Developing a Low-Cost Passive Method for Long-Term Average Levels of Light-Absorbing Carbon Air Pollution in Polluted Indoor Environments

Clark, Lara P.; Sreekanth, V.; Bekbulat, Bujin; Baum, Michael; Yang, Shu; Baylon, P.; Gould, Timothy; Larson, Timothy V.; Seto, Edmund; Space, Chris D; Marshall, Julian

doi:10.3390/s20123417

Cited by 6 publications

(7 citation statements)

References 48 publications

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“…A study by Butler et al (2016) presented an ammonia monitoring network using Radiello passive samplers to analyze ammonia concentration [28]. In the study conducted by Hayashi et al (2013), passive samplers do not provide real-time analysis of ammonia [29], but are effective for large-scale and long-term data collection [30]. Global satellite monitoring of ammonia is a more efficient method for measuring atmospheric ammonia, and satellite-based measurements of ammonia have been made using a geostationary remote sensing instrument (GCIRI) in geostationary (GEO) and low earth orbits (LEO).…”

Section: Introductionmentioning

confidence: 99%

Seasonal and Spatial Variations of Atmospheric Ammonia in the Urban and Suburban Environments of Seoul, Korea

et al. 2021

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Atmospheric ammonia is a significant pollutant throughout the year, necessitating standardized measurement and identification of emission factors. We performed a quantized evaluation of ammonia concentrations at various locations in and around Seoul, South Korea. The established testing methods of the Radiello Passive Sampler were used for ammonia sampling, and the method was validated using annular denuder sampling. Urban and suburban areas were studied to gain a deeper understanding of the factors responsible for ammonia pollution. This study aimed to establish the fluctuations in concentration over one year, by analyzing the seasonal and regional variation in ammonia concentration. Livestock and agricultural areas recorded the highest concentration of ammonia among all sites, with the highest concentration recorded in autumn. However, at most of the other studied sites, the highest and lowest ammonia concentrations were recorded during summer and winter, respectively. This study attempted to establish a correlation between ammonia concentration and temperature, as well as ammonia concentration and altitude.

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Section: Introductionmentioning

confidence: 99%

Seasonal and Spatial Variations of Atmospheric Ammonia in the Urban and Suburban Environments of Seoul, Korea

et al. 2021

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“…We call for a concerted effort to develop national or regional air quality monitoring systems, across urban and rural contexts, that can provide publicly available and cost-free data in real time. The development of new methods of ambient pollution measurement tailored to low resource settings, such as passive samplers to measure light-absorbing carbon pollutants, are also critical for generation of data on air pollution in SSA [ 79 ]. In addition, the use of novel study designs, such as the assignment of PM2.5 exposure levels using modest sensor networks and structured questionnaires to assess activity levels as was done in Ghana [ 80 ], can be used to develop methodologies tailored to the SSA context.…”

Section: Discussionmentioning

confidence: 99%

Ambient air pollution and non-communicable respiratory illness in sub-Saharan Africa: a systematic review of the literature

et al. 2022

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Introduction Aerosol pollutants are known to raise the risk of development of non-communicable respiratory diseases (NCRDs) such as asthma, chronic bronchitis, chronic obstructive pulmonary disease, and allergic rhinitis. Sub-Saharan Africa’s rapid pace of urbanization, economic expansion, and population growth raise concerns of increasing incidence of NCRDs. This research characterizes the state of research on pollution and NCRDs in the 46 countries of Sub-Saharan Africa (SSA). This research systematically reviewed the literature on studies of asthma; chronic bronchitis; allergic rhinitis; and air pollutants such as particulate matter, ozone, NOx, and sulfuric oxide. Methods We searched three major databases (PubMed, Web of Science, and Scopus) using the key words “asthma”, “chronic bronchitis”, “allergic rhinitis”, and “COPD” with “carbon monoxide (CO)”, “sulfuric oxide (SO)”, “ozone (O3)”, “nitrogen dioxide (NO2)”, and “particulate matter (PM)”, restricting the search to the 46 countries that comprise SSA. Only papers published in scholarly journals with a defined health outcome in individuals and which tested associations with explicitly measured or modelled air exposures were considered for inclusion. All candidate papers were entered into a database for review. Results We found a total of 362 unique research papers in the initial search of the three databases. Among these, 14 met the inclusion criteria. These papers comprised studies from just five countries. Nine papers were from South Africa; two from Malawi; and one each from Ghana, Namibia, and Nigeria. Most studies were cross-sectional. Exposures to ambient air pollutants were measured using spectrometry and chromatography. Some studies created composite measures of air pollution using a range of data layers. NCRD outcomes were measured by self-reported health status and measures of lung function (spirometry). Populations of interest were primarily schoolchildren, though a few studies focused on secondary school students and adults. Conclusions The paucity of research on NCRDs and ambient air pollutant exposures is pronounced within the African continent. While capacity to measure air quality in SSA is high, studies targeting NCRDs should work to draw attention to questions of outdoor air pollution and health. As the climate changes and SSA economies expand and countries urbanize, these questions will become increasingly important.

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“…Vision-based method is becoming popular not only in industry applications [24], [25], but also in the estimation of PM concentration [26]- [28] due to its convenience and low cost. Li et al [14] analyze photos acquired from social media and establish the correlation between visual haze and PM2.5 concentration.…”

Section: Image-based Techniquesmentioning

confidence: 99%

HVAQ: A High-Resolution Vision-Based Air Quality Dataset

Chen,

Zhang,

Chen

et al. 2021

Preprint

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Air pollutants, such as particulate matter, strongly impact human health. Most existing pollution monitoring techniques use stationary sensors, which are typically sparsely deployed. However, real-world pollution distributions vary rapidly in space and the visual effects of air pollutant can be used to estimate concentration, potentially at high spatial resolution. Accurate pollution monitoring requires either densely deployed conventional point sensors, at-a-distance vision-based pollution monitoring, or a combination of both.This paper makes the following contributions: (1) we present a high temporal and spatial resolution air quality dataset consisting of PM2.5, PM10, temperature, and humidity data;(2) we simultaneously take images covering the locations of the particle counters; and (3) we evaluate several vision-based stateof-art PM concentration prediction algorithms on our dataset and demonstrate that prediction accuracy increases with sensor density and image. It is our intent and belief that this dataset can enable advances by other research teams working on air quality estimation.

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Developing a Low-Cost Passive Method for Long-Term Average Levels of Light-Absorbing Carbon Air Pollution in Polluted Indoor Environments

Cited by 6 publications

References 48 publications

Seasonal and Spatial Variations of Atmospheric Ammonia in the Urban and Suburban Environments of Seoul, Korea

Seasonal and Spatial Variations of Atmospheric Ammonia in the Urban and Suburban Environments of Seoul, Korea

Ambient air pollution and non-communicable respiratory illness in sub-Saharan Africa: a systematic review of the literature

HVAQ: A High-Resolution Vision-Based Air Quality Dataset

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