The Use of virtual reality in the study of people's responses to violent incidents

This paper reviews experimental methods for the study of the responses of people to violence in digital media, and in particular considers the issues of internal validity and ecological validity or generalisability of results to events in the real world. Experimental methods typically involve a significant level of abstraction from reality, with participants required to carry out tasks that are far removed from violence in real life, and hence their ecological validity is questionable. On the other hand studies based on fi eld data, while having ecological validity, cannot control multiple confounding variables that may have an impact on observed results, so that their internal validity is questionable. It is argued that immersive virtual reality may provide a unifi cation of these two approaches. Since people tend to respond realistically to situations and events that occur in virtual reality, and since virtual reality simulations can be completely controlled for experimental purposes, studies of responses to violence within virtual reality are likely to have both ecological and internal validity. This depends on a property that we call"plausibility"- including the fi delity of the depicted situation with prior knowledge and expectations. We illustrate this with data from a previously published experiment, a virtual reprise of Stanley Milgram"s 1960s obedience experiment, and also with pilot data from a new study being developed that looks at bystander responses to violent incidents.

Pohjavesihanke ja sen toteutus

Pohjavesihankkeen onnistunut toteutus vaatii tietoa useilta eri aloilta. Perustieto pohjavesistä, niiden muodostumisesta ja esiintymisestä, pohjavesiä koskevan lainsäädännön ja vedenottoon tarvittavien lupien tuntemus, pohjavesitutkimuksen eri vaiheiden hallitseminen ja tieto näiden vaiheiden kestoon, aikatauluun ja kustannuksiin vaikuttavista tekijöistä ovat kaikki onnistuneen hankkeen edellytyksiä. Tässä diplomityössä selvitetään pohjavesihankkeen eri vaiheet sekä niiden sisältö ja tarvittavat toimenpiteet vesihuoltolaitoksen kannalta.Työssä tarkastellaan yleisesti kunnallista vesihuoltoa Suomessa ja Suomen pohjavesioloja. Lisäksi tarkastellaan pohjavesiä koskevaa lainsäädäntöä sekä pohjavesialueiden kartoituksen ja luokituksen nykytilannetta. Työssä käsitellään esiintymäkohtaisen pohjavesitutkimuksen eri vaiheet menetelmineen. Pohjavesitutkimusten ja pohjavedenoton vaatimat luvat käydään läpi.Pohjavesihanke on jaettu osiin, joiden kestoa ja niihin vaikuttavia tekijöitä tarkastellaan. Lisäksi pohjavesihankkeesta on tehty esimerkkiaikataulu, jossa eri työvaiheiden vaatimat ajat esitetään suhteessa toisiinsa. Hankkeen kustannukset on jaettu henkilöstö-, materiaali- ja muihin kustannuksiin. Näiden rakenne eri työvaiheissa on selvitetty.Joensuun Veden Paavonlammen alueella Kiihtelysvaaran kunnassa tekemän esimerkkihankkeen avulla havainnollistetaan sitä, millä tavoin käyttöön otettavan pohjavesialueen ominaisuudet sekä käytettävissä oleva työvoima ja kalusto vaikuttavat kustannuksiin, aikatauluun ja eri tutkimusvaiheiden tarpeellisuuteen.Pohjavesihanketta aloitettaessa ja sen aikana on kiinnitettävä erityisesti huomiota avoimeen tiedottamiseen vaikutusalueen asukkaille ja maanomistajille. Keskeistä työn edetessä on ottaa huomioon se, että pohjavesihankkeen toteutus etenee vaiheittain aikaisempien tulosten perusteella.

Falsification and corroboration of conceptual hydrological models using geophysical data

Geophysical data may provide crucial information about hydrological properties, states, and processes that are difficult to obtain by other means. Large data sets can be acquired over widely different scales in a minimally invasive manner and at comparatively low costs, but their effective use in hydrology makes it necessary to understand the fidelity of geophysical models, the assumptions made in their construction, and the links between geophysical and hydrological properties. Geophysics has been applied for groundwater prospecting for almost a century, but it is only in the last 20 years that it is regularly used together with classical hydrological data to build predictive hydrological models. A largely unexplored venue for future work is to use geophysical data to falsify or rank competing conceptual hydrological models. A promising cornerstone for such a model selection strategy is the Bayes factor, but it can only be calculated reliably when considering the main sources of uncertainty throughout the hydrogeophysical parameter estimation process. Most classical geophysical imaging tools tend to favor models with smoothly varying property fields that are at odds with most conceptual hydrological models of interest. It is thus necessary to account for this bias or use alternative approaches in which proposed conceptual models are honored at all steps in the model building process.

Design Patterns in EPOC Software Development

Työssä tutkittiin oliosuunnittelumalleja EPOC-käyttöjärjestelmässä. Työssä tutkittiin sekä yleisiä suunnittelumalleja että EPOC-ympäristössä esiintyviä oliorakenteita, niiden aiheuttamia vaatimuksia sovelluksille sekä niiden käyttämisestä saatavia hyötyjä. Työssä toteutettiin EPOC-ohjelmiston suunnittelu hyödyntäen suunnittelumalleja ja periaatteita. Oliosuunnittelumallit ovat yleistyneet huomattavasti viime vuosina. Suunnittelumallien lähtökohtana ovat sekä yleiset että ympäristökohtaiset suunnitteluperiaatteet ja säännöt. Suunnittelumallit ovat osa isompaa rakennekokonaisuutta, joka käsittää sekä prosessi-, analyysi-, arkkitehtuuri- ym. malleja. Oliosuunnittelumallit nopeuttavat ja helpottavat suunnittelua sekä parantavat uudelleenkäytettävyyttä korkeammalla abstraktiotasolla. EPOC on tulevaisuuden mobiililaitteiden yleisimpiä käyttöjärjestelmiä. EPOC on kokonaisuudessaan oliopohjainen ja sisältää lukuisia oliorakenteita, joiden ymmärtäminen on sovelluskehityksen kannalta elintärkeää. Koska ympäristöt, joissa EPOC-käyttöjärjestelmää käytetään, ovat yleensä resurssien puolesta rajoittuneita, on yleisten suunnittelumallien käytössä oltava tarkkana. EPOC vaatii yleisiin suunnittelumalleihin muutoksia ja estää joidenkin käytön kokonaan.

Gas-phase photocatalytic oxidation of volatile organic compounds

Substances emitted into the atmosphere by human activities in urban and industrial areas cause environmental problems such as air quality degradation, respiratory diseases, climate change, global warming, and stratospheric ozone depletion. Volatile organic compounds (VOCs) are major air pollutants, emitted largely by industry, transportation and households. Many VOCs are toxic, and some are considered to be carcinogenic, mutagenic, or teratogenic. A wide spectrum of VOCs is readily oxidized photocatalytically. Photocatalytic oxidation (PCO) over titanium dioxide may present a potential alternative to air treatment strategies currently in use, such as adsorption and thermal treatment, due to its advantageous activity under ambient conditions, although higher but still mild temperatures may also be applied. The objective of the present research was to disclose routes of chemical reactions, estimate the kinetics and the sensitivity of gas-phase PCO to reaction conditions in respect of air pollutants containing heteroatoms in their molecules. Deactivation of the photocatalyst and restoration of its activity was also taken under consideration to assess the practical possibility of the application of PCO to the treatment of air polluted with VOCs. UV-irradiated titanium dioxide was selected as a photocatalyst for its chemical inertness, non-toxic character and low cost. In the present work Degussa P25 TiO2 photocatalyst was mostly used. In transient studies platinized TiO2 was also studied. The experimental research into PCO of following VOCs was undertaken: - methyl tert-butyl ether (MTBE) as the basic oxygenated motor fuel additive and, thus, a major non-biodegradable pollutant of groundwater; - tert-butyl alcohol (TBA) as the primary product of MTBE hydrolysis and PCO; - ethyl mercaptan (ethanethiol) as one of the reduced sulphur pungent air pollutants in the pulp-and-paper industry; - methylamine (MA) and dimethylamine (DMA) as the amino compounds often emitted by various industries. The PCO of VOCs was studied using a continuous-flow mode. The PCO of MTBE and TBA was also studied by transient mode, in which carbon dioxide, water, and acetone were identified as the main gas-phase products. The volatile products of thermal catalytic oxidation (TCO) of MTBE included 2-methyl-1-propene (2-MP), carbon monoxide, carbon dioxide and water; TBA decomposed to 2-MP and water. Continuous PCO of 4 TBA proceeded faster in humid air than dry air. MTBE oxidation, however, was less sensitive to humidity. The TiO2 catalyst was stable during continuous PCO of MTBE and TBA above 373 K, but gradually lost activity below 373 K; the catalyst could be regenerated by UV irradiation in the absence of gas-phase VOCs. Sulphur dioxide, carbon monoxide, carbon dioxide and water were identified as ultimate products of PCO of ethanethiol. Acetic acid was identified as a photocatalytic oxidation by-product. The limits of ethanethiol concentration and temperature, at which the reactor performance was stable for indefinite time, were established. The apparent reaction kinetics appeared to be independent of the reaction temperature within the studied limits, 373 to 453 K. The catalyst was completely and irreversibly deactivated with ethanethiol TCO. Volatile PCO products of MA included ammonia, nitrogen dioxide, nitrous oxide, carbon dioxide and water. Formamide was observed among DMA PCO products together with others similar to the ones of MA. TCO for both substances resulted in the formation of ammonia, hydrogen cyanide, carbon monoxide, carbon dioxide and water. No deactivation of the photocatalyst during the multiple long-run experiments was observed at the concentrations and temperatures used in the study. PCO of MA was also studied in the aqueous phase. Maximum efficiency was achieved in an alkaline media, where MA exhibited high fugitivity. Two mechanisms of aqueous PCO – decomposition to formate and ammonia, and oxidation of organic nitrogen directly to nitrite - lead ultimately to carbon dioxide, water, ammonia and nitrate: formate and nitrite were observed as intermediates. A part of the ammonia formed in the reaction was oxidized to nitrite and nitrate. This finding helped in better understanding of the gasphase PCO pathways. The PCO kinetic data for VOCs fitted well to the monomolecular Langmuir- Hinshelwood (L-H) model, whereas TCO kinetic behaviour matched the first order process for volatile amines and the L-H model for others. It should be noted that both LH and the first order equations were only the data fit, not the real description of the reaction kinetics. The dependence of the kinetic constants on temperature was established in the form of an Arrhenius equation.

Error models in hydrogeology applications

Notre consommation en eau souterraine, en particulier comme eau potable ou pour l'irrigation, a considérablement augmenté au cours des années. De nombreux problèmes font alors leur apparition, allant de la prospection de nouvelles ressources à la remédiation des aquifères pollués. Indépendamment du problème hydrogéologique considéré, le principal défi reste la caractérisation des propriétés du sous-sol. Une approche stochastique est alors nécessaire afin de représenter cette incertitude en considérant de multiples scénarios géologiques et en générant un grand nombre de réalisations géostatistiques. Nous rencontrons alors la principale limitation de ces approches qui est le coût de calcul dû à la simulation des processus d'écoulements complexes pour chacune de ces réalisations. Dans la première partie de la thèse, ce problème est investigué dans le contexte de propagation de l'incertitude, oú un ensemble de réalisations est identifié comme représentant les propriétés du sous-sol. Afin de propager cette incertitude à la quantité d'intérêt tout en limitant le coût de calcul, les méthodes actuelles font appel à des modèles d'écoulement approximés. Cela permet l'identification d'un sous-ensemble de réalisations représentant la variabilité de l'ensemble initial. Le modèle complexe d'écoulement est alors évalué uniquement pour ce sousensemble, et, sur la base de ces réponses complexes, l'inférence est faite. Notre objectif est d'améliorer la performance de cette approche en utilisant toute l'information à disposition. Pour cela, le sous-ensemble de réponses approximées et exactes est utilisé afin de construire un modèle d'erreur, qui sert ensuite à corriger le reste des réponses approximées et prédire la réponse du modèle complexe. Cette méthode permet de maximiser l'utilisation de l'information à disposition sans augmentation perceptible du temps de calcul. La propagation de l'incertitude est alors plus précise et plus robuste. La stratégie explorée dans le premier chapitre consiste à apprendre d'un sous-ensemble de réalisations la relation entre les modèles d'écoulement approximé et complexe. Dans la seconde partie de la thèse, cette méthodologie est formalisée mathématiquement en introduisant un modèle de régression entre les réponses fonctionnelles. Comme ce problème est mal posé, il est nécessaire d'en réduire la dimensionnalité. Dans cette optique, l'innovation du travail présenté provient de l'utilisation de l'analyse en composantes principales fonctionnelles (ACPF), qui non seulement effectue la réduction de dimensionnalités tout en maximisant l'information retenue, mais permet aussi de diagnostiquer la qualité du modèle d'erreur dans cet espace fonctionnel. La méthodologie proposée est appliquée à un problème de pollution par une phase liquide nonaqueuse et les résultats obtenus montrent que le modèle d'erreur permet une forte réduction du temps de calcul tout en estimant correctement l'incertitude. De plus, pour chaque réponse approximée, une prédiction de la réponse complexe est fournie par le modèle d'erreur. Le concept de modèle d'erreur fonctionnel est donc pertinent pour la propagation de l'incertitude, mais aussi pour les problèmes d'inférence bayésienne. Les méthodes de Monte Carlo par chaîne de Markov (MCMC) sont les algorithmes les plus communément utilisés afin de générer des réalisations géostatistiques en accord avec les observations. Cependant, ces méthodes souffrent d'un taux d'acceptation très bas pour les problèmes de grande dimensionnalité, résultant en un grand nombre de simulations d'écoulement gaspillées. Une approche en deux temps, le "MCMC en deux étapes", a été introduite afin d'éviter les simulations du modèle complexe inutiles par une évaluation préliminaire de la réalisation. Dans la troisième partie de la thèse, le modèle d'écoulement approximé couplé à un modèle d'erreur sert d'évaluation préliminaire pour le "MCMC en deux étapes". Nous démontrons une augmentation du taux d'acceptation par un facteur de 1.5 à 3 en comparaison avec une implémentation classique de MCMC. Une question reste sans réponse : comment choisir la taille de l'ensemble d'entrainement et comment identifier les réalisations permettant d'optimiser la construction du modèle d'erreur. Cela requiert une stratégie itérative afin que, à chaque nouvelle simulation d'écoulement, le modèle d'erreur soit amélioré en incorporant les nouvelles informations. Ceci est développé dans la quatrième partie de la thèse, oú cette méthodologie est appliquée à un problème d'intrusion saline dans un aquifère côtier. -- Our consumption of groundwater, in particular as drinking water and for irrigation, has considerably increased over the years and groundwater is becoming an increasingly scarce and endangered resource. Nofadays, we are facing many problems ranging from water prospection to sustainable management and remediation of polluted aquifers. Independently of the hydrogeological problem, the main challenge remains dealing with the incomplete knofledge of the underground properties. Stochastic approaches have been developed to represent this uncertainty by considering multiple geological scenarios and generating a large number of realizations. The main limitation of this approach is the computational cost associated with performing complex of simulations in each realization. In the first part of the thesis, we explore this issue in the context of uncertainty propagation, where an ensemble of geostatistical realizations is identified as representative of the subsurface uncertainty. To propagate this lack of knofledge to the quantity of interest (e.g., the concentration of pollutant in extracted water), it is necessary to evaluate the of response of each realization. Due to computational constraints, state-of-the-art methods make use of approximate of simulation, to identify a subset of realizations that represents the variability of the ensemble. The complex and computationally heavy of model is then run for this subset based on which inference is made. Our objective is to increase the performance of this approach by using all of the available information and not solely the subset of exact responses. Two error models are proposed to correct the approximate responses follofing a machine learning approach. For the subset identified by a classical approach (here the distance kernel method) both the approximate and the exact responses are knofn. This information is used to construct an error model and correct the ensemble of approximate responses to predict the "expected" responses of the exact model. The proposed methodology makes use of all the available information without perceptible additional computational costs and leads to an increase in accuracy and robustness of the uncertainty propagation. The strategy explored in the first chapter consists in learning from a subset of realizations the relationship between proxy and exact curves. In the second part of this thesis, the strategy is formalized in a rigorous mathematical framework by defining a regression model between functions. As this problem is ill-posed, it is necessary to reduce its dimensionality. The novelty of the work comes from the use of functional principal component analysis (FPCA), which not only performs the dimensionality reduction while maximizing the retained information, but also allofs a diagnostic of the quality of the error model in the functional space. The proposed methodology is applied to a pollution problem by a non-aqueous phase-liquid. The error model allofs a strong reduction of the computational cost while providing a good estimate of the uncertainty. The individual correction of the proxy response by the error model leads to an excellent prediction of the exact response, opening the door to many applications. The concept of functional error model is useful not only in the context of uncertainty propagation, but also, and maybe even more so, to perform Bayesian inference. Monte Carlo Markov Chain (MCMC) algorithms are the most common choice to ensure that the generated realizations are sampled in accordance with the observations. Hofever, this approach suffers from lof acceptance rate in high dimensional problems, resulting in a large number of wasted of simulations. This led to the introduction of two-stage MCMC, where the computational cost is decreased by avoiding unnecessary simulation of the exact of thanks to a preliminary evaluation of the proposal. In the third part of the thesis, a proxy is coupled to an error model to provide an approximate response for the two-stage MCMC set-up. We demonstrate an increase in acceptance rate by a factor three with respect to one-stage MCMC results. An open question remains: hof do we choose the size of the learning set and identify the realizations to optimize the construction of the error model. This requires devising an iterative strategy to construct the error model, such that, as new of simulations are performed, the error model is iteratively improved by incorporating the new information. This is discussed in the fourth part of the thesis, in which we apply this methodology to a problem of saline intrusion in a coastal aquifer.

Ecosystem impacts of Alpine water intakes for hydropower: the challenge of sediment management

The natural flow hydrological characteristics (such as the magnitude, frequency, duration, timing, and rate of change of discharge) of Alpine streams, dominated by snowmelt and glacier melt, have been established for many years. More recently, the ecosystems that they sustain have been described and explained. However, natural Alpine flow regimes may be strongly modified by hydroelectric power production, which impacts upon both river discharge and sediment transfer, and hence on downstream flora and fauna. The impacts of barrages or dams have been well studied. However, there is a second type of flow regulation, associated with flow abstraction at intakes where the water is transferred laterally, either to another valley for storage, or at altitude within the same valley for eventual release downstream. Like barrages, such intakes also trap sediment, but because they are much smaller, they fill more frequently and so need to be flushed regularly. Downstream, while the flow regime is substantially modified, the delivery of sediment (notably coarser fractions) remains. The ecosystem impacts of such systems have been rarely considered. Through reviewing the state of our knowledge of Alpine ecosystems, we outline the key research questions that will need to be addressed in order to modify intake management so as to reduce downstream ecological impacts. Simply redesigning river flows to address sediment management will be ineffective because such redesign cannot restore a natural sediment regime and other approaches are likely to be required if stream ecology in such systems is to be improved.

Concurrent : Easy to use Python computing environment

Concurrent aims to be a different type of task distribution system compared to what MPI like system do. It adds a simple but powerful application abstraction layer to distribute the logic of an entire application onto a swarm of clusters holding similarities with volunteer computing systems. Traditional task distributed systems will just perform simple tasks onto the distributed system and wait for results. Concurrent goes one step further by letting the tasks and the application decide what to do. The programming paradigm is then totally async without any waits for results and based on notifications once a computation has been performed.

Estudi de la comprensió i de les estratègies per resoldre problemes de suma i resta

Aquest treball de recerca estudia i analitza la comprensió i les estratègies utilitzades per alumnes de 2n de primària a l’hora de resoldre problemes aritmètics de suma i resta. Per aconseguir aquest propòsit, s’ha portat a terme el disseny i l’aplicació d’una prova individual de resolució de problemes, passada abans i després d’una intervenció educativa enfocada a millorar les dificultats detectades a l’hora de resoldre problemes. A partir de l’anàlisi de les dades obtingudes es verificarà si després de treballar el procés de resolució i d’incidir en les estratègies per resoldre problemes additius amb els alumnes millora la comprensió i les estratègies aparegudes s’adeqüen al tipus d’operació aritmètica que es demana.

Opinion Mining

In this thesis we study the field of opinion mining by giving a comprehensive review of the available research that has been done in this topic. Also using this available knowledge we present a case study of a multilevel opinion mining system for a student organization's sales management system. We describe the field of opinion mining by discussing its historical roots, its motivations and applications as well as the different scientific approaches that have been used to solve this challenging problem of mining opinions. To deal with this huge subfield of natural language processing, we first give an abstraction of the problem of opinion mining and describe the theoretical frameworks that are available for dealing with appraisal language. Then we discuss the relation between opinion mining and computational linguistics which is a crucial pre-processing step for the accuracy of the subsequent steps of opinion mining. The second part of our thesis deals with the semantics of opinions where we describe the different ways used to collect lists of opinion words as well as the methods and techniques available for extracting knowledge from opinions present in unstructured textual data. In the part about collecting lists of opinion words we describe manual, semi manual and automatic ways to do so and give a review of the available lists that are used as gold standards in opinion mining research. For the methods and techniques of opinion mining we divide the task into three levels that are the document, sentence and feature level. The techniques that are presented in the document and sentence level are divided into supervised and unsupervised approaches that are used to determine the subjectivity and polarity of texts and sentences at these levels of analysis. At the feature level we give a description of the techniques available for finding the opinion targets, the polarity of the opinions about these opinion targets and the opinion holders. Also at the feature level we discuss the various ways to summarize and visualize the results of this level of analysis. In the third part of our thesis we present a case study of a sales management system that uses free form text and that can benefit from an opinion mining system. Using the knowledge gathered in the review of this field we provide a theoretical multi level opinion mining system (MLOM) that can perform most of the tasks needed from an opinion mining system. Based on the previous research we give some hints that many of the laborious market research tasks that are done by the sales force, which uses this sales management system, can improve their insight about their partners and by that increase the quality of their sales services and their overall results.

Fotólise no estado estacionário e com pulso de laser de 1-benzociclanonas e de seus derivados a,a -dimetilados

Laser excitation of 0.01 M solutions of 1-indanone (Ia), 1-tetralone (Ib), 1-benzosuberone (Ic), and their a,a -dimethyl derivatives IIa-c, respectively, in benzene, produced transients with maximum absorption at 425 nm, and lifetimes ranging from 62 ns (IIa) to 5.5ms (Ic). Quenching studies using well known triplet quenchers such as 1,3-cyclohexadiene and oxygen demonstrated the triplet nature of these transients. In the presence of hydrogen donors, such as 2-propanol, the triplet state decay of the ketones Ia-c leads to the formation of the corresponding ketyl radicals, i.e. IIIa-c, which show absorption spectra very similar to the parent ketone, with lmax at 430 nm and lifetime in excess of 20 ms. Steady state irradiations show that the a,a -dimethyl ketones IIa and IIc form ortho-alkyl benzaldehydes probably derived from an initial a-cleavage of the corresponding triplet excited states.

Ympäristöteknologioiden verifioinnin mahdollisuudet pilaantuneiden maiden laadukkaan käsittelyn edistämisessä

EU on käynnistämässä ympäristöteknologioiden verifiointijärjestelmää, jonka avulla voidaan tarjota käyttäjille ja sijoittajille riippumatonta tietoa innovatiivisten teknologioiden toimivuudesta ja suorituskyvystä ja parantaa niiden markkina-asemaa. Verifioinnilla tarkoitetaan kolmannen osapuolen suorittamaa prosessia tai mekanismia, jonka avulla tuotteen toiminta ja suorituskyky voidaan todentaa. Kansallinen ympäristöteknologioiden verifiointijärjestelmä on käytössä mm. Yhdysvalloissa ja Kanadassa. Euroopassa järjestelmä otettaneen käyttöön vuonna 2011–2012. Suomessa tehdään nykyisin noin 300 pilaantuneen maan puhdistushanketta koskevaa lupa- ja ilmoituspäätöstä vuosittain. Noin 85 prosentissa kohteista käytetään kunnostusmenetelmänä massanvaihtoa. Massanvaihto tulee ainakin toistaiseksi säilymään yleisimpänä kunnostusmenetelmänä, mutta mm. in situ -menetelmien käytön arvioidaan lisääntyvän. Tämän diplomityön tavoitteena oli arvioida voidaanko verifiointia hyödyntää pilaantuneiden maiden laadukkaan käsittelyn edistämisessä ja voiko verifiointi nopeuttaa innovatiivisten kunnostusmenetelmien markkinoillepääsyä. Aihetta tarkasteltiin mm. kahden erityyppisen pilaantuneen maan ja pohjaveden kunnostusmenetelmän, reaktiivisten seinämien (in situ) ja bitumistabiloinnin (ex situ) kautta. Pilaantuneiden maiden kunnostusmenetelmien toimivuus riippuu monista eri tekijöistä, joista osaa ei voida hallita tai mallintaa luotettavasti. Verifiointi soveltuukin parhaiten laitteiden tai PIMA-menetelmiä yksinkertaisempien puhdistusmenetelmien suorituskyvyn todentamiseen. Verifiointi saattaa kuitenkin hyvin toimia PIMA-kunnostuksen kohdalla esimerkiksi tiedollisena ohjauskeinona. Reaktiivisten seinämien ja bitumistabiloinnin verifioinnin työvaiheet ovat hyvin samankaltaiset, suurimpana erona seinämien kohdalla tulee kuvata myös kohde johon seinämä on asennettu. Reaktiivisten seinämien toiminta on riippuvaista monista ympäristötekijöistä, toisin kuin erillisellä laitteistolla suoritettavan bitumistabiloinnin. Tulosten perusteella voidaan yleistää, että verifiointi soveltuu paremmin ex situ -, kuin in situ -kunnostusmenetelmille.

Contaminação do ambiente aquático por pesticidas. Estudo de caso: águas usadas para consumo humano em Primavera do Leste, Mato Grosso - análise preliminar

A preliminary analyses of the possible contamination of superficial and underground water by the active ingredients of the pesticide products used in the surroundings of the urban area of Primavera do Leste, Mato Grosso, Brazil, was carried out. A description of the study region and of its environmental characteristics, which can favor the contamination of the local aquatic environment, was presented. The EPA screening criteria, the groundwater ubiquity score (GUS) and the criteria proposed by Goss were used to evaluate which pesticides might contaminate the local waters. Among the active ingredients studied, several present risks to the local aquatic environment.

Toimintamalli asuinkiinteistö öljyvahingon hoitamiseksi

Pienkiinteistöjen öljyvahingot ovat viime vuosina lisääntyneet. Tämän työn tarkoituksena on luoda öljyvahingon torjuntaan ja jälkihoitoon osallistuvalle urakoitsijalle toimintamalli asuinkiinteistön öljyvahingon hoitamiseksi. Mallin halutaan erityisesti kuvaavan öljyvahingon hoitoon osallistuvien viranomaisten ja muiden tahojen vastuita ja velvollisuuksia. Työn tavoitteena on myös tunnistaa pienkiinteistöissä tapahtuvat öljyvahinkotyypit sekä niille altistavat riskitekijät. Öljyn päästäminen ympäristöön sekä öljyn käsittely ja varastointi niin, että siitä aiheutuu öljyvahingon vaara, kielletään laissa. Vahinkojen torjumiseksi on annettu määräyksiä muun muassa öljylämmityslaitteistojen turvallisuutta koskien. Asuinkiinteistöjen öljyvahingot liittyvät yleensä öljysäiliön täyttötilanteisiin. Vahinkojen syynä on usein säiliön ja sen varusteiden puutteellisuus tai huono kunto. Asuinrakennusten lämmitykseen käytetään kevyttä polttoöljyä. Maahan joutuessaan polttoöljy imeytyy sora- ja hiekkamaahan nopeasti, jolloin vaarana on öljyn kulkeutuminen pohjaveteen ja vesistöihin. Asuinkiinteistön öljyvahingossa öljyä joutuu usein myös rakenteisiin. Öljyvahingosta tulee ilmoittaa aina hätäkeskukseen. Vastuu öljyvahinkojen torjunnasta kuuluu alueelliselle pelastustoimelle. Torjuntatoimiin osallistuu usein myös urakoitsija. Jos vahinkokohdetta ei torjuntatoimin saada kunnostettua, alueellinen ympäristökeskus voi määrätä puhdistamisesta vastuussa olevan selvittämään pilaantuneen alueen laajuuden ja puhdistamistarpeen sekä toteuttamaan mahdollisen kunnostuksen. Pilaantuneen maaperän kunnostus voidaan toteuttaa massan vaihtona tai paikan päällä maata kaivamatta. Likaantuneiden rakenteiden saneerausta tarvitaan sisäilman hajuhaittojen poistamiseksi. Öljyvahingon kustannukset voivat nousta hyvinkin suuriksi. Ensisijainen vastuu niistä kuuluu vahingonaiheuttajalle.