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Fine particulate matter (PM2.5) resulting from wildland fire is a significant public health risk in the United States (U.S.). The existing stationary monitoring network and the tools used to alert the public of smoke conditions, such as the Air Quality Index or NowCast, are not o...

Laboratory and field tests examined the potential for unmanned aircraft system (UAS) rotor wash effects on gas and particle measurements from a biomass combustion source. Tests compared simultaneous placement of two sets of CO and CO2 gas sensors and PM2.5 instruments on a UAS bo...

Low-cost sensors (LCS) are increasingly being used to measure fine particulate matter (PM2.5) concentrations in cities around the world. The PurpleAir is one of the most commonly deployed LCS with ~ 15,000 monitors deployed in the United States. PurpleAir measurements are widely ...

It has been challenging to analyze inorganic arsenic (iAs) with anion exchange HPLC-Electrospray Ionization-Mass spectrometry (HPLC-ESI-MS), because arsenite (As(III)) is difficult to retain on column and the salts in mobile phase causes ionization suppression of iAs. T...

Particulate matter (PM) is a major primary pollutant emitted during wildland fires that has the potential to pose significant health risks to individuals/communities who live and work in areas impacted by smoke events. Limiting exposure is the principal measure available to mitig...

Experimental fenceline sensor pods (SPods) fitted with 30 second duration canister grab sampling (CGS) systems were deployed at a site near chemical facilities in Louisville, KY from June 4, 2018, to January 5, 2020. The objective of the study was to better understand lower cost ...

Startling images of smoke-filled skies have filled the news and social media in recent years during major wildfires in the U.S. (Figure 1). In 2020, over 10 million acres burned from nearly 59,000 wildland fires, including wildfires and prescribed fires (National Interagency Coor...

EPA completed laboratory and field evaluations of commercially available sensors (Cairpol; Aeroqual) for O3, CO, CO2, NO2, H2S, NH3, VOC, and THC.  Their performance compared to FRM/FEM research grade reference instruments during chamber studies and wildland fire smoke impac...

PurpleAir sensors, which measure particulate matter (PM), are widely used by individuals, community groups, and other organizations including state and local air monitoring agencies. PurpleAir sensors comprise a massive global network of more than 10,000 sensors. Previous perform...

The convergence of technological innovations in areas such as microelectronics, fabrication, the internet-of-things (IoT), and smartphones, along with their associated “apps”, permeates many aspects of life. To that list we now can add environmental monitoring. Once t...

Understanding the formation, transport, and health impact of wildland fire smoke is a complex task. Emerging methods to characterize air quality - including miniaturized air quality sensors, fusion of multiple data types (e.g., satellite remote sensing data, models), and interact...

The growth of industrial and agricultural activities has created increase in environmental pollution worldwide. Environmental pollutants are damaging to the ecosystem and lead to a variety of health issues affecting humans throughout the world regardless of their age, race, and g...

We derive the properties and demonstrate the desirability of a model-based method for estimating the spatially varying effects of covariates on a quantile function. By modeling the quantile function as a combination of I-spline basis functions and Pareto tail distributions, we al...

Personal exposure to volatile organic compounds (VOCs) from indoor sources including consumer products is an understudied public health concern. To develop and evaluate methods for monitoring personal VOC exposures, we performed a pilot study and examined time-resolved sensor-bas...

Urban trees, either as standalone plantings or as part of a tree pit, are a popular stormwater management tool. Beyond the aesthetic contribution to urban environment, trees are widely accepted as reducing ambient air temperature. There is, however, limited quantitative informati...

Three-dimensional (3D) printing is a method of manufacturing three-dimensional objects by joining materials layer-by-layer under the direction of a computer. With a wide variety of printable materials and manufacturing processes, 3D printing is becoming increasingly useful in env...

The purpose of this paper is to 1) highlight projects collecting large volumes of unique air quality data; 2) explore how the collection of big data fits into the overall picture of air quality management and characterization; 3) provide an update on the E-Enterprise advanced mon...

Over the past decade, a range of sensor technologies became available on the market, enabling a revolutionary shift in air pollution monitoring and assessment. With their cost of up to three orders of magnitude lower than standard/reference instruments, many avenues for applicati...

There currently are a wide variety of approaches emerging to adjust air sensor data, either on the device or more commonly, on a manufacturer's server or cloud. The goal of these adjustments are to correct for measurement artifacts and produce more accurate values. However, most ...

Traditional air monitoring approaches using regulatory monitors have historically been used to assess regional-scale trends in air pollutants across large geographical areas. Recent advances in air pollution sensor technologies could provide additional information about nearby so...

This paper proposes a terminology scheme to describe the progression of data processing that is applied to low cost air quality sensor data. The proposed terminology has a progression of levels that would be used to describe data from effectively native unprocessed output of raw ...

In May 2017, a two-day workshop was held in Los Angeles (California, U.S.A.) to gather practitioners who work with low-cost sensors used to make air quality measurements. The community of practice included individuals from academia, industry, non-profit groups, community-based or...

The data contained in this article are PubMed search strings and search string builders used to curate breath research manuscripts published from 1995–2016 and the respective number of articles found that satisfied the search requirements for selected categories. Breath sampling ...

Low-cost particulate matter (PM) sensors are promising tools for supplementing existing air quality monitoring networks. However, the performance of the new generation of low-cost PM sensors under field conditions is not well understood. In this study, we characterized the perfor...

Until recently, air quality impacts from wildfires were predominantly determined using the Air Quality Index (AQI), calculated from data from permanent stationary regulatory air pollution monitors. However, low-cost particulate matter (PM) sensors are now being widely used by the...