Rishu Agarwal1,2, Shankar G. Aggarwal This email address is being protected from spambots. You need JavaScript enabled to view it.1,2 

1 Academy of Scientific & Innovative Research (AcSIR), CSIR-National Physical Laboratory Campus, New Delhi, 110012, India
2 Environmental Sciences & Biomedical Metrology Division, CSIR-National Physical Laboratory, New Delhi, 110012, India


Received: October 3, 2020
Revised: November 22, 2020
Accepted: December 5, 2020

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.


Download Citation: ||https://doi.org/10.4209/aaqr.200583  

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Cite this article:

Agarwal, R., Aggarwal, S.G. (2021). Absorption Efficiency Assessment and Uncertainty Measurement of the Sodium Arsenite Method for Ambient NO2 Determination. Aerosol Air Qual. Res. 21, 200583. https://doi.org/10.4209/aaqr.200583


HIGHLIGHTS

  • Absorption efficiency (AE) of sodium arsenite method is studied with gas standards.
  • Measurement uncertainty involved in the method is estimated to be 15%.
  • Lower AE (71%) observed with 1-impinger system than that in standard (82%).
  • Use of 3 impingers instead of 1 to achieve AE factor   ̴1 is suggested.
  • 3-impinger system makes the method independent from use of AE factor.
 

ABSTRACT


The absorption efficiency and uncertainty involved in the sodium arsenite method (modified Jacobs and Hochheiser method) of NO2 measurement were studied using two standard gas concentrations (4.86 ± 0.10 µmol mol1 (ppm) and 1.95 ± 0.10 µmol mol1 (ppm)). An average of 71 ± 3% and 71 ± 6% absorption efficiencies, respectively were observed against reported efficiency of 82% in the published standard (IS 5182 (Part 6): 2006, BIS, 2006a) in 1-impinger system at sampling flow rate of 1 L min1 and absorbing solution temperature of 10–15°C during gas absorption in impinger. The difference is accounted for by the variation in flow rate used in present study (1 L min1) and that in standard method (0.2 L min1). Uncertainty involved in the method was calculated considering a range of factors directly or indirectly affecting the measurement and was found to be 15%. Based on the comparison study performed for NO2 ambient measurements using an equivalent method (chemiluminescence continuous method) and 1-impinger system reference method, the present study highlights the importance of accurate determination of absorption efficiency factor in the NO2 pollutant measurement at laboratory level. Variations observed in the absorption efficiency and the data from inter-comparison study between manual and real-time method warranted this study to be taken up to provide solutions for improvement of the method. The use of at least three absorbers/impingers (connected in series) instead of one to obtain absorption efficiency close to unity is proposed to make the reference method independent from the use of absorption efficiency factor thus ensuring the improved data quality and comparability.


Keywords: Gaseous NO2 pollution, Sodium arsenite method, Absorption efficiency, Measurement uncertainty


1 INTRODUCTION


Nitrogen oxides (NOx = NO + NO2) are important air pollutants that have effect on regional as well global climates as they participate in formation of secondary pollutants and the ozone gas. The uses of fossil fuels such as diesel in automobiles, biomass burnings, high temperature combustion processes in various industries are the major sources of NOx emissions in the atmosphere (Bhanarkar et al., 2005; Degraeuwe et al., 2017). Higher concentrations of NO2 in ambient air can lead to several respiratory disorders in humans. Nitrogen dioxide is included in the National Ambient Air Quality Standards (NAAQS) as one of the regulatory parameters with defined reference and equivalent measurement techniques. The accuracy and precision of measurement techniques/methods and instruments hold great importance in reporting a regulatory pollutant data as per the NAAQS and International Organization for Standardization (ISO) standards. The uncertainty in the measurements should be reported along with the data as an ideal practice to better evaluate the compliance of the measured concentration (Aggarwal et al., 2013). Uncertainty in a measurement depends on several factors, directly and indirectly. Careful investigation of these factors is necessary to obtain reliable results. Since, NO2 plays a vital role in the climatic processes and impacts health on regional and global scale, it is important to know the result with involved uncertainties in the measurement. Such results are vital to better simulate secondary particle concentration especially in urban atmosphere (Lin and Cheng, 2007; Mavroidis and Chaloulakou, 2011; Kuprov et al., 2014).

Ambient NO2 is measured mostly using two techniques, manual and continuous. For manual monitoring, sodium arsenite method (also known as modified Jacobs and Hochheiser method (Merryman et al., 1973)) and for continuous monitoring, chemiluminescence method is widely used. In several countries, both these methods are employed for regulatory monitoring whereas manual method is used as reference method. Besides the automatic continuous method (chemiluminescence based), the manual reference method is still of high relevance in metrological view as it realizes direct measurement of ambient NO2 in SI unit "mole", and is also used for intermediate check in quality assurance purposes. The robustness and simplicity of a reference method is of great significance for easy implementation and reliable results. Additionally, it should perform equally well in the varying ambient field sampling conditions. A continuous research thus is always needed for improvements in measurement method to minimize errors and bias in the data.

The degree of conversion of nitrogen dioxide gas to nitrite during the sampling process of reference method is important to be known to calculate the NO2 concentration levels in ambient air samples (Purdue et al., 1972). An absorption efficiency factor is introduced in calculations to account for the loss of unabsorbed NO2. Therefore, absorption efficiency is one of the important factors that may affect the data quality causing over/under estimation of ambient NO2 concentration levels using the reference method.

The absorption efficiency of the manual Jacobs and Hochheiser method has long been in question (Heuss et al., 1971; Hauser and Shy, 1972; Merryman et al., 1973) since its adoption as the reference method by U.S. EPA (1971) for NO2 monitoring. Subsequent investigations of the method led to improvement in its absorption efficiency by addition of 0.1% sodium arsenite (Christie et al., 1970; Beard and Margeson, 1974; Margeson et al., 1977, 1978). The modified Jacobs and Hochheiser method (also called sodium arsenite method) has been in use since then, however, limited information is available on sensitivity of the method towards the varied sampling conditions such as type of impinger system, sampling duration, sample flow rate, degree of gas solubility, operating temperature, etc. (Goyal and Chavhan, 2015). Filho et al. (2019) in a recent study have been able to develop a new low-cost device involving a micro-impinger bubbler employing similar method with a different reagent (Griess-Saltzman reagent) with a limit of detection of 14 µg m–3.

The current Indian reference standard for measurement of ambient NO2 (IS 5182 (Part 6): 2006) published in 2006 by Bureau of Indian Standards (BIS) is based on the investigations of Christie et al. (1970); Jacobs and Hochheiser (1958) and Margeson et al. (1977) and includes 0.82 as the absorption efficiency factor (at 0.2 L min1 sample flow rate, 10–15°C temperature and 24 hours sampling duration).

Previous studies (Table 3) have shown a wide variation in absorption efficiency of the method due to different sampling conditions. The present study is aimed at finding a solution to reduce this variation where we have measured the absorption efficiency of the manual reference method using two standard gas concentrations (traceable to SI) and have proposed suggestions for its enhancement where the need of the absorption efficiency factor could be eliminated. Another objective of the study is to update the readers about the variation in efficiency if flow rate, temperature and other sampling conditions deviate from the standard method as observed in different studies previously. The uncertainty involved in the method is also calculated considering all the direct and indirect factors contributing to the measurement. The present study provides valuable inputs for improvement of the existing manual method of monitoring of gaseous NO2 pollutant in ambient air.

 
2 METHODOLOGY


 
2.1 Efficiency Estimation

The standard NO2 gas cylinders of two different concentrations (traceable to SI), i.e., 1.95 ± 0.10 µmol mol1 (or ppm) and 4.86 ± 0.10 µmol mol1 were used. The NO2 gas was directly bubbled into a set of 4 impingers (nozzle type) connected in series containing 30 mL absorbing reagent (sodium arsenite) for a duration of 5 min at a flow rate of 1 L min1 (Fig. 1). The temperature of the system was maintained at 10–15°C during the gas absorption in the impingers. Eight such 4-impinger sample sets were collected and analyzed for both the concentrations as per the standard guidelines of the sodium arsenite method (IS 5182 (Part 6): 2006, BIS, 2006a). The analysis includes reacting the NO2 formed during sampling with sulphanilamide, phosphoric acid and N-(1-naphthyl)-ethylenediamine di-hydrochloride (NEDA) dye to form a colored azo-dye compound and measuring the absorbance of this azo-dye at 540 nm using spectrophotometer (Model: MS UV Plus, MOTRAS Scientific). A method calibration was performed as recommended in standard guidelines prior to analysis, wherein calibration standards (sodium nitrite solution prepared in laboratory) in the range of 1–20 µg mL–1 were used followed by the standard analysis procedure as mentioned above. An absorbance versus concentration graph was plotted and the slope was determined using the best fit line in regression analysis. The inverse of this slope is then used as the calibration or graph factor in the Eq. (1) for the calculation of NO2 concentration. The concentration in each impinger of each set was calculated using the Eq. (1) and absorption efficiencies were calculated as given in Eq. (2).

 

where,

C = NO2 concentration (µg m–3).
As = sample absorbance.
Ab = reagent blank absorbance.
CF = calibration factor (inverse of slope of best fit line of calibration graph).
V= volume of sample in the impinger (mL).
Vair = volume of air sampled (m3).
Vt = volume of aliquot taken for analysis (mL).
0.82 = absorption efficiency factor (this factor is taken into consideration when only one impinger is used for sampling).

Fig. 1. Schematic of sampling apparatus for efficiency estimation.
Fig. 1. 
Schematic of sampling apparatus for efficiency estimation.

The absorption efficiency (AE) for impinger system is calculated as:

 

where,

(NO2)i = NOconcentration observed in ith impinger.
(NO2)Total = NO2 concentration introduced in the system.
N = number of impingers used in the system.

 
2.2 Uncertainty Estimation

For uncertainty estimation, the factors considered are flow rate, method calibration, uncertainty in standard gas concentration, from spectrophotometer and that originating from glassware. Flow rate, reproducibility, repeatability, and calibration curve factor were considered as Type A uncertainty, whereas standard gas concentration, photometric repeatability and glassware contribute to Type B uncertainty. The rotameter used for maintaining the flow rate was calibrated using a reference digital flow meter (Model: 4000 series, TSI) with a reported uncertainty of ±0.02 L min1. The uncertainty sources are depicted in the cause-effect diagram (Fig. 2).

Fig. 2. Cause-effect diagram showing uncertainty sources in NO2 concentration determination.Fig. 2. Cause-effect diagram showing uncertainty sources in NO2 concentration determination.

The equation provided in the standard guidelines of the sodium arsenite method is used as model equation for uncertainty estimation.

 
2.3 Ambient Sampling

Ambient samples (n = 18) of NO2 gas were collected on the rooftop of CSIR-National Physical Laboratory using the reference and equivalent method simultaneously during the months of September 2019 to January 2020 (Fig. 3). The manual samples were collected using the 1-impinger system at 1 L min1 flow rate while maintaining the impinger temperature at 10–15°C for a duration of ~18 hours. The manual samples were analyzed according to the standard procedure (IS 5182 (Part 6): 2006, BIS, 2006a) as explained previously. Simultaneously, ambient NO2 data were collected using the chemiluminescence based continuous online analyzer (MEZUS 210, KENTEK Environmental Technology). The analysis was performed according to the published standard IS 5182: Part 6: Sec 2: 2018 (BIS, 2006b). The online method used for continuous measurement in analyzer is based on the chemiluminescent reaction between NO and O3.

Fig. 3. Schematic of apparatus for NO2 ambient sampling.
Fig. 3. Schematic of apparatus for NO2 ambient sampling.

NO + O3 → NO2* + O2

NO2* → NO2 + hν

The excited nitrogen dioxide emits radiation (centered near 1200 nm) which is proportional to the concentration of NO2 present in the air sample. The continuous digital data get stored in the analyzer at an interval of 5 minutes along with pollutant measurement. The two data sets (manual and real-time sampling) were further statistically analyzed and are discussed in the following sections.

 
3 RESULTS AND DISCUSSION


 
3.1 Efficiency Estimation

The absorption efficiency of impinger system is the percentage of the ratio of amount of NO2 gas absorbed in an impinger system to the amount of NO2 introduced in the system. In the present study, 1, 2, 3 and 4-impinger system sets are used for each test to determine the efficiency of the method as well as for the optimization of number of impingers to be used to achieve > 95% absorption efficiency when sampling flow rate is 1 L min1 and the temperature of impingers is maintained at 10–15°C. This different flow rate (1 L min1) from that mentioned in the standard (0.2 L min1) is used keeping in view the ease of controlling the flow with better accuracy and low uncertainty.

An average of 71 ± 3%, 90 ± 3%, 95 ± 3% and 96 ± 4% absorption efficiency (Table 1) was observed in 1, 2, 3 and 4-impinger system, respectively when a standard NO2 gas concentration of 4.86 ± 0.10 µmol mol1 was used. Similarly, when 1.95 ± 0.10 µmol mol1 standard NO2 gas was passed through the system, an average efficiency of 71 ± 6%, 90 ± 5%, 96 ± 5% and 99 ± 6% (Table 2) was calculated in 1, 2, 3 and 4-impinger system, respectively. The observed absorption efficiency in 1-impinger system (71%) is significantly lower than that of reported absorption efficiency of 82% in the standard method (IS 5182 (Part 6): 2006, BIS, 2006). However, it is important to note that in the standard method, the mentioned flow rate is 0.2 L min1, whereas this study is performed at flow rate of 1 L min1. This is because precisely controlling of flow rate of 0.2 L min1 is difficult especially with rotameter and on the field. Further, the average absorption efficiencies of 95 ± 3% and 96 ± 5% observed in 3-impinger systems suggests that the use of at least 3 impingers connected in series at a flow rate of 1 L min1 and 10–15°C sampling temperature can help in obtaining >95% absorption efficiency of gaseous pollutant NO2 during the field studies, thus omitting the need of any efficiency factor to be used in Eq. (1).

Table 1. Observed concentration in individual impingers (connected in series) and efficiency percentage of impinger systems for NO2 standard gas (4.86 ± 0.10 ppm).

Table 2. Observed concentration in individual impingers (connected in series) and efficiency percentage of impinger systems for NO2 standard gas (1.95 ± 0.10 ppm).

Table 3 summarize findings of previous works performed on absorption efficiency of sodium arsenite method. Originally, Jacobs and Hochheiser (1958) reported an absorption efficiency ~91% at a flow rate of 1.3 L min1 (without sodium arsenite in absorbing solution). Shy et al. (1970) calculated an efficiency factor as low as 0.27 at 1 ppm NO2 concentration and a factor of 0.695 at much lower concentration (0.056 ppm) using the same method. Christie et al. (1970) found a high recovery of 94% while using 5.8 ppm of standard NO2 gas at 0.12 L min1 sampling flow rate (with sodium arsenite in absorbing solution). Merryman et al. (1973) reported an average efficiency of 89.7% using 2-impinger system at 0.465 L min1 which was similar to the work reported by Jacobs and Hochheiser but with the use of 0.1% sodium arsenite in absorbing solution. Goyal (2002) reported an efficiency of 33% and 63.5% at a flow rate of 1 L min1 and 0.2 L min1, respectively for a 24-hour sample in single impinger system maintained at 25°C temperature using the standard sodium arsenite method, suggesting a possible effect of varied flow rate on absorption efficiency. These laboratory tests show that the sodium arsenite method performs well on the grounds of efficiency in the higher concentrations of NO2 as well, subject to certain sampling conditions such as sample flow rate, number of impingers used in the impinger system, and temperature of the impinger system.

Table 3. Parameters and findings reported in previous studies performed on sodium arsenite method.

The absorption efficiency factor (0.82) in Eq. (1) depends on several factors as discussed above and thus may enhance uncertainty and ambiguity in the results if absorption efficiency is not close to 0.82 in 1-impinger system as mentioned in the standard. The ambiguity caused in the measurement data obtained using 1-impinger system due to variation in absorption efficiency factor is evident from the ambient sampling data (Fig. 4) wherein the manual method data is calculated for 1-impinger system using three variations of Eq. (1), i.e.(a) with 0.82 efficiency factor (as mentioned in standard); (b) with no efficiency factor; and (c) with 0.71 efficiency factor (from present study). The manual sampling data shows good and similar correlation (r2 = 0.86) with equivalent method (chemiluminescence) data in all three variations of efficiency factors. However, a distinct behavior is observed for each case where, with 0.82 factor (Fig. 4(a)) the data shows good consistency with equivalent method, but with no factor (Fig. 4(b)) in use it underestimates, and with 0.71 factor (Fig. 4(c)) it overestimates the ambient NO2 concentration levels. It is important to note here that at high concentrations, with use of 0.82 and 0.71 efficiency factor the NO2 concentration (91.7 µg m–3 and 105.9 µg m–3, respectively) from manual data crosses the regulatory standard limit (80 µg m–3) whereas with no factor in use (75.2 µg m–3), the NO2 level is well within regulatory standard limit.

Fig. 4. Comparison of NO2 ambient measurement data obtained by equivalent method and reference method calculated using (a) 0.82 efficiency factor, (b) no efficiency factor and (c) 0.71 efficiency factor (sampling time: ~18 hours, sampling flow: 1 L min–1, temperature: 10–15°C)Fig. 4. Comparison of NO2 ambient measurement data obtained by equivalent method and reference method calculated using (a) 0.82 efficiency factor, (b) no efficiency factor and (c) 0.71 efficiency factor (sampling time: ~18 hours, sampling flow: 1 L min1, temperature: 10–15°C)

The results from this inter-comparison study points out the importance of use of accurate absorption efficiency factor while monitoring the ambient NO2 levels, failing which the data may be misleading. These differences can also cause ambiguity in measurement data collected by different monitoring laboratories/institutes if careful investigation of efficiency factor is not performed prior to the ambient sampling. However, such experimental setups (for efficiency determination) may or may not be available with every monitoring laboratory.

Further, if the standard sampling conditions are maintained (especially flow rate and sampling temperature), then the ambient conditions will not make any impact on the absorption efficiency of the sampling method. The use of 3-impinger system is one simple and easy alternative solution to reach an efficiency factor near unity and eliminate the requirement of incorporation of efficiency factor altogether in measurements enhancing the manual method’s robustness, data quality and reliability. Improved data quality will help in providing better suited sustainable pollution control measures and policy formulations.

 
3.2 Uncertainty Estimation

According to the International Organization for Standardization (ISO) Guide to the Expression of Uncertainty in Measurement (GUM), the uncertainty of a measurement is “a parameter associated with the result of a measurement, that characterizes the dispersion of the values that could reasonably be attributed to the measurand”. The standard uncertainty is estimated as the positive square root of the estimated variance. The standard combined uncertainty is derived from combining the standard uncertainties of individual components according to the model equation. In the present study, uncertainty of the sodium arsenite method for determination of ambient NO2 is calculated using factors from both the sampling and the analysis procedures.

The factors or input variables considered for uncertainty analysis based on the model equation used for reporting final NO2 concentration after spectrophotometric analysis are: (i) flow rate during sampling, (ii) absorbance of sample/standard (repeatability, reproducibility and photometric repeatability), (iii) calibration factor (inverse of the slope of best fit line of calibration curve obtained through regression analysis), (iv) absorption efficiency factor, (v) glassware, (vi) uncertainty from standard gas cylinder used.

 
3.3 Flow Rate

The uncertainty in the volume of air passed through the absorbers/impingers arises mainly due to the flow rate maintained during sampling. The flow rate was measured using the rotameter in this study. This rotameter was calibrated using a reference digital flow meter (Model: 4000 series, TSI). The Type A uncertainty was determined by 10 repeated measurements as 0.0098 L min1 and the Type B uncertainty from the tolerance limit provided in the calibration certificate of the reference flow meter is calculated to be 0.0115 L min1 (Table 4). Therefore, the combined and relative standard uncertainty due to flow rate in determining volume of air sampled is 0.0151 L min1 and 0.0135, respectively.

Table 4. Uncertainty budget of standard NO2 gas (1.95 ± 0.10 µmol mol–1) concentration measurement. 


3.4 Spectrophotometric Measurement

The uncertainty in absorbance measurements is determined through reproducibility and repeatability study. Eight sets of repeated samplings were done for both the NO2 standard concentrations. The standard uncertainty of reproducibility was found to be 0.0025 Abs. For determining repeatability uncertainty, 3 replicate analyses were performed of the same set of a sample and it was calculated to be 0.0216 Abs. Also, the reported tolerance level of photometric repeatability (±0.001 Abs) of spectrophotometer in calibration certificate is taken into consideration here as Type B uncertainty and is calculated as 0.0006 Abs leading to a combined standard uncertainty of absorbance measurement to be 0.0218 Abs (Table 4).

 
3.5 Regression Fit

The calibration factor used in the equation for NO2 concentration measurement is determined from the calibration curve as the inverse of the slope of best fit regression curve based on least squares method. The standard uncertainty in this factor is determined from the regression statistics and is reported as 0.0004 Abs mL µg–1.

 
3.6 Standard Gas and Glassware Factor

The reported tolerance levels of glassware and the standard NO2 gas are incorporated as Type B uncertainty. The standard uncertainty of these two components is calculated to be 0.2041 ml and 0.0577 ppm, respectively.

 
3.7 Combined Uncertainty

Based on the factors contributing to uncertainty and their relative standard uncertainties as discussed above and illustrated in Table 4, the combined standard uncertainty in NO2 measurement can be calculated by equation below:

 

where,

u(C) = combined uncertainty.
C = average concentration of NO2 determined experimentaly using 4-impinger system.
As = sample absorbance.
f = flow rate.
cf = calibration factor.
g = glassware.
sg = standard NO2 gas concentration.
g = laboratory glassware factor.

Therefore, using the above equation the combined standard uncertainty of the sodium arsenite method for NO2 measurement is found to be 0.29 ppm (15%) when a standard NO2 gas of 1.95 ppm concentration was used.

Another important point to note here is that in the present study, for uncertainty estimation we have used 4-impinger system to get the total concentration of NO2 absorbed whereas generally only one impinger is used during regular monitoring of ambient levels of NO2. As discussed earlier, Indian standard (IS 5182 (Part 6) :2006, BIS, 2006) reports an efficiency factor as high as 0.82. However, in the present study, an efficiency factor of 0.71 ± 0.03% and 0.71 ± 0.06% at 4.86 ppm and 1.95 ppm concentration, respectively is observed when 1-impinger system is used. The present study results suggest that the use of a single impinger is not enough during field studies as we can improve the absorption efficiency factor of 0.82 mentioned in Indian standard towards ~1 if at least a 3-impinger system is used. Since, currently during the field studies, as per standard procedure this factor needs to be incorporated, the uncertainty of this factor should also be included while reporting combined standard uncertainty of measurement performed using 1-impinger system. Thus, the Eq. (3) will become as following to calculate standard uncertainty of NO2 measurement in 1-impinger system:

 

where,

C = Average concentration of NO2 determined experimentaly using 1-impinger system.
ae = absorption efficiency.

By using this equation and incorporating the absorption efficiency factor observed in this study, the combined standard uncertainty of the sodium arsenite method with 1-impinger system is calculated as 0.21 ppm (15%) when 1.95 ppm of standard NOgas was used. For ambient sampling, the standard gas is not used, hence this factor should not be included in Eq. (4) while reporting the uncertainty of the field sampling data.

 
4 CONCLUSION


A continuous research is always needed to make a reference method more reliable and robust. The absorption efficiency and the measurement uncertainty involved in the reference manual method (modified Jacobs and Hochheiser method) for determination of ambient NO2 levels were studied. The sample flow rate and temperature of absorbing solutions during sampling hold great importance for ambient NO2 gas absorption in the absorbing solution and thus can affect the overall efficiency of the method. The factor of 0.82 provided in the standard using 1-impinger system was found to be varying in different sampling conditions evident from several previous and the present study. A high absorption efficiency factor (close to unity) is required to calculate accurately and precisely the ambient NO2 levels. This study suggests the use of at least 3-impinger system to achieve an efficiency factor of ~1 with 1 L min1 sampling flow rate and 10–15°C temperature. The uncertainty involved in any measurement is equally important to be reported with a particular data set to better analyze and visualize the data in terms of further research and policy formulations. The uncertainty involved in the manual reference method for ambient NO2 determination was observed to be 15% considering the direct and indirect factors involved in the measurement. We further suggest the use of appropriate Certified Reference Materials (CRMs) for calibration purposes instead of fresh laboratory made nitrite standards as different batch of standards may affect the results and involved uncertainty. The use of CRMs will ensure a stable calibration factor during every analysis and improve the data quality.

 
ACKNOWLEDGEMENT


RA acknowledges the University Grants Commission (UGC) for providing JRF fellowship (Ref No. 23196/(NET-DEC. 2015)). Authors are thankful to the Director, CSIR-National Physical Laboratory for providing all support to carry out this work. All staff members and students of Gas Metrology section are also acknowledged for all their help and support. We also thank KENTEK Environmental Technology, Korea for providing instrumental help in this work.


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