitors became available which provided an opportunity to observe comparative data and results. The Liulin, QDOS and a number of smaller personal dosimeters were subsequently obtained and evaluated. This appears to be the first time that such an extensive cross comparison of these monitors has been conducted over such a wide range of latitudes and altitudes. During the course of this study a fortuitous encounter with GLE 66 enabled several aspects of code validation to be examined, namely the inability of predictive codes to estimate the increased dose associated with a GLE or the effects of a Forbush decrease on the code results. Finally I review the known biological effects as discussed by numerous authors based on current epidemiological studies, with a view to high-lighting were the advent of future technology in aviation may project aircrew dose levels.

This diploma thesis is focused on development and initial run of a measurement system whose aim is to measure photovoltaic panel efficiency. Experimental photovoltaic panel is installed outside the laboratory. Measurement system consists of the solar radiation measurement module (pyranometer), photovoltaic panel load module (panel power measurement) and panel climate measurement module. Data from measurement module is being captured via control computer for subsequent analysis of panel efficiency and climatic impacts on it.