Physical Sciences and Mathematics | Open Access Articles

Deep Air Learning: Interpolation, Prediction, And Feature Analysis Of Fine-Grained Air Quality, Zhongang Qi, Tianchun Wang, Guojie Song, Weisong Hu, Xi Li, Zhongfei Mark Zhang

Research Collection School Of Computing and Information Systems

The interpolation, prediction, and feature analysis of fine-gained air quality are three important topics in the area of urban air computing. The solutions to these topics can provide extremely useful information to support air pollution control, and consequently generate great societal and technical impacts. Most of the existing work solves the three problems separately by different models. In this paper, we propose a general and effective approach to solve the three problems in one model called the Deep Air Learning (DAL). The main idea of DAL lies in embedding feature selection and semi-supervised learning in different layers of the deep …

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Concentrations Of Criteria Pollutants In The Contiguous U.S., 1979 – 2015: Role Of Model Parsimony In Integrated Empirical Geographic Regression, Sun-Young Kim, Matthew Bechle, Steve Hankey, Elizabeth (Lianne) A. Sheppard, Adam A. Szpiro, Julian D. Marshall

UW Biostatistics Working Paper Series

BACKGROUND: National- or regional-scale prediction models that estimate individual-level air pollution concentrations commonly include hundreds of geographic variables. However, these many variables may not be necessary and parsimonious approach including small numbers of variables may achieve sufficient prediction ability. This parsimonious approach can also be applied to most criteria pollutants. This approach will be powerful when generating publicly available datasets of model predictions that support research in environmental health and other fields. OBJECTIVES: We aim to (1) build annual-average integrated empirical geographic (IEG) regression models for the contiguous U.S. for six criteria pollutants, for all years with regulatory monitoring data …

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Alzheimer’S Disease And Alpha-Synuclein Neuropathology In The Olfactory Bulbs Of Children And Young Adults ≤40years Exposed To High Levels Of Fine Particulate Matter Air Pollution In Metropolitan Mexico City: Apoe4 Carriers At Higher Risk Of Suicide Accelerate Their Olfactory Bulb Damage, Partha S. Mukherjee

Mathematics Faculty Publications and Presentations

There is growing evidence that air pollution is a risk factor for a number of neurodegenerative diseases, most notably Alzheimer’s (AD) and Parkinson’s (PD). It is generally assumed that the pathology of these diseases arises only later in life and commonly begins within olfactory eloquent pathways prior to the onset of the classical clinical symptoms. The present study demonstrates that chronic exposure to high levels of air pollution results in AD- and PD-related pathology within the olfactory bulbs of children and relatively young adults ranging in age from 11 months to 40 years. The olfactory bulbs (OBs) of 179 residents …

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Source-Specific Pollution Exposure And Associations With Pulmonary Response In The Atlanta Commuters Exposure Studies, Jenna R. Krall, Chandresh N. Ladva, Armistead G. Russell, Rachel Golan, Xing Peng, Guoliang Shi, Roby Greenwald, Amit U. Raysoni, Lance A. Waller, Jeremy A. Sarnat

School of Earth, Environmental, and Marine Sciences Faculty Publications and Presentations

Concentrations of traffic-related air pollutants are frequently higher within commuting vehicles than in ambient air. Pollutants found within vehicles may include those generated by tailpipe exhaust, brake wear, and road dust sources, as well as pollutants from in-cabin sources. Sourcespecific pollution, compared to total pollution, may represent regulation targets that can better protect human health. We estimated source-specific pollution exposures and corresponding pulmonary response in a panel study of commuters. We used constrained positive matrix factorization to estimate source-specific pollution factors and, subsequently, mixed effects models to estimate associations between source-specific pollution and pulmonary response. We identified four pollution factors …

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Science, Advocacy, Policy, Planning: Tools For Advancing Transportation Equity, Garrett S. Mcallister

Graduate Student Portfolios, Professional Papers, and Capstone Projects

The theme of this portfolio is how different tools and approaches can be used for advancing transportation equity. Broadly defined, transportation equity is about fairness in transportation. There are a number of ways this fairness can be assessed. The most common way to assess transportation equity is by looking at the fairness of outcomes, distributed geographically, socially, or even by mode of transportation. Equity can also be defined by the fairness of processes. The first half of the portfolio illustrates some of the problems with the current transportation system and how it is unhealthy (Piece 1) and unjust (Piece 2). …

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Lava, Ash Flows, Mudslides And Nasty Gases: Good Reasons To Respect Volcanoes, Brittany Brand

Geosciences Faculty Publications and Presentations

Volcanoes are beautiful and awe-inspiring, but the ongoing eruption of Kilauea on Hawaii’s Big Island is showing how dangerous these events can be. So far this event has destroyed dozens of homes and displaced hundreds of people, but no deaths or serious injuries have been reported. Other volcanic eruptions have had deadlier impacts.

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Spatio-Temporal Pattern Estimation Of Pm2.5 In Beijing-Tianjin-Hebei Region Based On Modis Aod And Meteorological Data Using The Back Propagation Neural Network, Xialing Ni, Chunxiang Cao, Yuke Zhou, Xianghui Cui, Ramesh Singh

Mathematics, Physics, and Computer Science Faculty Articles and Research

With the economic growth and increasing urbanization in the last three decades, the air quality over China has continuously degraded, which poses a great threat to human health. The concentration of fine particulate matter (PM2.5) directly affects the mortality of people living in the polluted areas where air quality is poor. The Beijing-Tianjin-Hebei (BTH) region, one of the well organized urban regions in northern China, has suffered with poor air quality and atmospheric pollution due to recent growth of the industrial sector and vehicle emissions. In the present study, we used the back propagation neural network model approach to estimate …

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Phytoforensics: Trees As Bioindicators Of Potential Indoor Exposure Via Vapor Intrusion, Jordan L. Wilson, V. A. Samaranayake, Matt A. Limmer, Joel Gerard Burken

Mathematics and Statistics Faculty Research & Creative Works

Human exposure to volatile organic compounds (VOCs) via vapor intrusion (VI) is an emerging public health concern with notable detrimental impacts on public health. Phytoforensics, plant sampling to semi-quantitatively delineate subsurface contamination, provides a potential non-invasive screening approach to detect VI potential, and plant sampling is effective and also time- and cost-efficient. Existing VI assessment methods are time- and resource-intensive, invasive, and require access into residential and commercial buildings to drill holes through basement slabs to install sampling ports or require substantial equipment to install groundwater or soil vapor sampling outside the home. Tree-core samples collected in 2 days at …

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Outdoor Air Quality, Taylor Curley

Global Issues in Public Health

Outdoor air quality is a significant issue for the entire world. It affects any and all people, but is more of an issue in low-income countries and among people that are more susceptible to respiratory issues such as young children, pregnant women, the elderly, and people who already suffer from respiratory problems like asthma. Poor air quality is caused by the burning of fossil fuels which releases particles and chemicals into the air like carbon dioxide, particulate matter, and nitrogen to name a few. It can cause multiple health issues such as respiratory problems to people who are exposed to …

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Improvement Of Air Pollution Prediction In A Smart City And Its Correlation With Weather Conditions Using Metrological Big Data, Talat Zaree, Ali Reza Honarvar

Turkish Journal of Electrical Engineering and Computer Sciences

Smart cities are an important concept for urban development. This concept addresses many current critical urban problems including traffic and environmental pollution. As utilization of the Internet of things and technology in smart cities increases, large volumes of big data are generated and collected by sensors embedded at different places in the city, which present a real-time display of what is happening throughout the city at all times. Such data should be processed and analyzed as a response to ensure effectiveness and improvement in quality of provided services; correct use and analysis of such data is valuable. Big data mining …

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Carbon-Storing Trees And Particulate Matter Reduction In Los Angeles, California, Tanyi Obenson

Walden Dissertations and Doctoral Studies

Air pollution is a major concern in heavily populated cities such as Los-Angeles, California. Particulate Matter (PM) pollution in Hispanic and Black American neighborhoods in Los Angeles tends to be higher than adjacent non-minority areas. Research has indicated that certain carbon-storing trees can be used to reduce PM pollution. The purpose of this qualitative, interview research project was to determine the feasibility of using carbon-storing trees to reduce PM pollution in Hispanic and Black American neighborhoods in Los Angeles. Using an ecological theoretical framework, 10 subject matter experts were interviewed about their knowledge of carbon-storing properties and the feasibility of …

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A Land Use Regression Model For Explaining Spatial Variation In Air Pollution Levels Using A Wind Sector Based Approach, Owen Naughton, Aoife Donnelly, Paul Nolan, Francesco Pilla, Bruce Misstear, Brian Broderick

Articles

Estimating pollutant concentrations at a local and regional scale is essential for good ambient air quality information in environmental and health policy decision making. Here we present a land use regression (LUR) modelling methodology that exploits the high temporal resolution of fixed-site monitoring (FSM) to produce viable air quality maps. The methodology partitions concentration time series from a national FSM network into wind-dependent sectors or “wedges”. A LUR model is derived using predictor variables calculated within the directional wind sectors, and compared against the long-term average concentrations within each sector. This study demonstrates the value of incorporating the relative position …

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Physical Sciences and Mathematics Commons^™

Full-Text Articles in Physical Sciences and Mathematics

Deep Air Learning: Interpolation, Prediction, And Feature Analysis Of Fine-Grained Air Quality, Zhongang Qi, Tianchun Wang, Guojie Song, Weisong Hu, Xi Li, Zhongfei Mark Zhang

Research Collection School Of Computing and Information Systems

Concentrations Of Criteria Pollutants In The Contiguous U.S., 1979 – 2015: Role Of Model Parsimony In Integrated Empirical Geographic Regression, Sun-Young Kim, Matthew Bechle, Steve Hankey, Elizabeth (Lianne) A. Sheppard, Adam A. Szpiro, Julian D. Marshall

UW Biostatistics Working Paper Series

Mathematics Faculty Publications and Presentations

Source-Specific Pollution Exposure And Associations With Pulmonary Response In The Atlanta Commuters Exposure Studies, Jenna R. Krall, Chandresh N. Ladva, Armistead G. Russell, Rachel Golan, Xing Peng, Guoliang Shi, Roby Greenwald, Amit U. Raysoni, Lance A. Waller, Jeremy A. Sarnat

School of Earth, Environmental, and Marine Sciences Faculty Publications and Presentations

Science, Advocacy, Policy, Planning: Tools For Advancing Transportation Equity, Garrett S. Mcallister

Graduate Student Portfolios, Professional Papers, and Capstone Projects

Lava, Ash Flows, Mudslides And Nasty Gases: Good Reasons To Respect Volcanoes, Brittany Brand

Geosciences Faculty Publications and Presentations

Spatio-Temporal Pattern Estimation Of Pm2.5 In Beijing-Tianjin-Hebei Region Based On Modis Aod And Meteorological Data Using The Back Propagation Neural Network, Xialing Ni, Chunxiang Cao, Yuke Zhou, Xianghui Cui, Ramesh Singh

Mathematics, Physics, and Computer Science Faculty Articles and Research

Phytoforensics: Trees As Bioindicators Of Potential Indoor Exposure Via Vapor Intrusion, Jordan L. Wilson, V. A. Samaranayake, Matt A. Limmer, Joel Gerard Burken

Mathematics and Statistics Faculty Research & Creative Works

Outdoor Air Quality, Taylor Curley

Global Issues in Public Health

Improvement Of Air Pollution Prediction In A Smart City And Its Correlation With Weather Conditions Using Metrological Big Data, Talat Zaree, Ali Reza Honarvar

Turkish Journal of Electrical Engineering and Computer Sciences

Carbon-Storing Trees And Particulate Matter Reduction In Los Angeles, California, Tanyi Obenson

Walden Dissertations and Doctoral Studies

A Land Use Regression Model For Explaining Spatial Variation In Air Pollution Levels Using A Wind Sector Based Approach, Owen Naughton, Aoife Donnelly, Paul Nolan, Francesco Pilla, Bruce Misstear, Brian Broderick

Articles