Evaluation and modelling of the spatial and temporal variability of particulate matter in urban areas

This thesis contains three subject areas concerning particulate matter in urban area air quality: 1) Analysis of the measured concentrations of particulate matter mass concentrations in the Helsinki Metropolitan Area (HMA) in different locations in relation to traffic sources, and at different times of year and day. 2) The evolution of traffic exhaust originated particulate matter number concentrations and sizes in local street scale are studied by a combination of a dispersion model and an aerosol process model. 3) Some situations of high particulate matter concentrations are analysed with regard to their meteorological origins, especially temperature inversion situations, in the HMA and three other European cities. The prediction of the occurrence of meteorological conditions conducive to elevated particulate matter concentrations in the studied cities is examined. The performance of current numerical weather forecasting models in the case of air pollution episode situations is considered. The study of the ambient measurements revealed clear diurnal variation of the PM10 concentrations in the HMA measurement sites, irrespective of the year and the season of the year. The diurnal variation of local vehicular traffic flows seemed to have no substantial correlation with the PM2.5 concentrations, indicating that the PM10 concentrations were originated mainly from local vehicular traffic (direct emissions and suspension), while the PM2.5 concentrations were mostly of regionally and long-range transported origin. The modelling study of traffic exhaust dispersion and transformation showed that the number concentrations of particles originating from street traffic exhaust undergo a substantial change during the first tens of seconds after being emitted from the vehicle tailpipe. The dilution process was shown to dominate total number concentrations. Minimal effect of both condensation and coagulation was seen in the Aitken mode number concentrations. The included air pollution episodes were chosen on the basis of occurrence in either winter or spring, and having at least partly local origin. In the HMA, air pollution episodes were shown to be linked to predominantly stable atmospheric conditions with high atmospheric pressure and low wind speeds in conjunction with relatively low ambient temperatures. For the other European cities studied, the best meteorological predictors for the elevated concentrations of PM10 were shown to be temporal (hourly) evolutions of temperature inversions, stable atmospheric stability and in some cases, wind speed. Concerning the weather prediction during particulate matter related air pollution episodes, the use of the studied models were found to overpredict pollutant dispersion, leading to underprediction of pollutant concentration levels.

Task-dependent activations of human auditory cortex during pitch discrimination and pitch memory tasks

"The functional organization of auditory cortex (AC) is still poorly understood. Previous studies suggest segregation of auditory processing streams for spatial and nonspatial information located in the posterior and anterior AC, respectively (Rauschecker and Tian, 2000; Arnott et al., 2004; Lomber and Malhotra, 2008). Furthermore, previous studies have shown that active listening tasks strongly modulate AC activations (Petkov et al., 2004; Fritz et al., 2005; Polley et al., 2006). However, the task dependence of AC activations has not been systematically investigated. In the present study, we applied high-resolution functional magnetic resonance imaging of the AC and adjacent areas to compare activations during pitch discrimination and n-back pitch memory tasks that were varied parametrically in difficulty. We found that anterior AC activations were increased during discrimination but not during memory tasks, while activations in the inferior parietal lobule posterior to the AC were enhanced during memory tasks but not during discrimination. We also found that wide areas of the anterior AC and anterior insula were strongly deactivated during the pitch memory tasks. While these results are consistent with the proposition that the anterior and posterior AC belong to functionally separate auditory processing streams, our results show that this division is present also between tasks using spatially invariant sounds. Together, our results indicate that activations of human AC are strongly dependent on the characteristics of the behavioral task."

Spatial ecology of food webs : herbivore-parasitoid communities on the pedunculate oak

Herbivorous insects, their host plants and natural enemies form the largest and most species-rich communities on earth. But what forces structure such communities? Do they represent random collections of species, or are they assembled by given rules? To address these questions, food webs offer excellent tools. As a result of their versatile information content, such webs have become the focus of intensive research over the last few decades. In this thesis, I study herbivore-parasitoid food webs from a new perspective: I construct multiple, quantitative food webs in a spatially explicit setting, at two different scales. Focusing on food webs consisting of specialist herbivores and their natural enemies on the pedunculate oak, Quercus robur, I examine consistency in food web structure across space and time, and how landscape context affects this structure. As an important methodological development, I use DNA barcoding to resolve potential cryptic species in the food webs, and to examine their effect on food web structure. I find that DNA barcoding changes our perception of species identity for as many as a third of the individuals, by reducing misidentifications and by resolving several cryptic species. In terms of the variation detected in food web structure, I find surprising consistency in both space and time. From a spatial perspective, landscape context leaves no detectable imprint on food web structure, while species richness declines significantly with decreasing connectivity. From a temporal perspective, food web structure remains predictable from year to year, despite considerable species turnover in local communities. The rate of such turnover varies between guilds and species within guilds. The factors best explaining these observations are abundant and common species, which have a quantitatively dominant imprint on overall structure, and suffer the lowest turnover. By contrast, rare species with little impact on food web structure exhibit the highest turnover rates. These patterns reveal important limitations of modern metrics of quantitative food web structure. While they accurately describe the overall topology of the web and its most significant interactions, they are disproportionately affected by species with given traits, and insensitive to the specific identity of species. As rare species have been shown to be important for food web stability, metrics depicting quantitative food web structure should then not be used as the sole descriptors of communities in a changing world. To detect and resolve the versatile imprint of global environmental change, one should rather use these metrics as one tool among several.

Topics in Spatial Econometrics - With Applications to House Prices

Topics in Spatial Econometrics — With Applications to House Prices Spatial effects in data occur when geographical closeness of observations influences the relation between the observations. When two points on a map are close to each other, the observed values on a variable at those points tend to be similar. The further away the two points are from each other, the less similar the observed values tend to be. Recent technical developments, geographical information systems (GIS) and global positioning systems (GPS) have brought about a renewed interest in spatial matters. For instance, it is possible to observe the exact location of an observation and combine it with other characteristics. Spatial econometrics integrates spatial aspects into econometric models and analysis. The thesis concentrates mainly on methodological issues, but the findings are illustrated by empirical studies on house price data. The thesis consists of an introductory chapter and four essays. The introductory chapter presents an overview of topics and problems in spatial econometrics. It discusses spatial effects, spatial weights matrices, especially k-nearest neighbours weights matrices, and various spatial econometric models, as well as estimation methods and inference. Further, the problem of omitted variables, a few computational and empirical aspects, the bootstrap procedure and the spatial J-test are presented. In addition, a discussion on hedonic house price models is included. In the first essay a comparison is made between spatial econometrics and time series analysis. By restricting the attention to unilateral spatial autoregressive processes, it is shown that a unilateral spatial autoregression, which enjoys similar properties as an autoregression with time series, can be defined. By an empirical study on house price data the second essay shows that it is possible to form coordinate-based, spatially autoregressive variables, which are at least to some extent able to replace the spatial structure in a spatial econometric model. In the third essay a strategy for specifying a k-nearest neighbours weights matrix by applying the spatial J-test is suggested, studied and demonstrated. In the final fourth essay the properties of the asymptotic spatial J-test are further examined. A simulation study shows that the spatial J-test can be used for distinguishing between general spatial models with different k-nearest neighbours weights matrices. A bootstrap spatial J-test is suggested to correct the size of the asymptotic test in small samples.

Markov random fields and spatial smoothing in improving of forest inventory estimates

Markov random fields (MRF) are popular in image processing applications to describe spatial dependencies between image units. Here, we take a look at the theory and the models of MRFs with an application to improve forest inventory estimates. Typically, autocorrelation between study units is a nuisance in statistical inference, but we take an advantage of the dependencies to smooth noisy measurements by borrowing information from the neighbouring units. We build a stochastic spatial model, which we estimate with a Markov chain Monte Carlo simulation method. The smooth values are validated against another data set increasing our confidence that the estimates are more accurate than the originals.

Microsite occupancy and spatial structure of regeneration in three late-successional Norway spruce forests in northern Europe

A comparison of microsite occupancy and the spatial structure of regeneration in three areas of late-successional Norway spruce dominated forest. Pallas-Ylläs is understood to have been influenced only by small-scale disturbance; Dvina-Pinega has had sporadic larger-scale disturbances; Kazkim has been affected by fire. All spruce and birch trees with diameter at breast height (DBH) ?10 cm were mapped in five stands on 40 m x 400 m transects, and those with DBH < 10 cm on 2 or 4 m x 400 m subplots. Microsite type was inventoried at 1m intervals along the centre line and for each tree with DBH < 10 cm. At all study areas small seedlings (h < 0.3 m, DBH < 10 cm) preferentially occupied disturbed microsites. In contrast, spruce saplings (h ? 1.3 m, DBH <10 cm) at all study areas showed less, or no, preference. At Pallas-Ylläs spruce seedlings (h < 1.3 m, DBH < 10 cm) and saplings (h ? 1.3 m, DBH < 10 cm) exhibited spatial correlation at scales from 32-52 m. At Dvina-Pinega saplings of both spruce and birch exhibited spatial correlation at scales from 32-81 m. At Kazkim spatial correlation of seedlings and saplings of both species was exhibited over variable distances. No spatial cross-correlation was found between overstorey basal area (DBH ? 10 cm) and regeneration (h ? 1.3 m, DBH < 10 cm) at any study area. The results confirm the importance of disturbed microsites for seedling establishment, but suggest that undisturbed microsites may sometimes be more advantageous for long-term tree survival. The regeneration gap concept may not be useful in describing the regeneration dynamics of late-successional boreal forests.

Yhteinen kaupunki, eriytyvät kaupunginosat? : Kantaväestön ja maahanmuuttajataustaisten asukkaiden alueellinen eriytyminen ja muuttoliike pääkaupunkiseudulla

This thesis critically examines the patterns and processes of ethnic residential segregation in the Helsinki Metropolitan Area (HMA). These phenomena are examined in two main ways: a) between the native and immigrant populations and b) the extent to which different immigrant groups are sharing the same neighbourhoods. The main aim of the study is to test the extent to which the theoretical claims of the selective migration processes can explain the development of ethnic residential segregation in HMA. The data is mixed: it consists of neighbourhood-level statistics related to the migration, demography and housing stock. The selective migration flows are analysed within and between neighbourhood-types, defined on the basis of the percentages of foreign-language-speakers. For contextual purposes, the study also includes fifteen expert interviews who work within the housing sector. Firstly, the results show that, from the early 2000s the patterns of ethnic residential segregation have strengthened while the differences between neighbourhoods have grown. On a more general level the HMA can be divided into two main areas: some eastern and north-eastern neighbourhoods that have experienced the rise of immigrant concentrations and; the northern, north-western and southern parts of the HMA, where the number and percentages of immigrants have remained relatively low. However, within the eastern and north-eastern neighbourhoods there are also discernable internal differences that reflect the income levels of the inhabitants and the type of housing stock. The results also show that, the existing immigrant concentrations are ethnically and culturally mixed and thus qualitatively different from China town and Little-Italy enclaves of single groups of immigrants. Secondly, the results show that there are clear signs of the selective migration processes of the native and immigrant populations which have resulted in the discernable development of ethnic residential segregation. Migration flows of the native population have gravitated towards neighbourhoods, where the percentage of immigrants is below the HMA average. This has resulted in significant migration losses for neighbourhoods with established and developing concentrations of immigrants. Meanwhile, migration of immigrants has been drawn to neighbourhoods where their percentages are above the HMA average. However, the results also point to clear differences in the migration and spatial patterns of different immigrant groups. The spatial selectivity of migration is, thus, more prominent amongst the native population than when compared with immigrants. Overall, the results indicate that the reproduction of the selective migration flows of the native and immigrant populations will largely determine HMA s future development of ethnic residential segregation.

Asuntopolitiikka ja vieraskielisen väestön alueellinen keskittyminen Helsingissä vuosina 1992-2005

The aim of the thesis was to study the extent of spatial concentration of immigrant population in Helsinki and to analyse the impact of housing policy on ethnic residential segregation in 1992-2005. For the purpose of the study, immigrant population was defined based on the language spoken at home. The theory of residential segregation by Andersson and Molina formed the main theoretical framework for the study. According to Andersson and Molina ethnic residential segregation results from different dynamic intra-urban migration processes. Institutionally generated migration, i.e. migration patterns generated by various housing and immigrant policies and procedures, is one of the central factors in the development of ethnic segregation. The data of the study consisted of population and housing statistics and housing and immigrant policy documents of Helsinki municipality. Spatial concentration of immigrant population was studied both at district and building levels using GIS-methods and statistical methods. The housing policy of Helsinki municipality was analysed using a method created by Musterd et al. Musterd et al. categorise two types of policy approaches to residential segregation: spatial dispersion policy and compensating policy. The housing policy of Helsinki has a strong focus on social mixing and spatial dispersion of housing stock. Ethnic segregation is regarded as a threat. The importance of ethnic communities and networks is, however, acknowledged and small-scale concentration is therefore not considered harmful. Despite the spatial dispersion policy, the immigrant population is concentrated in the eastern, north-eastern and north-western suburbs of Helsinki. The spatial pattern of concentration was formed already at the beginning of the 1990's when immigration to Finland suddenly peaked. New immigrant groups were housed in the neighbourhoods where public housing was available at the time. Housing policy, namely the location of new residential areas and public housing blocks and the policies of public housing allocation were key factors influencing the residential patterns of immigrant population in the 1990's. The immigration and refugee policies of the state have also had an impact on the development. The concentration of immigrant population has continued in the same areas in the beginning of the 2000's. Dispersion to new areas has mainly taken place within the eastern and north-eastern parts of the city or in the adjacent areas. The migration patterns of native population and the reasonably rapid changes in the housing market have emerged as new factors generating and influencing the ethnic residential segregation in Helsinki in the 2000's. Due to social mixing and spatial dispersion policies, ethnic segregation in Helsinki has so far been fairly small-scale, concentrated in particular housing blocks. The number of residential buildings with a high share of immigrant population is very modest. However, the number of such buildings has doubled between 1996-2002. The concentration of immigrant population concerns mainly the public housing sector. The difference in the level of concentration between the public housing sector and privately owned housing companies is remarkable.