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Article

Effects of Water Removal Devices on Ambient Inorganic Air Pollutant Measurements

Department of Civil and Environmental Engineering, Konkuk University, Seoul 05029, Korea
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2019, 16(18), 3446; https://doi.org/10.3390/ijerph16183446
Submission received: 23 August 2019 / Revised: 8 September 2019 / Accepted: 13 September 2019 / Published: 17 September 2019
(This article belongs to the Special Issue Air Quality Monitoring and Assessment)

Abstract

:
Water vapor is a pivotal obstacle when measuring ambient air pollutants. The effects of water vapor removal devices which are called KPASS (Key-compound PASSer) and Cooler. On the measurement of O3, SO2, and CO at ambient levels were investigated. Concentrations of O3, SO2, and CO were 100 ppb, 150 ppb, and 25 ppm, respectively. The amount of water vapor varied at different relative humidity levels of 30%, 50%, and 80% when the temperature was 25 °C and the pressure was 1 atm. Water vapor removal efficiencies and recovery rates of target gases were also determined. The KPASS showed a better performance than the Cooler device, removing 93.6% of water vapor and the Cooler removing 59.2%. In terms of recovery, the KPASS showed a better recovery of target gases than the Cooler. Consequently, it is suggested that the KPASS should be an alternative way to remove water vapor when measuring O3, SO2, and CO.

1. Introduction

As air pollution standards have been strengthened, technologies that measure air pollutants have continued to be developed [1]. However, air pollutants are difficult to measure because they are present in very small quantities (i.e., at levels of ppt to ppm) in the ambient air [2]. The main interference material when measuring ambient air pollutants is water vapor due to its extremely high concentration [3]. Water vapor can affect both negative and positive signals in the measurement of inorganic air pollutants, such as CO2 and NOx, depending on the measurement method [4,5]. In addition, several other problems can occur, such as a change in the retention time or baseline drift when measuring volatile organic compounds (VOCs) [6].
To eliminate these problems, a water removal device (WRD) is recommended [7]. According to standard analytical methods of air pollutants, WRDs should be employed when measuring SO2 and CO in the ambient air. For O3 analysis, the device should be calibrated with respect to the humidity level [8]. However, analyte loss in the water vapor removal process has been reported [3,5,7,9,10,11,12,13,14,15,16,17,18,19]. It was reported that thiols were lost up to 32% after removing humidity in a sample by a Nafion dryer [7]. Palluau et al. reported that ethylene, acetylene, propene, 1-butene, 1,3-butadiene, 1-pentene, 1-hexene, benzene, toluene, ethylbenzene and m/p-xylene were lost from 60 to 70% when a Nafion dryer was applied [6]. Methyl ethyl ketone and methyl isobutyl ketone were found to be lost approximately 13% when a cooler was used to remove water vapor [16]. In the water vapor removal process, a sample gas with high polarity and solubility might react with or be absorbed by the condensed liquid water [12]. In particular, analytes with high solubility and large dipole moments were influenced by water vapor, with the scale of influence depending on the measurement method [4,8,20,21,22,23,24]. Since an exact water removal process has not yet been specified, a clear and specific method is necessary. In addition, many problems with WRDs, such as low water vapor removal and low recovery of measured materials, have been reported [20,25]. Thus, the proper selection of a WRD is a pivotal issue.
In this study, we compared the performance of WRDs and investigated a suitable water removal method for the analysis of O3, SO2, and CO.

2. Materials and Methods

2.1. Experimental Apparatus

An O3 analyzer (ANA 4, Winstech Co., Ltd., Gunpo, Republic of Korea) was used in this study. The measurement method was UV Photometry. The analytical range of the analyzer was 0~500 ppb and the lower detection limit of the analyzer was less than 0.5 ppb. A fluorescence analyzer (43i, Thermo Fisher Scientific INC., Waltham, MA, USA) was used to analyze SO2, which had a lower detection limit of less than 1 ppb (Table 1).
As a reference compound, an experiment measuring CO was conducted. A CO analyzer (Serinus 30, Ecotech Pty Ltd., Melbourne, Australia) was used for the CO analysis. The lower detection limit was 0.05 ppm. Table 1 describes the gas analyzer’s specifications for each target gas.
All analyzers except for ozone were calibrated with standard gases. The ozone analyzer was done with another approved analyzer (Korea Research Institute of Standards and Science, Daejeon, Republic of Korea). Two humidity sensors (Testo-645, Testo Ltd., Lenzkirch, Germany) were applied to measure humidity in this experiment. A KPASS (Key-compound PASSer)(MSD-P100, Nara Controls Inc., Seoul, Republic of Korea), which is an upgraded version of a Desolvator [26], was used as a WRD. The KPASS transformed water vapor into frost using a super-cooling phenomenon. A Cooler (SEC-2001B, Saehan high tech Co., Ltd., Ulsan, Republic of Korea) was also used as WRD to compare the removal of water vapor in the sample gases.

2.2. Materials

Zero air (99.99%, DongA Ltd., Anseong, Republic of Korea) was used to dilute the target gases. The O3 standard was produced by an ozone generator (DA-6200 Ozone generator, DongAn Information Industrial Co., Ltd., Daejeon, Republic of Korea). Both the O3 generator and the O3 analyzer were calibrated with other approved technologies (Korea Research Institute of Standards and Science, Republic of Korea). SO2 (10 ppm, Rigas Co., Ltd., Daejeon, Republic of Korea) and CO (100 ppm, Rigas Co., Ltd., Daejeon, Republic of Korea) were used for calibration and measurement.

2.3. Experimental Procedure

Various concentrations (i.e., relative humidity) of water vapor were introduced into the WRDs to evaluate their performances. Each experiment was repeated three times. First, the experimental system was stabilized for 30 min. Then, the measurement data were collected every 5 min, and the data acquisition time interval was 5 s. The experimental set-up used is presented in Figure 1.
Humidity sensors were placed before and after the WRDs to observe water vapor removal (Figure 1). Control valves were used to change the experimental conditions. As shown in Table 2, the average relative humidity range was 45~68%, however, the maximum average relative humidity level was approximately 80%. We varied humidity as 0, 30, 50 and 80%. Hence, a water vapor generator was used to produce 2 L/min of humid air at 0%, 30%, 50%, and 80% RH. Furthermore, the measurement of ambient air pollutants was usually conducted at the air-conditioned monitoring site. Therefore, the laboratory temperature was maintained at 25 °C ± 1 °C. The sampling flow rate of the analyzer was 1 L/min. Zero air purging was done for 30 min after every experiment to maintain the same experimental conditions.
For recovery of the target gases, the standard gas was mixed with humid air to produce a sample gas with a consistent 1 L/min of flow rate. The target concentrations of O3, SO2, and CO were 100 ppb, 150 ppb, and 25 ppm, respectively. Dry samples, which composed with only zero air and standard gas, were also produced with the same concentrations to investigate the effect of humidity on the analyzers. Then, a paired t-test was conducted to compare concentrations of target gases obtained from their analyzers with respect to dry and humid conditions. Statistical analysis was conducted using Predictive Analytics Software (PASW 18, SPSS Inc, Hong Kong, China). The concentration of sample gases after penetrating WRDs were determined and compared with their initial concentrations. A paired t-test was also implemented for these comparisons.

3. Results

3.1. Humidity Removal

The performances of the KPASS and the Cooler are illustrated in Figure 2. As shown in Figure 2, at 30% RH, the KPASS and the Cooler removed 86.4% and 17.6% of water vapor, respectively. At 50% RH, the KPASS and the Cooler showed 90.8% and 52.7% water vapor removal, respectively. At 80% RH, 93.6% (KPASS) and 59.2% (Cooler) of water vapor removal were observed. The lowest water vapor removal was found in both devices when relative humidity (RH) was 30%. The performances of these devices improved with increasing RH. Since the outlet humidity of both water vapor removal devices was consistent, the lower inlet humidity indicated that less water removal occurred. Moreover, water removal by the Cooler was less than the KPASS at all humidity conditions, particularly under 30% RH where water removal was low. Conversely, both WRDs removed the most water at the high relative humidity condition of 80%.
The surface area of cooling of the KPASS was about 85 cm2, while the surface area of the Cooler was 220 cm2. In spite of that, the KPASS showed a higher water removal efficiency under all tested humidity conditions (Figure 2). Furthermore, the relative standard deviation (RSD) with respect to the removal efficiency of the KPASS was less than 0.7%. This inferred that the performance of the KPASS was consistent. There was a lack of comparison between the KPASS and the Cooler, but the KPASS was reported to have a higher and more stable water removal rate than a Nafion dryer [26]. A study on the water removal method using Nafion reported that recovery of the Nafion membrane to the polar material or the adsorbing material was inferior [28]. With insufficient heating, analytes absorbed and reacted with condensed water in the Nafion membrane [12,13,28]. The Nafion membrane was reported to have the same role as a Cooler due to insufficient heating or incomplete purging [12,29].

3.2. Humidity Impeding O3 Measurement

O3 at 100 ppb was used to investigate the recovery of WRDs. The experimental results are presented in Figure 3.
As shown in Figure 3, O3 concentrations in the humid samples were 98.8 ppb, 96.2 ppb, and 89.7 ppb at RHs of 30%, 50%, and 80%, respectively. It was found that the mean of O3 concentration was statistically significant, different to mean initial O3 concentrations (p-value < 0.05). The decrement of O3 measurements caused by water vapor was also observed in other studies [4,6,9,14,25]. This was caused by uneven UV light through the detection cell and window if humidity existed. In this study, there was a loss of up to 11% of O3 concentrations in Figure 3, as also reported in another study [11].
When the KPASS was applied to remove water vapor in the sample gas, it was found that O3 concentrations were the same as its initial values (p-values > 0.05). This indicated that the KPASS did not affect O3 measurement [23]. In terms of the Cooler, the ozone concentrations were 88.0, 77.5, and 61.1 ppb. There was a statistically significant difference between mean initial O3 concentrations and those after penetrating the Cooler (p-values < 0.05). Hence, O3 was lost in the Cooler. According to Table A1 in Appendix A, O3 has a solubility of 1.885 × 10−6 and a dipole moment of 0.534, which is moderate compared to SO2 and CO. It was presumed that ozone is dissolved by and adhered to the water droplet in the Cooler due to the solubility and polarity of ozone. However, in the case of the KPASS, the influence of solubility and polarity on the O3 removal was negligible compared to those of the Cooler since water vapor was transformed into frost which is not a liquid but solid material. Accordingly, KPASS could remove water vapor in sample flow without any influence on O3.

3.3. SO2 Analysis Hindered by Humidity

The initial concentration of SO2 was 150 ppb. As shown in Figure 4, SO2 concentrations in the humid samples were 147.9 ppb, 144.6 ppb, and 139.8 ppb at 30% RH, 50% RH, and 80% RH, respectively. It was found that the mean of SO2 concentration in the humid sample had a statistically significant difference to mean initial SO2 concentrations (p-value < 0.05). This was attributed to the quenching effect of water vapor during the SO2 measurement [10]. The quenching effect caused by the humidity may have led to underestimation of the SO2 concentration [7].
When the KPASS was employed to remove the water vapor in the samples, SO2 concentrations obtained from the SO2 analyzer were same with its initial concentration (p-values > 0.05), except the case of 50% RH. Although KPASS’s p-value was lower than 0.05 in the case of 50% RH, it showed high recovery (i.e., 98.6%). In terms of the Cooler, SO2 recovery rate declined as humidity increased (p-values < 0.05). At 30% RH, SO2 concentrations of 149 ppb and 121 ppb were observed after passing through the KPASS and the Cooler, respectively. At 50% RH, SO2 concentrations were 148 ppb and 108.6 ppb, respectively. At 80% RH, SO2 concentrations were 145.8 ppb and 57.8 ppb, respectively. On the other hand, RSD results were less than 5% for both the KPASS and the Cooler. At relative humidity of 30% and 80%, the KPASS showed better performance than the Cooler based on t-test results. In case of relative humidity of 50%, SO2 concentration after passing through the KPASS was statistically significantly different from its initial concentration (p-value = 0.038). However, actual SO2 recovery rate for the KPASS was 98.6 %. In contrast, with respect to the Cooler, was relatively low 72.4% at the same condition. Therefore, it might be concluded that KPASS’s performance was better than that of Cooler’s in terms of SO2 measurement.
The SO2 showed a higher level of water solubility and a larger dipole moment than CO and O3 (see Table A1) [30]. Due to its high solubility and large dipole moment, SO2 was considered to be removed because it was dissolved by and adhered to water droplet [12]. The SO2 was significantly influenced by WRDs like Coolers and Nafion dryers [12]. The KPASS showed better recovery rate than that of the Cooler. The different phases of water in the KPASS and the Cooler brought about this recovery pattern. The Cooler removed the water vapor in the form of liquid droplets, thus, SO2 was easily absorbed by the water droplets due to its higher solubility and dipole moment. This phenomenon suggests that Coolers should not be suitable for SO2 measurement.

3.4. CO Measurement with Humidity

CO has the smallest dipole moment and least solubility in water according to Table A1. Therefore, the experiment was conducted by selecting CO as the reference gas [31]. The CO sample gas was generated by mixing CO standard gas with zero air. The CO standard gas concentration was 25 ppm. Without WRD, initial CO concentrations were observed as 25.1 ppm, 24.7 ppm, and 24.8 ppm, respectively, at RH values of 30%, 50%, and 80%. It was found that there was no statistically different among initial CO concentrations (p-values > 0.05) according to the humidity change.
After passing through the WRD, CO concentrations were measured at 24.9 ppm and 23.8 ppm for the KPASS and Cooler devices at 30%RH, respectively. Likewise, they were 24.8 ppm and 24.3 ppm at 50% RH, and 24.5 ppm and 23.4 ppm at 80% RH, respectively. It indicated that all CO concentrations after using WRD were the same as their initial concentrations (p-values > 0.05). As shown in Figure 5, CO concentrations with respect to the Cooler were more unstable than those to the KPASS in all the humidity of concern although statistical analysis showed no significant difference with both WRDs (p-values > 0.05). In the other study, it was reported that CO measurement using a non-dispersive infrared analyzer interfered with water vapor [15]. In short, the influence of water vapor on the CO measurement was negligible compared to those of other compounds (O3, SO2) since its solubility and polarity are lower than others. Accordingly, any type of WRDs can be applied with no influence on the CO measurement.

4. Conclusions

Water removal and the effect of the WRD (i.e., KPASS and Cooler) on the measurement of ozone, sulfur dioxide, and carbon monoxide were evaluated in this study. The removal of water vapor and the recovery rate of target gases were observed. It was found that the water removal of the KPASS was approximately 60% higher than that of the Cooler. In terms of the recovery rate of target analytes, the Cooler showed lower recovery rates than the KPASS in all cases of concern. In case of O3, its recovery rates associated with the KPASS were approximately 35% higher than those with the Cooler. In terms of SO2, the KPASS showed approximately 60% higher recovery rate than the Cooler. Furthermore, high RSD values were observed with respect to the Cooler. This demonstrated that using the KPASS resulted in the consistent measurement for target gases. Moreover, it was found that SO2 and O3, which have large dipole moments and high solubility, were affected by the Cooler more than by the KPASS, whereas it suggested that the KPASS helped to improve the accuracy of measurements.
In general, advantages of the KPASS are higher water removal efficiencies and recovery rates of analytes. However, the initial cost of the KPASS might be higher than that of the Cooler. Therefore, we consider the KPASS to be a suitable WRD with respect to inorganic air pollutant measurements under the condition of this study. If the KPASS is applied for the O3 and SO2 measurement, the accuracy of inventory data could be improved. This might improve O3 assessment and forecasting in the ambient air. That is a significant engineering of the KPASS in the environmental field. There is a need for further studies regarding various WRDs and analytes.

Author Contributions

Conceptualization, D.-J.K. and J.-C.K.; methodology, D.-J.K., J.-Y.L. and J.-C.K.; validation, D.-J.K.; formal analysis, D.-J.K.; investigation, D.-J.K. and J.-Y.L.; resources, D.-J.K. and I.-Y.K.; visualization, D.-J.K. and D.-J.S.; data curation, D.-J.K. and I.-Y.C.; writing—original draft preparation, D.-J.K.; writing—review and editing, T.-V.D., D.-J.S., Y.S., and J.-C.K.; supervision, T.-V.D. and J.-C.K.

Funding

This research was supported by the R&D Center for Green Patrol Technologies through the R&D for Global Top Environmental Technologies (Grant number - 1485016147) funded by Ministry of Environment(MOE), Republic of Korea.

Acknowledgments

This research was supported by the R&D center for Green Patrol Technologies through the R&D for Global Top Environmental Technologies funded by Ministry of Environment (MOE), Republic of Korea.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A

Table A1. The Dipole moment and solubility of molecules in the gas phase.
Table A1. The Dipole moment and solubility of molecules in the gas phase.
MoleculeDipole MomentSolubility (Mole Fraction)
O30.5341.885 × 10−6
SO21.6332.90 × 10−2
CO0.1101.918 × 10−5
H2O1.854-
Note: dipole moment is given in debye unit (D = 3.33564 × 10−30 cm).

References

  1. Zhang, H.; Wang, S.; Hao, J.; Wang, X.; Wang, S.; Chai, F.; Li, M. Air pollution and control action in Beijing. J. Clean. Prod. 2016, 112, 1519–1527. [Google Scholar] [CrossRef]
  2. Maynard, R.; Krzyzanowski, M.; Vilahur, N.; Héroux, M.-E. Evolution of WHO Air Quality Guidelines; WHO Regional Office for Europe: Copenhagen, Denmark, 2017; ISBN 9789289052306. [Google Scholar]
  3. International Organization for Standardization ISO 13964. Air Quality—Determination of Ozone in Ambient Air—Ultraviolet Photometric Method; ISO: Geneva, Switzerland, 1998. [Google Scholar]
  4. Wilson, K.L. Water Vapor Interference in the UV Absorption Measurement of Atmospheric Ozone; University of Colorado: Denver, CO, USA, 2005. [Google Scholar]
  5. Campbell, N.T.; Beres, G.A.; Blasko, T.J.; Groth, R.H. Effect of Water and Carbon Dioxide in Chemiluminescent Measurement of Oxides of Nitrogen. J. Air Pollut. Control Assoc. 1982, 32, 533–535. [Google Scholar] [CrossRef] [Green Version]
  6. Palluau, F.; Mirabel, P.; Millet, M. Influence of relative humidity and ozone on the sampling of volatile organic compounds on carbotrap/carbosieve adsorbents. Environ. Monit. Assess. 2007, 127, 177–187. [Google Scholar] [CrossRef] [PubMed]
  7. Haberhauer-Troyer, C.; Rosenberg, E.; Grasserbauer, M. Investigation of membrane dryers and evaluation of a new ozone scrubbing material for the sampling of organosulphur compounds in air. J. Chromatogr. A 1999, 852, 589–595. [Google Scholar] [CrossRef]
  8. National Institute of Environmental Research of Korea. Method for the Determination of Ozone in Ambient Air—Ultraviolet Photometric Method; National Institute of Environmental Research of Korea: Incheon, Korea, 2017. [Google Scholar]
  9. Kleindienst, T.E.; Hudgens, E.E.; Smith, D.F.; McElroy, F.F.; Bufalini, J.J. Comparison of Chemiluminescence and Ultraviolet Ozone Monitor Responses in the Presence of Humidity and Photochemical Pollutants. Air Waste 1993, 43, 213–222. [Google Scholar] [CrossRef] [PubMed]
  10. Mohn, J.; Emmenegger, L. Determination of Sulphur Dioxide by Pulsed UV-Fluorescence. Environ. Technol. 2014, 76, 1–11. [Google Scholar]
  11. Williams, E.J.; Fehsenfeld, F.C.; Jobson, B.T.; Kuster, W.C.; Goldan, P.D.; Stutz, J.; McClenny, W.A. Comparison of Ultraviolet and DOAS Instruments for Ambient Ozone Monitoring. Environ. Sci. Technol. 2006, 40, 5755–5762. [Google Scholar] [CrossRef] [PubMed]
  12. EPA Technical Assistance Document for sampling and analysis of ozone precursors; Environmental Protection Agency: Washington, DC, USA, 1998.
  13. Lee, J. The Effect of Different Water Pretreatment Systems on the Analysis of Odorous Compounds in Ambient Air; Konkuk University: Seoul, Korea, 2018. [Google Scholar]
  14. Wilson, K.L.; Birks, J.W. Mechanism and elimination of a water vapor interference in the measurement of ozone by UV absorbance. Environ. Sci. Technol. 2006, 40, 6361–6367. [Google Scholar] [CrossRef] [PubMed]
  15. Zellweger, C.; Steinbacher, M.; Buchmann, B. Evaluation of new laser spectrometer techniques for in-situ carbon monoxide measurements. Atmos. Meas. Tech. 2012, 5, 2555–2567. [Google Scholar] [CrossRef] [Green Version]
  16. International Organization for Standardization. ISO 4224: Ambient Air—Determination of Carbon Monoxide—Non-Dispersive Infrared Spectrometric Method; ISO: Geneva, Switzerland, 2000. [Google Scholar]
  17. International Organization for Standardization. ISO 10498: Ambient Air—Determination of Sulfur Dioxide—Ultraviolet Fluorescence Method; ISO: Geneva, Switzerland, 2004. [Google Scholar]
  18. International Organization for Standardization. ISO 4219: Air Quality—Determination of Gaseous Sulphur Compounds in Ambient air—Sampling Equipment; ISO: Geneva, Switzerland, 2012. [Google Scholar]
  19. International Organization for Standardization. ISO 10313: Ambient Air—Determination of the Mass Concentration of Ozone—Chemiluminescence Method; ISO: Geneva, Switzerland, 1993. [Google Scholar]
  20. Dunder, T.; Leighty, D.A. Comparison of Thermoelectric and Permeation Dryers for Sulfur Dioxide Removal during Sample Conditioning of Wet Gas Streams; Air and Waste Management Association: Pittsburgh, PA, USA, 1997. [Google Scholar]
  21. 40 CFR Part 50—National Primary and Secondary Ambient Air Quality Standards; Environmental Protection Agency: Washington, DC, USA, 2013.
  22. Egorova, G.V.; Voblikova, V.A.; Sabitova, L.V.; Tkachenko, I.S.; Tkachenko, S.N.; Lunin, V.V. Ozone Solubility in Water. Moscow Univ. Chem. Bull. 2015, 70, 207–210. [Google Scholar] [CrossRef]
  23. Lide, D.R. Handbook of Chemistry and Physics, 95th ed.; Frederikse, H.P.R., Ed.; CRC Press: Boca Raton, FL, USA, 2011. [Google Scholar]
  24. Rodríguez, A.; Rosal, R.; Perdigón-Melón, J.A.; Mezcua, M.; Agüera, A.; Hernando, M.D.; Letón, P.; Fernández-Alba, A.R.; García-Calvo, E. Ozone-based technologies in water and wastewater treatment. In Emerging Contaminants from Industrial and Municipal Waste; Springer: Berlin/Heidelberg, Germany, 2008; pp. 127–175. [Google Scholar]
  25. Boylan, P.; Helmig, D.; Park, J.-H. Characterization and mitigation of water vapor effects in the measurement of ozone by chemiluminescence with nitric oxide. Atmos. Meas. Tech. 2014, 7, 1231–1244. [Google Scholar] [CrossRef] [Green Version]
  26. Son, Y.-S.; Lee, G.; Kim, J.-C.; Han, J.-S. Development of a pretreatment system for the analysis of atmospheric reduced sulfur compounds. Anal. Chem. 2013, 85, 10134–10141. [Google Scholar] [CrossRef] [PubMed]
  27. Korea Meteorological Administration. Climate Monthly Data of Seoul, Republic of Korea; Korea Meteorological Administration: Seoul, Korea, 2018. [Google Scholar]
  28. Burns, W.F.; Tingey, D.T.; Evans, R.C.; Bates, E.H. Problems with a Nafion® membrane dryer for drying chromatographic samples. J. Chromatogr. A 1983, 269, 1–9. [Google Scholar] [CrossRef]
  29. Ye, X.; LeVan, M.D. Water transport properties of Nafion membranes: Part I. Single-tube membrane module for air drying. J. Memb. Sci. 2003, 221, 147–161. [Google Scholar] [CrossRef]
  30. Anderson, J.L.; Dixon, J.N.K.; Maginn, E.J.; Brennecke, J.F. Measurement of SO2 solubility in ionic liquids. J. Phys. Chem. B 2006, 110, 15059–15062. [Google Scholar] [CrossRef] [PubMed]
  31. Gerbig, C.; Schmitgen, S.; Kley, D.; Volz-thomas, A.; Dewey, K. An improved fast-response vacuum-UV resonance fluorescence CO instrument. J. Geophys. Res. 1999, 104, 1699–1704. [Google Scholar] [CrossRef] [Green Version]
Figure 1. Experimental set-up for water vapor removal and target gas recovery.
Figure 1. Experimental set-up for water vapor removal and target gas recovery.
Ijerph 16 03446 g001
Figure 2. Water vapor removal using a KPASS (Key-compound PASSer) and a Cooler.
Figure 2. Water vapor removal using a KPASS (Key-compound PASSer) and a Cooler.
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Figure 3. Box plot of O3 concentration with respect to water removal devices (WRDs) and RH conditions.
Figure 3. Box plot of O3 concentration with respect to water removal devices (WRDs) and RH conditions.
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Figure 4. Box plot of SO2 concentration with respect to WRDs and RH conditions.
Figure 4. Box plot of SO2 concentration with respect to WRDs and RH conditions.
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Figure 5. Box plot of CO concentration with respect to WRDs and RH conditions.
Figure 5. Box plot of CO concentration with respect to WRDs and RH conditions.
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Table 1. Specifications of target gas analyzer.
Table 1. Specifications of target gas analyzer.
Model NameANA 4 O3 Analyzer43i SO2 AnalyzerSerinus 30 CO Analyzer
Target gasOzoneSulfur dioxideCarbon monoxide
Range0–500 ppb−10,000 ppb0–200 ppm
Lower detection limit0.5 ppb1 ppb0.05 ppm
Linearity± 1% of span gas concentration ±   1% of full scale ±   1% of full scale
Zero drift< 1 ppb< 1 ppb< 0.1 ppm
Span drift ±   1 % of full scale per day ±   1% of full scale per week0.5% of reading per day
Table 2. Climate data from Seoul in 2018.
Table 2. Climate data from Seoul in 2018.
MonthAverage Temperature (°C)Average Water Vapor Pressure (hPa)Average Relative Humidity (%)Ref.
Jan-18−42.548[27]
Feb-18−1.62.645[27]
Mar-188.16.659[27]
Apr-1813855[27]
May-1818.213.163[27]
Jun-1823.117.363[27]
Jul-1827.824.668[27]
Aug-1828.824.965[27]
Sep-1821.515.461[27]
Oct-1813.18.959[27]
Nov-187.86.358[27]
Dec-18−0.63.146[27]

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MDPI and ACS Style

Kim, D.-J.; Dinh, T.-V.; Lee, J.-Y.; Choi, I.-Y.; Son, D.-J.; Kim, I.-Y.; Sunwoo, Y.; Kim, J.-C. Effects of Water Removal Devices on Ambient Inorganic Air Pollutant Measurements. Int. J. Environ. Res. Public Health 2019, 16, 3446. https://doi.org/10.3390/ijerph16183446

AMA Style

Kim D-J, Dinh T-V, Lee J-Y, Choi I-Y, Son D-J, Kim I-Y, Sunwoo Y, Kim J-C. Effects of Water Removal Devices on Ambient Inorganic Air Pollutant Measurements. International Journal of Environmental Research and Public Health. 2019; 16(18):3446. https://doi.org/10.3390/ijerph16183446

Chicago/Turabian Style

Kim, Dong-June, Trieu-Vuong Dinh, Joo-Yeon Lee, In-Young Choi, Dong-Jin Son, In-Young Kim, Young Sunwoo, and Jo-Chun Kim. 2019. "Effects of Water Removal Devices on Ambient Inorganic Air Pollutant Measurements" International Journal of Environmental Research and Public Health 16, no. 18: 3446. https://doi.org/10.3390/ijerph16183446

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