Is this project an undergraduate, graduate, or faculty project?
Undergraduate
group
What campus are you from?
Daytona Beach
Authors' Class Standing
Andres Munevar, Senior Leah G Smith, Sophomore David A Benning, Senior Erik Liebergall, Senior Gabriel M Alkire, Senior
Lead Presenter's Name
Andres Munevar
Faculty Mentor Name
Marwa El-Sayed
Abstract
Atmospheric pollution is responsible for killing more than seven million people around the globe, according to the World Health Organization. Among the pollutants that contribute to air pollution, aerosols, defined as any liquid or solid particulate matter suspended or dispersed in the atmosphere, are a significant contributor to human morbidity and mortality. Current attempts to measure atmospheric PM are not only cumbersome and costly but also lack high spatiotemporal resolution. Recently, low cost sensors have been used to address these economic, practical, and technological shortcomings. This research aims at using LCSs in diverse environments and across different seasons in order to address the existing infrastructure’s spatial and temporal limitations. Commercial Low-cost sensors will be placed in three different operational modes in order to characterize the horizontal and vertical profiles of atmospheric PM. These modes vary in the dimensions that they sample: (1) stationary 1D collocated with a PM monitor based on the federal equivalent method at a suburban site, (2) mobile on a manned vehicle 2D touring the ERAU campus, and (3) mobile on unmanned vehicle 3D flying at urban, suburban, and rural sites. The different commercial LCSs will be used in this effort, relying on light scattering techniques or optical particle counters. Validation will take place by: (1) collocating LCSs with EPA monitoring stations, (2) comparing data to several other PM measurement devices, and (3) mounting a PM measurement device to a tethered balloon.
Did this research project receive funding support from the Office of Undergraduate Research.
Yes, Ignite Grant
The use of Low-Cost Particulate Matter Sensors and Their Future use with Unmanned Aircrafts
Atmospheric pollution is responsible for killing more than seven million people around the globe, according to the World Health Organization. Among the pollutants that contribute to air pollution, aerosols, defined as any liquid or solid particulate matter suspended or dispersed in the atmosphere, are a significant contributor to human morbidity and mortality. Current attempts to measure atmospheric PM are not only cumbersome and costly but also lack high spatiotemporal resolution. Recently, low cost sensors have been used to address these economic, practical, and technological shortcomings. This research aims at using LCSs in diverse environments and across different seasons in order to address the existing infrastructure’s spatial and temporal limitations. Commercial Low-cost sensors will be placed in three different operational modes in order to characterize the horizontal and vertical profiles of atmospheric PM. These modes vary in the dimensions that they sample: (1) stationary 1D collocated with a PM monitor based on the federal equivalent method at a suburban site, (2) mobile on a manned vehicle 2D touring the ERAU campus, and (3) mobile on unmanned vehicle 3D flying at urban, suburban, and rural sites. The different commercial LCSs will be used in this effort, relying on light scattering techniques or optical particle counters. Validation will take place by: (1) collocating LCSs with EPA monitoring stations, (2) comparing data to several other PM measurement devices, and (3) mounting a PM measurement device to a tethered balloon.