Predicting Influence of Relative Humidity (RH) on Low-Cost Particulate Matter Sensors (LCPMSs) with Empirically Derived Single-Parameter for Hygroscopicity based on K-Kohler Theory
2022-12
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Predicting Influence of Relative Humidity (RH) on Low-Cost Particulate Matter Sensors (LCPMSs) with Empirically Derived Single-Parameter for Hygroscopicity based on K-Kohler Theory
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2022-12
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Abstract
Low-cost particulate matter sensors (LCPMSs) could provide significant insight into air quality data with their ability to be placed virtually anywhere, short sampling time,
and cost to build. However, LCPMSs are also known to significantly overestimate
particle counts when the relative humidity (RH) is above 65%. It is widely considered that
the hygroscopic growth of aerosols is the cause. Hygroscopicity of PM can be described
by a single parameter, symbolized as K, and was used in a previous study (Di Antonio et
al., 2018) to correct LCPMS data with promising results. However, the study assumed
ambient PM to be a pure substance, however, it is often found to be a complex mixture
of organic and inorganic chemical species. This study tested if a statistically derived
empirical value of K, referred to as “ambient K”, could improve representing the RH
influence on LCPMSs. Ambient K is defined as the statistically best-fitting value for
several experimental observations of hygroscopy and makes no assumptions on the
number of species in ambient PM. Ambient K was graphically demonstrated to be more
representative of the experimentally observed RH error compared to assuming K, while
having the same statistical performance as conventionally assuming K. Varying
observations of hygroscopic behavior among multiple sensors provided strong evidence
of multiple chemical species in the observed ambient PM.
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University of Minnesota M.S. thesis. December 2022. Major: Chemical Engineering. Advisor: Steven Sternberg. 1 computer file (PDF); vi, 52 pages.
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Tejada, Rayan. (2022). Predicting Influence of Relative Humidity (RH) on Low-Cost Particulate Matter Sensors (LCPMSs) with Empirically Derived Single-Parameter for Hygroscopicity based on K-Kohler Theory. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/252493.
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