Passive samplers and community science in regional air quality measurement, education and communication

Hauser, Cindy DeForest; Buckley, Alexandra; Porter, Juliana

doi:10.1016/j.envpol.2014.12.028

Cited by 11 publications

(4 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This could be an issue when comparing measurement periods between the two areas. Ogawa samplers used in the study have been used in earlier studies (Gibson et al 2009; Hauser et al 2015; Jerrett et al 2009; Mukerjee et al 2009) and are considered to be a reliable technique to measure ozone and NO x (Bhangar et al 2013; Hagenbjork-Gustafsson et al 2010; Sather et al 2007). …”

Section: Discussionmentioning

confidence: 99%

The spatial variation of O3, NO, NO2 and NO x and the relation between them in two Swedish cities

Hagenbjörk

Malmqvist

Mattisson

et al. 2017

Environ Monit Assess

View full text Add to dashboard Cite

Ozone and nitrogen oxides (NOx) are air pollutants with known associations to adverse health effects on humans. Few studies have simultaneously measured ozone and nitrogen oxides with high spatial resolution. The main aim of this paper was to assess the levels and variation of ground-level ozone, NO2 and NOx in two Swedish cities. An additional aim was to describe the levels of these pollutants within and between three different types of measurement sites (regional background, urban background and traffic sites) and within and between different measurement periods of the year. Three weekly sampling campaigns of NOx and ozone were conducted simultaneously at 20 sites in two Swedish regions using Ogawa badges. Ozone was measured at 20 additional sites in each area. The median ozone concentration for all measurements was statistically significantly higher in Malmö (67 μg/m3) compared to Umeå (56 μg/m3), and in both cities, ozone levels were highest in April. Measurement period was a more important factor for describing the variation in ozone concentrations than the type of measurement site. The levels of NO2 and NOx were statistically significantly higher in the Malmö area (8.1 and 12 μg/m3) compared to the Umeå area (4.5 and 8.9 μg/m3). The levels were generally highest at the sites categorized as traffic, while the variability between different seasons was sparse.Electronic supplementary materialThe online version of this article (doi:10.1007/s10661-017-5872-z) contains supplementary material, which is available to authorized users.

show abstract

Section: Discussionmentioning

confidence: 99%

The spatial variation of O3, NO, NO2 and NO x and the relation between them in two Swedish cities

Hagenbjörk

Malmqvist

Mattisson

et al. 2017

Environ Monit Assess

View full text Add to dashboard Cite

show abstract

“…We used NO x pads (Ogawa & Co., United States) to capture the NO released from the soil incubation. NO x pads have been routinely used to monitor air pollution and recently adopted to measure δ 15 N‐NO x (Dahal & Hastings, 2016; DeForest Hauser et al, 2015; Felix & Elliott, 2014; Homyak et al, 2016). Briefly, NO is captured by NO x pads (PS‐124), which are precoated with PTIO (2‐phenyl‐4,4,5,5‐tetramethylimidazoline‐1‐oxyl‐3‐oxide) and TEA (triethanolamine).…”

Section: Methodsmentioning

confidence: 99%

δ¹⁵N of Nitric Oxide Produced Under Aerobic or Anaerobic Conditions From Seven Soils and Their Associated N Isotope Fractionations

Kang

Zhu

et al. 2020

JGR Biogeosciences

View full text Add to dashboard Cite

Measuring the nitrogen isotope compositions (δ 15 N) of nitric oxide (NO) from different sources helps to quantify the relative contributions of atmospheric NO x. Soil is one of the most important sources of atmospheric NO x , but only limited measurements on the δ 15 N of soil-emitted NO exist, hampering our ability to partition sources to air pollution. Here we conducted soil incubations to measure the δ 15 N-NO under defined aerobic or anaerobic conditions, favoring either nitrification or denitrification. Soils were collected from seven sites spanning three ecosystems in northern China (two agricultural, two forest, and three grassland sites). We found that the δ 15 N-NO and their associated N isotope fractionations were significantly different between anaerobic and aerobic conditions in seven soils. Under aerobic condition, the δ 15 N-NO ranged from −62‰ to −50‰ (averaged −56 ± 4‰), being significantly more negative (by 23‰) than those under anaerobic condition (−45‰ to −23‰, averaged −33 ± 7‰). The apparent N isotope fractionation for NO production under aerobic condition (15 ε aerobic ¼ 61 ± 3‰) was significantly higher (by 26‰) than under anaerobic condition (15 ε anaerobic ¼ 35 ± 6‰), with a small variability among ecosystem types. Our study demonstrates that the δ 15 N-NO from different soils are very different from fuel combustions (mainly from 0‰ to +20‰), supporting that measuring 15 N is a useful tool to partition the contributions of soil NO to atmospheric NO x. Our results also imply δ 15 N-NO produced by nitrification and denitrification distinctly different, as these two processes are dominant processes producing NO under aerobic and anaerobic conditions, respectively. Plain Language Summary Nitric oxide (NO) affects the atmosphere chemistry and NO itself a key component of air pollution and a precursor to other air pollutants like particulate matter and ozone. To reduce the air pollution, it is crucial to identify the atmospheric NO sources. Measuring 15 N natural abundance has been considered as a promising tool to identify different sources, but the measurement on δ 15 N for soil-emitted NO is limited, adding to the large uncertainties on NO partitioning. Here we measured the δ 15 N-NO emitted from three ecosystem types across seven sites (two agriculture, two forest, and three grassland sites) under defined anaerobic or aerobic conditions. We found that soil-emitted NO was 15 N-depleted (−62‰ to −23‰) related to the source from fossil fuel combustion (0-20‰), suggesting that δ 15 N can be used to separate these two sources. We also found that the δ 15 N-NO under aerobic condition (nitrification prevailing, −62‰ to −50‰) was much lower than under anaerobic condition (denitrification prevailing, −45‰ to −23‰), which provide a useful tool to better understand the relative contributions of different sources of NO. In sum, soil-emitted NO has their own different isotope fingerprint, depending on the soil oxygen conditions, and can be used to partition sources.

show abstract

“…In Fortaleza, until December 2018, about 1.1 million vehicles were registered, with more than 50% of this fleet being private cars and more than 13% being diesel vehicles (IBGE, 2019). To evaluate the number of atmospheric pollutants, as well as NO2, several types of sampling were developed that can be classified according to the analysis methodology, among which passive sampling equipment stands out (Harner et al, 2013;Miranda et al, 2017) due to its low cost, easy handling and understanding, without any automatic systems, it does not require electricity, has easy labor logistics and can absorb pollutants of a gaseous nature or polluted vapors from the atmosphere through the process of diffusion and permeation by concentration difference (Cruz and Campos, 2008;Hauser et al, 2015;Lacava et al, 2002;Lisboa and Kawano, 2010;Masey et al, 2017;Piceli and Lisboa, 2018;Souza et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Estimation of nitrogen dioxide levels on streets from Fortaleza Brazil using passive sampling and multivariate analysis

De Sousa,

Maia,

Quintanilha

et al. 2024

Eclet. Quim.

View full text Add to dashboard Cite

The increase in the fleet of motor vehicles circulating in urban centers is one of the main generators of gaseous pollutants harmful to human health and the environment. Pollutants can be economically and effectively monitored through passive sampling. This study aims to estimate NO2 levels on roads of Fortaleza city /CE using the passive sampling method. 12 campaigns covered the rainy (March-June) and the dry (July-November) seasons in 2019. The seasonal averages of NO2 in the rainy season were higher than the dry one, and Almirante Rubim Street showed the greatest difference in the averages: 26.6 µg m-3 in the rainy and 19.3 µg m-3 in the dry season. The principal component analysis applied to the averages of NO2 concentration in the rainy and dry seasons, vehicle traffic and Height of the road/width ratio indicated that components 1, 2 and 3 explain 94.4% of the studied cases. Passive sampling proved to be efficient, contributing to the production of unpublished data about NO2 levels in streets of Fortaleza/Ceará/Brazil from mobile sources.

show abstract

Passive samplers and community science in regional air quality measurement, education and communication

Cited by 11 publications

References 40 publications

The spatial variation of O3, NO, NO2 and NO x and the relation between them in two Swedish cities

The spatial variation of O3, NO, NO2 and NO x and the relation between them in two Swedish cities

δ¹⁵N of Nitric Oxide Produced Under Aerobic or Anaerobic Conditions From Seven Soils and Their Associated N Isotope Fractionations

Estimation of nitrogen dioxide levels on streets from Fortaleza Brazil using passive sampling and multivariate analysis

Contact Info

Product

Resources

About

Passive samplers and community science in regional air quality measurement, education and communication

Cited by 11 publications

References 40 publications

The spatial variation of O3, NO, NO2 and NO x and the relation between them in two Swedish cities

The spatial variation of O3, NO, NO2 and NO x and the relation between them in two Swedish cities

δ15N of Nitric Oxide Produced Under Aerobic or Anaerobic Conditions From Seven Soils and Their Associated N Isotope Fractionations

Estimation of nitrogen dioxide levels on streets from Fortaleza Brazil using passive sampling and multivariate analysis

Contact Info

Product

Resources

About

δ¹⁵N of Nitric Oxide Produced Under Aerobic or Anaerobic Conditions From Seven Soils and Their Associated N Isotope Fractionations