Continuous geochemical monitoring by mass-spectometer in the Campi Flegrei geothermal area. An application at Pisciarelli-Solfatara (diffuse and fumarolic gases) and at the mud gases during drilling of the CFDDP pilot hole

During this work has been developed an innovative methodology for continuous and in situ gas monitoring (24/24 h) of fumarolic and soil diffusive emissions applied to the geothermal and volcanic area of Pisciarelli near Agnano inside the Campi Flegrei caldera (CFc). In literature there are only scattered and in discrete data of the geochemical gas composition of fumarole at Campi Flegrei; it is only since the early ’80 that exist a systematic record of fumaroles with discrete sampling at Solfatara (Bocca Grande and Bocca Nuova fumaroles) and since 1999, even at the degassing areas of Pisciarelli. This type of sampling has resulted in a time series of geochemical analysis with discontinuous periods of time set (in average 2-3 measurements per month) completely inadequate for the purposes of Civil Defence in such high volcanic risk and densely populated areas. For this purpose, and to remedy this lack of data, during this study was introduced a new methodology of continuous and in situ sampling able to continuously detect data related and from its soil diffusive degassing. Due to its high sampling density (about one measurement per minute therefore producing 1440 data daily) and numerous species detected (CO2, Ar, 36Ar, CH4, He, H2S, N2, O2) allowing a good statistic record and the reconstruction of the gas composition evolution of the investigated area. This methodology is based on continuous sampling of fumaroles gases and soil degassing using an extraction line, which after undergoing a series of condensation processes of the water vapour content - better described hereinafter - is analyzed through using a quadrupole mass spectrometer

The Sociolinguistics of Hungarian Outside Hungary

This study describes the sociolinguistic situation of the indigenous Hungarian national minorities in Slovakia (c. 600,000), Ukraine (c. 180,000), Romania (c. 2,000,000), Yugoslavia (c. 300,000), Slovenia (c. 8,000) and Austria (c. 6,000). Following the guidelines of Hans Goebl et al, the historical sociolinguistic portrait of each minority is presented from 1920 through to the mid-1990s. Each country's report includes sections on geography and demography, history, politics, economy, culture and religion, language policy and planning, and language use (domains of minority and/or majority language use, proficiency, attitudes, etc.). The team's findings were presented in the form of 374 pages of manuscripts, articles and tables, written in Hungarian and English. The core of the team's research results lies in the results of an empirical survey designed to study the social characteristics of Hungarian-minority bilingualism in the six project countries, and the linguistic similarities and differences between the six contact varieties of Hungarian and Hungarian in Hungary. The respondents were divided by age, education, and settlement group - city vs. village and local majority vs. local minority. The first thing to be observed is that Hungarian is tending to be spoken less to children than to parents and grandparents, a familiar pattern of language shift. In contact varieties of Hungarian, analytic constructions may be used where monolingual Hungarians would use a more synthetic form. Mr Kontra gives as an example the compound tagdij, which in Standard Hungarian means "membership fee" but which is replaced in contact Hungarian by the two-word phrase tagsagi dij. Another similar example concerns the synthetic verb hegedult "played the violin" and the analytic expression hegedun jatszott. The contrast is especially striking between the Hungarians in the northern Slavic countries, who use the synthetic form frequently, and those in the southern Slavic countries, who mainly use the analytic form. Mr. Kontra notes that from a structural point of view, there is no immediate explanation for this, since Slovak or Ukrainian are as likely to cause interference as is Serbian. He postulates instead that the difference may be attributable to some sociohistoric cause, and points out that the Turkish occupation of what is today Voivodina caused a discontinuity of the Hungarian presence in the region, with the result that Hungarians were resettled in the area only two and a half centuries ago. However, the Hungarians in today's Slovakia and Ukraine have lived together with Slavic peoples continuously for over a millennium. It may be, he suggests, that 250 years of interethnic coexistence is less than is needed for such a contact-induced change to run its course. Next Mr. Kontra moved on to what he terms "mental maps and morphology". In Hungarian, the names of cities and villages take the surface case (eg. Budapest-en "in Budapest") whereas some names denoting Hungarian settlements and all names of foreign cities take the interior case (eg. Tihany-ban "in Tihany" and Boston-ban "in Boston). The role of the semantic feature "foreign" in suffix-choice can be illustrated by such minimal pairs as Velence-n "in Velence, a village in Hungary" versus Velence-ben "in Velence [=Venice], a city in Italy", and Pecs-en "in Pecs, a city in Hungary" vs. Becs-ben "in Becs, ie. Vienna". This Hungarian vs. foreign distinction is often interpreted as "belonging to historical (pre-1920) Hungary" vs. "outside historical Hungary". The distinction is also expressed in the dichotomy "home" vs. "abroad'. The 1920 border changes have had an impact on both majority and minority Hungarians' mental maps, the maps which govern the choice of surface vs. interior cases with placenames. As there is a growing divergence between the mental maps of majority and minority Hungarians, so there will be a growing divergence in their use of the placename suffixes. Two placenames were chosen to scratch the surface of this complex problem: Craiova (a city in Oltenia, Romania) and Kosovo (Hungarian Koszovo) an autonomous region in southeast Yugoslavia. The assumption to be tested was that both placenames would be used with the inessive (interior) suffixes categorically by Hungarians in Hungary, but that the superessive suffix (showing "home") would be used near-categorically by Hungarians in Romania and Yugoslavia (Voivodina). Minority Hungarians in countries other than Romania and Yugoslavia would show no difference from majority Hungarians in Hungary. In fact, the data show that, contrary to expectation, there is considerable variation within Hungary. And although Koszovo is used, as expected, with the "home" suffix by 61% of the informants in Yugoslavia, the same suffix is used by an even higher percentage of the subjects in Slovenia. Mr. Kontra's team suggests that one factor playing a role in this might be the continuance of the former Yugoslav mentality in the Hungarians of Slovenia, at least from the geographical point of view. The contact varieties of Hungarian show important grammatical differences from Hungarian in Hungary. One of these concerns the variable use of Null subjects (the inclusion or exclusion of the subject of the verb). When informants were asked to insert either megkertem or megkertem ot - "I asked her" - into a test sentence, 54.9% of the respondents in the Ukraine inserted the second phrase as opposed to only 27.4% in Hungary. Although Mr. Kontra and his team concentrated more on the differences between Contact Hungarian and Standard Hungarian, they also discovered a number of similarities. One such similarity is demonstrable in the distribution of what Mr. Kontra calls an ongoing syntactic merger in Hungarian in Hungary. This change means effectively that two possibilities merge to form a third. For instance, the two sentences Valoszinuleg kulfoldre fognak koltozni and Valoszinu, hogy kulfoldre fognak koltozni merge to form the new construction Valszinuleg, hogy kulfoldre fognak koltozni ("Probably they will move abroad."). When asked to choose "the most natural" of the sentences, one in four chose the new construction, and a chi-square test shows homogeneity in the sample. In other words, this syntactic change is spreading across the entire Hungarian-speaking region in the Carpathian Basin Mr. Kontra believes that politicians, educators, and other interested parties now have reliable and up-to-date information about each Hungarian minority. An awareness of Hungarian as a pluricentric language is being developed which elevates the status of contact varieties of Hungarian used by the minorities, an essential process, he believes, if minority languages are to be maintained.

Semiparametric Latent Variable Regression Models for Spatio-temporal Modeling of Mobile Source Particles in the Greater Boston Area

Traffic particle concentrations show considerable spatial variability within a metropolitan area. We consider latent variable semiparametric regression models for modeling the spatial and temporal variability of black carbon and elemental carbon concentrations in the greater Boston area. Measurements of these pollutants, which are markers of traffic particles, were obtained from several individual exposure studies conducted at specific household locations as well as 15 ambient monitoring sites in the city. The models allow for both flexible, nonlinear effects of covariates and for unexplained spatial and temporal variability in exposure. In addition, the different individual exposure studies recorded different surrogates of traffic particles, with some recording only outdoor concentrations of black or elemental carbon, some recording indoor concentrations of black carbon, and others recording both indoor and outdoor concentrations of black carbon. A joint model for outdoor and indoor exposure that specifies a spatially varying latent variable provides greater spatial coverage in the area of interest. We propose a penalised spline formation of the model that relates to generalised kringing of the latent traffic pollution variable and leads to a natural Bayesian Markov Chain Monte Carlo algorithm for model fitting. We propose methods that allow us to control the degress of freedom of the smoother in a Bayesian framework. Finally, we present results from an analysis that applies the model to data from summer and winter separately