Results and Discussion • Equipment testing to date has shown high - quality UFP data, ability to capture short - term concentration spikes This work was funded by the US Federal Aviation Administration (FAA) Office of Environment and Energy as a part of ASCENT Project 18 under FAA Award Number 13-C-AJFE-BU. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the FAA or other ASCENT Sponsors. Project 18 Community Measurements of Aviation Emissions Contribution to Ambient Air Quality Lead investigator: J. Levy, Boston University School of Public Health Project manager: J. Upadhyay, FAA April 18-19, 2017 Motivation and Objectives Multiple studies have concluded that aircraft arrival emissions contribute significantly to ultrafine particulate matter (UFP) concentrations over a large geographic area, but it is unclear whether the findings are physically interpretable or robust Longer averaging times Lack of real-time flight activity data No formal statistical techniques for source attribution No connection with aircraft plume dynamics Objective : Conduct ambient monitoring of UFP and other air pollutants at sites at varying proximity to arrival flight paths, to determine the locations and atmospheric/flight activity conditions under which exposures could be elevated Methods and Materials – Site Selection • Focus on arrivals to Boston Logan International Airport on runway 4R • 51,858 arrivals in 2016 (most used runway, increased use in spring/summer) • Flight path largely over populated areas • Sites chosen to be > 200 m from major roadways, at varying distances from airport and from flight path Conclusions and Next Steps • Ongoing field campaign will provide opportunity to robustly evaluate how aircraft arrival activity influences community air pollution exposures • Investment in air pollution monitoring platform provides opportunity for multiple future investigations • Extension of work to additional community settings (near departure runways, other prevailing wind directions) • Comparison of source attribution estimates with dispersion modeling outputs, allowing for validation/ refinement of both approaches • Comparison of spatiotemporal patterns of air pollution and noise, as a precursor to future joint exposure/health analyses Methods and Materials – Equipment • Instrumentation chosen to give high-quality data at 1- second resolution • UFP: TSI Environmental Particle Counters (Model 3783) • BC: AethLabs microaethalometers (Model AE51) • Meteorological data: Davis Vantage Pro2 weather stations • Real-time 3D flight activity data provided by FAA (latitude, longitude, altitude) Methods and Materials – Data Collection and Analysis • Instrumentation obtained in Fall 2016, laboratory and field tested in Winter 2016-2017 • Field deployment in April-September 2017 • Three sites simultaneously for one week at a time, rotating among seven locations • Site selection based in part on projected wind direction and runway usage; may capture some departure impacts under certain wind conditions • Equipment set-up, mid-week check-in and data download, end of week pick-up • Regular evaluation of data fidelity and variability to determine if additional/alternative sites are required • Regression analyses of concentrations vs. flight activity, meteorology, other temporal predictors UFP (#/cm 3 ), Monitor B UFP (#/cm 3 ), Monitor C

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Results and Discussion

• Equipment testing to date has shown high-quality UFP data, ability to capture short-term concentration spikes

This work was funded by the US Federal Aviation Administration (FAA) Office of Environment and Energy as a part of ASCENT Project 18 under FAA Award Number 13-C-AJFE-BU. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the FAA or other ASCENT Sponsors.

Project 18Community Measurements of Aviation Emissions

Contribution to Ambient Air Quality

Lead investigator: J. Levy, Boston University School of Public HealthProject manager: J. Upadhyay, FAA

April 18-19, 2017

Motivation and Objectives

Multiple studies have concluded that aircraft arrival emissions contribute significantly to ultrafine particulate matter (UFP) concentrations over a large geographic area, but it is unclear whether the findings are physically interpretable or robust

Longer averaging times Lack of real-time flight activity data No formal statistical techniques for source attribution No connection with aircraft plume dynamics

Objective: Conduct ambient monitoring of UFP and other air pollutants at sites at varying proximity to arrival flight paths, to determine the locations and atmospheric/flight activity conditions under which exposures could be elevated

Methods and Materials – Site Selection

• Focus on arrivals to Boston Logan International Airport on runway 4R

• 51,858 arrivals in 2016 (most used runway, increased use in spring/summer)

• Flight path largely over populated areas

• Sites chosen to be > 200 m from major roadways, at varying distances from airport and from flight path

Conclusions and Next Steps

• Ongoing field campaign will provide opportunity to robustly evaluate how aircraft arrival activity influences community air pollution exposures

• Investment in air pollution monitoring platform provides opportunity for multiple future investigations

• Extension of work to additional community settings (near departure runways, other prevailing wind directions)

• Comparison of source attribution estimates with dispersion modeling outputs, allowing for validation/ refinement of both approaches

• Comparison of spatiotemporal patterns of air pollution and noise, as a precursor to future joint exposure/health analyses

Methods and Materials – Equipment

• Instrumentation chosen to give high-quality data at 1-second resolution

• UFP: TSI Environmental Particle Counters (Model 3783)• BC: AethLabs microaethalometers (Model AE51)• Meteorological data: Davis Vantage Pro2 weather

stations

• Real-time 3D flight activity data provided by FAA (latitude, longitude, altitude)

Methods and Materials – Data Collection and Analysis

• Instrumentation obtained in Fall 2016, laboratory and field tested in Winter 2016-2017

• Field deployment in April-September 2017• Three sites simultaneously for one week at a time,

rotating among seven locations• Site selection based in part on projected wind

direction and runway usage; may capture some departure impacts under certain wind conditions

• Equipment set-up, mid-week check-in and data download, end of week pick-up

• Regular evaluation of data fidelity and variability to determine if additional/alternative sites are required

• Regression analyses of concentrations vs. flight activity, meteorology, other temporal predictors

UFP (#/cm3), Monitor B

UFP