Academic Editor:Francesco Cairo
1, Department Industrial Chemistry, Faculty of Sciences, Federal University Oye-Ekiti, Ekiti State 234-80343451, Nigeria
Received 16 April 2014; Revised 5 August 2014; Accepted 8 August 2014; 21 August 2014
This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
1. Introduction
Monitoring of volatile organic compounds (VOCs) is a key piece in understanding photochemical air quality in urban atmosphere. VOCs degradation in the atmosphere contributes significantly to the generation of secondary air pollutants, such as aldehydes and peroxyacetyl nitrate (PAN) secondary aerosol [1]. Anthropogenic sources such as incomplete combustion of organic substances, the use of petrochemical solvents, and vaporizations of petroleum products [2] are sources of VOCs. Studies on the relationship between VOCs profiles and emission sources in ozone episode regions have shown that ozone formation is VOC limited [3]. Elevated levels of volatile organic compounds are known to be prevalent in the atmosphere of most world cities [4-9]. VOCs in cities atmosphere consist of hundreds of nonmethane hydrocarbons and each of them has different reaction rate, lifetime, and reaction mechanisms in the atmosphere [10-12]; hence, the relative contribution of individual VOC species to the photochemical O3 formation varies from one compound to another [13, 14] and from region to region. Reactive VOCs such as olefins are important in the formation of tropospheric ozone [15, 16]. Ozone is produced by a complex reaction taking place among NO x and VOCs in presence of sunlight [1, 3]. Thus, there is a need to understand both the distribution and chemical reactivity of the VOCs.
Several studies have provided information on reactivity and ozone creation potentials of nonmethane hydrocarbons in some cities of the world [17-20]. Unfortunately, most of such studies are in atmosphere of Asian and European cities. Until recent time, when we began the studies of VOCs and ozone formation [21] in Nigeria cities, studies have so far been rather limited to atmospheric levels and the variations pattern in ambient atmosphere [22-24].
Benin City, Southern Nigeria, is one of the urban settlements in the country's oil-rich zone. It is the administrative headquarter of Edo states and a transitory city leading to the southern, southwestern, and northern parts of the country. The city has a population of about 1.3 million inhabitants [25] and steady traffic density especially during the weekdays. Recent reports on the climatic pattern in Nigeria, especially southern part where Benin city belongs to, showed increasing trend in both rainfall and temperature as a major feature of, or evidence of, climate change in the City [26]. Air pollution studies [27] in the city also revealed increase in ozone levels along with NO x concentration due to increase traffic activities in the city. Currently, the recent increase in importation of second-hand cars and wide spread adaptation of single engine "okada" motorcycles for ferrying passengers have accentuated the general levels of atmospheric hydrocarbon.
As part of our efforts in understanding the behaviors of VOCs in the atmosphere of Nigerian cities, this paper is aimed at identifying key VOC species and assessing the reactivities of each VOC in the atmosphere of Benin City, Southern Nigeria. The study also includes evaluation of the relative ozone-forming potentials of the captured VOC species in the atmosphere of this urban settlement of Southern Nigeria from data obtained between May 2010 and June 2011. Hopefully, the study will provide data that would assist in understanding the processes of reaction rate and degradation of atmospheric VOCs and helpful in better policy formulation towards reduction of the impacts of ozone in the areas.
2. Methodology
2.1. The Study Area
Benin City, Southern Nigeria, is located between longitude 6.20°N and latitude 5.31°E. It is situated within the equatorial climatic belt (Af Koppen's climatic classification) and is one of the urban centers in southern part of the country with about 1.3 million habitants [25]. It is the administrative headquarter of Edo states; hence, an urban residential area with high population and steady traffic density especially during the weekdays. The city lies within such areas which receive adequate rainfall of between 2000 mm and 3000 mm annually. Its mean monthly temperature and relative humidity are 28°C and 80%, respectively [26]. Benin City is about 85 m above the sea level at the highest point.
2.2. Sampling Locations
Table 1 gives the coordinate and description of the sampling locations for the collection of our data within Benin City. The study sites were carefully chosen to reflect the different pattern of human activities dominating in the areas. The sampling procedures have been discussed in our previous work [21]. The sampling period covers wet and dry seasons at different sites to highlight the temporal variability.
Table 1: The coordinate and description of the sampling locations.
sSite | Site code | Coordinates | Site description |
1 | BNAR | N06° 20[variant prime] 52.1[variant prime][variant prime] E005° 40[variant prime] 18.2[variant prime][variant prime] | Created along Ramat park, close to a petroleum depot and two breweries |
| |||
2 | BNUG | N06° 24[variant prime] 10.1[variant prime][variant prime]E005° 36[variant prime] 32.2[variant prime][variant prime] | Ugbowo monitoring site created at the University of Benin main gate and close to fuel dispensing stations along the express way to the western part of the country |
| |||
3 | BNNB | N06° 20[variant prime] 57.3[variant prime][variant prime] E005° 37[variant prime] 25.1[variant prime][variant prime] | Site three created at New Benin bus terminal. A location with very high traffic density and petroleum products dispensing stations |
| |||
4 | BNRR | N06° 38[variant prime] 45.1[variant prime][variant prime] E005° 37[variant prime] 20.1[variant prime][variant prime] | Created at the King's square with many road intersections and high traffic density |
| |||
5 | BNSP | N06° 17[variant prime] 44.6[variant prime][variant prime] E005° 38[variant prime] 8.9[variant prime][variant prime] | Created along Sapele road very close to the Santana market |
| |||
6 | BNEN | N06° 19[variant prime] 28.4[variant prime][variant prime] E005° 35[variant prime] 99.3[variant prime][variant prime] | Ekenwan site close to the University of Benin postgraduate student hostel |
| |||
7 | BNOL | N06° 19[variant prime] 17.8[variant prime][variant prime] E005° 38[variant prime] 12.5[variant prime][variant prime] | 3rd East Circular road site with many road intersections |
| |||
8 | BNAU | N06° 19[variant prime] 42.6[variant prime][variant prime] E005° 36[variant prime] 86.7[variant prime][variant prime] | Upper Adesuwa in GRA, close to Word of Faith secondary school |
| |||
9 | BNSP | N06° 18[variant prime] 28.4[variant prime][variant prime] E005° 38[variant prime] 16.5[variant prime][variant prime] | Upper Sakponba junction, a bus stop with many shops |
| |||
10 | BNEK | N06° 38[variant prime] 45.1[variant prime][variant prime] E005° 46[variant prime] 00.5[variant prime][variant prime] | Odighi site, a background site, created close village square |
2.3. Samples Collection
Samples of ambient air were collected using active sampling method. The air was withdrawn by low volume pump at controlled air flow and adsorbed into Chromosorb 106 as adsorbent. The sensitivity and reliability of the sampling approach have been reported [28, 29].
2.4. Chemical Extraction and Analysis
After sampling, adsorption tubes were labeled and closed with special caps to avoid contamination. The desorption process, chemical extraction, and analysis have been discussed elsewhere [21, 22].
2.5. Quality Assurance/Control
A quality assurance program was implemented in the framework of which all analytical systems related to the analysis of VOCs have been checked for their performance. Laboratory and field blanks analysis were carried out during each sampling period. Extraction solvent (CS2 ) was also analyzed. The blank activated carbon tubes as well as process blank were analyzed to determine if there was any contamination in the activated carbon tubes. None of the compounds included in this study were detected in CS2 and in process blanks. The efficiency of the adsorbent was tested by using a backup tube after a sampling. Sampling efficiency of acetone and acetate was found to be 87% and 73%, respectively.
Various quality control tools were used in order to ensure that adequate laboratory performance was maintained. These included control charts for standard solutions and analysis of control standards as unknowns. The calibration curve was found to show good linearity, with determination coefficients ( [figure omitted; refer to PDF] ) greater than 0.999 for all the compounds. The limits of detection for BTEX were determined for most VOCs using sample volume of 10 mL and the values calculated in absolute mass. The limits of detection for carbonyls were found to be 0.1 μ gm-3 for acetone and 0.1 μ gm-3 for benzene, toluene, ethyl benzene, m,p-xylene, and 0.2 μ gm-3 for o-xylene.
2.6. Estimation of Ozone Formation Potential
Recently, different methods are used to define the reactivity for ozone forming potential from nonmethane hydrocarbon. In this study, the contribution of individual VOC to ozone formation was also studied according to the propylene-equivalent concentration [30, 31] and maximum incremental reactivity (MIR) methods [32].
Propylene-equivalent is a measure of the concentration of hydrocarbon on an OH-reactivity based scale normalized to the reactivity of propene. The propylene-equivalent is defined as [figure omitted; refer to PDF] where [figure omitted; refer to PDF] is defined as a concentration of individual VOC species, [figure omitted; refer to PDF] is the rate constant for the reactivity of individual VOC, and [figure omitted; refer to PDF] is the rate constant for reaction of C3 H6 with OH radical.
The ozone formation potential is evaluated as product of the concentration of each VOC and the maximum incremental reactivity coefficient (MIR). The MIR is defined as [figure omitted; refer to PDF] where [figure omitted; refer to PDF] is defined as ozone formation potential of individual hydrocarbon [figure omitted; refer to PDF] and MIR [figure omitted; refer to PDF] is the maximum incremental reactivity coefficient of compound [figure omitted; refer to PDF] , [32].
3. Results and Discussion
3.1. General Distributions of Total Volatile Organic Compounds in Atmosphere of Benin City
Ambient VOCs data for this study were the measured data generated between May, 2010, and June, 2011. In our previous report [20], a total of fifteen volatile organic compounds species were successfully identified and quantified in ambient air of Benin City, amongst which were four alkanes, 6 aromatic compounds, 3 chlorinated hydrocarbons, and 1 carbonyl compound. These compounds were used in this study. The total concentration of VOCs was obtained by summing the concentrations of individual species detected.
Figure 1 presents the TVOCs distribution by compound types in the sampling sites of Benin City. The figure clearly showed spatial variation in VOC speciation in the nine sites for the measurements. The most abundant class of VOCs species in atmosphere of the studied center are aromatic hydrocarbons, aliphatic, carbonyl, and halogenated compounds. Aromatic accounted for between 61 and 77% in most sites; this was followed by aliphatic 20-7%, while 5-21% halogenated compounds and carbonyl followed. Comparing the percentage of VOCs grouping in this study with similar urban centers earlier studied, Foshan, China, [12] shows that the compositions of VOCs in Benin City showed similarities with those of anthropogenic traffic impacted urban centers.
Figure 1: Plot of mean values of TVOCs of different classes in atmosphere of Benin City.
[figure omitted; refer to PDF]
3.2. Mixing Ratios of Ambient VOC Species in Benin City
Table 2 presents the VOC composition and descriptive statistics of the observed VOCs species at the sampling sites of Benin City. In terms of composition, the VOC species in Benin City compared with the observed VOCs in others cities of the world (Hong Kong) [33] (Guangzhou, China) [34] as hydrocarbon such as n-butane, isopentane, toluene, xylene isomers, ethylbenzene, and benzene are abundant. The mixing ratios of the individual VOCs was obtained by finding the average mean concentrations obtained in the nine sampling sites. On the basis of average concentrations, the most abundant VOCs were in decreasing order: toluene (5.82), mp-xylene (3.58), ethylbenzene (3.46), Benzene (2.29), and n-butane (0.84). A comparison of the mixing ratios in our study with earlier reports from cities in Asia (Seoul), Europe, and other parts of the world previously studied [8, 12, 21] the values revealed that the obtained values in this study are lower than those measured in most Asian cities. The variation may be attributed to population difference in these cities.
Table 2: Composition and descriptive statistic of the observed VOCs.
VOC species | Mean ± SD | Morning | Afternoon | Evening |
n-Butane | 0.84 ± 0.01 | 0.79 ± 0.04 | 0.75 ± 0.16 | 0.98 ± 0.42 |
Isopentane | 0.1 ± 0.01 | 0.1 ± 0.04 | 0.1 ± 0.02 | 0.1 ± 0.08 |
2-Methylpentane | 0.95 ± 0.67 | 0.8 ± 0.07 | 0.98 ± 0.02 | 1.09 ± 0.08 |
3-Methylpentane | 0.09 ± 0.33 | 0.1 ± 0.01 | 0.08 ± 0.02 | 0.1 ± 0.01 |
Undecane | 0.54 ± 0.13 | 0.87 ± 0.08 | 0.62 ± 0.07 | 0.14 ± 0.01 |
Benzene | 2.29 ± 1.07 | 2.03 ± 0.16 | 2.71 ± 0.19 | 2.15 ± 0.07 |
Toluene | 5.82 ± 0.67 | 5.6 ± 0.96 | 5.87 ± 0.54 | 6.01 ± 1.03 |
Ethylbenzene | 3.46 ± 1.33 | 3.84 ± 0.53 | 3.08 ± 0.05 | 3.47 ± 1.14 |
m,p-Xylene | 3.58 ± 1.11 | 3.72 ± 1.03 | 3.81 ± 0.92 | 3.21 ± 0.79 |
o-Xylene | 2.23 ± 0.33 | 2.24 ± 0.58 | 2.26 ± 0.14 | 2.2 ± 0.05 |
Naphthalene | 0.88 ± 0.06 | 0.73 ± 0.11 | 1.03 ± 0.08 | 0.9 ± 0.04 |
Methylene chloride | 0.79 ± 0.01 | 0.67 ± 0.02 | 1.02 ± 0.04 | 0.69 ± 0.02 |
Tetrachloroethane | 0.96 ± 0.12 | 0.89 ± 0.06 | 0.97 ± 0.10 | 1.03 ± 0.08 |
Carbon tetrachloride | 0.03 ± 0.01 | 0.04 ± 0.01 | 0.06 ± 0.02 | 0.01 ± 0.01 |
Chloroform | 0.24 ± 0.03 | 0.28 ± 0.09 | 0.27 ± 0.04 | 0.18 ± 0.03 |
Acetone | 0.92 ± 0.11 | 0.85 ± 0.16 | 1.02 ± 0.30 | 0.9 ± 0.12 |
A cursory look at the distribution pattern of VOC species in Benin City revealed that aromatic hydrocarbons (BET) were ranked among the VOCs species with high concentrations. The sources of aromatics in the atmosphere cities are fuel combustion and evaporation of fuel and solvents [8, 9] along with emissions from industrial solvents and evaporative such as cosmetics, paints application, printing processes, dry cleaning, use of air-conditioning; photocopies, and lamination machines. The possible sources of these compounds in Benin City are the small scale industries located in the City.
Among the alkanes, isopentane and n-butane have highest mean concentrations of 0.35 μ gm-3 and 0.34 μ gm-3 , respectively, in the city. Isopentane is a typical tracer of gasoline evaporation [5, 12]. Gasoline evaporation is common in the city, as open displayed of the product and marketing of LP in most parts of the city. Halogenated hydrocarbons are emitted from a wide variety of industrial activity, both big factories and smaller business, from land fill and other waste processing activity. According to Singh et al. [35] the main sources of acetone are primarily biogenic decaying plant matter, biomass burning, and direct anthropogenic sources. The possible sources for acetone in Benin City are biogenic sources and anthropogenic especially the indiscriminate discharge of refuse.
3.3. Diurnal Variations
Table 2 also presents the diurnal distribution of VOC species in Benin City. The distribution pattern revealed that some species showed bimodal pattern with morning and evening peaks. The diurnal pattern of aromatics (BEX) was observed to follow a similar pattern, indicating that these compounds have a similar source and dispersion pattern, with high concentrations in the morning and during afternoon. In most Nigerian cities, emissions from vehicle traffic begin at around 6.00 a.m and stay till 9.00 a.m. This period coincides with the hours of maximum traffic volume as a result of the rush to get to the offices, schools, and the city markets. Therefore the two peaks indicate emissions of vehicles related pollutants dominated in the city. The observations in this study agree well with earlier reports that low wind speed is responsible for poor dispersion and dilution of pollutants in atmosphere [25, 27].
3.4. Ozone Formation Potential
According to Wang et al. [16], the actual amount of ozone produced by a given hydrocarbon depends on their particular oxidation mechanism and their abundance. Under typical atmospheric conditions, reactions with the hydroxyl radical are the most rapid and account for a large portion of pollutant degradation during daylight hours. One of the objectives of this study is to examine the relative importance of the abundant atmospheric hydrocarbon compounds for their potential role in the production of ozone. For this purpose, we estimate the reactivity of the abundant hydrocarbon with hydroxyl radical (OH) in each studied centre, which represents the contribution of each species to the OH lost rate.
Table 3 presents the reactivity of hydrocarbons measured in the atmosphere of Benin City relative to OH radical. The result in our study shows that, ranking by propyl-equivalent, the alkanes included in this study, butane, isopentane, methylpentane, and methylhexane, account for 58% of the total propyl-equivalent concentration.
Table 3: Reactivity and ozone formation potential of the measured VOCs in atmosphere of Benin City.
VOC species | Group | [figure omitted; refer to PDF] | OH reactivity | Prop-equiv. | MIR | OFP |
n-Butane | Aliphatic | 2.54 | 0.86 | 0.03 | 1.08 | 0.367 |
Isopentane | 5.6 | 1.96 | 0.08 | 1.36 | 0.476 | |
2-Methylbutane | 2.59 | 0.96 | 0.04 | 1.11 | 0.411 | |
3-Methylpentane | 3.7 |
| 0.05 | 1.7 | 0.595 | |
Undecane |
|
|
|
|
| |
| ||||||
Benzene | Aromatic | 11.2 | 26.43 | 1.01 | 0.55 | 1.298 |
Toluene | 1.23 | 2.90 | 0.11 | 0.69 | 1.628 | |
Ethylbenzene | 5.96 | 12.28 | 0.47 | 3.88 | 7.993 | |
m,p-Xylene | 7.1 | 26.70 | 1.02 | 2.93 | 11.02 | |
o-Xylene | 19 | 32.11 | 1.22 | 15.21 | 25.7 | |
Naphthalene | 13.7 | 7.12 | 0.27 | 7.44 | 3.869 | |
| ||||||
Methylene chloride |
|
|
|
| 3.24 | 0.194 |
Carbon tetrachloride |
|
|
|
| 0.036 | 0.006 |
Chloroform |
|
|
|
| 0 | 0 |
Acetone |
|
|
|
| 0.02 | 0.002 |
|
|
|
|
| 0.35 | 0.147 |
[figure omitted; refer to PDF] corresponds to the reaction rate coefficient (cm3 molecule-1 s-1 ) × 10-12 published by Atkinson [15].
OH reactivity: product of mean individual VOC concentration and OH reaction rate coefficient.
The total ozone creation potential in the atmosphere of the Benin City was calculated to be 281.1 μ g/m3 . The highest photochemical O3 formation of 25.7 μ g/m3 comes from m,p-xylene. This is followed in decreasing order by ethylbenzene (11.02 μ g/m3 ), undecane (26.43 μ g/m3 ), 1,2,4-trimethylbenzene (18.85 μ g/m3 ), and toluene (12.27). The results showed slight variation from our observation at Akure and Ado-Ekiti, Southwestern Nigeria, in a previous study [21]. These results indicate that aromatics played the most significant role in O3 formation in the studied center. Guo et al. [34] also found that m-, p-xylene and toluene were ranked high in ozone formation in urban Hong Kong where the reactivity of VOC was dominated by anthropogenic sources. The fact that undecene, an aliphatic group and heavy hydrocarbon from diesel combustion, was ranked among the highest contributions to ozone formation in our study suggested that this pollutant needs to be monitored in the area. This is imperative as alkanes have longer lifetimes and can be transported farther from their sources; hence they can produce a higher concentration of ozone even though the local concentrations are very low.
Figure 2 shows the ozone formation potential at each sampling site of Benin City. It can be observed that the highest ozone concentration was observed at Sapele road. The site is also located toward the outskirt of the city; hence this observation may be attributed to the proximate of this sampling site to most refuse disposal sites around the sampling site.
Figure 2: Spatial variation of ozone in sampling sites of Benin City.
[figure omitted; refer to PDF]
A comparison of total ozone formation potential (OFP) in our study with results from other cities of the world revealed that the total concentration of ozone production in our study is 3-fold lower than the value of 863.4 μ g/m3 reported in Foshan, China [32].
4. Conclusions
The VOC concentration in ambient air of an urban settlement of Benin City was studied to understand the distribution patterns. The TVOCs were found to show significant spatial variation among the nine sampling sites of Benin City. The diurnal trend of TVOCs concentrations showed bimodal peaks with morning and evening peaks which followed the traffic pattern of the study centers and suggest the importance of vehicular emission. The prevalence of low wind speed in the studied centers was also observed to be responsible for the poor dilution and dispersion of the emitted VOCs. Evaluation of ozone formation potentials of the four classes of hydrocarbons detected showed that aromatics play important roles in ozone formation in the centres.
Acknowledgment
The author wishes to express gratitude to ETF fund for the sponsorship of this research work.
Conflict of Interests
The author declares that there is no conflict of interests regarding the publication of this paper.
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Copyright © 2014 Emmanuel Gbenga Olumayede. Emmanuel Gbenga Olumayede et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
The relative contribution of individual volatile organic compounds (VOC) species to photochemical ozone formation depends on their atmospheric concentrations and their oxidation mechanism. In an attempt to evaluate the ozone creation potential of ambient VOCs captured in an urban settlement of Benin City, Nigeria, the VOCs concentrations data collected in field studies at nine measurement sites of different air quality in the city and a background site were analysed. Air samples were collected at human breathing height of 1.5 meters from ground level at each site. Active sampling method using the low volume sampling pump (Acuro, Drager, Lubeck, Germany) was used to drawn the air into the tube; the absorbent was Chromosorb 106. The sampling periods were between May 2010 and June 2011; the period covered both dry and wet seasons. The adsorbed gases were desorbed using solvent extraction method with carbon disulphide as solvent. The extracted solutions were analyzed with gas chromatography and mass spectrometer. The observed concentrations of individual VOCs were determined and maximum incremental reactivity (MIR) coefficient along with rate constants of VOC-OH reactions were applied to assess the ozone formation potential of individual VOC in the ambient atmosphere. Sixteen VOC species were observed at various sites with mixing height in decreasing order: toluene (5.82), mp-xylene (3.58), ethylbenzene (3.46), benzene (2.29), and n-butane (0.84). The ozone formation potential study revealed that, ranking by propyl-equivalent, the alkanes included in this study account for 58% of the total propyl-equivalent concentration. The total ozone creation potential in the atmosphere of the Benin City was calculated to be 281.1 µg/m3. A comparison of total ozone formation potential (OFP) in our study with results obtained from other cities of the world revealed that the total concentration of ozone production in our study is threefold lower than the values reported in China city of Foshan. It is suggested that the sources of this pollutant need to be monitored in the area as a way of curtailing the impact of ozone in this city.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer