A Large-Sized Multiwire Proportional Counter for Radiological Survey of Large Areas and Surfaces

Työn tavoitteena oli selvittää, miten eri parametrit vaikuttavat monilankaisen verrannollisuuslaskurin laskennallisiin ominaisuuksiin sekä voidaanko suurikokoista monilankaverrannollisuuslaskuria käyttää tehokkaasti suurien pintojen ? - ja ?- kontaminaation mittaamiseen. Ensin selvitettiin EU:n nykyistä clearing-käytäntöä sekä hahmoteltiin tulevia materiaalivirtoja, esiteltiin verrannollisuuslaskurin ja sen monilankamallin toimintaperiaate sekä käytettävien materiaalien ominaisuudet. Kootun teorian pohjalta selvitettiin tärkeimpien parametrien vaikutus ilmaisimen laskennallisiin ominaisuuksiin. Lopuksi suoritettiin rakenteilla olevan monilankaverrannollisuuslaskurin alustava testaus. Tulevien vuosien aikana eri puolilla maailmaa suljettavat erityyppiset ydinlaitokset luovat suuren tarpeen tehokkaiden kontaminaatiomittauslaitteistojen kehittämiselle. Tällä hetkellä mittaukset suoritetaan lähinnä noin 1 dm2 käsi-instrumentein, joten suurikokoinen, automatisoitu mittauslaitteisto sekä tehostaisi mittausprosessia suuresti sekä säästäisi runsaasti miestyötunteja. Jatkotoimenpiteiksi ehdotetaan laitteiston jatkotestausta, liikkeen ja nopeuden testausta sekä lopulta paikkaherkkyystoiminnon toteuttamisperiaatteen valintaa ja testausta.

Ydinvoimalaitoksen nuklidijakauma vaikutus kontaminaatiomittauksiin

Tässä diplomityössä kuvataan Loviisan voimalaitoksen vaihtelevien kontaminaation nuklidijakaumien vaikutusta kontaminaatiomittausten tuloksiin. Nuklidikohtaisten tietojen ja kontaminaation nuklidikoostumuksen selvittämiseen käytettiin epäsuoraa kontaminaationmittausmenetelmää. Valvonta-alueen eri huonetiloista kerättiin pyyhintänäytteitä. Näytteet mitattiin kontaminaatiomittareilla sekä gammaspektrometrisesti radiokemian laboratoriossa. Gamma-analyysissä saatiin selville nuklidikohtaiset aktiivisuudet ja suhteelliset nuklidijakaumat. Kirjallisuudesta etsittiin tiedot kunkin kontaminaatiosta löytyneen nuklidin aktiivisuusominaisuuksille. Säteilyn ilmaisimien havaitsemistehokkuuden energiariippuvuus vaikuttaa kunkin nuklidin mittaustulokseen. Nuklidikohtaisten tietojen sekä tunnettujen energiariippuvuuksien perusteella arvioitiin hiukkasten energiajakauman aiheuttaman mittausvirheen osuutta kullekin nuklidijakaumalle. Tässä tutkimuksessa tarkastellaan lisäksi eri kontaminaatiomittausmenetelmien hyviä ja huonoja puolia. Säteilysuojelutyössä käytetyt kontaminaation mittalaitteet on työssä esitelty ja mittaustarkkuuteen vaikuttavia seikkoja on käsitelty operatiivisen säteilysuojelun kannalta.

Kontaminaatiomittaukset Loviisan voimalaitoksella

Kandidaatintyössä esitellään Loviisan ydinvoimalaitoksella käytössä olevia menetelmiä ja mittalaitteita radioaktiivisen kontaminaation havaitsemiseen ja mittaamiseen.

Lowering the radioactivity of the photomultiplier tubes for the XENON1T dark matter experiment

The low-background, VUV-sensitive 3-inch diameter photomultiplier tube R11410 has been developed by Hamamatsu for dark matter direct detection experiments using liquid xenon as the target material. We present the results from the joint effort between the XENON collaboration and the Hamamatsu company to produce a highly radio-pure photosensor (version R11410-21) for the XENON1T dark matter experiment. After introducing the photosensor and its components, we show the methods and results of the radioactive contamination measurements of the individual materials employed in the photomultiplier production. We then discuss the adopted strategies to reduce the radioactivity of the various PMT versions. Finally, we detail the results from screening 286 tubes with ultra-low background germanium detectors, as well as their implications for the expected electronic and nuclear recoil background of the XENON1T experiment.

Laboratory measurements of biomarkers and individual performances in Chironomus xanthus to evaluate pesticide contamination of sediments in a river of southeastern Brazil

This study aimed at evaluating biomarkers, individual and population responses in the native Chironomus xanthus to assess the toxicity of pesticide-contaminated sediments from the Monjolinho River (Southeast Brazil). We measured cholinesterase (ChE) and glutathione S-transferase activities (GST), as biomarkers and survival, individual growth and adult emergence, as individual performances. There was no response of the ChE activity and a tendency to decreased GST activity in contaminated sites, but this was generally not statistically significant. Therefore, there was no association of the biomarker responses with exposure to sediment containing pesticides. In contrast, ash free dry mass was significantly increased and male emergence was decreased in C. xanthus exposed to the same sediments. In conclusion, the selected biomarkers were not sensitive and specific enough to detect and anticipate effects of pesticide contamination at the levels measured in the study area. Nevertheless, individual performances alterations pointed to potential pollution problems and possible ecological consequences. (C) 2010 Elsevier Inc. All rights reserved.

Implications of specimen preparation and of surface contamination for the measurement of the grain boundary carbon concentration of steels using x-ray microanalysis in an UHVFESTEM

The purpose of the present investigation was to gain an understanding of the nature of the carbon contamination on the surface of standard steel transmission electron spectroscopy (TEM) specimens, the effect of exposure of a clean specimen to normal laboratory air, and the efficacy of plasma-cleaning treatments. This knowledge is a necessary prerequisite to the development of appropriate specimen preparation and/or specimen cleaning methods. X-ray photoelectron spectroscopy in combination with argon ion beam profiling was used to characterize the specimen surfaces of X65 steel and 316 stainless steel. The only clean carbon-free surface obtained was that during argon etching of the sample in the surface analysis chamber. Any exposure of a previously cleaned sample to laboratory air resulted in a rapid carbon (hydrocarbon) contamination of the sample surface and the development of surface oxidation, Plasma cleaning with subsequent exposure of the specimen to the laboratory air also resulted in a carbon-contaminated surface. This suggests that procedures of preparation of TEM specimens of steels outside an ultrahigh vacuum chamber are unlikely to result in the lowering of contamination rates on specimens to levels where measurements for carbon in the grain boundaries are possible. What is needed is a cleaning system as an integral part of the specimen insertion system into the field-emission scanning transmission electron microscope. This cleaning could be carried out by argon ion etching. Copyright (C) 2000 John Wiley & Sons, Ltd.

Environmental impact caused by fungal and particle contamination of Portuguese swine

Social concerns for environmental impact on air, water and soil pollution have grown along with the accelerated growth of pig production. This study intends to characterize air contamination caused by fungi and particles in swine production, and, additionally, to conclude about their eventual environmental impact. Fiftysix air samples of 50 litters were collected through impaction method. Air sampling and particle matter concentration were performed in indoor and also outdoor premises. Simultaneously, temperature and relative humidity were monitored according to the International Standard ISO 7726 – 1998. Aspergillus versicolor presents the highest indoor spore counts (>2000 CFU/m3) and the highest overall prevalence (40.5%), followed by Scopulariopsis brevicaulis (17.0%) and Penicillium sp. (14.1%). All the swine farms showed indoor fungal species different from the ones identified outdoors and the most frequent genera were also different from the ones indoors. The distribution of particle size showed the same tendency in all swine farms (higher concentration values in PM5 and PM10 sizes). Through the ratio between the indoor and outdoor values, it was possible to conclude that CFU/m3 and particles presented an eventual impact in outdoor measurements.

DNA fingerprinting of glioma cell lines and considerations on similarity measurements.

Glioma cell lines are an important tool for research in basic and translational neuro-oncology. Documentation of their genetic identity has become a requirement for scientific journals and grant applications to exclude cross-contamination and misidentification that lead to misinterpretation of results. Here, we report the standard 16 marker short tandem repeat (STR) DNA fingerprints for a panel of 39 widely used glioma cell lines as reference. Comparison of the fingerprints among themselves and with the large DSMZ database comprising 9 marker STRs for 2278 cell lines uncovered 3 misidentified cell lines and confirmed previously known cross-contaminations. Furthermore, 2 glioma cell lines exhibited identity scores of 0.8, which is proposed as the cutoff for detecting cross-contamination. Additional characteristics, comprising lack of a B-raf mutation in one line and a similarity score of 1 with the original tumor tissue in the other, excluded a cross-contamination. Subsequent simulation procedures suggested that, when using DNA fingerprints comprising only 9 STR markers, the commonly used similarity score of 0.8 is not sufficiently stringent to unambiguously differentiate the origin. DNA fingerprints are confounded by frequent genetic alterations in cancer cell lines, particularly loss of heterozygosity, that reduce the informativeness of STR markers and, thereby, the overall power for distinction. The similarity score depends on the number of markers measured; thus, more markers or additional cell line characteristics, such as information on specific mutations, may be necessary to clarify the origin.

Robust Nonlinear Mapping of Soil Contamination Using Support Regression

Spatial data analysis mapping and visualization is of great importance in various fields: environment, pollution, natural hazards and risks, epidemiology, spatial econometrics, etc. A basic task of spatial mapping is to make predictions based on some empirical data (measurements). A number of state-of-the-art methods can be used for the task: deterministic interpolations, methods of geostatistics: the family of kriging estimators (Deutsch and Journel, 1997), machine learning algorithms such as artificial neural networks (ANN) of different architectures, hybrid ANN-geostatistics models (Kanevski and Maignan, 2004; Kanevski et al., 1996), etc. All the methods mentioned above can be used for solving the problem of spatial data mapping. Environmental empirical data are always contaminated/corrupted by noise, and often with noise of unknown nature. That's one of the reasons why deterministic models can be inconsistent, since they treat the measurements as values of some unknown function that should be interpolated. Kriging estimators treat the measurements as the realization of some spatial randomn process. To obtain the estimation with kriging one has to model the spatial structure of the data: spatial correlation function or (semi-)variogram. This task can be complicated if there is not sufficient number of measurements and variogram is sensitive to outliers and extremes. ANN is a powerful tool, but it also suffers from the number of reasons. of a special type ? multiplayer perceptrons ? are often used as a detrending tool in hybrid (ANN+geostatistics) models (Kanevski and Maignank, 2004). Therefore, development and adaptation of the method that would be nonlinear and robust to noise in measurements, would deal with the small empirical datasets and which has solid mathematical background is of great importance. The present paper deals with such model, based on Statistical Learning Theory (SLT) - Support Vector Regression. SLT is a general mathematical framework devoted to the problem of estimation of the dependencies from empirical data (Hastie et al, 2004; Vapnik, 1998). SLT models for classification - Support Vector Machines - have shown good results on different machine learning tasks. The results of SVM classification of spatial data are also promising (Kanevski et al, 2002). The properties of SVM for regression - Support Vector Regression (SVR) are less studied. First results of the application of SVR for spatial mapping of physical quantities were obtained by the authorsin for mapping of medium porosity (Kanevski et al, 1999), and for mapping of radioactively contaminated territories (Kanevski and Canu, 2000). The present paper is devoted to further understanding of the properties of SVR model for spatial data analysis and mapping. Detailed description of the SVR theory can be found in (Cristianini and Shawe-Taylor, 2000; Smola, 1996) and basic equations for the nonlinear modeling are given in section 2. Section 3 discusses the application of SVR for spatial data mapping on the real case study - soil pollution by Cs137 radionuclide. Section 4 discusses the properties of the modelapplied to noised data or data with outliers.

Analyse de l'effet de la contamination du sol sur la croissance et la physiologie de 11 cultivars de Salix

Mon mémoire de maîtrise a été réalisé dans le cadre du projet Génorem (www.genorem.ca), un projet multidisciplinaire qui réunit différents chercheurs de l'Université de Montréal et de l'Université McGill dans le but d'améliorer les techniques utilisées en bioremédiation. Dans le cadre de l'étude, des saules à croissance rapide (Salix sp.) ont été utilisés comme plantes modèles dans l'étude. Ainsi, 11 cultivars de saule ont été suivis afin de déterminer leur potentiel à produire un bon rendement de biomasse, à tolérer des conditions de stress sévère causé par la présence de HAPs (hydrocarbures aromatiques polycycliques) , BPCs (biphényles polychlorés) et d'hydrocarbures pétroliers C10-C50. L'expérimentation consistait en une plantation de saule à forte densité qui a été mise en place en 2011 sur le site d'une ancienne industrie de pétrochimie à Varennes, dans le sud du Québec. Les boutures des génotypes sélectionnés ont été plantées sur une superficie d'environ 5000 m2. Les plantes ont été suivies pendant les deux saisons de croissance suivant le recépage et une série de paramètres de croissance et de mesures physiologiques ont été récoltés (surface foliaire, taux de chlorophylle, conductance stomatique et statut nutritionnel) dans le but d'évaluer et de comparer les performances de chaque génotype sur un sol pollué. Les analyses statistiques ont démontré que le cultivar S. miyabeana (SX61) était le meilleur producteur de biomasse sur le site contaminé, tandis que S. nigra (S05) et S. acutifolia (S54) présentaient la meilleure capacité photosynthétique. S. dasyclados (SV1), S. purpurea (‘Fish Creek’) et S. caprea (S365) ont semblé particulièrement affectés par la présence de contaminants. La capacité d'établissement et la croissance de S. nigra (S05), S. eriocephala (S25) and S. purpurea x S. miyabeana (‘Millbrook’) indiquent une tolérance globale supérieure à la pollution . Cette analyse comparative des différentes réponses physiologiques des saules cultivés sur un sol contaminé pourra guider le processus de sélection de plantes et les techniques de bioremédiation dans les futurs projets de phytoremédiation.

A New Indirect Electroanalytical Method to Monitor the Contamination of Natural Waters with 4-Nitrophenol Using Multiwall Carbon Nanotubes

The electrochemical detection of the hazardous pollutant 4-nitrophenol (4-NP) at low potentials, in order to avoid matrix interferences, is an important research challenge. This study describes the development, electrochemical characterization and utilization of a multiwall carbon nanotube (MWCNT) film electrode for the quantitative determination of 4-NP in natural water. Electrochemical impedence spectroscopy measurements showed that the modified surface exhibits a decrease of ca. 13 times in the charge transfer resistance when compared with a bare glassy carbon (GC) surface. Voltammetric experiments showed the possibility to oxidize a hydroxylamine layer (produced by the electrochemical reduction of 4-NP on the GC/MWNCT surface) in a potential region which is approximately 700 mV less positive than that needed to oxidize 4-NP, thus minimizing the interference of matrix components. The limit of detection for 4-NP obtained using square-wave voltammetry (0.12 mu mol L(-1)) was lower than the value advised by EPA. A natural water sample from a dam located in Sao Carlos (Brazil) was spiked with 4-NP and analyzed by the standard addition method using thee GC/MWCNT electrode, without any further purification step. the recovery procedure yielded a value of 96.5% for such sample, thus confirming the suitability of the developed method to determine 4-NP in natural water samples. The electrochemical determination was compared with that obtained by HPLC with UV-vis detection.

MIGRATION MEASUREMENTS FROM PLASTIC PACKAGING: A SIMULATION STUDY ON INFLUENCE OF INITIAL CONCENTRATION PROFILE

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Some possible evolutionary scenarios suggested by Cl-36 measurements in Guarani aquifer groundwaters

The Guarani aquifer underlies 1.2 M km(2) in the Parana sedimentary basin of South America and is an important source of water for industry, agriculture, and domestic supplies. To determine the sustainability of this aquifer we need to understand the dynamics of the groundwater system. This paper describes the first Cl-36 measurements on aquifer groundwaters and some measurements on South American rainwaters, thought to be indicative of the recharge water. The results are compared to previous work in the region, including other radioisotope analyses. A simple model is developed, incorporating radioactive decay, allowing scenarios to be developed for mixing different waters at different mixing rates. Thus, mixing scenarios consistent with other hydrogeological and hydrogeochemical data could be assessed. A model that mixes fresh recharging waters with formational waters, that contain elevated chloride levels, but low (in situ) Cl-36 levels, can explain most of the results presented here. The expectation that rainwater samples would provide a good end-member for modelling recharge proved problematic, however. As a consequence, it is suggested that either: the recharge waters are not sourced from the same locations as the rains; that the current rainfall and fallout conditions were significantly different in the past; or that the low levels of chloride in rainfall may have allowed some contamination of the samples by old (Cl-36-free) chloride during the recharge process. (c) 2008 Elsevier Ltd. All rights reserved.

Initial concentration profile influence on migration measurements from plastic packaging: A simulation study

Migration of components from plastic packaging into foodstuffs or into medicines is a very important issue, concerning public health. Using experimental techniques, like gas chromatography-mass spectrometry, these essays measure total migration and specific migration of components from plastic packaging. This work presents an explanation and applications of a numerical technique tool for this measurement, allowing the comprehension of the diffusion process and the estimate of component migration in difficult or impractical measurements. As an application example, the non-uniform influence of initial concentration profile on the migration is presented, demonstrating the necessity of this profile determination for high quality considerations on involved metrology.

The use of radon (Rn-222) and volatile organic compounds in monitoring soil gas to localize NAPL contamination at a gas station in Rio Claro, Sao Paulo State, Brazil

This study focuses on the presence of radon (Rn-222) and volatile organic compounds (VOCs) in soil gases at a gas station located in the city of Rio Claro, Sao Paulo, Brazil, where a fossil fuel leak occurred. The spatial distribution results show a correlation between Rn-222 and VOCs, consistent with the fact that radon gas has a greater chemical affinity with organic phases than with water. This finding demonstrates that the presence of a residual hydrocarbon phase in an aquifer can retain radon, leading to a reduced radon content in the soil gas. The data in this study confirm the results of previous investigations, in which the method used in this study provided a preliminary fingerprint of a contaminated area. Furthermore, the data analysis time is brief, and only simple equipment is required. (C) 2014 Published by Elsevier Ltd.