It is a dilemma problem to achieve both these two goals: a) to maintain a best indoor air quality and b) to use a most efficient energy for a house at the same time. One of the outstanding components involving these goals is a smart ventilation system in the house. Smart ventilation strategies, including demand-controlled ventilation (DCV), have been of great interests and some studies believe that DCV strategies have the potential for energy reductions for all ventilation systems. This research aims to improve smart ventilation system, in aspects of energy consumption, indoor CO2 concentrations and living comfortness, by analyzing long-term sensor data. Based on a case study on an experimental house -- Dalarnas Villa, this research investigates how the current two ventilations modes work in the house and improves its ventilation system by developing customized ventilation schedules. A variety of data analysis methods were used in this research. Clustering analysis is used to identify the CO2 patterns and hence determine the residents living patterns; correlation analysis and regression analysis are used to quantify a model to estimate fan energy consumption; a mathematical model is built to simulation the CO2 decreasing when the house is under 0 occupancy. And finally, two customized schedules are created for a typical workday and holiday, respectively, which show advantages in all aspects of energy consumption, CO2 concentrations and living comfortness, compared with the current ventilation modes.

Highly accurate analysis for the quantification of sulphur compounds and oxygenated volatile organic compounds are crucial for the adherence of the legislation in different environmental sectors. The sulphur compounds and oxygenated volatile organic compounds measurements are challenging, due to various factors such as molecules being adsorbed on the inner surfaces of cylinders. It is therefore important to produce accurate and reliable reference gas mixtures with mole fraction at ambient levels for the air quality monitoring and field of gas sensing in South Africa. The challenges in producing sulphur compounds and oxygenated volatile organic compounds reference gas mixtures are that the overall process from gravimetric preparation steps until the comparison analysis process and the stability of mixture in the gas cylinder, results in the large measurement uncertainties. In order to produce reference gas mixtures of the highest level, three important steps are followed: purity assessment of starting material, gravimetric preparation, and verification/validation of prepared gas mixtures. The purity analysis of high purity starting materials was determined using gas chromatography coupled with various detectors and Karl Fischer for determination of moisture content in high purity chemicals. The sulphur compounds and oxygenated volatile organic compounds to be developed in this study were hydrogen sulphide, sulphur dioxide, acetone, methanol, ethanol, isopropanol, and n-butanol. These components were produced following the International Organisation for Standardisation documents at mole fraction of 10 µmol/mol for sulphur compounds and 5 µmol/mol for oxygenated volatile organic compounds. The preparation of sulphur compounds reference gas mixtures was done with a static gravimetric method using a direct method where a target component was transferred directly into the cylinder. The preparation of oxygenated volatile organic compounds used an indirect method whereby a target liquid component from high purity chemicals was transferred into a cylinder using a gas-tight syringe.The comparison between the reference gas mixtures was validated using Non-Dispersive Ultra-Violet analysers (NDUV), gas chromatograph coupled with pulsed discharge helium ionisation detector (GC-PDHID, UV fluorescence analysers for sulphur compounds and gas chromatograph coupled with flame ionisation detector (GC-FID) for the oxygenated volatile organic compounds. A multi-point calibration method was used to analyse sulphur dioxide and hydrogen sulphide on the NDUV analyser, and the single-point calibration method was used for analysis on the gas chromatography and UV fluorescence where a sample mixture is analysed against a reference mixture with a similar mole fraction. The statistical data considered during analysis included calculation of the instrument drift and percentage relative standard deviation to check measurements repeatability, reliability, and measurement uncertainty. The gravimetric results of prepared sulphur compounds at 10 µmol/mol gave a percentage relative expanded uncertainty of 0.041 % REU for hydrogen sulphide, 0.12 % REU for sulphur dioxide. The gravimetric results of prepared oxygenated volatile organic compounds at 5 µmol/mol showed a percentage relative expanded uncertainty 0.068 to 0.35 % REU for isopropanol and ethanol respectively and less than 2.4 % REU for multi component of oxygenated volatile organic compounds. Finally, the primary standard gas mixtures of sulphur compounds and oxygenated volatile organic compounds were developed with the highest metrological measurement uncertainty level of (k=2). / Environmental Sciences / M. Sc. (Environmental Sciences)

La combustion de la biomasse est l’une des sources majoritaires de particules atmosphériques en périodes hivernales dans les vallées alpines, et particulièrement en vallée de l’Arve où des dépassements des seuils européens sont très régulièrement observés. Ceci a conduit à la mise en place d’un large programme de remplacement des dispositifs de chauffage au bois les moins performants dans le cadre d’une des actions du Plan de Protection de l’Atmosphère, le Fond Air Bois. Le projet DECOMBIO (DÉconvolution de la contribution de la COMbustion de la BIOmasse aux PM10 dans la vallée de l’Arve) a ainsi été mis en place en octobre 2013 afin de mesurer l’impact de cette politique de rénovation des appareils de chauffage au bois sur la qualité de l’air. C’est dans ce programme que s’inscrivent ces travaux de thèse dont l’objectif principal est de valider les méthodologies mises en place en routine pour permettre une déconvolution rapide de la combustion de la biomasse et mettre en relation les éventuels changements observés avec les avancées des remplacements de dispositifs de chauffage au bois domestiques.Pour mener à bien ce travail, trois sites, représentant les différentes situations de la vallée de l’Arve, ont été instrumentés (Marnaz, Passy et Chamonix) afin de suivre en continu, et tout au long du projet DECOMBIO, l’évolution des concentrations atmosphériques du Black Carbon (BC) et des traceurs moléculaires permettant de distinguer la contribution de la combustion de la biomasse des autres types de combustion. Un important jeu de données a été acquis entre novembre 2013 et octobre 2014 grâce à des prélèvements réguliers sur filtre permettant une caractérisation très fine de la composition chimique des particules atmosphériques. L’utilisation de l’approche statistique « Positive Matrix Factorization » (PMF) a permis de mieux appréhender les différentes sources entrant en jeu dans les émissions de particules au sein de cette vallée avec notamment un intérêt particulier pour les émissions de la combustion de la biomasse. Le développement de cette méthodologie d’attribution et de quantification des sources de particules basé sur l’utilisation de traceurs organiques spécifiques, de contraintes particulières appliquées à ce modèle et de données de déconvolution de la matière carbonée constitue une avancée importante dans la définition des facteurs sources issus de ce modèle.Les méthodologies développées au cours de ce travail, permettant une amélioration des connaissances et des contributions des sources, constituent donc des outils directement utilisables par les Associations Agréées de Surveillance de la Qualité de l’Air (AASQA), notamment pour l’évaluation quantitative des mesures prises pour améliorer la qualité de l’air dans le cadre de Plans de Protection de l’Atmosphère, entre autres celui de la vallée de l’Arve. / Biomass burning is one of the major sources of atmospheric particles during wintertime in Alpine valleys, and more especially in the Arve valley where exceedances of the European regulated limit value are regularly observed. This situation led to the establishment of an important program of replacement of old wood stoves with new ones as part of an action of an Atmospheric Protection Plan (APP), the “Fonds Air Bois”. The research program DECOMBIO (“DÉconvolution de la contribution de la COMbustion de la BIOmasse aux PM10 dans la vallée de l’Arve”) has been set up in October 2013 to estimate the impact of this wood stoves renewal policy on air quality. This thesis works be incorporated within this program and have for main objective to validate methodologies used in routine to enable a fast deconvolution of the biomass burning source and to compare any observed changes with progress of wood stove changeout.To complete this work, three sites, representing the different situations of the Arve valley, were instrumented (Marnaz, Passy and Chamonix) to monitor the continuing evolution of atmospheric concentrations of Black Carbon (BC) and molecular markers enabling to distinguish between the biomass burning contribution and that of other types of combustion. A large dataset was acquired between November 2013 and October 2014 thanks to regular filter samples enabling a vast chemical characterization of PM10. The use of statistical analysis “Positive Matrix Factorization” (PMF) has led to an enhanced appreciation of particle emission sources within this valley with a focus on biomass burning emissions. The development of this methodology of identification and source apportionment based on the use of specific organic markers, specific constraints and data from carbonaceous matter deconvolution is an important progress in definition of factors from this model.The developed methodologies during this work, enabling an improvement of knowledges and source apportionment, are tools directly usable by French Accredited Associations for Air Quality Monitoring, especially for the quantitative assessment of actions introduced to improve air quality as part of Atmospheric Protection Plans, for example the one in the Arve valley.

La pollution de l’air intérieur est aujourd’hui reconnue comme un enjeu de santé publique. La règlementation impose depuis 2012 un étiquetage des matériaux de construction et d’ameublement en matière d’émission de polluants volatils. Bien que les méthodes de mesure d’émission de polluants soient nombreuses, il n’existe aucun matériau-standard émissif de référence pour les polluants de l’air intérieur qui permettrait la comparaison et la validation des mesures d’émission. L’objectif de ce travail est de produire des matériaux émissifs de référence en utilisant des matériaux à porosité contrôlée avec des tailles de pores adaptées à celle du polluant-cible pour un relargage contrôlé en concentration en fonction du temps. Les matériaux étudiés sont des polymères inorganiques ou hybrides organique-inorganiques synthétisés par voie sol-gel sous forme de blocs monolithiques ou déposés sur des substrats solides (verre ou textile). Différents matériaux microporeux ou/et mésoporeux ont été dopés au toluène et au naphtalène par exposition à leur vapeur saturante pendant des durées variables (2h à plusieurs jours). Ceci permet d’étudier l’influence de la taille des pores du matériau sur la vitesse de relargage du polluant. Le suivi cinétique du relargage spontané des polluants est réalisé selon un 1er mode statique avec une mesure optique du spectre d’absorption du polluant gazeux dans l’UV en fonction du temps. Dans le 2ème mode, le relargage dynamique sous balayage d’air du matériau dopé disposé dans une cellule FLEC normalisée est réalisé avec une mesure en continu de la concentration du polluant par chromatographie en phase gazeuse. Nous avons montré qu’il est possible de produire des matériaux à porosité contrôlée avec des gammes de distributions de tailles de pores allant de 0,8 à 12 nm. En choisissant judicieusement la matrice poreuse et la durée de dopage et en contrôlant les conditions de mise en œuvre (température, humidité), nous pouvons imposer la vitesse de relargage du polluant. Les gammes de vitesses d’émission vont de 30 µg.m-3.h-1 (classe A+) à 8.104 µg.m-3.h-1 (classe C) pour le toluène et de 2,6.103 à 2,6.104 µg.m-3.h-1 pour le naphtalène. Ces résultats montrent que ces matériaux pourront être utilisés pour une large gamme de polluants. / Indoor air pollution is now recognized as a public health issue. Since 2012, the regulations have required the labelling of construction and furnishing materials with regard to the emission of volatile pollutants. Although there are many methods for measuring pollutant emissions, there is no standard reference emissive material for indoor air pollutants that would allow for comparison and validation of emission measurements. The objective of this work is to produce reference emissive materials by using porous materials with pore sizes tailored to the doped target pollutant with controlled release in pollutant concentration over time. The materials studied are inorganic or hybrid organic-inorganic polymers synthesized by sol-gel in the form of monolithic blocks or deposited on solid substrates (glass or textile). Various microporous and/or mesoporous materials have been doped with toluene and naphthalene pollutants by exposure to the latters’ saturated vapour for varying periods of time (2 hours to several days). The influence of the size of the pores of the material on the release of the pollutant has been studied. The kinetic monitoring of the spontaneous release of pollutants is carried out in two independent modes. A 1st static mode involves an optical measurement of the absorption spectrum of the gaseous pollutant in the UV as a function of time. In the 2nd mode, the dynamic air-sweeping release of the doped material placed in a standard FLEC cell is carried out with continuous measurement of the pollutant concentration by gas chromatography. We have shown that it is possible to produce materials with controlled porosity with narrow pore size distributions over the 0.8 to 12 nm domain. Further, by choosing judiciously the porous matrix and doping time and controlling the experimental conditions of release (temperature, humidity), we can impose the rate of release of the pollutant. The emission velocity ranges from 30 µg.m-3.h-1 (class A+) to 8.104 µg.m-3.h-1 (class C) for toluene and from 2.6.103 to 2.6.104 µg.m-3.h-1 for naphthalene. These results indicate that these materials can be used for a wide range of pollutants.

Les particules en suspension dans l’air (notées « PM » pour « Particulate matter ») sont aujourd’hui au cœur des préoccupations sociétales en raison de leur impact majeur sur la santé publique et leur forte participation au changement climatique. La matière organique (MO) représente généralement la première composante en masse des PM mais reste encore très mal appréhendée, en particulier la fraction organique d’origine biogénique primaire (PBOA). Des sucres primaires sont proposés comme des traceurs moléculaires pour étudier les processus de transport atmosphérique ainsi que pour estimer la contribution des PBOAs à la masse totale des PM. Cependant, les connaissances sont encore très limitées sur leurs distributions spatiales et temporelles (i.e., cycles journaliers, saisonniers et annuels), leurs principales sources d’émissions, ou encore les facteurs environnementaux qui déterminent leurs concentrations atmosphériques. Par ailleurs, si la comprehension du potentiel oxydant (PO) —proxy de l’effet sanitaire des PM— inhérent à la composante chimique des aérosols a relativement bien avancé ces dernières années, la contribution de cette fraction PBOA est encore est très mal connue. Ces différents aspects constituent les objectifs de ce travail de thèse. D’un point de vue méthodologique, nos questions ont été abordées par une approche interdisciplinaire, qui a impliquée l’exploitation statistique d’une large base de données et le couplage de campagnes de terrain spécifiques avec la mise en œuvre d’une stratégie expérimentale novatrice développée pour l’étude simultanée des caractéristiques chimiques et microbiologiques des échantillons prélevés.Dans un premier travail basé sur l’exploitation d’une large base de données, nous avons montré que les PBOAs constituent une fraction très importante des PM en France, independamment de la typologie de l’environnement, contribuant en moyenne annuelle à 13 ± 4 % de la MO dans les PM10. On met en évidence une similitude entre les évolutions temporelles de concentrations et de ratios entre sucres primaires pour des sites localisés dans une même région géographique (jusqu’à une distance inter-sites d’environ 200 km). Ces observations indiquent que la source PBOA est très homogène spatialement sur des distances cohérentes avec celle de grands types d'écosystèmes. Cette observation a ensuite été validée par une expérimentation basée sur deux échantillonnages annuels de terrain qui nous a permis de démontrer (i) que les évolutions journalières des concentrations atmosphériques en sucres primaires sont déterminées par seulement quelques taxons microbiens atmosphériques, variables d’un point de vue regionale ; et (ii) que ces taxons proviennent respectivement de la flore locale et régionale pour les sites d’étude qui sont directement influencés et non par les activités agricoles. Enfin, dans le cadre d’étude de PO, nos résultats ont permis de démontrer (i) que tous les bioaérosols modèles testés possèdent un PO intrinsèque significatif, comparable pour certaines espèces à celui de composants chimiques atmosphériques modèles connus pour leur forte reactivité redox ; et (ii) qu’ils sont capables d’influencer significativement le PO des PM chimiques modèles ou collectées en condition réelle.Ces travaux apportent un nouveau regard sur l’importance massique des PBOAs et des nouvelles connaissances sur les sources et processus dominants conduisant à leur introduction dans l’atmosphère, ainsi que l’influence des facteurs environnementaux sur ces processus. L’ensemble des résultats de ce travail plaide pour une prise en compte systematique des PBOAs dans les modèles de chimie atmosphérique pour une meilleure prédiction de la qualité de l’air. / Airborne particles (called « PM » for Particulate matter") are nowadays at the core of societal concerns because of their major impact on public health and their strong participation in climate change. Organic matter (OM) generally represents the first mass component of PM but it is still poorly understood, in particular the organic fraction from primary biogenic origin (PBOA). Some specific primary sugars are proposed as molecular tracers to study the atmospheric transport processes as well as to estimate the contribution of PBOAs to the total mass of PM. However, knowledge is still very limited about their spatial and temporal distributions (i.e., daily, seasonal and annual cycles), their main emission sources, or the environmental factors that drive their atmospheric concentrations. Moreover, although the understanding of the oxidative potential (OP) —a proxy of the health effect of PM— inherent in the chemical component of aerosols has progressed quite well in recent years, the contribution of this PBOA fraction is still very poorly understood. These aspects constitute the main objectives of this thesis work. From a methodological point of view, our questions were addressed by an interdisciplinary approach, which involved the statistical exploitation of a large database and the coupling of specific field campaigns with the implementation of an innovative experimental strategy developed for the simultaneous study of the chemical and microbiological characteristics of the samples collected.In a first work based on the exploitation of a large database, we showed that PBOAs constitute a very important fraction of PM in France, regardless of the typology of the environment, contributing on average to 13 ± 4% of the annual MO in PM10. We observed a synchronous temporal trends in both concentrations and ratios between primary sugars species for sites located in the same geographical region (up to an inter-site distance of about 200 km). These observations indicate that the PBOA source is very spatially homogeneous over distances consistent with those of large ecosystem types. This observation was then validated by an experimental approach based on two annual field sampling studies that allowed us to demonstrate (i) that daily changes in atmospheric concentrations of primary sugars are drived by only a few regionally variable atmospheric microbial taxa; and (ii) that these taxa come from local and regional flora for study sites that are directly influenced and not by agricultural activities, respectively. Finally, in the framework of the OP study, our results demonstrated (i) that all the tested model bioaerosols have a significant intrinsic OP, which is comparable for some species to the model atmospheric chemical components known for their high redox reactivity; and (ii) that they can significantly influence the OP of chemical PM models or sampled under real ambient conditions.This work provides a different look into the mass importance of PBOAs and new insights into the dominant sources and processes leading to their introduction into the atmosphere, as well as the influence of environmental factors on these processes. Alltogether these results argue for a systematic consideration of PBOAs in atmospheric chemistry models for better prediction of air quality.

No description available.

Non-exhaust PM10 is an issue in the urban environment linked to health issues. Emissions of non-exhaust PM10 is relatable to pavement properties. Also of importance is resuspension of road dust stored from surfaces. This depends on the traffic and metrological conditions. Given this, the purpose of the thesis was to give an overview limited to Sweden and the Nordic countries regarding non-exhaust PM10 emissions and road dust. The overview includes how particles are related to human health. Also included is the principle of how particles are emitted from road surface and tyre interaction, both directly and through resuspension of road dust. This thesis also includes an overview of how the use of studded tyres impact on asphalt surfacings and how the properties of the materials used impact on the abrasion wear. This is then linked to the emissions of non-exhaust particles. Further described is how measurements can be done of ambient particles and road dust, followed on two major models for road abrasion wear and non-exhaust PM prediction. Also included is how road operation, e.g. traction sanding and dust binding, influence the particle emissions together with other options to reduce the emissions through, e.g. limiting the use of studded tyres. One special issue discussed in this thesis is the lack of holistic view regarding the environmental problems in the urban environment with focus on particle emissions and road noise emissions, both from the road surface and tyre interaction. Currently the most problematic issue is prioritized and the resulting solution to that specific problem might increase other problems. This thesis shows that much knowledge is available regarding non-exhaust PM10 emissions and road dust, but also that several knowledge gaps exists. Several suggestions on further studies is given together with a brief overview on the continued work forward from this thesis. / Icke-avgasemissioner av PM10 är ett problem i urbana miljöer länkat till flera hälsoaspekter. Dessa emissioner kan relateras till beläggningars egenskaper. Även resuspension av vägdamm från ytor är av betydelse och beror på både trafiken och meterologin. Baserat på detta är syftet med denna avhandling att ge en översikt kring icke-avgas PM10 emissioner och vägdamm, begränsat till Sverige och de övriga nordiska länderna. Denna översikt inkluderar hur partiklar relaterar till människans hälsa. Annat som inkluderas är hur partiklarna emitteras från vägyta-däckinteraktionen, både direkt och genom resuspension av vägdamm. Avhandlingen inkluderar även en översikt kring hur användandet av dubbdäck inverkar på vägbeläggningar och hur dess egenskaper inverkar på nötningsslitage. Detta länkas därefter till partikelemissioner. Vidare beskrivs även hur mätningar kan genomföras av partiklar samt vägdamm vilket följs upp av beskrivningar kring två större modeller kring prediktion av nötningsslitage och prediktion av icke-avgasemissioner. Även hur driftåtgärder inverkar på emissionerna tillsammans med alternativ för att minska emissionerna tas upp. Ett särskilt problem som tas upp i avhandlingen är bristen på helhetssyn beträffande miljöproblem i den urbana miljön med fokus på partikel- och bulleremissioner från vägyta-däckinteraktionen. För närvarande brukar det värsta problemet prioriteras och lösningen till det detta problem kan i sin tur medföra att andra miljöproblem istället förvärras. Denna avhandling visar på att mycket kunskap existerar kring icke-avgasemissioner av PM10 och kring vägdamm, men även att flertalet kunskapsluckor existerar. Flertalet förslag på vidare studier ges tillsammans med en överblick kring det fortsatta arbetet. / <p>QC 20180202</p>

No description available.

This thesis reports on the results of a mobile source emissions inventory for the University of Central Florida (UCF). For a large urban university, the majority of volatile organic compounds (VOC), oxides of nitrogen (NOx), and carbon dioxide (CO2) emissions come from onroad sources: personal vehicles and campus shuttles carrying students, faculty, staff, and administrators to and from the university, as well as university business trips. In addition to emissions from daily commutes, non-road equipment such as lawnmowers, leaf blowers, small maintenance vehicles, and other such equipment utilized on campus contributes to a significant portion to the total emissions from the university. UCF has recently become the second largest university in the nation (with over 56,000 students enrolled in the fall 2010 semester), and contributes significantly to VOC, NOx, and CO2 emissions in Central Florida area. In this project, students, faculty, staff, and administrators were first surveyed to determine their commuting distances and frequencies. Information was also gathered on vehicle type, and age distribution of the personal vehicles of students, faculty, administration, and staff as well as their bus, carpool, and alternate transportation usage. The EPA approved mobile source emissions model, Motor Vehicle Emissions Simulator (MOVES2010a), was used to calculate the emissions from on-road vehicles, and UCF fleet gasoline consumption records were used to calculate the emissions from non-road equipment and on campus UCF fleet vehicles. The results of the UCF mobile source emissions inventory are reported and compared to a recently completed emissions inventory for the entire three-county area in Central Florida.

Air quality assessment plays a crucial role in understanding the impact of air pollution onhuman health and the environment. With the increasing demand for accurate assessment andprediction of air quality, advanced data analytics modelling techniques offer promisingsolutions. This thesis focuses on leveraging advanced data analytics to assess and analyse airpollution concentration levels in Italy over a 4km resolution using the FORAIR_IT datasetsimulated in ENEA on the CRESCO6 infrastructure, aiming to uncover valuable insights andidentifying the most appropriate AI models for predicting air pollution levels. The datacollection, understanding, and pre-processing procedures are discussed, followed by theapplication of big data training and forecasting using Apache Spark MLlib. The research alsoencompasses different phases, including descriptive and inferential analysis to understand theair pollution concentration dataset, hypothesis testing to examine the relationship betweenvarious pollutants, machine learning prediction using several regression models and anensemble machine learning approach and time series analysis on the entire dataset as well asthree major regions in Italy (Northern Italy – Lombardy, Central Italy – Lazio and SouthernItaly – Campania). The computation time for these regression models are also evaluated and acomparative analysis is done on the results obtained. The evaluation process and theexperimental setup involve the usage of the ENEAGRID/CRESCO6 HPC Infrastructure andApache Spark. This research has provided valuable insights into understanding air pollutionpatterns and improving prediction accuracy. The findings of this study have the potential todrive positive change in environmental management and decision-making processes, ultimatelyleading to healthier and more sustainable communities. As we continue to explore the vastpossibilities offered by advanced data analytics, this research serves as a foundation for futureadvancements in air quality assessment in Italy and the models are transferable to other regionsand provinces in Italy, paving the way for a cleaner and greener future.