Evaluation of ogawa passive sampling devices as an alternative measurement method for the nitrogen dioxide annual standard in El Paso, Texas

Sather, Mark E.; Slonecker, E. Terrence; Mathew, Johnson; Daughtrey, Hunter; Williams, Dennis D.

doi:10.1007/s10661-006-9219-4

Cited by 31 publications

(25 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The average concentration of NO 2 measured in the first round robin test was not significantly different from that obtained during the second round robin test. These values were relatively higher than those recently measured in El Paso (6-18 ppb), Texas (Sather et al, 2007), Eskişehir of Turkey (11.4 ± 8.6 ppb) (Özden et al, 2008), Mulhouse (11.2 ± 3.2 ppb) of France (de Fouquet et al, 2007) and Az-Zour area (7.89 ppb) of Kuwait (Ramadan, 2010), while they were lower than the occurrence level in Beijing (48.9 ppb) (Meng et al, 2008). NO 2 level in Singapore was very close to the annual mean value (21.4 ppb, converted from 40 µg/m 3 ) of WHO guideline (WHO, 2005).…”

Section: Occurrence Level Of No 2 and Socontrasting

confidence: 76%

“…The average atmospheric concentration can be calculated based on Fick's law of diffusion during the intended sampling period under specific meteorological conditions (Palmes and Lindenboom, 1979). Based on the pioneering work by Palmes and Gunnison (1973) on passive sampling design, several passive samplers have been developed for application under the field conditions (Ayers et al, 1998;De Santis et al, 2002;Sather et al, 2007;Swaans et al, 2007). The low cost of passive samplers in conjunction with their flexibility of deployment in the field makes them attractive for assessing spatial distributions of gases of interest such as NO 2 , SO 2 , O 3 , and NH 3 over large areas, validating atmospheric transport and deposition models, base-line studies and establishing atmospheric monitoring networks, etc.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Comparison of NO2 and SO2 Measurements Using Different Passive Samplers in Tropical Environment

Balasubramanian

et al. 2014

Aerosol Air Qual. Res.

View full text Add to dashboard Cite

This report describes the results of an inter-comparison study conducted for the sampling and analysis of NO 2 and SO 2 by using different type of passive samplers in tropical urban environment. For this purpose, field experiments were proposed to be conducted by two round robin tests from Sept. 2007 to Aug. 2008 in Singapore. A set of different types of passive samplers have been exposed to ambient air at atmospheric research station in National University of Singapore along with suitable active samplers (as reference method) for a sufficient period of time (3-4 weeks). Annular denuder system (ADS) active sampling data showed that NO 2 concentration level (23.8-28.1 ppb) in Singapore was slightly higher than the WHO guideline but SO 2 concentration (12.5-14.9 ppb) was approximately twice the value of WHO guideline. For the two round robin tests, accuracy analysis by using active sampling data as reference demonstrated that grand mean values from passive air sampling (PAS) and active sampler average concentrations, for both NO 2 and SO 2 , are in close agreement with each other. Precision evaluation based on the triplicate samplers co-located at the same sampling siteSingapore showed that most of the passive samplers applied here had repeatability. ANOVA statistical analysis also showed no significant difference between the measurement data obtained by different type of passive samplers for both round robin tests in Singapore.

show abstract

Section: Occurrence Level Of No 2 and Socontrasting

confidence: 76%

Section: Introductionmentioning

confidence: 99%

Comparison of NO2 and SO2 Measurements Using Different Passive Samplers in Tropical Environment

Balasubramanian

et al. 2014

Aerosol Air Qual. Res.

View full text Add to dashboard Cite

show abstract

“…The efficacy of passive samplers in measuring atmospheric ammonia has been shown in previous studies (Sather et al, 2007;Siefert and Scudlark, 2008). Passive samplers were deployed in the nine city sites for three sampling periods (See Fig.…”

Section: Ammonia Gas Sampling and Analysismentioning

confidence: 74%

Urban Atmospheric Ammonia in Santiago City, Chile

Toro

Canales

Flocchini

et al. 2014

Aerosol Air Qual. Res.

View full text Add to dashboard Cite

To improve the current understanding of the ammonia distribution in the major urban area of Chile, measurements of atmospheric NH 3 were collected in Santiago during three sampling periods (25 April to 27 May, 11 to 26 June and 27 June to 31 July 2008). Additionally, air quality and meteorological data as well as NH 4 + , NO 3 -, SO 4 = and Ca +2 concentrations in fine particles were collected during the same period. NH 3 concentrations for the different sites in the three sampling periods varied from 7.7 ± 2.0 µg/m 3 to 19.8 ± 2.1 µg/m 3 . The results of one-way ANOVA and cluster analysis suggest that were no significant differences between the three sampling periods, but significant differences in NH 3 concentrations were detected between the sampling sites. Furthermore, two clusters were found with a pronounced difference between sampling sites located in the eastern part of the city and those located in the western part of the city. The results suggest that the distribution of ammonia in the western part of the city is due to the emissions of ammonia by agricultural areas, wetlands and the large sewage treatment plants, while in the eastern part of the city, ammonia emissions are governed by vehicular emissions. Fine particles (PM 2.5 ) chemical speciation showed NH 4 + /SO 4 = and NO 3 -/SO 4 = molar-equivalents ratios of 5.7 ± 0.3 and 1.8 ± 0.1, respectively. The results show that during the sampling period, complete neutralisation of H 2 SO 4 and HNO 3 occurred in the presence of excess of NH 4 + and NH 3 . Therefore, the atmosphere of Santiago can be considered to be ammonia-rich in the gas phase. Abundant NH 3 was present to neutralise the acid components, such as H 2 SO 4 and HNO 3 , and to form fine particulate ammonium salts, such as (NH 4 ) 2 SO 4 , NH 4 NO 3 and others. Relatively high humidity and low temperatures in the cold season support the formation of particulate ammonium nitrate.

show abstract

“…Ogawa samplers work by trapping the NO 2 on filters coated with thriethanolamine, which are then extracted into water so that the nitrite concentration can be analyzed by ion chromatography. More detailed descriptions of sampler design and performance can be found elsewhere (Yamada et al, 1999;Mukerjee et al, 2004;Sather et al, 2007).…”

Section: Field Monitoringmentioning

confidence: 99%

Intercity transferability of land use regression models for estimating ambient concentrations of nitrogen dioxide

Poplawski

Gould

Setton

et al. 2008

J Expo Sci Environ Epidemiol

View full text Add to dashboard Cite

Land use regression (LUR) is a method for predicting the spatial distribution of traffic-related air pollution. To facilitate risk and exposure assessment, and the design of future monitoring networks and sampling campaigns, we sought to determine the extent to which LUR can be used to predict spatial patterns in air pollution in the absence of dedicated measurements. We evaluate the transferability of one LUR model to two other geographically comparable areas with similar climates and pollution types. The source model, developed in 2003 to estimate ambient nitrogen dioxide (NO 2 ) concentrations in Vancouver (BC, Canada) was applied to Victoria (BC, Canada) and Seattle (WA, USA). Model estimates were compared with measurements made with Ogawa s passive samplers in both cities. As part of this study, 42 locations were sampled in Victoria for a 2-week period in June 2006. Data obtained for Seattle were collected for a different project at 26 locations in March 2005. We used simple linear regression to evaluate the fit of the source model under three scenarios: (1) using the same variables and coefficients as the source model; (2) using the same variables as the source model, but calculating new coefficients for local calibration; and (3) developing site-specific equations with new variables and coefficients. In Scenario 1, we found that the source model had a better fit in Victoria (R 2 ¼ 0.51) than in Seattle (R 2 ¼ 0.33). Scenario 2 produced improved R 2 -values in both cities (Victoria ¼ 0.58, Seattle ¼ 0.65), with further improvement achieved under Scenario 3 (Victoria ¼ 0.61, Seattle ¼ 0.72). Although it is possible to transfer LUR models between geographically similar cities, success may depend on the between-city consistency of the input data. Modest field sampling campaigns for location-specific model calibration can help to produce transfer models that are equally as predictive as their sources.

show abstract

Evaluation of ogawa passive sampling devices as an alternative measurement method for the nitrogen dioxide annual standard in El Paso, Texas

Cited by 31 publications

References 30 publications

Comparison of NO2 and SO2 Measurements Using Different Passive Samplers in Tropical Environment

Comparison of NO2 and SO2 Measurements Using Different Passive Samplers in Tropical Environment

Urban Atmospheric Ammonia in Santiago City, Chile

Intercity transferability of land use regression models for estimating ambient concentrations of nitrogen dioxide

Contact Info

Product

Resources

About