气候变化领域集成服务门户(CCPortal): Estimating PM2.5 from photographs

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DOI	10.1016/j.aeaoa.2020.100063
	Estimating PM2.5 from photographs
	Pudasaini B.; Kanaparthi M.; Scrimgeour J.; Banerjee N.; Mondal S.; Skufca J.; Dhaniyala S.
发表日期	2020
ISSN	25901621
卷号	5
英文摘要	Accurate determination of the impact of aerosol particles on human health is made challenging by the lack of high-resolution air quality data. Globally, PM2.5 monitoring sites are limited in number, as they require extensive manpower and equipment to operate. Here, we take a physics-based approach to estimate PM2.5 from analysis of photographs at different locations. We develop a governing equation that relates camera signal to the properties of aerosol, the incident light, and the object being imaged. From inversion of this integral equation, we establish an expression for turbidity. Analyzing 3-years of images captured from a camera at a fixed location (downtown Chicago), we calculate turbidity and compare the values against PM2.5 values estimated from nearby EPA monitoring sites. Our calculated photograph-based turbidity values are seen to have a statistically significant positive linear correlation to the estimated PM2.5 values with p-value less than 0.01 and an average binned R2 greater than 0.50. We show that calculation of turbidity is possible from a single photograph, when it contains objects with the same albedo and that are identically illuminated. Our analysis suggests that camera-based PM monitoring could be a relatively low-cost, alternative approach to obtain global air quality data. © 2020 The Authors
学科领域	Aerosols; Air quality; Cameras; Integral equations; Photography; Quality control; Turbidity; Aerosol particles; Air quality data; Governing equations; High resolution; Incident light; Linear correlation; Monitoring sites; Turbidity values; Image analysis; aerosol; air quality; albedo; particulate matter; photography; turbidity; aerosol; air quality; article; calculation; human; Illinois; photography; physics; turbidity; Chicago; Illinois; United States
语种	英语
scopus关键词	Aerosols; Air quality; Cameras; Integral equations; Photography; Quality control; Turbidity; Aerosol particles; Air quality data; Governing equations; High resolution; Incident light; Linear correlation; Monitoring sites; Turbidity values; Image analysis; aerosol; air quality; albedo; particulate matter; photography; turbidity; aerosol; air quality; article; calculation; human; Illinois; photography; physics; turbidity; Chicago; Illinois; United States
来源期刊	Atmospheric Environment: X
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/120898
作者单位	Clarkson University, Potsdam, NY 13699, United States
推荐引用方式 GB/T 7714	Pudasaini B.,Kanaparthi M.,Scrimgeour J.,et al. Estimating PM2.5 from photographs[J],2020,5.
APA	Pudasaini B..,Kanaparthi M..,Scrimgeour J..,Banerjee N..,Mondal S..,...&Dhaniyala S..(2020).Estimating PM2.5 from photographs.Atmospheric Environment: X,5.
MLA	Pudasaini B.,et al."Estimating PM2.5 from photographs".Atmospheric Environment: X 5(2020).