Major influencing factors of indoor radon concentrations in Switzerland.

PURPOSE: In Switzerland, nationwide large-scale radon surveys have been conducted since the early 1980s to establish the distribution of indoor radon concentrations (IRC). The aim of this work was to study the factors influencing IRC in Switzerland using univariate analyses that take into account biases caused by spatial irregularities of sampling. METHODS: About 212,000 IRC measurements carried out in more than 136,000 dwellings were available for this study. A probability map to assess risk of exceeding an IRC of 300 Bq/m(3) was produced using basic geostatistical techniques. Univariate analyses of IRC for different variables, namely the type of radon detector, various building characteristics such as foundation type, year of construction and building type, as well as the altitude, the average outdoor temperature during measurement and the lithology, were performed comparing 95% confidence intervals among classes of each variable. Furthermore, a map showing the spatial aggregation of the number of measurements was generated for each class of variable in order to assess biases due to spatially irregular sampling. RESULTS: IRC measurements carried out with electret detectors were 35% higher than measurements performed with track detectors. Regarding building characteristics, the IRC of apartments are significantly lower than individual houses. Furthermore, buildings with concrete foundations have the lowest IRC. A significant decrease in IRC was found in buildings constructed after 1900 and again after 1970. Moreover, IRC decreases at higher outdoor temperatures. There is also a tendency to have higher IRC with altitude. Regarding lithology, carbonate rock in the Jura Mountains produces significantly higher IRC, almost by a factor of 2, than carbonate rock in the Alps. Sedimentary rock and sediment produce the lowest IRC while carbonate rock from the Jura Mountains and igneous rock produce the highest IRC. Potential biases due to spatially unbalanced sampling of measurements were identified for several influencing factors. CONCLUSIONS: Significant associations were found between IRC and all variables under study. However, we showed that the spatial distribution of samples strongly affected the relevance of those associations. Therefore, future methods to estimate local radon hazards should take the multidimensionality of the process of IRC into account.

Implementació d’un sistema xat multiprotocol fent servir el llenguatge de programació ERLANG

Construcció d’una aplicació amb un llenguatge de programació concurrent i distribuït anomenat Erlang. Erlang és un llenguatge de programació funcional amb avaluació estricta, és a dir, assignació única i que inclou una màquina virtual. L’aplicació desenvolupada ha estat la programació d’un xat multiprotocol, el qual s’ha realitzat una primera part que ha consistit en el construcció d’un servidor per la xarxa local i el seu corresponent client. Llavors per poder fer un client més funcional i útil s’ha implementat un altre protocol, IRC. Al tractar-se d’un llenguatge espacialment dissenyat per treballar en processos s’ha intentat dissenyar d’una manera la qual es pugés aprofitar aquesta qualitat

Inferring ultraviolet anatomical exposure patterns while distinguishing the relative contribution of radiation components

Exposure to solar ultraviolet (UV) radiation is the main causative factor for skin cancer. UV exposure depends on environmental and individual factors, but individual exposure data remain scarce. While ground UV irradiance is monitored via different techniques, it is difficult to translate such observations into human UV exposure or dose because of confounding factors. A multi-disciplinary collaboration developed a model predicting the dose and distribution of UV exposure on the basis of ground irradiation and morphological data. Standard 3D computer graphics techniques were adapted to develop a simulation tool that estimates solar exposure of a virtual manikin depicted as a triangle mesh surface. The amount of solar energy received by various body locations is computed for direct, diffuse and reflected radiation separately. Dosimetric measurements obtained in field conditions were used to assess the model performance. The model predicted exposure to solar UV adequately with a symmetric mean absolute percentage error of 13% and half of the predictions within 17% range of the measurements. Using this tool, solar UV exposure patterns were investigated with respect to the relative contribution of the direct, diffuse and reflected radiation. Exposure doses for various body parts and exposure scenarios of a standing individual were assessed using erythemally-weighted UV ground irradiance data measured in 2009 at Payerne, Switzerland as input. For most anatomical sites, mean daily doses were high (typically 6.2-14.6 Standard Erythemal Dose, SED) and exceeded recommended exposure values. Direct exposure was important during specific periods (e. g. midday during summer), but contributed moderately to the annual dose, ranging from 15 to 24% for vertical and horizontal body parts, respectively. Diffuse irradiation explained about 80% of the cumulative annual exposure dose.

PLANEAMENTO FISCAL

A presente dissertação apresenta como objeto de estudo o Planeamento Fiscal, como uma ferramenta de gestão e não como uma ferramenta de evasão fiscal. Durante a elaboração desta dissertação poder-se-á ver que o sistema fiscal português aceita e até compactua com determinadas práticas de Planeamento Fiscal, como se pode verificar nos casos das deduções à coleta, das isenções e dos benefícios fiscais que a lei atribui. De modo a perceber o tema e o seu enquadramento no sistema fiscal português o primeiro capítulo é dedicado a uma análise genérica deste sistema e da sua evolução entre outras questões pertinentes. Deste capítulo dois subcapítulos são dedicadas exclusivamente ao IRC mais especificamente a tributação dos residentes e dos não residentes. A dissertação começa a definir-se nestes dois subcapítulos Tributação dos Residentes e a Tributação dos não Residentes. Com estes dois subcapítulos começa a perceber-se que o planeamento fiscal é um fenómeno mundial e que vai além deduções a coleta, das isenções e dos benefícios fiscais atribuídos pela legislação nacional. Após perceber o sistema fiscal português, partimos para uma análise do tema planeamento fiscal. Na análise do tema iremos verificar as principais questões que estão na origem da elaboração de um plano fiscal. Durante esta análise levanta-se a questão da legitimidade do planeamento a confusão com outros conceitos e também a problemática dos paraísos fiscais e do planeamento fiscal internacional.

Extratores de silício disponível em escórias e fertilizantes

Os métodos para quantificar o silício (Si) disponível em fertilizantes e escórias não têm sido confiáveis até o momento. Neste estudo, determinou-se o Si extraído de diversas fontes, utilizando como extratores: Na2CO3 + NH4NO3, variando concentração, tempo de agitação e de reação; água; HCl 0,5 mol dm-3; Na2CO3 a 50 g dm-3; ácido cítrico a 50 g dm-3; ácido acético 0,5 mol dm-3; resina trocadora de cátions (Amberlite IRC-50, pK 6,1), além do método da coluna de lixiviação. Paralelamente, desenvolveu-se um experimento em casa de vegetação, com arroz irrigado, com aplicação de 125 kg ha-1 de Si total, proveniente de 12 fontes. O tempo de agitação mostrou não ser fundamental na determinação do Si, embora o resultado de três horas tenha sido superior estatisticamente aos demais. As concentrações de 10 + 16 g dm-3 e 30 + 48 g dm-3 de Na2CO3 + NH4NO3 mostraram-se as mais promissoras na extração de Si; por isso a menor concentração (10 + 16 g dm-3) foi escolhida para avaliar as fontes quanto ao tempo de repouso. Durante o período de repouso, verificou-se que todas as fontes apresentaram aumento na liberação de Si ao longo do tempo, tendo o período de 5 a 9 dias apresentado melhor correlação entre o Si extraído pelo arroz e o Si recuperado na análise das várias fontes. A extração com Na2CO3 + NH4NO3 dos fertilizantes com Si pode representar, com um bom grau de confiabilidade, o potencial de liberação deste elemento no solo e aproveitamento pelas plantas. As fontes mais eficientes na liberação de Si para o arroz foram a Rhodia, seguida da Wollastonita, enquanto as fontes MB-4 e escórias de alto-forno foram as que menos liberaram Si. Os extratores ácidos demonstraram ser mais eficientes na extração de Si das escórias de alto-forno e pouco eficientes com a Wollastonita. A água foi o extrator com a menor taxa de recuperação de Si das fontes testadas. Os extratores que apresentaram melhores correlações entre o Si recuperado e o Si extraído pela cultura do arroz foram a resina Amberlite e o Na2CO3 10 g dm-3 + NH4NO3 16 g dm-3, seguidos pela coluna de lixiviação.

Haemodialysis acutely reduces the plasma levels of ADMA without reversing impaired NO-dependent vasodilation

Rapport de synthèse : Introduction: la prévalence de l'insuffisance rénale chronique (IRC) augmente et malgré les traitements de remplacement rénal telle que la transplantation ou la dialyse, la mortalité chez des patients atteints d'une IRC reste très élevée. Les maladies cardiovasculaires sont la cause principale de mortalité chez ces patients, et le risque de décès dú à une complication cardiovasculaire est chez eux accru de 10 à 20 fois par rapport à la population générale. Méme si les facteurs de risque cardiovasculaires «traditionnels », principalement l'hypertension artérielle et le diabète sont très prévalents chez les patients avec IRC, ils sont insuffisants pour expliquer l'excès de mortalité cardiovasculaire. D'autres facteurs de risques « nontraditionnels » comme l'accumulation du diméthylarginine asymétrique (ADMA), un inhibiteur endogène de la synthase d'oxyde d'azote (NO), semblent aussi être importants. Chez les patients avec IRC, des taux élevés d'ADMA sont un puissant facteur prédictif indépendant de la mortalité cardiovasculaire. Il a également été démontré chez des souris que l'ADMA peut étre une cause directe de dysfonction endothéliale. Cette dernière joue un rôle primordial dans le développement de l'athérosclérose, cause principale des complications cardiovasculaires. Le but du présent travail est de tester l'hypothèse qu'une réduction du taux d'ADMA après une séance unique d'hémodialyse améliore la dysfonction endothéliale. Méthodes: la dysfonction endothéliale peut être évaluée dans les microvaisseaux de la péan de façon non invasive par fluxmétrie laser Doppler. La vasodilatation cutanée induite par un échauffement local de 34° à 41 °C (hyperémie thermique) est connue pour être dépendante de la production endothéliale de NO et a été utilisée dans plusieurs études cliniques pour évaluer la dysfonction endothéliale. Nous avons recruté 24 patients traités par hémodialyse chronique et également 24 sujets contrôles du même âge et sexe. Chez les patients dialysés, l'hyperémie thermique est mesuré une fois directement avant une séance d'hémodialyse, et une fois directement après une autre séance, toutes deux distantes de 2 à 7 jours. En même temps, les taux plasmatiques d'ADMA sont mesurés par la méthode de spectrométrie de masse en tandem. Chez les sujets contrôle, l'hyperémie thermique est également mesurée à deux reprises, à un intervalle de 2 à 7 jours comme chez les patients dialysés et les taux d'ADMA sont déterminés qu'une seule fois. Résultats: chez les patients dialysés, les réactions d'hyperémie thermique étaient superposables avant et après dialyse, mais moindre que chez les sujets contrôles. Par contre, les taux d'ADMA étaient plus élevés avant qu'après dialysé. Les taux d'ADMA après dialyse étaient similaires aux taux chez les sujets contrôles. Conclusion: cette étude montre que la vasodilatation dépendante de la production endothéliale de NO dans la microcirculation cutanée n'est pas influencée par les taux plasmatiques d'ADMA chez les patients dialysés. Ces résultats suggèrent que d'autres mécanismes sont responsables de la dysfonction endothéliale chez ces patients. Ceci met en question le concept que l'accumulation d'ADMA est un facteur causal du risque cardiovasculaire élevé et suggère que l'ADMA est juste un marqueur du milieu très athérogénique causé par l'IRC.

Índice relativo de clorofila e o estado nutricional em nitrogênio durante o ciclo do cafeeiro fertirrigado

O clorofilômetro (SPAD-502, Minolta) é um aparelho portátil que permite obtenção do índice relativo de clorofila (IRC) de modo simples, rápido e não destrutivo no próprio campo, o qual se correlaciona com a concentração de N em várias culturas, e que pode tornar mais rápida a correção de deficiência, otimizando a utilização da fertirrigação. Objetivou-se com este trabalho verificar se o IRC pode ser indicativo do estado nutricional em N, podendo auxiliar no ajuste da fertirrigação nitrogenada durante o ciclo do cafeeiro. O experimento foi desenvolvido em Botucatu, SP, em área com cafeeiros do cultivar Catuaí Vermelho, com dois anos, no espaçamento de 2,5 x 0,8 m e irrigado por gotejamento. O delineamento experimental utilizado foi em blocos casualizados, com quatro repetições, aplicando-se um tratamento sem adubação, mas com irrigação, e mais quatro tratamentos utilizando fertirrigação com 33, 66, 100 e 133 % da dose de N recomendada, parcelada semanalmente (52,8; 105,6; 160,0; e 212,7 kg ha-1, respectivamente). O IRC aumentou linearmente com as doses de N, e a produtividade correlacionou-se significativamente com o IRC, do florescimento até a colheita, porém não com a concentração de N foliar. Os IRCs nos cafeeiros com maior produtividade foram de 81,5 a 83,2 (florescimento e início de expansão dos frutos), de 76,2 a 78,3 (expansão dos frutos), de 68,3 a 69,8 (início da granação), de 64,0 a 65,9 (na granação) e de 61,7 a 62,7 unidades SPAD (na maturação). O clorofilômetro pode ser utilizado para definir a probabilidade de resposta ao N no decorrer do ciclo do cafeeiro.

Insuffisance rénate chronique: attitudes et pratiques de dépistages en l'absence d'etudes randomisées. [Chronic kidney disease: screening attitude and practice in the absence of randomized controlled trials].

Au vu de l'augmentation de la prévalence de l'insuffisance rénale chronique (IRC), une détection précoce a été proposée. Certaines organisations de santé proposent des mesures de détection précoce (par exemple : taux de filtration glomérulaire). L'efficacité du dépistage de l'IRC n'est cependant pas connue puisqu'aucune étude randomisée contrôlée n'a été conduite. Si le test de dépistage de l'IRC est simple et peu onéreux, un dépistage n'est justifié que s'il améliore le pronostic par rapport à l'absence de dépistage avec un rapport risques-bénéfices favorable et un rapport coût-efficacité acceptable. Sur la base d'études observationnelles et de modèles de rapport coût-efficacité, le dépistage de l'IRC doit être proposé chez les patients hypertendus et/ou diabétiques mais pas dans la population générale. [Abstract] Given the increasing prevalence of chronic kidney disease (CKD), early detection has been proposed. Some organizations recommend CKD screening. Yet, the efficacy of CKD screening is unknown given the absence of randomized controlled trial conducted so far. While CKD screening tests (e.g., glomerular filtration rate) are simple and inexpensive, CKD screening can only be justified if it reduces CKD-related mortality and/or CKD-related morbidity compared to no screening. In addition, CKD screening must provide more benefits than risks to the participants and must be cost-effective. Based on observational studies and cost-effectiveness models, CKD screening has to be proposed to high risk population (patients with hypertension and/or diabetes) but not to the general population.

Machine learning analysis and modeling of interest rate curves

The present research deals with the review of the analysis and modeling of Swiss franc interest rate curves (IRC) by using unsupervised (SOM, Gaussian Mixtures) and supervised machine (MLP) learning algorithms. IRC are considered as objects embedded into different feature spaces: maturities; maturity-date, parameters of Nelson-Siegel model (NSM). Analysis of NSM parameters and their temporal and clustering structures helps to understand the relevance of model and its potential use for the forecasting. Mapping of IRC in a maturity-date feature space is presented and analyzed for the visualization and forecasting purposes.

Predictive analysis and mapping of indoor radon concentrations in Switzerland

It is estimated that around 230 people die each year due to radon (222Rn) exposure in Switzerland. 222Rn occurs mainly in closed environments like buildings and originates primarily from the subjacent ground. Therefore it depends strongly on geology and shows substantial regional variations. Correct identification of these regional variations would lead to substantial reduction of 222Rn exposure of the population based on appropriate construction of new and mitigation of already existing buildings. Prediction of indoor 222Rn concentrations (IRC) and identification of 222Rn prone areas is however difficult since IRC depend on a variety of different variables like building characteristics, meteorology, geology and anthropogenic factors. The present work aims at the development of predictive models and the understanding of IRC in Switzerland, taking into account a maximum of information in order to minimize the prediction uncertainty. The predictive maps will be used as a decision-support tool for 222Rn risk management. The construction of these models is based on different data-driven statistical methods, in combination with geographical information systems (GIS). In a first phase we performed univariate analysis of IRC for different variables, namely the detector type, building category, foundation, year of construction, the average outdoor temperature during measurement, altitude and lithology. All variables showed significant associations to IRC. Buildings constructed after 1900 showed significantly lower IRC compared to earlier constructions. We observed a further drop of IRC after 1970. In addition to that, we found an association of IRC with altitude. With regard to lithology, we observed the lowest IRC in sedimentary rocks (excluding carbonates) and sediments and the highest IRC in the Jura carbonates and igneous rock. The IRC data was systematically analyzed for potential bias due to spatially unbalanced sampling of measurements. In order to facilitate the modeling and the interpretation of the influence of geology on IRC, we developed an algorithm based on k-medoids clustering which permits to define coherent geological classes in terms of IRC. We performed a soil gas 222Rn concentration (SRC) measurement campaign in order to determine the predictive power of SRC with respect to IRC. We found that the use of SRC is limited for IRC prediction. The second part of the project was dedicated to predictive mapping of IRC using models which take into account the multidimensionality of the process of 222Rn entry into buildings. We used kernel regression and ensemble regression tree for this purpose. We could explain up to 33% of the variance of the log transformed IRC all over Switzerland. This is a good performance compared to former attempts of IRC modeling in Switzerland. As predictor variables we considered geographical coordinates, altitude, outdoor temperature, building type, foundation, year of construction and detector type. Ensemble regression trees like random forests allow to determine the role of each IRC predictor in a multidimensional setting. We found spatial information like geology, altitude and coordinates to have stronger influences on IRC than building related variables like foundation type, building type and year of construction. Based on kernel estimation we developed an approach to determine the local probability of IRC to exceed 300 Bq/m3. In addition to that we developed a confidence index in order to provide an estimate of uncertainty of the map. All methods allow an easy creation of tailor-made maps for different building characteristics. Our work is an essential step towards a 222Rn risk assessment which accounts at the same time for different architectural situations as well as geological and geographical conditions. For the communication of 222Rn hazard to the population we recommend to make use of the probability map based on kernel estimation. The communication of 222Rn hazard could for example be implemented via a web interface where the users specify the characteristics and coordinates of their home in order to obtain the probability to be above a given IRC with a corresponding index of confidence. Taking into account the health effects of 222Rn, our results have the potential to substantially improve the estimation of the effective dose from 222Rn delivered to the Swiss population.

Integrated application of geochemical and geophysical methods for hydrogeological impact assessment for tunneling in fractured rock

The interaction of tunneling with groundwater is a problem both from an environmental and an engineering point of view. In fact, tunnel drilling may cause a drawdown of piezometric levels and water inflows into tunnels that may cause problems during excavation of the tunnel. While the influence of tunneling on the regional groundwater systems may be adequately predicted in porous media using analytical solutions, such an approach is difficult to apply in fractured rocks. Numerical solutions are preferable and various conceptual approaches have been proposed to describe and model groundwater flow through fractured rock masses, ranging from equivalent continuum models to discrete fracture network simulation models. However, their application needs many preliminary investigations on the behavior of the groundwater system based on hydrochemical and structural data. To study large scale flow systems in fractured rocks of mountainous terrains, a comprehensive study was conducted in southern Switzerland, using as case studies two infrastructures actually under construction: (i) the Monte Ceneri base railway tunnel (Ticino), and the (ii) San Fedele highway tunnel (Roveredo, Graubiinden). The chosen approach in this study combines the temporal and spatial variation of geochemical and geophysical measurements. About 60 localities from both surface and underlying tunnels were temporarily and spatially monitored during more than one year. At first, the project was focused on the collection of hydrochemical and structural data. A number of springs, selected in the area surrounding the infrastructures, were monitored for discharge, electric conductivity, pH, and temperature. Water samples (springs, tunnel inflows and rains) were taken for isotopic analysis; in particular the stable isotope composition (δ2Η, δ180 values) can reflect the origin of the water, because of spatial (recharge altitude, topography, etc.) and temporal (seasonal) effects on precipitation which in turn strongly influence the isotopic composition of groundwater. Tunnel inflows in the accessible parts of the tunnels were also sampled and, if possible, monitored with time. Noble-gas concentrations and their isotope ratios were used in selected locations to better understand the origin and the circulation of the groundwater. In addition, electrical resistivity and VLF-type electromagnetic surveys were performed to identify water bearing fractures and/or weathered areas that could be intersected at depth during tunnel construction. The main goal of this work was to demonstrate that these hydrogeological data and geophysical methods, combined with structural and hydrogeological information, can be successfully used in order to develop hydrogeological conceptual models of the groundwater flow in regions to be exploited for tunnels. The main results of the project are: (i) to have successfully tested the application of electrical resistivity and VLF-electromagnetic surveys to asses water-bearing zones during tunnel drilling; (ii) to have verified the usefulness of noble gas, major ion and stable isotope compositions as proxies for the detection of faults and to understand the origin of the groundwater and its flow regimes (direct rain water infiltration or groundwater of long residence time); and (iii) to have convincingly tested the combined application of a geochemical and geophysical approach to assess and predict the vulnerability of springs to tunnel drilling. - L'interférence entre eaux souterraines et des tunnels pose des problèmes environnementaux et de génie civile. En fait, la construction d'un tunnel peut faire abaisser le niveau des nappes piézométriques et faire infiltrer de l'eau dans le tunnel et ainsi créer des problème pendant l'excavation. Alors que l'influence de la construction d'un tunnel sur la circulation régionale de l'eau souterraine dans des milieux poreux peut être prédite relativement facilement par des solution analytiques de modèles, ceci devient difficile dans des milieux fissurés. Dans ce cas-là, des solutions numériques sont préférables et plusieurs approches conceptuelles ont été proposées pour décrire et modéliser la circulation d'eau souterraine à travers les roches fissurées, en allant de modèles d'équivalence continue à des modèles de simulation de réseaux de fissures discrètes. Par contre, leur application demande des investigations importantes concernant le comportement du système d'eau souterraine basées sur des données hydrochimiques et structurales. Dans le but d'étudier des grands systèmes de circulation d'eau souterraine dans une région de montagnes, une étude complète a été fait en Suisse italienne, basée sur deux grandes infrastructures actuellement en construction: (i) Le tunnel ferroviaire de base du Monte Ceneri (Tessin) et (ii) le tunnel routière de San Fedele (Roveredo, Grisons). L'approche choisie dans cette étude est la combinaison de variations temporelles et spatiales des mesures géochimiques et géophysiques. Environs 60 localités situées à la surface ainsi que dans les tunnels soujacents ont été suiviès du point de vue temporel et spatial pendant plus de un an. Dans un premier temps le projet se focalisait sur la collecte de données hydrochimiques et structurales. Un certain nombre de sources, sélectionnées dans les environs des infrastructures étudiées ont été suivies pour le débit, la conductivité électrique, le pH et la température. De l'eau (sources, infiltration d'eau de tunnel et pluie) a été échantillonnés pour des analyses isotopiques; ce sont surtout les isotopes stables (δ2Η, δ180) qui peuvent indiquer l'origine d'une eaux, à cause de la dépendance d'effets spatiaux (altitude de recharge, topographie etc.) ainsi que temporels (saisonaux) sur les précipitations météoriques , qui de suite influencent ainsi la composition isotopique de l'eau souterraine. Les infiltrations d'eau dans les tunnels dans les parties accessibles ont également été échantillonnées et si possible suivies au cours du temps. La concentration de gaz nobles et leurs rapports isotopiques ont également été utilisées pour quelques localités pour mieux comprendre l'origine et la circulation de l'eau souterraine. En plus, des campagnes de mesures de la résistivité électrique et électromagnétique de type VLF ont été menées afin d'identifier des zone de fractures ou d'altération qui pourraient interférer avec les tunnels en profondeur pendant la construction. Le but principal de cette étude était de démontrer que ces données hydrogéologiques et géophysiques peuvent être utilisées avec succès pour développer des modèles hydrogéologiques conceptionels de tunnels. Les résultats principaux de ce travail sont : i) d'avoir testé avec succès l'application de méthodes de la tomographie électrique et des campagnes de mesures électromagnétiques de type VLF afin de trouver des zones riches en eau pendant l'excavation d'un tunnel ; ii) d'avoir prouvé l'utilité des gaz nobles, des analyses ioniques et d'isotopes stables pour déterminer l'origine de l'eau infiltrée (de la pluie par le haut ou ascendant de l'eau remontant des profondeurs) et leur flux et pour déterminer la position de failles ; et iii) d'avoir testé d'une manière convainquant l'application combinée de méthodes géochimiques et géophysiques pour juger et prédire la vulnérabilité de sources lors de la construction de tunnels. - L'interazione dei tunnel con il circuito idrico sotterraneo costituisce un problema sia dal punto di vista ambientale che ingegneristico. Lo scavo di un tunnel puô infatti causare abbassamenti dei livelli piezometrici, inoltre le venute d'acqua in galleria sono un notevole problema sia in fase costruttiva che di esercizio. Nel caso di acquiferi in materiale sciolto, l'influenza dello scavo di un tunnel sul circuito idrico sotterraneo, in genere, puô essere adeguatamente predetta attraverso l'applicazione di soluzioni analitiche; al contrario un approccio di questo tipo appare inadeguato nel caso di scavo in roccia. Per gli ammassi rocciosi fratturati sono piuttosto preferibili soluzioni numeriche e, a tal proposito, sono stati proposti diversi approcci concettuali; nella fattispecie l'ammasso roccioso puô essere modellato come un mezzo discreto ο continuo équivalente. Tuttavia, una corretta applicazione di qualsiasi modello numerico richiede necessariamente indagini preliminari sul comportamento del sistema idrico sotterraneo basate su dati idrogeochimici e geologico strutturali. Per approfondire il tema dell'idrogeologia in ammassi rocciosi fratturati tipici di ambienti montani, è stato condotto uno studio multidisciplinare nel sud della Svizzera sfruttando come casi studio due infrastrutture attualmente in costruzione: (i) il tunnel di base del Monte Ceneri (canton Ticino) e (ii) il tunnel autostradale di San Fedele (Roveredo, canton Grigioni). L'approccio di studio scelto ha cercato di integrare misure idrogeochimiche sulla qualité e quantité delle acque e indagini geofisiche. Nella fattispecie sono state campionate le acque in circa 60 punti spazialmente distribuiti sia in superficie che in sotterraneo; laddove possibile il monitoraggio si è temporalmente prolungato per più di un anno. In una prima fase, il progetto di ricerca si è concentrato sull'acquisizione dati. Diverse sorgenti, selezionate nelle aree di possibile influenza attorno allé infrastrutture esaminate, sono state monitorate per quel che concerne i parametri fisico-chimici: portata, conduttività elettrica, pH e temperatura. Campioni d'acqua sono stati prelevati mensilmente su sorgenti, venute d'acqua e precipitazioni, per analisi isotopiche; nella fattispecie, la composizione in isotopi stabili (δ2Η, δ180) tende a riflettere l'origine delle acque, in quanto, variazioni sia spaziali (altitudine di ricarica, topografia, etc.) che temporali (variazioni stagionali) della composizione isotopica delle precipitazioni influenzano anche le acque sotterranee. Laddove possibile, sono state campionate le venute d'acqua in galleria sia puntualmente che al variare del tempo. Le concentrazioni dei gas nobili disciolti nell'acqua e i loro rapporti isotopici sono stati altresi utilizzati in alcuni casi specifici per meglio spiegare l'origine delle acque e le tipologie di circuiti idrici sotterranei. Inoltre, diverse indagini geofisiche di resistività elettrica ed elettromagnetiche a bassissima frequenza (VLF) sono state condotte al fine di individuare le acque sotterranee circolanti attraverso fratture dell'ammasso roccioso. Principale obiettivo di questo lavoro è stato dimostrare come misure idrogeochimiche ed indagini geofisiche possano essere integrate alio scopo di sviluppare opportuni modelli idrogeologici concettuali utili per lo scavo di opere sotterranee. I principali risultati ottenuti al termine di questa ricerca sono stati: (i) aver testato con successo indagini geofisiche (ERT e VLF-EM) per l'individuazione di acque sotterranee circolanti attraverso fratture dell'ammasso roccioso e che possano essere causa di venute d'acqua in galleria durante lo scavo di tunnel; (ii) aver provato l'utilità di analisi su gas nobili, ioni maggiori e isotopi stabili per l'individuazione di faglie e per comprendere l'origine delle acque sotterranee (acque di recente infiltrazione ο provenienti da circolazioni profonde); (iii) aver testato in maniera convincente l'integrazione delle indagini geofisiche e di misure geochimiche per la valutazione della vulnérabilité delle sorgenti durante lo scavo di nuovi tunnel. - "La NLFA (Nouvelle Ligne Ferroviaire à travers les Alpes) axe du Saint-Gothard est le plus important projet de construction de Suisse. En bâtissant la nouvelle ligne du Saint-Gothard, la Suisse réalise un des plus grands projets de protection de l'environnement d'Europe". Cette phrase, qu'on lit comme présentation du projet Alptransit est particulièrement éloquente pour expliquer l'utilité des nouvelles lignes ferroviaires transeuropéens pour le développement durable. Toutefois, comme toutes grandes infrastructures, la construction de nouveaux tunnels ont des impacts inévitables sur l'environnement. En particulier, le possible drainage des eaux souterraines réalisées par le tunnel peut provoquer un abaissement du niveau des nappes piézométriques. De plus, l'écoulement de l'eau à l'intérieur du tunnel, conduit souvent à des problèmes d'ingénierie. Par exemple, d'importantes infiltrations d'eau dans le tunnel peuvent compliquer les phases d'excavation, provoquant un retard dans l'avancement et dans le pire des cas, peuvent mettre en danger la sécurité des travailleurs. Enfin, l'infiltration d'eau peut être un gros problème pendant le fonctionnement du tunnel. Du point de vue de la science, avoir accès à des infrastructures souterraines représente une occasion unique d'obtenir des informations géologiques en profondeur et pour échantillonner des eaux autrement inaccessibles. Dans ce travail, nous avons utilisé une approche pluridisciplinaire qui intègre des mesures d'étude hydrogéochimiques effectués sur les eaux de surface et des investigations géophysiques indirects, tels que la tomographic de résistivité électrique (TRE) et les mesures électromagnétiques de type VLF. L'étude complète a été fait en Suisse italienne, basée sur deux grandes infrastructures actuellement en construction, qui sont le tunnel ferroviaire de base du Monte Ceneri, une partie du susmentionné projet Alptransit, situé entièrement dans le canton Tessin, et le tunnel routière de San Fedele, situé a Roveredo dans le canton des Grisons. Le principal objectif était de montrer comment il était possible d'intégrer les deux approches, géophysiques et géochimiques, afin de répondre à la question de ce que pourraient être les effets possibles dû au drainage causés par les travaux souterrains. L'accès aux galeries ci-dessus a permis une validation adéquate des enquêtes menées confirmant, dans chaque cas, les hypothèses proposées. A cette fin, nous avons fait environ 50 profils géophysiques (28 imageries électrique bidimensionnels et 23 électromagnétiques) dans les zones de possible influence par le tunnel, dans le but d'identifier les fractures et les discontinuités dans lesquelles l'eau souterraine peut circuler. De plus, des eaux ont été échantillonnés dans 60 localités situées la surface ainsi que dans les tunnels subjacents, le suivi mensuelle a duré plus d'un an. Nous avons mesurés tous les principaux paramètres physiques et chimiques: débit, conductivité électrique, pH et température. De plus, des échantillons d'eaux ont été prélevés pour l'analyse mensuelle des isotopes stables de l'hydrogène et de l'oxygène (δ2Η, δ180). Avec ces analyses, ainsi que par la mesure des concentrations des gaz rares dissous dans les eaux et de leurs rapports isotopiques que nous avons effectués dans certains cas spécifiques, il était possible d'expliquer l'origine des différents eaux souterraines, les divers modes de recharge des nappes souterraines, la présence de possible phénomènes de mélange et, en général, de mieux expliquer les circulations d'eaux dans le sous-sol. Le travail, même en constituant qu'une réponse partielle à une question très complexe, a permis d'atteindre certains importants objectifs. D'abord, nous avons testé avec succès l'applicabilité des méthodes géophysiques indirectes (TRE et électromagnétiques de type VLF) pour prédire la présence d'eaux souterraines dans le sous-sol des massifs rocheux. De plus, nous avons démontré l'utilité de l'analyse des gaz rares, des isotopes stables et de l'analyses des ions majeurs pour la détection de failles et pour comprendre l'origine des eaux souterraines (eau de pluie par le haut ou eau remontant des profondeurs). En conclusion, avec cette recherche, on a montré que l'intégration des ces informations (géophysiques et géochimiques) permet le développement de modèles conceptuels appropriés, qui permettant d'expliquer comment l'eau souterraine circule. Ces modèles permettent de prévoir les infiltrations d'eau dans les tunnels et de prédire la vulnérabilité de sources et des autres ressources en eau lors de construction de tunnels.

Predictive analysis and mapping of indoor radon concentrations in a complex environment using kernel estimation: an application to Switzerland.

PURPOSE: The aim of this study was to develop models based on kernel regression and probability estimation in order to predict and map IRC in Switzerland by taking into account all of the following: architectural factors, spatial relationships between the measurements, as well as geological information. METHODS: We looked at about 240,000 IRC measurements carried out in about 150,000 houses. As predictor variables we included: building type, foundation type, year of construction, detector type, geographical coordinates, altitude, temperature and lithology into the kernel estimation models. We developed predictive maps as well as a map of the local probability to exceed 300 Bq/m(3). Additionally, we developed a map of a confidence index in order to estimate the reliability of the probability map. RESULTS: Our models were able to explain 28% of the variations of IRC data. All variables added information to the model. The model estimation revealed a bandwidth for each variable, making it possible to characterize the influence of each variable on the IRC estimation. Furthermore, we assessed the mapping characteristics of kernel estimation overall as well as by municipality. Overall, our model reproduces spatial IRC patterns which were already obtained earlier. On the municipal level, we could show that our model accounts well for IRC trends within municipal boundaries. Finally, we found that different building characteristics result in different IRC maps. Maps corresponding to detached houses with concrete foundations indicate systematically smaller IRC than maps corresponding to farms with earth foundation. CONCLUSIONS: IRC mapping based on kernel estimation is a powerful tool to predict and analyze IRC on a large-scale as well as on a local level. This approach enables to develop tailor-made maps for different architectural elements and measurement conditions and to account at the same time for geological information and spatial relations between IRC measurements.

Interest rates mapping

The present study deals with the analysis and mapping of Swiss franc interest rates. Interest rates depend on time and maturity, defining term structure of the interest rate curves (IRC). In the present study IRC are considered in a two-dimensional feature space - time and maturity. Exploratory data analysis includes a variety of tools widely used in econophysics and geostatistics. Geostatistical models and machine learning algorithms (multilayer perceptron and Support Vector Machines) were applied to produce interest rate maps. IR maps can be used for the visualisation and pattern perception purposes, to develop and to explore economical hypotheses, to produce dynamic asset-liability simulations and for financial risk assessments. The feasibility of an application of interest rates mapping approach for the IRC forecasting is considered as well. (C) 2008 Elsevier B.V. All rights reserved.

Molecular analysis of a novel gene cluster encoding an insect toxin in plant-associated strains of Pseudomonas fluorescens

Pseudomonas fluorescens CHA0 and the related strain Pf-5 are well-characterized representatives of rhizosphere bacteria that have the capacity to protect crop plants from fungal root diseases, mainly by releasing a variety of exoproducts that are toxic to plant pathogenic fungi. Here, we report that the two plant-beneficial pseudomonads also exhibit potent insecticidal activity. Anti-insect activity is linked to a novel genomic locus encoding a large protein toxin termed Fit (for P. fluorescensinsecticidal toxin) that is related to the insect toxin Mcf (Makes caterpillars floppy) of the entomopathogen Photorhabdus luminescens, a mutualist of insect-invading nematodes. When injected into the haemocoel, even low doses of P. fluorescens CHA0 or Pf-5 killed larvae of the tobacco hornworm Manduca sexta and the greater wax moth Galleria mellonella. In contrast, mutants of CHA0 or Pf-5 with deletions in the Fit toxin gene were significantly less virulent to the larvae. When expressed from an inducible promoter in a non-toxic Escherichia coli host, the Fit toxin gene was sufficient to render the bacterium toxic to both insect hosts. Our findings establish the Fit gene products of P. fluorescens CHA0 and Pf-5 as potent insect toxins that define previously unappreciated anti-insect properties of these plant-colonizing bacteria