Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 35 for “"Air quality monitoring"”.
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LearnAir : toward intelligent, personal air quality monitoring
Air pollution is responsible for :1/8 of deaths around the world. While the importance of air quality has led to a boom in inexpensive air sensors, studies have shown that the status quo of sparse, fixed sensors cannot accurately capture personal exposure levels of nearby populations. Especially in …
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The association between air pollution and lung cancer in the north west of Adelaide: a case control study and air quality monitoring.
… lung cancer in NW Adelaide. Contemporary ambient air monitoring was undertaken as an indicator of future respiratory health risk. 142 lung cancer patients and 415 age, gender matched population controls were interviewed utilising an event history calendar. Lifetime exposure indices were calculated …
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Advancing Indoor Air Pollution Research: A Novel Integration of AI, IoT, and Behavioural Science for Enhanced Indoor Air Quality Monitoring and Behaviour Change
This thesis addresses global concerns over air quality, focusing on Indoor Air Quality (IAQ). It presents an interdisciplinary exploration into the integration of Artificial Intelligence (AI), the Internet of Things (IoT), and Low-Cost Sensors (LCS) for air quality monitoring. The research …
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CHARACTERIZATION OF AIR POLLUTION AND AIR QUALITY USING INNOVATIVE SAMPLING METHODS AND ANALYTICAL TECHNIQUES FOR REGULATED AND NON-REGULATED POLLUTANTS
Air pollution is a critical global health and environmental issue, with major health risks associated with pollutants such as particulate matter (PM), ozone (O3), carbon monoxide (CO), and nitrogen oxides (NOx). Despite advancements in air quality regulations, many pollutants remain unregulated, …
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Integrated data-driven techniques for environmental pollution monitoring
… framework for the classifi_x000C_cation and monitoring of systems with multiple variables. Cluster analysis, sequence analysis and hidden Markov models (HMMs) are statistical methods which have been used in a wide range of studies to model the data structure. In this dissertation, we propose …
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Development and implementation of a microresonator impactor for atmospheric particulate sensing
… sensor nodes as part of ambient or personal air quality monitoring networks. As a result, optical particle counters (OPCs) have risen in popularity given their ability to consistently size and count individual particles. OPCs have limitations, however, in their inability to detect ultrafine …
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Modelagem dos processos físico-químicos e atmosféricos envolvidos na formação de oxidantes fotoquímicos em megacidades: o caso da região metropolitana do Rio de Janeiro
… model, biogenic / anthropogenic emissions and air quality, implemented and adequate in a high performance computational platform, for the understanding of dynamic, thermodynamic and physico-chemical processes that impact on the formation of Photochemical oxidants in RMRJ. For better …
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Concentration profiles and mapping of ambient air quality in the Shenandoah National Park
A graphical system was developed to represent airborne air quality monitoring data. The representations developed included three—dimensional spatial mapping, percentage and frequency distributions, and altitude—based scatter diagrams. Elementary statistical analyses and correlations of the measured …
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Exposure Assessment to Estimate the Population Exposed to Low Air Quality from Wildfires in Metro Vancouver, British Columbia, Canada
… issues and even death. Hourly PM2.5 data from air quality monitoring stations across the Metro Vancouver Regional District (MVRD) between 2014 and 2023 were aggregated to daily values. The weighted average daily PM2.5 concentrations were estimated using the indirect method of Thiessen polygons …
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Remote Sensing of the Lower Atmosphere: From Surface Concentration to Mixing Layer Height
… It addresses an important gap in near surface air quality measurements that is difficult for in-situ, satellite and other remote sensing measurements to address. Different applications of the MAX-DOAS technique have been presented in this study for improving our understanding of tropospheric …
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Autonomous low-cost network of ozone sensors: to study the spatial distribution and exposure in underserved agricultural communities in central California
Ozone (O3), a criteria air pollutant, is often overlooked in rural and remote regions, leaving the spatial distribution and exposure levels poorly understood, particularly in underserved communities. In this study, we developed and deployed a network of 12 autonomous, low-cost, and solar-powered …
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The Effects of Pollution on Travel Mode Choice
For my Masters thesis, I analyze how air pollution affects travel mode decisions in China using a large and detailed hourly household-level data set on hourly household-level travel mode decisions in Beijing; and hourly air pollution, weather, wind speed, and wind direction in and around Beijing. I …
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Real-Time Air quality index application for the City of Cape Town: An event-Driven system with Kafka, CQRS and Clojure
… premature deaths world-wide were due to ambient air pollution in 2012, 88% of which occurred in low to middle income countries such as South Africa. This project focuses on the development of an event-driven real-time air quality index application for the City of Cape Town. Event streams are …
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Design and Development of Distributed Lower Atmospheric Instrumentation Packages
… This thesis presents the development of both airborne and ground based distributed atmospheric instrumentation suites. First, we present a low-cost radiosonde platform capable of simultaneous multipoint launches or high cadence back-to-back continuous launches. This radiosonde platform can do …
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Impacts of outdoor and indoor air pollution on COVID-19 health outcomes and interventions in the Southern African development community region: a scoping review
… living in informal settlements. Research on air pollution's impact on COVID-19 in SADC is limited. This review explored how pollutants like fine particulate matter (PM₂.₅), nitrogen dioxide (NO₂), and household air pollutants (HAP) affect COVID-19 severity. We examined outdoor and indoor …
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Chemical vapor sensing with novel coupled-channel field-effect transistors
… atmosphere every day as part of security and air quality monitoring. However, many of these tests require expensive monitoring equipment. This work explores organic and inorganic oxide semiconductors as room-temperature low-cost chemical vapor sensors. Organic semiconductors have well-known …
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Application framework for wireless sensor networks [thesis]
… a WSN framework which provides assistance with monitoring environmental conditions; we focus on three main applications which include: a. Air-quality monitoring, b. Gas-leak detection, and c. Fire sensing. The framework involves four specifications: 1. Over the air programming (OTAP), 2. Network …
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Innovative Applications of Laser Remote Sensing of Gases, Aerosols and Wind
… of aerosols, which are of great importance for air quality monitoring in urban areas due to the harmful effects of particulate pollution on human health. Lastly, we present the analysis of airborne wind measurements using a micro pulse Doppler lidar and comparison against ground measurements. …
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New insights into understanding urban traffic emissions using novel mobile air quality measurements in the Breathe London pilot study
… reports an investigation into the use of mobile air quality measurements to better understand urban traffic emissions. As part of the Breathe London project, two Google Street View Cars (based at the National Physical Laboratory) were fitted with air quality monitoring instrumentation and were …
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Development and Evaluation of Integrated Sensor System for Observing Particulate Matter Concentration
… by the need for a practical and flexible monitoring platform capable of supporting localized air-quality observation in settings influenced by particulate matter. Conventional regulatory monitoring systems provide high-quality measurements, but they are often limited by cost, …
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