Abstract
Purpose
The purpose of this study was to evaluate the influences of volatile organic compounds (VOCs) emissions on hazardousness and photochemical reactivity and to propose efficient VOCs abatement strategies.
Methods
The atmospheric concentrations of 101 components of VOCs were measured at six sites which comprehend four urban areas, a roadside area, and an industrial area in Hyogo Prefecture. VOCs influence on hazardousness and photochemical reactivity were evaluated using VOCs measured data and the index on the health effect evaluation and ozone formation potential. The substances that require emissions reduction were selected from the evaluation results. The state and characteristics of environmental pollution were considered from the concentration trends of the selected substances.
Results
In industrial area, n-hexadecane, styrene, vinyl chloride monomer, and 1,2-dichloroethane showed a high concentration. In roadside area, n-hexane, n-undecane, n-dodecane, tetrachloroethylene, formaldehyde, acetaldehyde, and 1-butanol showed a high concentration. The excess cancer incidences for formaldehyde exceeded 10−5 of the level of concern for carcinogenic effect at all sites. Toluene had a high percentage of ozone production. The interannual and seasonal trends of toluene concentrations were different at a regional level and the formaldehyde concentrations in summer were significantly higher than those in winter at the urban sites.
Conclusions
The results show the need to prepare the emission reduction plan for the major sources such as vehicle exhaust, solvent use, and industrial processes to diminish the concentration of toluene that contributes significantly to the formation of photochemical oxidant.
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1 Introduction
According to the Air Pollution Control Law of Japan, a volatile organic compound (VOC) is defined as one that becomes gas in the atmosphere. Major sources of VOCs include vehicle exhausts, gasoline evaporation, solvent use, natural gas emissions, and industrial processes (Friedrich and Obermeier 1999). VOCs are emitted into the atmosphere from industrial plants (Na et al. 2001; Tsai et al. 1995), vehicles (Colon et al. 2001; Notells et al. 2000), and households (Kostiainen 1995; Sack et al. 1992). VOCs consist of more than 500 compounds with various properties (Lewis et al. 2000). Some of them (e.g., benzene, 1,3-butadiene, and tetrachloroethylene) directly influence human health due to their carcinogenicities, neurological disorders, and so on (Jo and Song 2001; Kostiainen 1995; Mukund et al. 1996; Sweet and Vermette 1992). They are also important precursors of the photochemical oxidant, which is primarily composed of ozone, peroxyacetyl nitrate, and carbonyl compounds (Atkinson 2000; Wakamatsu et al. 1996). Carbonyl compounds are one of the VOCs, and formed indirectly from VOCs as mentioned above and emitted directly from motor vehicles and incomplete combustion of hydrocarbon fuels in industrial machinery and industrial processes (i.e., production of paper, adhesive, automobile, etc.) (Grosjean et al. 1993, 1996, 2002; Liu et al. 2006; Moussa et al. 2006; Possanzini et al. 2002; Sin et al. 2001; Viskari et al. 2000). In addition, some of them are irritants for skin, eyes and nasopharyngeal membranes and toxic to human health. In particular, formaldehyde and acetaldehyde are suspected to be carcinogenic and mutagenic to humans (WHO 2000). And that is, VOCs release primary (directly emitted from sources) and secondary (formed by atmospheric chemical reactions) pollutants. Thus, VOCs are considered to comprise a very important category of air pollutants. Furthermore, individual VOCs significantly differ in terms of their effect on hazardousness and photochemical reactivity (Hoshi et al. 2007). Therefore, in order to propose efficient air pollution abatement strategies, it is important to know the sources and behavior of VOCs and evaluate the influence of VOCs emissions on hazardousness and photochemical reactivity. The results of investigations on the state of environmental pollution of VOCs have been reported by many researchers (Filella and Penuelas 2006; Iovino et al. 2009; Kerbachi et al. 2006; Laowagul and Yoshizumi 2009; Lee et al. 2002; Martins et al. 2007; McCarthy et al. 2007; Pankow et al. 2003; Parra et al. 2009; Qin et al. 2007; Wu et al. 2011). For example, Lee et al. quantified the concentrations of VOCs at five urban sites. And, Pankow et al. determined the ambient air concentrations of 88 VOCs in samples taken at 13 semi-rural to urban locations. Also, Wu et al. measured 15 hazardous air pollutants including eight VOCs at six sites for more than a year between 2000 and 2002 and further estimated the potential health risks based on the monitored data. However, the results of the evaluations of the influence on both hazardousness and photochemical reactivity by using VOCs measurements have rarely been reported. In this study, the atmospheric concentrations of 101 components of VOCs were measured at six sites which comprehend four urban areas, a roadside area, and an industrial area in Hyogo Prefecture. And, VOCs influence on hazardousness and photochemical reactivity were evaluated using VOCs measured data and the index on the health effect evaluation and ozone formation potential. Furthermore, the substances that require emissions reduction were selected from the evaluation results. And, the state and characteristics of environmental pollution were considered from the concentration trends of the selected substances.
2 Materials and methods
2.1 Measuring procedure of ambient air samples
Ambient air samples were collected once a month for 5 years (from 2005 to 2009) at six sites which comprehend urban areas (Sanda, Nishiwaki, Toyooka, and Sumoto), a roadside area (Ashiya), and an industrial area (Takasago) in Hyogo Prefecture, Japan. The location of the sampling sites is shown in Fig. 1. The target compounds for measurement were 101 components of VOCs (31 alkanes, 12 alkenes, 18 aromatic hydrocarbons, 28 organic halogen compounds, 11 oxygenated compounds, and one nitrogenous compound). The analytical methods for these compounds were based on the manual released by the Ministry of the Environment, Japan (Ministry of the Environment, Japan 2010a, b, c).
2.1.1 VOCs except aldehydes and ethylene oxide
A multi-bed sorbent tube containing graphitized carbon (Carbopack B, Sigma-Aldrich Co.) and a carbon molecular sieve (Carboxen-1000, Sigma-Aldrich Co.) was used for sampling air. A glass tube with an infill of a desiccant (magnesium perchlorate) was connected before a tube to eliminate water. An air sample was drawn through the tube at a flow rate of 10 ml min−1 for 24 h, and VOCs were adsorbed and collected into the tube. An analysis was carried out using a thermal desorption system (ATD-400, Perkin-Elmer Co.) and Gas chromatography–mass spectrometry (GC-MS; QP-5000, Shimadzu Co.). The operational conditions of the thermal desorption system were as follows: primary desorption temperature, 300°C; primary desorption time, 5 min; second-stage trap temperature during primary desorption, −20°C; second-stage trap desorption temperature, 350°C; hold time, 15 min; sorbent for second-stage trap, Carbopack B and Carboxen-1000. The operational conditions of GC-MS were as follows: column, VOCOL (0.53 mm I.D. × 105 m, df = 3 μm, Sigma-Aldrich Co.); GC oven program, 0°C for 9 min, 5°C min−1 to 100°C, 15°C min−1 to 220°C, and hold time, 13 min.
2.1.2 Aldehydes
Ambient air samples were collected at five sites except industrial area. A cartridge containing silica gel coated with 2,4-dinitrophenylhydrazine (DNPH) (Sep-Pak XPoSure Aldehyde Sampler, Waters Co.) was used for sampling air. To prevent aldehyde breakthrough, two cartridges were connected in series, and an ozone scrubber (Waters Co.) was connected before the cartridges to prevent the interference of ozone. An air sample was drawn through the cartridge at a flow rate of 100 ml min−1 for 24 h, and aldehydes were reacted with DNPH to form a derivative within the cartridge. After collection, aldehyde-DNPH derivatives were eluted with 5 ml of acetonitrile. Twenty microliters of eluate was injected into the HPLC system (LC-VP, Shimadzu Co.) through an auto-injector. The operational conditions of HPLC were as follows: column, Shim-pack FC-ODS (150 × 4.6 mm I.D., 3 μm particles, Shimadzu Co.); mobile phase, 60:40, acetonitrile/water (in volume ratio); flow rate, 1 ml min−1; detector, UV at 360 nm.
2.1.3 Ethylene oxide
Ambient air samples were collected at four urban sites. An adsorbent tube containing a carbon molecular sieve coated with hydrogen bromide (ORBO-78, Sigma-Aldrich Co.) was used for sampling air. An air sample was drawn through the tube at a flow rate of 700 ml min−1 for 24 h, and ethylene oxide reacted with hydrogen bromide to form 2-bromoethanol into the tube. After collection, 2-bromoethanol was eluted with 1 ml of a toluene-acetonitrile mixed solvent (1:1, in volume ratio). One microliter of eluate was injected into GC-MS (GC, 6890N, Agilent Ltd.; MS, JMS-Q1000GC K9, JEOL Ltd.) through an auto-injector. The operational conditions of GC-MS were as follows: column, SUPELCOWAX10 (0.25 mm I.D. × 30 m, df = 0.25 μm, Sigma-Aldrich Co.); GC oven program, 40°C for 5 min, 5°C min−1 to 100°C, 20°C min−1 to 200°C, and hold time, 3 min.
2.2 Evaluation procedure on the hazardousness of VOCs
In the case of a carcinogenic effect, the hazardousness of VOCs was evaluated by calculating the excess cancer incidence (ΔR).
where UR is the inhalation unit risk (per μg m−3) and MC is the mean concentration (μg m−3). The inhalation unit risk is the lifetime risk of excess cancer cases predicted to occur from continuous exposure to a compound at a concentration of 1 μg m−3 in the air. If the excess cancer incidence is more than or equal to 10−5, it is determined that a detailed evaluation of the carcinogenic effect is required. Unit risk values for each substance were taken from the Integrated Risk Information System (IRIS) (US EPA 2010). The substances without unit risk values were not included in the evaluation process. Table 1 shows the unit risk values for the measured substances. The unit risk value for benzene is set to be in the 2.2 × 10−6/μg m−3 to 7.8 × 10−6/μg m−3 range. In this study, 5.0 × 10−6/μg m−3 of a median was used to calculate the excess cancer incidence. In the case of a noncarcinogenic effect, the hazardousness of VOCs was evaluated by calculating the hazard quotient (HQ).
where RfC is the inhalation reference concentration (μg m−3). The inhalation reference concentration is an estimate of a continuous inhalation exposure concentration to people who are likely to be without risk of deleterious effects for their lifetime. If the hazard quotient is more than or equal to one, it is determined that a detailed evaluation of the noncarcinogenic effect is required. The reference concentration values for each substance were taken first from the IRIS (US EPA 2010). When the environmental quality standard or guideline value of a specific substance had been set in Japan, it was used as the reference concentration. However, because those of benzene, 1,3-butadiene, 1,2-dichloroethane, and vinyl chloride monomer are set on the basis of the carcinogenic effect (Ministry of the Environment, Japan 2010a, b, c), reference concentrations for these substances were taken from the IRIS. The substances without any reference concentrations were not included in the evaluation process. Table 1 shows the reference concentration values for measured substances.
2.3 Evaluation procedure on the photochemical reactivity of VOCs
The photochemical reactivity of these VOCs was evaluated by calculating the ozone production (μg m−3).
where maximum incremental reactivity (MIR) is the maximum incremental reactivity. The maximum incremental reactivity is defined as the maximum amount of ozone that the component per unit weight can produce in the atmosphere. The maximum incremental reactivity provided by the CalEPA (2010) was used. The substances without maximum incremental reactivity values were not included in the evaluation process. Table 2 shows the maximum incremental reactivity of measured substances.
2.4 Statistical analysis
Mean, standard deviation, and median values were calculated for each chemicals, sampling sites, seasons, and months. It is not clear attempt analyzing these atmospheric data using Student’s t test, as parametric data with limited data number (n = 15). Wilcoxon test were used median value for nonparametric data in this study. Statistical confidence level was given 1% to evaluate statistically significant difference between the highest and the second highest median value in sampling sites (1% significance, Wilcoxon test).
3 Results and discussion
3.1 Concentrations of VOCs
The target compounds for measurement were 101 components of VOCs (31 alkanes, 12 alkenes, 18 aromatic hydrocarbons, 28 organic halogen compounds, 11 oxygenated compounds, and one nitrogenous compound). Table 3 shows the concentrations of VOCs at sampling sites. The data lower than the method detection limit (MDL) was evaluated at half the concentration of the MDL value. Methylcyclopentane and bromomethane were detected in less than half of the samples, therefore a median value was reported as a half of the MDL. cis-1,2-Dichloroethylene, 1,1-dichloroethane, 1,1,2-trichloroethane, 1,1,2,2-tetrachloroethane, 1,2-dibromoethane, trans-1,3-dichloropropene, cis-1,3-dichloropropene, hexachloro-1,3-butadiene, m-dichlorobenzene, and benzyl chloride were not detected, therefore mean and median values were reported as a half of the MDL. The difference between the highest and the second highest median values in the sampling sites was examined statistically using a Wilcoxon test, one of non-parametric statistical tests. As a result, the substances that the difference was significant at a 1% level were n-butane, isobutane, cyclopentane, n-hexane, n-nonane, n-undecane, n-dodecane, n-tridecane, n-tetradecane, n-hexadecane, 2-methyl-1,3-butadiene, styrene, 1,2,4-trimethylbenzene, dichloromethane, vinyl chloride monomer, 1,1-dichloroethylene, 1,2-dichloroethane, 1,1,1-trichloroethane, tetrachloroethylene, formaldehyde, acetaldehyde, and 1-butanol. In industrial area (Takasago), n-hexadecane, styrene, vinyl chloride monomer, and 1,2-dichloroethane showed a high concentration. In roadside area (Ashiya), n-hexane, n-undecane, n-dodecane, tetrachloroethylene, formaldehyde, acetaldehyde, and 1-butanol showed a high concentration. Takasago is typically an industrial area where many manufacturing factories are located around the sampling site. One of them is a polyvinylchloride factory. Vinyl chloride monomer is used in the production of polyvinylchloride (Na et al. 2001). 1,2-Dichloroethane is intermediate for synthesis of vinyl chloride monomer (Incavo 1996; Sotowa et al. 1999). These results suggested that the exhaust gas from this factory influenced the high concentration of these chemicals only in Takasago. n-Hexane and n-undecane are components of gasoline and n-undecane, n-dodecane, and n-hexadecane are ones of light diesel oil. Additionally, styrene, formaldehyde, and acetaldehyde are the substances that the emission from automobile is large in Japan (Ministry of the Environment, Japan 2010a, b, c). These results suggested that the emission from automobile influenced the high concentration of n-hexadecane and styrene only in Takasago and n-hexane, n-undecane, n-dodecane, formaldehyde, and acetaldehyde only in Ashiya. The reason for the higher concentrations of tetrachloroethylene and 1-butanol only in Ashiya needs more investigation. In other substances, n-butane showed a high concentration only in Sumoto urban area. The sampling site in Sumoto is located in the center of the city, and there is a lot of traffic around the site. Olson et al. (2009) have reported that concentrations of 55 VOCs were measured near the roadway and n-butane was one of the highest concentration chemicals of individual VOCs. These results suggested that the emission from automobile influenced the high concentration of this chemical only in Sumoto.
3.2 Evaluation on the hazardousness and the photochemical reactivity of VOCs
The excess cancer incidences were calculated using VOCs measured data and the unit risk values to evaluate human health risk for carcinogenic effect. Table 1 shows the unit risk values for the measured substances. The unit risk value for benzene is set to be in the 2.2 × 10−6 per μg m−3 to 7.8 × 10−6 per μg m−3 range. In this study, 5.0 × 10−6 per μg m−3 of a median was used to calculate the excess cancer incidence. Figure 2 shows the health risk estimation for VOCs by excess cancer incidence. For formaldehyde, acrylonitrile, and acetaldehyde, the excess cancer incidences were more than 10−5 of the level of concern for carcinogenic effect at one or more sites. Particularly, for formaldehyde, they were in the 10−4 to 10−5 range at all sites. This result indicated the need to reduce formaldehyde emissions from the standpoint of their carcinogenic risk. The hazard quotients were calculated using VOCs measured data and the reference concentration to evaluate human health risk for noncarcinogenic effect. The reference concentration values for the measured substances are shown in Table 1. Figure 3 shows the health risk estimation for VOCs by the hazard quotient. Although the hazard quotients of acrylonitrile, 1,3-butadiene, acetaldehyde, and toluene were higher than those of other substances, they were less than 1 of the level of concern for noncarcinogenic effect at all sites. This suggested that the need for reduction measures of the noncarcinogenic effect is small at this time. The ozone productions were calculated using VOCs measured data and the MIR values to evaluate the photochemical reactivity. The MIR values for the measured substances are shown in Table 2. Figure 4 shows the calculation results of the ozone productions for VOCs. Toluene had a high percentage of the ozone production at all sites. This result indicated the need to reduce toluene emissions from the standpoint of the photochemical oxidant formation.
3.3 Concentration trend of the selected substances
As a result of the above evaluation, toluene and formaldehyde were selected as the substances requiring emissions reduction. The state and characteristics of environmental pollution were considered from the concentration trends of these substances.
3.3.1 Toluene
The trends of the annual mean concentrations for toluene at sampling sites are shown in Fig. 5. The interannual change tendencies of toluene concentrations were different at a regional level. It was determined that the annual mean concentrations generally continued to be flat in Nishiwaki, Toyooka, Sumoto, and Ashiya, and exhibited an increasing tendency in Sanda. In Takasago, the annual mean concentration in 2007 was relatively higher than the others. It could be that the concentration tendency in Sanda is due to the influence of vehicle emission owing to the increase in traffic around the sampling site because of rapid urbanization over the last few years, that the high concentration in 2007 in Takasago is due to the influence of industrial fume because of the presence of factories that emitted toluene around the sampling site, and that many of the predominant wind directions at the time of measurement were on the side of the factories in 2007. Toluene concentration in roadside area (Ashiya) was not high compared with the other areas. This result was in contrast with the previous study that the highest concentration of toluene was observed at the site exposed directly to road traffic emissions (Kerbachi et al. 2006). The trends of the seasonal concentrations for toluene at sampling sites are shown in Fig. 6. The seasonal concentration trend differed according to the sampling site. The differences in toluene concentrations between summer and winter are uncertain at all sites, although Parra et al. (2009) have reported that toluene concentration was higher in winter than in summer due to higher atmospheric stability. Toluene is emitted from many sources such as vehicle exhaust, solvent use, gasoline evaporation, fossil fuel combustion, landfill, tobacco smoke, or adhesive (Baek and Jenkins 2004; Filella and Penuelas 2006; Kim and Kim 2002; Na et al. 2004; Sack et al. 1992). Therefore, it was presumed that the interannual and seasonal trends of toluene concentrations were different at a regional level because the conditions of the above emission sources, wind direction, and wind speed had a significant influence on the toluene concentration.
3.3.2 Formaldehyde
The trends of the annual mean concentrations for formaldehyde at the sampling sites are shown in Fig. 7. Formaldehyde concentrations have been reduced at all sites in 2009 compared in the previous year. Especially, in Ashiya, it exhibited relatively more reduction rate than others. This could be because of the decrease in traffic. The comprehension of the future concentration trend is required to identify the exact reason. The trends of the seasonal concentrations for formaldehyde at sampling sites are shown in Fig. 8. The seasonal concentrations increased from spring to summer and decreased from summer to winter at all the urban sites. The seasonal concentrations increased from spring to summer and decreased from summer to winter at all the urban sites. There were significant differences between formaldehyde concentrations in summer and winter at above sites except Ashiya as roadside area (1% significance, Wilcoxon test). The exact reason for this needs more investigation. The above seasonal patterns of formaldehyde in urban areas were consistent with those from other studies (Ceron et al. 2007; Ho et al. 2002; Pang and Mu 2006). For example, Ceron et al. measured the concentrations of 5 carbonyl compounds including formaldehyde in a semi-urban site and found that the levels of carbonyl compounds showed a strong seasonal trend with the following relative abundance: summer > autumn > winter because photochemical activity and temperature played an important role in the creation of carbonyl compounds in the sampling site during the summer. Ho et al. determined ambient levels of five carbonyl compounds including formaldehyde in urban area and found that the mean concentrations of formaldehyde and acetaldehyde were significantly higher in summer because they were produced photochemically at a higher level in summer. Therefore, it was quite possible that the formaldehyde concentrations in summer were significantly higher than those in winter at the urban sites because the formation of photochemical oxidant had a significant impact on the formaldehyde concentration in summer.
4 Conclusions
The atmospheric concentrations of 101 components of VOCs were measured at six sites which comprehend four urban areas, a roadside area, and an industrial area in Hyogo Prefecture. VOCs influence on hazardousness and photochemical reactivity were evaluated using VOCs measured data and the index on the health effect evaluation and ozone formation potential. As a result, excess cancer incidences for formaldehyde exceeded 10−5 of the level of concern for carcinogenic effect at all sites. In addition, toluene had a high percentage of ozone productions. The state and characteristics of environmental pollution were considered from the concentration trends of toluene and formaldehyde. Therefore, it was presumed that the interannual and seasonal trends of toluene concentrations were different at a regional level because the conditions of above emission sources, wind direction, and wind speed had a significant influence on the toluene concentration. It was quite possible that formaldehyde concentrations in summer were significantly higher than those in winter at the urban sites because the formation of photochemical oxidant had a significant impact on the formaldehyde concentration in summer. The results show the need to prepare the emission reduction plan for the major sources such as vehicle exhaust, solvent use, and industrial processes to diminish the concentration of toluene that contributes significantly to the formation of photochemical oxidant.
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Okada, Y., Nakagoshi, A., Tsurukawa, M. et al. Environmental risk assessment and concentration trend of atmospheric volatile organic compounds in Hyogo Prefecture, Japan. Environ Sci Pollut Res 19, 201–213 (2012). https://doi.org/10.1007/s11356-011-0550-0
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DOI: https://doi.org/10.1007/s11356-011-0550-0