Experiments on homogeneous nucleation and physicochemical properties related to atmospheric new particle formation

Aerosol particles play a role in the earth ecosystem and affect human health. A significant pathway of producing aerosol particles in the atmosphere is new particle formation, where condensable vapours nucleate and these newly formed clusters grow by condensation and coagulation. However, this phenomenon is still not fully understood. This thesis brings an insight to new particle formation from an experimental point of view. Laboratory experiments were conducted both on the nucleation process and physicochemical properties related to new particle formation. Nucleation rate measurements are used to test nucleation theories. These theories, in turn, are used to predict nucleation rates in atmospheric conditions. However, the nucleation rate measurements have proven quite difficult to conduct, as different devices can yield nucleation rates with differences of several orders of magnitude for the same substances. In this thesis, work has been done to have a greater understanding in nucleation measurements, especially those conducted in a laminar flow diffusion chamber. Systematic studies of nucleation were also made for future verification of nucleation theories. Surface tensions and densities of substances related to atmospheric new particle formation were measured. Ternary sulphuric acid + ammonia + water is a proposed candidate to participate in atmospheric nucleation. Surface tensions of an alternative candidate to nucleate in boreal forest areas, sulphuric acid + dimethylamine + water, were also measured. Binary compounds, consisting of organic acids + water are possible candidates to participate in the early growth of freshly nucleated particles. All the measured surface tensions and densities were fitted with equations, thermodynamically consistent if possible, to be easily applied to atmospheric model calculations of nucleation and subsequent evolution of particle size.

On the homogeneous and heterogeneous nucleation of some organic compounds

The conversion of a metastable phase into a thermodynamically stable phase takes place via the formation of clusters. Clusters of different sizes are formed spontaneously within the metastable mother phase, but only those larger than a certain size, called the critical size, will end up growing into a new phase. There are two types of nucleation: homogeneous, where the clusters appear in a uniform phase, and heterogeneous, when pre-existing surfaces are available and clusters form on them. The nucleation of aerosol particles from gas-phase molecules is connected not only with inorganic compounds, but also with nonvolatile organic substances found in atmosphere. The question is which ones of the myriad of organic species have the right properties and are able to participate in nucleation phenomena. This thesis discusses both homogeneous and heterogeneous nucleation, having as theoretical tool the classical nucleation theory (CNT) based on thermodynamics. Different classes of organics are investigated. The members of the first class are four dicarboxylic acids (succinic, glutaric, malonic and adipic). They can be found in both the gas and particulate phases, and represent good candidates for the aerosol formation due to their low vapor pressure and solubility. Their influence on the nucleation process has not been largely investigated in the literature and it is not fully established. The accuracy of the CNT predictions for binary water-dicarboxylic acid systems depends significantly on the good knowledge of the thermophysical properties of the organics and their aqueous solutions. A large part of the thesis is dedicated to this issue. We have shown that homogeneous and heterogeneous nucleation of succinic, glutaric and malonic acids in combination with water is unlikely to happen in atmospheric conditions. However, it seems that adipic acid could participate in the nucleation process in conditions occurring in the upper troposphere. The second class of organics is represented by n-nonane and n-propanol. Their thermophysical properties are well established, and experiments on these substances have been performed. The experimental data of binary homogeneous and heterogeneous nucleation have been compared with the theoretical predictions. Although the n-nonane - n-propanol mixture is far from being ideal, CNT seems to behave fairly well, especially when calculating the cluster composition. In the case of heterogeneous nucleation, it has been found that better characterization of the substrate - liquid interaction by means of line tension and microscopic contact angle leads to a significant improvement of the CNT prediction. Unfortunately, this can not be achieved without well defined experimental data.

An Empirical Study of the Mixture of Time and Movements in Prices

This paper investigates the persistent pattern in the Helsinki Exchanges. The persistent pattern is analyzed using a time and a price approach. It is hypothesized that arrival times are related to movements in prices. Thus, the arrival times are defined as durations and formulated as an Autoregressive Conditional Duration (ACD) model as in Engle and Russell (1998). The prices are defined as price changes and formulated as a GARCH process including duration measures. The research question follows from market microstructure predictions about price intensities defined as time between price changes. The microstructure theory states that long transaction durations might be associated with both no news and bad news. Accordingly, short durations would be related to high volatility and long durations to low volatility. As a result, the spread will tend to be larger under intensive moments. The main findings of this study are 1) arrival times are positively autocorrelated and 2) long durations are associated with low volatility in the market.

Nonlinear mixture autoregressive model: economic applications

The aim of this dissertation is to model economic variables by a mixture autoregressive (MAR) model. The MAR model is a generalization of linear autoregressive (AR) model. The MAR -model consists of K linear autoregressive components. At any given point of time one of these autoregressive components is randomly selected to generate a new observation for the time series. The mixture probability can be constant over time or a direct function of a some observable variable. Many economic time series contain properties which cannot be described by linear and stationary time series models. A nonlinear autoregressive model such as MAR model can a plausible alternative in the case of these time series. In this dissertation the MAR model is used to model stock market bubbles and a relationship between inflation and the interest rate. In the case of the inflation rate we arrived at the MAR model where inflation process is less mean reverting in the case of high inflation than in the case of normal inflation. The interest rate move one-for-one with expected inflation. We use the data from the Livingston survey as a proxy for inflation expectations. We have found that survey inflation expectations are not perfectly rational. According to our results information stickiness play an important role in the expectation formation. We also found that survey participants have a tendency to underestimate inflation. A MAR model has also used to model stock market bubbles and crashes. This model has two regimes: the bubble regime and the error correction regime. In the error correction regime price depends on a fundamental factor, the price-dividend ratio, and in the bubble regime, price is independent of fundamentals. In this model a stock market crash is usually caused by a regime switch from a bubble regime to an error-correction regime. According to our empirical results bubbles are related to a low inflation. Our model also imply that bubbles have influences investment return distribution in both short and long run.

Biomassan energia-arvon nostaminen sekundäärilämmöllä kuivaamalla

Viime aikoina ilmastonmuutos, fossiilisten polttoaineiden väheneminen ja niiden hinnan nousu ovat lisänneet merkittävästi maailmanlaajuista kiinnostusta uusiutuviin energiavaroihin. Suomessa uusiutuvien energialähteiden käytössä on jo pitkään panostettu metsäteollisuuden sivutuotevirtana tuottamaan puuperäiseen biomassaan, jota metsäteollisuus käyttää energiantuotantoonsa. Metsäteollisuuden jätevesien käsittelyssä syntyy erilaisia lietteitä, jotka joko uusiokäytetään tai hävitetään polttamalla tai sijoittamalla kaatopaikalle. Erityisesti biolietteiden uusiokäyttö on hankalaa ja kaatopaikkasijoitus tulevaisuudessa mahdotonta tai ainakin kustannuksiltaan kohtuutonta. Käytännössä liete hävitetään polttamalla ja kuivaamalla siitä tulee polttoaine. Lietteiden energiakäyttö on järkevin tapa hävittää jäteliete. Lietteiden korkean vesipitoisuuden vuoksi ne tulee kuitenkin kuivata ennen polttoa. Lietteen kuivaaminen sekundäärienergiavirralla eli metsäteollisuusprosesseissa sivutuotteena muodostuvalla ns. hukkalämmöllä lisää lietteen poltosta saatavaa energiamäärää ja korvaa fossiilisten polttoaineiden käyttöä. Tutkimuksen tavoitteena oli selvittää lietteen kuivaukseen optimaalisin kuoren ja lietteen seossuhde eri kuivausparametrejä vaihdellen. Kokeellinen työ aloitettiin rakentamalla energiatekniikan koehalliin laboratoriokokoluokan kiintopetikuivuri, jossa kuivumista tutkittiin puhaltamalla polttoainepedin läpi lämmitettyä ilmaa. Kuivattavina polttoaineina olivat kuoren ja lietteen seos tai pelkkä kuori ja liete erilaisilla massoilla ja erilaisilla prosenttisilla suhteilla ja erilaisissa lämpötiloissa. Kuivumiskäyrien määritys perustui massanmuutokseen. Koelaitteessa olivat anturit lämpötilan mittausta varten, jotta lämpötila saatiin säädettyä ja seurattua kokeen edellyttämällä tavalla. Lämpötilat ja painonmuutokset tallentuivat koetta tehdessä tietokoneelle. Kuivauskokeet osoittivat, että liete-kuori seos kuivuu hyvin kiintopedissä kun lietteen massaosuus seoksessa on korkeintaan 50 %. Lietteen massaosuuden ollessa tätä suurempi kuivaaminen ei enää ole tehokasta, mikä johtuu luultavasti ilman suuresta kanavoitumisesta kuivauspedissä. Kuorta kuivatessa lämpötilan nosto 50 °C:stä 70 °C:een oli huomattavasti tehokkaampaa kuin 70 °C:stä 90 °C:een, ajallisesti ero oli noin kaksinkertainen.