Дисертації з теми "Mobile air pollution monitoring"
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Alvear, Alvear Óscar Patricio. "Mobile Sensing Architecture for Air Pollution Monitoring." Doctoral thesis, Universitat Politècnica de València, 2018. http://hdl.handle.net/10251/107928.
Повний текст джерелаIndustrial growth has brought unforeseen technological advances to our society. Unfortunately, the price to pay for these advances has been an increase of the air pollution levels worldwide, affecting both urban and countryside areas. Typically, air pollution monitoring relies on fixed monitoring stations to carry out the pollution control. However, this method is too expensive, not scalable, and hard to implement in any city. The Mobile Crowdsensing (MCS) approach, a novel paradigm whereby users are in charge of performing monitoring tasks, allows environment monitoring to be made using small sensors embedded in mobile vehicles. The possible scenarios can be divided into two: urban scenarios, where a wide set of vehicles are available, and rural and industrial areas, where vehicular traffic is scarce and limited to the main transportation arteries. Considering these two scenarios, in this thesis we propose an architecture, called EcoSensor, to monitor the air pollution using small sensors installed in vehicles, such as bicycles, private cars, or the public transportation system, applicable to urban scenarios, and the use of an Unmanned Aerial System (UAS) in rural scenarios. Three main components compose our architecture: a low-cost sensor to capture pollution data, a smartphone to preprocess the pollution information and transmit the data towards a central server, and the central server, to store and process pollution information. For urban scenarios, we analyze different alternatives regarding the design of a low-cost sensing unit based on commercial prototyping platforms such as Raspberry Pi or Arduino, and Commercial Off-the-shelf (COTS) air quality sensors. Moreover, we analyze and propose a process to perform pollution monitoring using our architecture. This process encompasses four basic operations: data reading, unit conversion, time variability reduction, and spatial interpolation. For rural scenarios, we propose the use of an Unmanned Aerial Vehicle (UAV) as a mobile sensor. Specifically, we equip the UAV with sensing capabilities through a Raspberry Pi microcomputer and low-cost air quality sensors. Finally, we propose an algorithm, called Pollution-driven UAV Control (PdUC), to control the UAV flight for monitoring tasks by focusing on the most polluted areas, and thereby attempting to improve the overall accuracy while minimizing flight time. We then propose an improvement to this algorithm, called Discretized Pollution-driven UAV Control (PdUC-D), where we discretize the target area by splitting it into small tiles, where each tile is monitored only once, thereby avoiding redundant sampling. Overall, we found that mobile sensing is a good approach for monitoring air pollution in any environment, either by using vehicles or bicycles in urban scenarios, or an UAVs in rural scenarios. We validate our proposal by comparing obtained values by our mobile sensors against typical values reported by monitoring stations at the same time and location, showing that the results are right, matching the expected values with a low error. Moreover, we proved that PdUC-D, our protocol for the autonomous guidance of UAVs performing air monitoring tasks, has better performance than typical mobility models in terms of reducing the prediction errors and reducing the time to cover the whole area.Moreover, we analyze and propose a process to perform pollution monitoring using our architecture. This process encompasses four basic operations: data reading, unit conversion, time variability reduction, and spatial interpolation.
El creixement industrial ha implicat grans avanços tecnològics per a la nostra societat. Lamentablement, el preu que cal pagar per aquests avanços ha sigut un augment significatiu dels nivells de contaminació de l'aire a tot el món, que afecta tant zones urbanes com zones rurals. En general, el monitoratge de la qualitat aire es fa mitjançant estacions de monitoratge fixes. No obstant això, aquest mètode és massa costós, poc escalable i difícil d'implementar a les nostres ciutats, les quals estan cada vegada més poblades. L'ús de Mobile CrowdSensing (MCS), paradigma en el qual el monitoratge el duen a terme els mateixos usuaris, permet realitzar monitorització ambiental tenint sensors mòbils integrats en vehicles. Els possibles escenaris es poden dividir en dos: entorns urbans, on hi ha un ampli conjunt de vehicles disponibles, i entorns rurals o industrials, on el trànsit vehicular és escàs i està limitat a les principals artèries de transport. Tenint en compte aquests dos escenaris, aquesta tesi proposa una arquitectura, anomenada EcoSensor, que permet monitorar la contaminació de l'aire utilitzant petits sensors de baix cost instal·lats en diferents tipus de vehicles, com ara bicicletes, automòbils o autobusos del sistema de transport públic, en el cas d'entorns urbans, i en UAVs (Unmanned Aerial Vehicles) en entorns rurals. L'arquitectura proposada està composta per tres components: un sensor de baix cost per a capturar dades de contaminació, un smartphone per a realitzar un preprocessament de la informació i per a transmetre les dades cap a un servidor central, i el servidor central, encarregat d'emmagatzemar i processar la informació de contaminació ambiental. Per a entorns urbans, analitzem diferents alternatives pel que fa al disseny d'una unitat de monitoratge (sensor mòbil) de baix cost basada en plataformes de prototipatge comercials com Raspberry Pi o Arduino, juntament amb sensors també de preu reduït. En la tesi fem una anàlisi, i proposem un procés, per a dur a terme el monitoratge ambiental utilitzant l'arquitectura proposada. Aquest procés abasta quatre operacions bàsiques: captura de dades, conversió d'unitats, reducció de la variabilitat temporal, i interpolació espacial. Per a entorns rurals, proposem l'ús de drons o Unmanned Aerial Vehicles (UAVs) com a unitats de sensorització mòbils. Específicament, equipem el dron amb capacitats de monitoratge a través d'un microordinador Raspberry Pi i sensors de qualitat de l'aire de baix cost. Finalment, es proposa un algorisme anomenat PdUC (Pollution-driven UAV Control) per a controlar el vol del UAV amb l'objectiu de realitzar monitoratge ambiental, que identifica les àrees més contaminades i que, d'aquesta manera, tracta de millorar la precisió general i la velocitat de monitoratge. A més, proposem una millora a aquest algorisme, denominada PdUC-D, basada en la discretització de l'àrea a monitorar dividint-la en xicotetes àrees (tiles), on cada tile es monitora una sola vegada, fet que evita dur a terme mostrejos redundants. En general, verifiquem que el monitoratge mòbil és una aproximació eficient i fiable per a monitorar la contaminació de l'aire en qualsevol entorn, ja siga usant vehicles o bicicletes en entorns urbans, o UAVs en entorns rurals. Pel que fa al procés de monitoratge ambiental, validem la nostra proposta comparant els valors obtinguts pels nostres sensors mòbils de baix cost pel que fa als valors típics de referència oferits per les estacions de monitoratge fixes per al mateix període i ubicació, i es comprova que els resultats són semblants, i estan d'acord amb el resultat esperat. A més, es demostra que PdUC-D permet guiar autònomament un UAV en tasques de monitoratge de l'aire, oferint un millor rendiment que els models de mobilitat típics, reduint tant els errors de predicció com el temps per a cobrir l'àrea completa, i aconseguint una major precisió dins de les àrees més
Alvear Alvear, ÓP. (2018). Mobile Sensing Architecture for Air Pollution Monitoring [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/107928
TESIS
Meyer, Peter. "Air-pollution monitoring with a mobile CO₂-laser photoacoustic system /." Zürich, 1988. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=8651.
Повний текст джерелаSmith, Jeffrey Paul. "AirSniffer: A Smartphone-Based Sensor Module for Personal Micro-Climate Monitoring." Thesis, University of North Texas, 2016. https://digital.library.unt.edu/ark:/67531/metadc849691/.
Повний текст джерелаZamora, Mero Willian Jesús. "Crowdsensing solutions for urban pollution monitoring using smartphones." Doctoral thesis, Universitat Politècnica de València, 2019. http://hdl.handle.net/10251/115483.
Повний текст джерелаLa contaminació ambiental és un dels principals problemes que afecten el nostre planeta. El creixement industrial i els aglomerats urbans, entre altres, estan contribuint al fet que aquest problema es diversifique i es cronifique. La presència de contaminants ambientals en nivells elevats afecta la salut humana, sent la qualitat de l'aire i els nivells de soroll exemples de factors que poden causar efectes negatius en les persones, tant psicològicament com fisiològicament. No obstant això, la ubiqüitat de les microcomputadores i l'augment dels sensors incorporats als nostres telèfons intel·ligents han fet possible l'aparició de noves estratègies per a mesurar aquesta contaminació. Així, el mobile crowdsensing s'ha convertit en un nou paradigma mitjançant el qual els telèfons intel·ligents emergeixen com a tecnologia habilitadora, i l'adopció generalitzada d'aquest proporciona un enorme potencial per al seu creixement, ja que permet operar a gran escala i amb uns costos assumibles per a la societat. A través del crowdsensing, els telèfons intel·ligents poden convertir-se en unitats de detecció flexibles i multiús que, a través dels sensors integrats en els esmentats dispositius, o combinats amb nous sensors, permeten monitoritzar regions d'interès amb una bona granularitat, tant espacial com temporal. En aquesta tesi ens centrem en el disseny de solucions de crowdsensing usant telèfons intel·ligents, on abordem problemes de contaminació ambiental, específicament del soroll i de la contaminació de l'aire. Amb aquest objectiu, s'estudien, en primer lloc, les propostes de crowdsensing que han sorgit en els últims anys. Els resultats del nostre estudi demostren que encara hi ha molta heterogeneïtat en termes de tecnologies utilitzades i mètodes d'implementació, encara que els dissenys modulars en el client i en el servidor semblen ser dominants. Pel que fa a la contaminació de l'aire, proposem una arquitectura que permeta mesurar la contaminació d'aquest, concretament de l'ozó, dins d'entorns urbans. La nostra proposta utilitza telèfons intel·ligents com a centre de l'arquitectura, sent aquests dispositius els encarregats de llegir les dades d'un sensor mòbil extern, i d'enviar després aquestes dades a un servidor central per al seu processament i tractament. Els resultats obtinguts demostren que l'orientació del sensor i el període de mostratge, dins de certs límits, tenen molt poca influència en les dades capturades. Pel que fa a la contaminació acústica, proposem una arquitectura per a mesurar els nivells de soroll en entorns urbans basada en crowdsensing, i la característica principal de la qual és que no requereix intervenció de la persona usuària. En aquesta tesi detallem aspectes com ara el calibratge dels telèfons intel·ligents, la qualitat de les mesures obtingudes, l'instant de mostratge, el disseny del servidor i la interacció client-servidor. A més, hem validat la nostra solució en escenaris reals per a demostrar el potencial de la solució assolida. Els resultats experimentals mostren que, amb la nostra proposta, és possible mesurar nivells de soroll en diferents zones urbanes o rurals amb un grau de precisió comparable al dels dispositius professionals, tot això sense requerir intervenció de l'usuari o usuària, i amb un consum reduït quant a recursos del sistema. En general, les diferents contribucions d'aquesta tesi doctoral ofereixen un punt de partida per a nous desenvolupaments, i ofereixen estratègies de calibratge i algorismes eficients amb vista a realitzar mesures representatives. A més, un important avantatge de la nostra proposta és que pot ser implementada de forma directa tant en institucions públiques com no governamentals en poc de temps, ja que utilitza tecnologia accessible i solucions basades en el codi obert.
Environmental pollution is one of the main problems that affect our planet. Industrial growth and urban agglomerations, among others, are contributing to the diversification and chronification of this problem. The presence of environmental pollutants at high levels affect human health, with air quality and noise levels being examples of factors that can cause negative effects on people both psychologically and physiologically. Traditionally, environmental pollution is measured through monitoring centers, which are usually fixed and have a high cost. However, the ubiquity of microcomputers and the increase in the number of sensors embedded in our smartphones, have paved the way for the appearance of new strategies to measure such pollution. Thus, Mobile Crowdsensing has become a new paradigm through which smartphones emerge as an enabling technology, and whose widespread adoption provides enormous potential for growth, allowing large-scale operations, and with costs acceptable to our society. Through crowdsensing, smartphones can become flexible and multipurpose detection units that, through the sensors integrated into these devices, or combined with new sensors, allow monitoring regions of interest with good spatial and temporal granularity. In this thesis, we focus on the design of crowdsensing solutions using smartphones. We deal with environmental pollution problems, specifically noise and air pollution. With this objective, the crowdsensing proposals that have emerged in recent years are studied in the first place. The results of our study show that there is still a lot of heterogeneity in terms of technologies used and implementation methods, although modular designs at both client and server seem to be dominant. Concerning air pollution, we propose an architecture that allows measuring air pollution, specifically ozone, in urban environments. Our proposal uses smartphones as the center of the architecture, being these devices responsible for reading the data obtained by an external mobile sensor, and then sending such data to a central server for processing and analysis. In this proposal, several problems have been analyzed with regard to the orientation of the external sensor and the sampling time, and the proposed solution has been validated in real scenarios. The results obtained show that the orientation of the sensor and the sampling period, within certain limits, have very little influence on the captured data. Also, by comparing the heat maps generated by our solution with the data from the existing monitoring stations in the city of Valencia, we demonstrate that our approach is capable of providing greater data granularity. Concerning noise pollution, we propose an architecture to measure noise levels in urban environments based on crowdsensing, and whose main characteristic is that it does not require user intervention. In this thesis, we detail aspects such as the calibration of smartphones, the quality of the measurements obtained, the sampling instant, the server design, and the client-server interaction. Besides, we have validated our solution in real scenarios to demonstrate the potential of the proposed solution. Experimental results show that, with our proposal, it is possible to measure noise levels in different urban or rural areas with a degree of precision comparable to that of professional devices, all without requiring the intervention of the user, and with reduced consumption of system resources. In general, the different contributions of this doctoral thesis provide a starting point for new developments, offering efficient calibration strategies and algorithms to make representative measurements. Besides, a significant advantage of our proposal is that it can be implemented straightforwardly by both public and non-governmental institutions in a short time, as it relies on accessible technology and open source software
Zamora Mero, WJ. (2018). Crowdsensing solutions for urban pollution monitoring using smartphones [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/115483
TESIS
Wright, Monica Elizabeth. "An Investigation of Urban Mobile Source Aerosol Using Optical Properties Measured by CRDT/N: Diesel Particulate Matter and the Impact of Biodiesel." PDXScholar, 2012. https://pdxscholar.library.pdx.edu/open_access_etds/673.
Повний текст джерелаRodriguez, Delphy. "Caractérisation de la pollution urbaine en Île-de-France par une synergie de mesures de surface et de modélisation fine échelle." Electronic Thesis or Diss., Sorbonne université, 2019. http://www.theses.fr/2019SORUS341.
Повний текст джерелаThe harmful effects of air pollution need a high-resolution concentration estimate. Ambient pollutant concentrations are routinely measured by surface monitoring sites of local agencies (AIRPARIF in Paris area, France). Such networks are not dense enough to represent the strong horizontal gradients of pollutant concentrations over urban areas. And, high-resolution models that simulate 3D pollutant concentration fields have a large spatial coverage but suffer from uncertainties. Those both information sources exploited independently are not able to accurately assess an individual’s exposure. We suggest two approaches to solve this problem : (1) direct pollution measurement by using low cost mobile sensors and reference instruments. A high variability across pollution levels is shown between microenvironments and also in the same room. Mobile sensors should be deployed on a large scale due to their technical constraints. Reference instruments are very expensive, cumbersome, and can only be used occasionally. (2) by combining concentration fields of the Parallel Micro-SWIFT-SPRAY (PMSS) model over Paris at a horizontal resolution of 3 meters with AIRPARIF local ground stations measurements. We determined “representativeness areas” - perimeter where concentrations are very close to the one of the station location – only from PMSS simulations. Next, we developed a Bayesian model to extend the stations measurements within these areas
Поленкова, М. В. "Оцінка стану атмосферного повітря чернігівського регіону та заходи щодо його покращення". Thesis, Чернігів, 2020. http://ir.stu.cn.ua/123456789/21055.
Повний текст джерелаОб’єктом дослідження є стан атмосферного повітря Чернігівської області. Предметом дослідження є моніторинг стану атмосферного повітря Чернігівської області. Мета дослідження – комплексна і цілісна оцінка фактичного стану забруднення атмосферного повітря в Чернігівській області. Дослідження спрямоване на обґрунтування практичних рекомендацій щодо обґрунтування механізму проведення моніторингу атмосферного повітря у Чернігівській області. Інформаційною базою дослідження слугували наукові праці вітчизняних та зарубіжних науковців, нормативні та законодавчі акти у сфері охорони та якості атмосферного повітря, Директиви Європейського Союзу, спрямовані на регулювання кількості викидів забруднювальних речовин в атмосферне повітря та його охорону, матеріали науково-практичних конференцій, збірники та видання Державної служби статистики України та Чернігівської області, Департаменту екології та природних ресурсів Чернігівської ОДА, матеріали з інформаційної мережі Internet.
The object of research is the state of the atmospheric air of Chernihiv region. The subject of the study is the monitoring of atmospheric air in the Chernihiv region. The purpose of the study is a comprehensive and holistic assessment of the actual state of air pollution in the Chernihiv region. The study is aimed at substantiating practical recommendations for substantiating the mechanism of air monitoring in Chernihiv region. The information base of the study was the scientific works of domestic and foreign scientists, regulations and legislation in the field of air protection and quality, EU Directives aimed at regulating the amount of pollutant emissions into the air and its protection, materials of scientific conferences, collections and publications State Statistics Service of Ukraine and Chernihiv region, Department of Ecology and Natural Resources of Chernihiv Regional State Administration, materials from the Internet.
Lythe, Matthew Steven. "Spatial aspects of regional air pollution monitoring." Thesis, University of Surrey, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.431117.
Повний текст джерела江顯其 and Hin-kee Kong. "Air pollution impacts as indicated by roadside air quality monitoring stations." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B3125424X.
Повний текст джерелаLelas, Vedran. "Chance constrained models for air pollution monitoring and control /." Digital version accessible at:, 1998. http://wwwlib.umi.com/cr/utexas/main.
Повний текст джерелаTranmer, Nigel R. "Air pollution monitoring and modelling in RTH East Derbyshire." Thesis, Sheffield Hallam University, 1985. http://shura.shu.ac.uk/20451/.
Повний текст джерелаJazavac, Nedim, and Hikmat Tatari. "IoT-based air pollution monitoring system for smart villages." Thesis, Högskolan Kristianstad, Fakulteten för naturvetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-21952.
Повний текст джерелаAleti, Poojitha. "Sustainable Ambient Air Quality Monitoring System." ScholarWorks@UNO, 2016. http://scholarworks.uno.edu/td/2226.
Повний текст джерелаTrail, Marcus. "Atlanta PM₂. ₅, 1999-2008: asaca data trends, quality, and application to ion sensitivity analysis." Thesis, Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/33853.
Повний текст джерелаHargreaves, K. J. "The development and application of diffusion tubes for air pollution monitoring." Thesis, University of Nottingham, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.235733.
Повний текст джерелаAl-Rashidi, Mufreh S. N. "Design of optimal network for air pollution monitoring sites in Kuwait." Thesis, Loughborough University, 2006. https://dspace.lboro.ac.uk/2134/36045.
Повний текст джерелаBoubrima, Ahmed. "Deployment and scheduling of wireless sensor networks for air pollution monitoring." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSEI018.
Повний текст джерелаWireless sensor networks (WSN) are widely used in environmental applications where the aim is to sense a physical phenomenon such as temperature, humidity, air pollution, etc. In this context of application, the use of WSN allows to understand the variations of the phenomenon over the monitoring region and therefore be able to take adequate decisions regarding the impact of the phenomenon. Due to the limitations of its traditional costly monitoring methods in addition to its high spatial and temporal variability, air pollution is considered as one of the main physical phenomena that still need to be studied and characterized. In this thesis, we consider three main applications regarding the use of WSN for air pollution monitoring: 1) the construction of real time air quality maps using sensor measurements; 2) the detection of pollution threshold crossings; and 3) the correction of physical models that simulate the pollution dispersion phenomenon. All these applications need careful deployment and scheduling of sensors in order to get a better knowledge of air pollution while ensuring a minimal deployment cost and a maximal lifetime of the deployed sensor network. Our aim is to tackle the problems of WSN deployment and scheduling while considering the specific characteristics of the air pollution phenomenon. We propose for each application case a new efficient approach for the deployment of sensor and sink nodes. We also propose a WSN scheduling approach that is adapted to the case of physical models’ correction. Our optimization approaches take into account the physical nature of air pollution dispersion and incorporate real data provided by the existing pollution sensing platforms. As part of each approach, we use integer linear programming to derive optimization models that are well adapted to solving small and medium instances. To deal with large instances, we propose heuristic algorithms while using linear relaxation techniques. Besides our theoretical works on air pollution monitoring, we design from scratch and deploy in the Lyon city a cost-effective energy-efficient air pollution sensor network. Based on the characteristics of our monitoring system in addition to real world air pollution datasets, we evaluate the effectiveness of our deployment and scheduling approaches and provide engineering insights for the design of WSN-based air pollution monitoring systems. Among our conclusions, we highlight the fact that the size of the optimal sensor network depends on the degree of the variations of pollution concentrations within the monitoring region
Michaud, Jon-Pierre 1955. "A timed exposure diffusive sampler for air monitoring in epidemiology." Thesis, The University of Arizona, 1989. http://hdl.handle.net/10150/277211.
Повний текст джерелаKong, Hin-kee. "Air pollution impacts as indicated by roadside air quality monitoring stations : y Kong Hin-Kee, Henry." Hong Kong : University of Hong Kong, 1999. http://sunzi.lib.hku.hk/hkuto/record.jsp?B21301840.
Повний текст джерелаNgo, Thanh Binh, Tuan Anh Nguyen, Ngoc Quy Vu, Thi Thu Ha Chu, and Minh Quy Cao. "Management and monitoring of air and water pollution by using GIS technology." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-99424.
Повний текст джерелаNgày nay nhu cầu về một môi trường sống xanh, sạch đang gia tăng, với sự bùng nổ của phát triển kinh tế - xã hội và trình độ dân trí. Tuy nhiên, ô nhiễm môi trường đang trở thành một vấn đề cảnh báo toàn cầu do số lượng lớn các chất thải được xả ra môi trường làm cho nhu cầu này không dễ dàng được đáp ứng tại thời điểm này. Phát thải khí nhà kính chủ yếu là từ sử dụng năng lượng, giao thông vận tải và đất nông nghiệp đang gây ra biến đổi khí hậu vì thời gian tồn tại của cúng dài và giữ nhiệt trong khí quyển. Các ảnh hưởng xấu và thiệt hại gây ra bởi ô nhiễm môi trường và biến đổi khí hậu là không thể đoán trước. Thông tin báo cáo chỉ ra rằng mỗi năm có hàng triệu người chết vì hít các hạt bụi mịn khi tiếp xúc với ô nhiễm không khí; và hàng triệu người khác chết vì bệnh do nước sinh ra. Quản lý và giám sát ô nhiễm không khí và nước bằng cách sử dụng công nghệ GIS là một phương pháp hiệu quả. Các dữ liệu đo có thể được lấy liên tục, nhanh chóng và chính xác tại các trạm ở bất kể khu vực nào, ngay cả nơi có địa hình phức tạp. Điều này giúp làm giảm số lượng lao động cần thiết, quản lý tự động và liên tục một số lượng lớn dữ liệu
Reynolds, Shirley Anne. "Monitoring and prediction of air pollution from traffic in the urban environment." Thesis, University of Nottingham, 1996. http://eprints.nottingham.ac.uk/11740/.
Повний текст джерелаSheppard, Victoria. "The near real time monitoring of NMHCs in tropospheric air." Thesis, University of Bristol, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.299310.
Повний текст джерелаMölder, Mikael. "A Mobile Platform for Measuring Air Pollution in Cities using Gas Sensors." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-232121.
Повний текст джерелаTrots att föroreningar i luften är bland de största hoten mot mänsklig hälsa är den information som finns tillgänglig för allmänheten ofta både gles och inte tillräckligt noggrann eller uppdaterad. Till exempel finns det i hela Storstockholm endast mellan 5–10 luftkvalitetstationer som mäter föroreningar. Detta innebär att den data som finns tillgänglig är bra i närheten av mätutrustningen men kan skilja sig mycket enbart ett par kvarter bort. För att öka mängden information som är tillgänglig till allmänheten räcker inte längre enbart de stationära lösningarna som finns idag för att visa hur de rådande halterna av föroreningar står sig. Andra metoder måste införas, exempelvis genom att nyttja mobila mätningar från en plattform som kan röra sig fritt. GOEASY är ett projekt finansierat av den Europeiska Kommissionen, där Galileo, Europas nya navigationssystem används för att tillåta fler platsbaserade tjänster att äntra marknaden. Som en del av GOEASY projektet ingår evalueringen av potentialen i en applikation där användare samlar in data för att hjälpa individer med andningssvårigheter som astma. Denna avhandling presenterar valen till arkitekturen samt implementationen av en mobil plattform som en del av GOEASY. Lösningen använder sig av mobila luftkvalitetsensorer som kan monteras på en rad olika objekt som samlar data i realtid som görs tillgänglig för allmänheten. Resultatet är en mobil plattform och tillhörande Android applikation som med hjälp av luftkvalitetsensorer rapporterar halten av olika skadliga föroreningar tillsammans med platsinformation till en central server. Tack vare egenskaperna av de underliggande systemen som används, skapas en plattform som är mycket mer precis när det gäller positionering jämfört med liknande system som finns tillgängligt. Det resulterande systemet gör det möjligt för individer med andningssvårigheter att få tillgång till noggrannare samt mer uppdaterad information i större utsträckning än vad som för närvarande är tillgängligt. Systemet fyller även syftet med att demonstrera potentialen i den bakomliggande teknologin som en del av GOEASY.
Acharya, Ramjee. "Three Essays on the Economics of Controlling Mobile-Source Episodic Air Pollution." DigitalCommons@USU, 2018. https://digitalcommons.usu.edu/etd/7260.
Повний текст джерелаWade, Katherine Signs. "A Descriptive Analysis of Temporal Patterns of Air Pollution in Atlanta, GA and an Assessment of Measurement Error in Air Pollution Monitoring Networks in Atlanta, GA." Thesis, Available online, Georgia Institute of Technology, 2005, 2005. http://etd.gatech.edu/theses/available/etd-08252005-141752/.
Повний текст джерелаMulholland, James, Committee Chair ; Russell, Armistead, Committee Member ; Tolbert, Paige, Committee Member.
Tong, Wai-fong, and 唐偉方. "A study of suspended airborne particulates monitoring in Hong Kong." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1997. http://hub.hku.hk/bib/B3125388X.
Повний текст джерелаGladstone, Robert Vernon. "Methods for the monitoring of peroxy radicals and measurement of NOâ†2 photolysis in the atmosphere." Thesis, University of York, 1995. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.261101.
Повний текст джерелаBreiwish, Raíd Ismail. "Road network and vehicle behavior characteristics as they relate to mobile emissions : an investigation of power enrichment." Diss., Georgia Institute of Technology, 1993. http://hdl.handle.net/1853/20757.
Повний текст джерелаDelgado-Rios, Marcos. "Microenvironmental air and soil monitoring of contaminants an evaluation of indoor and outdoor levels in Chihuahua City /." To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2007. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.
Повний текст джерелаLamppu, J. (Jukka). "Scots pine needle longevity and other shoot characteristics along pollution gradients." Doctoral thesis, University of Oulu, 2002. http://urn.fi/urn:isbn:9514268822.
Повний текст джерелаGroves, Michael A. "The use of remotely sensed data for monitoring air pollution related damage to forested areas." Thesis, Aston University, 1989. http://publications.aston.ac.uk/14321/.
Повний текст джерелаMalley, Christopher Stuart. "Assessing atmospheric composition impacts using a chemical climatology framework : case studies at the UK monitoring supersites." Thesis, University of Edinburgh, 2016. http://hdl.handle.net/1842/15941.
Повний текст джерелаMalins, Julian Paul. "The monitoring and control of specialist ceramic kiln atmospheres and emissions." Thesis, Robert Gordon University, 1993. http://hdl.handle.net/10059/616.
Повний текст джерелаO'Brien, Geraldine. "Aspergillus parasiticus and Coriolus versicolor growth studies in the presence of naphthalene and formaldehyde : fungal growth as a source of, and monitoring system for, sick building syndrome." Thesis, Glasgow Caledonian University, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.289509.
Повний текст джерелаChapman, Peter Stuart. "Exposure to street level particulate pollution in urban Hong Kong and the associated health application of trams as a mobile monitor /." Click to view the E-thesis via HKUTO, 2009. http://sunzi.lib.hku.hk/hkuto/record/B42980021.
Повний текст джерелаHazuka, John Anthony 1964. "Evaluation of chemcassette technology for monitoring low-levels of nitrogen-dioxide." Thesis, The University of Arizona, 1988. http://hdl.handle.net/10150/276766.
Повний текст джерелаNergis, Damirag Melodi. "Web Based Cloud Interaction and Visualization of Air Pollution Data." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254401.
Повний текст джерелаEnligt World Health Organization dör 7 miljoner människor varje år på grund av sjukdomar orsakade av luftföroreningar. Med förbättringar inom Internet of Things under senare år, har betydelsen av system för miljösensorer. Genom att använda tekniker som molntjänster, RFID, trådlösa sensornätverk och öppna programmeringsgränssnitt, har det blivit enklare att samla in data för visualisering på olika plattformar. Men insamlad data behöver bli representerad på ett effektivt sätt för bättre förståelse och analys, vilket kräver utformande av verktyg för visualisering av data. Initiativet GreenIoT strävar mot att erbjuda öppen data med sin infrastruktur för hållbar stadsutveckling i Uppsala. I detta arbete presenteras en webb-tillämpning, som visualiserar den insamlade miljödatan för att hjälpa kommunen att implementera nya policies för hållbar stadsutveckling, och stimulera medborgare till att skaffa mer kunskap för att göra miljövänliga val i sin vardag. Tillämpningen har utvecklats med hjälp av 4Dialog API, som tillhandahåller data från lagring i molnet för visualiseringssyfte. Enligt den utvärdering som presenteras i denna rapport konstateras att vidare utveckling behövs för att förbättra dels prestanda för att erbjuda en snabbare och mer tillförlitlig service, och dels åtkomstmöjligheter för att främja öppenhet och social inkludering.
Perugu, Harikishan C. "Integrating Advanced Truck Models into Mobile Source PM2.5 Air Quality Modeling." University of Cincinnati / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1377871388.
Повний текст джерелаWhitrow, Melissa Jayne. "The association between air pollution and lung cancer in the North West of Adelaide: a case control study and air quality monitoring /." Title page, table of contents and abstract only, 2004. http://hdl.handle.net/2440/37750.
Повний текст джерелаThesis (Ph.D.)--Department of Medicine and Department of Public Health, 2004.
Boling, Robyn. "Conceptual Framework for the Development of an Air Quality Monitoring Station in Denton, Texas." Thesis, University of North Texas, 2016. https://digital.library.unt.edu/ark:/67531/metadc862861/.
Повний текст джерелаГладченко, Оксана Робертівна, Оксана Робертовна Гладченко, Oksana Robertivna Hladchenko, Любов Павлівна Ярмак, Любовь Павловна Ярмак, Liubov Pavlivna Yarmak, and J. O. Kaminskaya. "Risk assessment of non-carcinogenic effects of ambient air pollution in Donetsk region." Thesis, Sumy State University, 2014. http://essuir.sumdu.edu.ua/handle/123456789/42705.
Повний текст джерелаJones, Erle Baxter 1953. "Short-term variation during asbestos abatement activities." Thesis, The University of Arizona, 1987. http://hdl.handle.net/10150/276531.
Повний текст джерелаChapman, Peter Stuart. "Exposure to street level particulate pollution in urban Hong Kong and the associated health: application of tramsas a mobile monitor." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B42980021.
Повний текст джерелаLakshminarayanan, Anand. "Analysis of the sensitivity of photochemical airshed modeling to grid size and spatial and temporal distributions aof mobile source emissions." Thesis, Georgia Institute of Technology, 1999. http://hdl.handle.net/1853/20835.
Повний текст джерелаKozawa, Kathleen Hiromi. "Investigation of pollution concentrations and pollution concentration gradients in communities adjacent to the ports of Los Angeles and Long Beach using a mobile monitoring platform." Diss., Restricted to subscribing institutions, 2009. http://proquest.umi.com/pqdweb?did=1723112471&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.
Повний текст джерелаHo, Ching-yee Christina. "The biomonitoring of heavy metal pollution in the wood and leaf chemistry of urban trees in Hong Kong." Hong Kong : University of Hong Kong, 1999. http://sunzi.lib.hku.hk/hkuto/record.jsp?B21089978.
Повний текст джерелаLi, Kaiqi. "Chemical Speciation of PM2.5 in Southwest Ohio." University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1428065849.
Повний текст джерелаOroumiyeh, Farzan. "Temporal Interpolation Modeling of Cincinnati’s Central Air Quality Monitoring Data for Use in Epidemiologic Studies: PM2.5 Source Apportionment using Positive Matrix Factorization (PMF)." University of Cincinnati / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1504800976355814.
Повний текст джерелаSlavica, Malinović Milićević. "Monitoring nejonizujućeg zračenja, zagađujućih materija i toplotnih indeksa u regionu Vojvodine." Phd thesis, Univerzitet u Novom Sadu, Prirodno-matematički fakultet u Novom Sadu, 2012. https://www.cris.uns.ac.rs/record.jsf?recordId=83192&source=NDLTD&language=en.
Повний текст джерелаThis study analyzes UV radiation, heat indexes and air pollution in town in Vojvodina region. Objective of the thesis is to provide scientific facts about environmental quality in Vojvodina, as well as, to generate unique data base for the future research. The relationship between UV-B and global radiation has been studied and correlation equation for estimating UV-B from global radiation has been deduced. Equation was used for UV-B radiation calculation in eight towns in Vojvodina region during the period 1981-2008. This study also analyzes concentrations of five air pollutant in during the period 2001-2008, and heat index during the period 1992-2008. in seven towns in Vojvodina. The results from this study show growth UV-B radiation and heat index in all towns, and denote particulate maters as main air pollutants in Vojvodina towns.
Agnew, Robert J. "Assessment of the variablity of indoor viable airborne mold sampling using the Anderson N-6 single stage impactor." Oklahoma City : [s.n.], 2002. http://library.ouhsc.edu/epub/theses/Agnew-Robert-J.pdf.
Повний текст джерела