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Technical Papers

Driver exposure to particulate matter in Bangkok

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Pages 64-71 | Published online: 29 Dec 2011

Abstract

The aims of this study were to determine the particulate matter with aerodynamic diameters ≥2.5 μm (PM2.5) and 2.5–10 μm (PM10–2.5) exposure levels of drivers and to analyze the proportion of elemental carbon (EC) and organic carbon (OC) in PM2.5 in Bangkok, Thailand. Four bus routes were selected. Measurements were conducted over 10 days in August (rainy season) 2008 and 8 days in January (dry season) 2009. The mean PM2.5 exposure level of the Tuk-tuk drivers was 86 μg/m3 in August and 198 μg/m3 in January. The mean for the non-air-conditioned bus drivers was 63 μg/m3 in August and 125 μg/m3 in January. The PM2.5 and PM10–2.5 exposure levels of the drivers in January were approximately twice as high as those in August. The proportion of total carbon (TC) in PM2.5 to the PM2.5 level in August (0.97 ± 0.28 μg/m3) was higher than in January (0.65 ± 0.13 μg/m3). The proportion of OC in the TC of the PM2.5 in August (0.51 ± 0.08 μg/m3) was similar to that in January (0.65 ± 0.07 μg/m3). The TC exposure by PM2.5 in January (81 ± 30 μg/m3) remained higher than in August (56 ± 21 μg/m3). The mean level of OC in the PM2.5 was 29 ± 13 μg/m3 in August and 50 ± 24 μg/m3 in January. In conclusion, the PM exposure level in Bangkok drivers was higher than that in the general environment, which was already high, and it varied with the seasons and vehicle type. This study also demonstrated that the major component of the PM was carbon, likely derived from vehicles.

Implications:

Exposure to fine particulate matter (PM2.5) in public transportation vehicles could have harmful health effects on both drivers and commuters in Bangkok, Thailand, where air pollution from vehicle exhaust is a serious problem. Exposure to fine particulate matter within moving vehicles has not been sufficiently investigated. Thus, the authors measured the levels of PM2.5 within various types of transportation vehicles in Bangkok. The results are the first to demonstrate that drivers and commuters in Bangkok are exposed to a high level of PM2.5, which cannot be detected by current roadside monitoring, and suggest the need for further pollution control measures.

Introduction

Studies of airborne particulate matter (PM) and its impact on public health have demonstrated adverse health effects at exposure levels that are currently experienced by urban populations. (WHO, 2005). Many studies have demonstrated that fine particulate matter, with an aerodynamic diameter of less than 2.5 μm (PM2.5), is more hazardous than PM10 (i.e., fine particulate matter with an aerodynamic diameter of less than 10 μm) and PM10–2.5 (i.e., fine particulate matter with an aerodynamic diameter of larger than 2.5 μm and less than 10 μm). (CitationBarnett et al., 2005; CitationBarnett et al., 2006; CitationBell et al., 2008; CitationBurnett and Goldberg, 2003; CitationBurnett et al., 2004; CitationDockery et al., 1989; CitationDockery et al., 1993; CitationDominici et al., 2006; CitationDominici et al., 2007; CitationFranklin et al., 2007; CitationHolloman et al., 2004; CitationHost et al., 2008; CitationKlemm and Mason 2003; CitationMiller et al., 2007; CitationOstro et al., 2006; CitationPeng et al., 2008; CitationSchwart et al., 1996) The guidelines set forth by the World Health Organization (WHO) for PM2.5 are 10 μg/m3 for the annual mean and μg/m3 for the 24-hr mean; the guidelines for PM10 are 20 and 50 μg/m3, respectively (WHO, 2005). Several studies have evaluated the importance of chemical composition, especially carbonaceous fractions and organic carbon (OC), for adverse health effects (CitationPedersen et al., 2005; CitationSchnelle-Kreis et al., 2009). OC includes polycyclic aromatic hydrocarbons, some of which are carcinogens (CitationKume et al., 2007; CitationPedersen et al., 2005; CitationSchnelle-Kreis et al., 2009; CitationUS Environmental Protection Agency, 2010). The measurement of elemental carbon (EC) to identify the source of carbonaceous pollutants is also required (CitationBae et al., 2009; CitationMkoma et al., 2010).

Bangkok is a typical large Asian city with a population of approximately 9.1 million and heavy traffic volume. In 1998 and 1999, almost all PM10 concentrations in the four highly polluted districts, which are located less than 4 km from the city center of Bangkok, exceeded the Thailand National Ambient Air Quality Standard of 120 μg/m3 for the daily average concentration (CitationJinsart et al., 2002; CitationOstro et al., 2009; CitationVichit-Vadakan 2008). Urban traffic air pollution has been linked to an increase in the prevalence of respiratory function impairment among traffic police in Bangkok and policemen's wives (CitationKarita et al., 2001; CitationKarita et al., 2004). Furthermore, higher prevalence of respiratory symptoms and impaired lung function has been observed among children in areas with high pollution compared with those in areas in Bangkok with lower pollution (CitationTamura et al., 2003; CitationLangkulsen et al., 2006). Not only the traffic policemen, but also the general population in Bangkok may be exposed to high levels of air pollution, especially when they are moving along the roadside. Information relating to this is scarce. The measurement of PM exposure levels in drivers on the streets in Bangkok is important in determining countermeasures for preventing their high exposure to PM and other air pollutants.

The aims of this study were to determine the PM2.5 and PM10–2.5 exposure levels of drivers, and to analyze the proportion of EC and OC in PM2.5. We also investigated the differences in PM2.5, PM10–2.5, and PM10 exposure levels among drivers of different types of vehicles (air-conditioned bus, non-air-conditioned bus, Tuk-tuk [motorized three-wheelers], and taxis), and examined seasonal effects in Bangkok.

Subjects and Methods

Subjects

In Bangkok, we searched for bus routes where both air-conditioned buses and non-air-conditioned buses drove the same routes, and we selected four routes: No. 4, No. 12, No. 29, and No. 93 of the Bangkok Mass Transit Authority. For all transportation modes, the air samplings were conducted close to the drivers (behind the driver's seat in the bus and Tuk-tuk and next to the driver in the taxi). The pollutants were sampled at the same time and on the same routes for all four vehicle types.

Methods

Sampling PM

Figure 1 shows the four bus routes and the seven Pollution Control Department Stations. The starting point was a large bus station in Bangkok. The measurements were conducted for 10 days in August (rainy season) 2008 and 8 days in January (dry season) 2009, with five collections for each day (total, 90 samples). Each driver drove each route for an average 5.7 hr (range, 3.3–9.8). The time for one round trip was 1.4–6.6 hr. Each driver completed a roundtrip once in the morning and another in the afternoon.

Measurements of the drivers' PM2.5 and PM10–2.5 exposure levels were conducted using personal samplers (ATPS-20H, filterholder with cascade impactors; Sibata Scientific Technology Ltd., Tokyo, Japan), which were set near the drivers. The PM2.5 and PM10–2.5 levels outside the windows of the vehicles were also measured. The filter holder was connected to a portable pump (MP-Σ3; Sibata) providing a constant airflow of 1.5 L/min. PM, which was larger than PM10, was originally collected using a metal impaction plate coated with silicon grease immediately downstream of the inlet. PM10–2.5 that was not captured by the impaction plate was collected on a 10-mm Teflon filter, which was made of borosilicate glass microfibers reinforced with woven glass cloth and bonded with Polytetrafluoroethylene (PTFE) (TX40HI20; Pall Corp., Port Washington, NY), with a 50% cut point of 10 μm. Next, PM2.5 was collected on a similar 19-mm Teflon filter with a 50% cut point of 2.5 μm. Two samplers were always used for collecting and measuring PM, OC, and EC concurrently.

Weighing PM and the analysis of OC and EC levels

The PM10–2.5 and PM2.5 mass concentrations were obtained by weighing the filters before and after the sampling, always after a storage period (24 hr) in a temperature- and humidity-controlled room (ambient temperature, 23 ± 0.2 °C; relative humidity, 50% ± 1%), using an ultra-microbalance with a sensitivity of 0.1 μg (UMX-2; Mettler-Toledo, Inc., Columbus, OH). The PM10 mass concentration was obtained as the sum of PM10–2.5 and PM2.5 mass concentrations. PM concentration levels below the detection limit were recorded as 0.05 μg/m3, which was calculated as a tenth of the analytical limit, from the combination of the 0.1 μg weight detection limit and approximately 0.2 m3 of the lowest sampling air volumes.

The concentrations of OC and EC in the quartz fiber filter samples were measured using a thermal/optical carbon analyzer (DRI Model 2001 Carbon Analyzer; Desert Research Institute, Las Vegas, NV) (CitationChow et al., 1993). Punched filter samples (8 mm ϕ) were analyzed using the IMPROVE protocol (OC1 = 120 °C, OC2 = 250 °C, OC3 = 450 °C, OC4 = 550 °C [in a 100% He atmosphere], EC1 = 550 °C, EC2 = 700 °C, EC3 = 800 °C [in a 2% O2/98% He atmosphere]) and the detection limits of the sample were 0.5 μg (CitationChow et al., 2001). Because the PM10–2.5 masses from the bus and taxi samples were small, and most of the OC and EC concentrations in PM10–2.5 were equivalent to the negative controls, we excluded the OC and EC in PM10–2.5 from the analysis. For the PM2.5 samples, a pyrolysis correction of OC was made based on the filter reflectance.

Statistical analyses

All data analyses were performed using the SPSS Statistics 18 (SPSS Japan Inc., Tokyo, Japan) package. The means were compared using the Mann-Whitney U test or Kruskal-Wallis rank-sum test. P values < 0.05 were deemed statistically significant.

Results

PM exposure levels of drivers in Bangkok

From the total of 90 samples collected, due to trouble with the sampler, seven PM10–2.5 samples and an additional two samples with damaged filters were excluded. The mean, median, and range of the PM2.5 exposure levels of air-conditioned bus, non-air-conditioned bus, Tuk-tuk, and taxi drivers in August 2008 and January 2009 are listed in . All but one of the PM2.5 exposure levels in the four vehicle types were greater than 50 μg/m3. The mean PM2.5 exposure level for the Tuk-tuk drivers was 86 μg/m3 in August and 198 μg/m3 in January. The mean for the non-air-conditioned bus drivers was 63 μg/m3 in August and 125 μg/m3 in January. Seventy percent of the PM10 exposure levels of the four types of vehicle drivers in August 2008 (mean of 75 μg/m3; median of 64 μg/m3; range of 23–190 μg/m3) and all of the PM10 exposure levels of the drivers in January 2009 (mean of 164 μg/m3; median of 150 μg/m3; range of 64–403 μg/m3) were greater than 50 μg/m3. presents the mean, median, and range of the PM10–2.5 exposure levels of the four types of drivers and four routes in August 2008 and January 2009. The PM10–2.5 levels in January were significantly higher than those in August for each type of vehicle (P < 0.01). PM10–2.5 levels in January were significantly higher than those in August along routes Nos. 12, 29, and 93 (P < 0.01). The proportion of PM2.5 to PM10 was 76% in August 2008 and 80% in January 2009.

Table 1. Exposure levels to PM2.5 Footnote* (μg/m3) of four driver types and outside the taxi (a) and four routes (b) in August 2008 and January 2009

Table 2. Exposure levels to PM10–2.5 Footnote* (μg/m3) of four driver types and outside the taxi (a) and four routes (b) in August 2008 and January 2009

The PM2.5, PM10–2.5, and PM10 levels in January 2009 were significantly higher than those in August 2008 (P < 0.01). In August 2008, the PM2.5, PM10–2.5, and PM10 levels on the No. 4 route were the highest among the four routes. In January 2009, the PM2.5 and PM10 levels on the No. 12 route were the highest among the four routes, and the PM10–2.5 on the No. 93 route was the highest among the four routes.

The Tuk-tuk drivers were exposed to the highest levels of PM2.5 and PM10, and the non-air-conditioned bus drivers were exposed to the highest PM10–2.5 levels. In terms of PM2.5 exposure, the Tuk-tuk drivers showed significantly higher levels than the other drivers, in both August 2008 and January 2009 (P < 0.01). In terms of PM10–2.5 exposure, the Tuk-tuk drivers and the non-air-conditioned bus drivers showed significantly higher levels than the air-conditioned bus drivers and taxi drivers, in both August 2008 and January 2009; however, the PM10–2.5 exposure level of the Tuk-tuk drivers was not significantly higher than that of the non-air-conditioned bus drivers in August 2008 or January 2009 (P < 0.05). In terms of PM10 exposure, the Tuk-tuk drivers and the non-air-conditioned bus drivers showed significantly higher levels than the air-conditioned bus drivers and the taxi drivers, in both August 2008 and January 2009 (P < 0.01). The PM10 exposure level of the Tuk-tuk drivers was higher than that of the non-air-conditioned bus drivers in January 2009 (P < 0.01), but not in August. lists the proportion of PM2.5 to PM10 for the four types of drivers and four routes in August 2008 and January 2009. The majority of the particulates collected were fine ones; on average, PM2.5 comprised more than 70% of PM10.

Table 3. The proportions of PM2.5 levels to PM10 levels of four driver types and outside the taxi (a) and on four routes (b) in August 2008 and January 2009

The proportion of PM10-2.5 exposure in the non-air-conditioned bus drivers and the Tuk-tuk drivers compared with that of the taxi drivers was 11.5 and 9.8 in August 2008 and 4.5 and 3.7 in January 2009, respectively. Furthermore, the proportion of PM2.5 exposure of the non-air-conditioned bus drivers and the Tuk-tuk drivers compared with that of the taxi drivers was 1.1 and 1.6 (August 2008) and 1.1 and 1.8 (January 2009), respectively. The PM10–2.5, PM2.5, and PM10 levels outside taxis were significantly higher than those inside taxis, both in August 2008 and January 2009.

OC, EC, and total carbon (TC) concentration

lists the TC levels in the PM2.5 and three relevant proportions (TC to PM, OC to PM, and OC to TC) in August 2008 and January 2009. All of the exposure levels to TC and OC/TC differed significantly among the four driver types according to the Kruskal-Wallis rank-sum test (P < 0.01). In the PM2.5 samples, the mean OC levels were 38-74 μg/m3 in August 2008 and 54–123 μg/m3 in January 2009. The mean proportions of the TC in the PM2.5 were 0.89–1.07 and 0.57–0.71 in August 2008 and January 2009, respectively. The proportions of TC in PM2.5 to the PM2.5 levels in August (0.97 ± 0.28) were higher than those in January (0.65 ± 0.13), and those of the OC in TC in August (0.51 ± 0.08) were similar to those in January (0.65 ± 0.07), but the proportion of OC to TC remained higher in January compared to August.

Table 4. Total carbon (TC) exposure levels in the PM2.5 and three relevant proportions (TC levels to PM2.5 levels, organic carbon [OC] levles to PM2.5 levels, and OC levels to TC levels [mean ± SD]) in August 2008 (a) and January 2009 (b)

The proportions of OC to TC in the PM2.5 in August 2008 were significantly lower than those in January 2009. The proportions of OC in the PM2.5 were 0.42–0.54 and 0.34–0.47 in August 2008 and January 2009, respectively. The proportions of OC to TC in the PM2.5 were 0.46–0.59 and 0.60–0.72 in August 2008 and January 2009, respectively. presents the TC, OC, and EC exposure levels in the PM2.5 of drivers along the four bus routes in Bangkok during August 2008 and January 2009. The TC exposures by PM2.5 in January (81 ± 30 μg/m3) were still higher than those in August (56 ± 21 μg/m3). The mean ± SD of OC in the PM2.5 was 29 ± 13 μg/m3 in August and 50 ± 24 μg/m3 in January. The difference between the OC and EC levels was found to be significant by the Mann-Whitney U test.

Table 5. Exposure levels (mean ± SD) to total carbon (TC), organic carbon (OC), and elemental carbon (EC) in the PM2.5 of the drivers on the four driving routes in Bangkok in August 2008 (a) and January 2009 (b)

Discussion

In our study, drivers in Bangkok were exposed to high PM levels. The PM2.5 exposure levels of the drivers of Tuk-tuk and non-air-conditioned buses, who were directly exposed to air pollution in the street, were similar to the levels (82–143 μg/m3) in highly polluted areas of Bangkok in 1998 and 1999 (CitationKarita et al., 2001). These levels were above the WHO guideline for PM2.5 (25 μg/m3), although the guideline is based on a 24-hr exposure, whereas our values were for approximately 6 hr. PM2.5 exposure levels of the drivers of Tuk-tuk and non-air-conditioned buses were also higher than the environmental PM2.5 levels of other cities, such as New York in 2001 and 2002 (0.47–53.7 μg/m3), Grenoble, France, in 1996 and 1997 (4.3–49.1 μg/m3), Shizuoka, Japan, in 2001 and 2002 (31.2 [19.3–41.7] μg/m3), and London (43.4 μg/m3 inside taxis), and similar to the levels in Beijing, China in 2006 (76 μ/m3 in the winter, 94 μ/m3 in the summer) (CitationHopke et al., 2003; CitationKaur et al., 2009; CitationKume et al., 2007; CitationWang et al., 2008; CitationZmirou et al., 2000). Additionally, 84% of the PM10 exposure levels of the drivers were higher than the WHO guidelines, which allow a 24-hr exposure of 50 μg/m3. (WHO, 2005).

Our results revealed that the PM exposure to the drivers of Tuk-tuk and the non-air-conditioned bus was significantly higher than that of the air-conditioned bus and taxi drivers. The windows of the air-conditioned buses and the taxies were usually closed during driving. Tuk-tuk drivers and the non-air-conditioned bus drivers were directly exposed to the air in the street. The relative proportions of PM2.5 exposure to the drivers of Tuk-tuks and non-air-conditioned buses compared with that of the taxi drivers were higher than those for PM10–2.5 exposure. These results suggested that the filtering devices in the air-conditioned buses and the taxis may decrease the levels of PM10-2.5 more effectively than the levels of PM2.5, and that more efficient filtering devices may be required to decrease the PM2.5 levels inside the vehicles.

In this study, the PM levels in January were significantly higher than those in August. The average PM2.5 level in January 2009 was higher in air-conditioned buses by 48 μg/m3, in non-air-conditioned buses by 62 μg/m3, in Tuk-tuks by 112 μg/m3, inside taxis by 58 μg/m3, and outside taxis by 71 μg/m3, compared to the average PM2.5 levels in August 2008 (). Likewise, the Pollution Control Department stations (PCD stations) in Bangkok () reported that the PM10 level in January 2009 was higher than that in August 2008, suggesting a higher level of PM10 during the dry season compared with the rainy season in Bangkok. The daily average PM10 level measured at the PCD on the same days of our measurements at the general stations was 37.4 μg/m3 for August 2008 and 42.3 μg/m3 for January 2009. The PCD data for PM10 from the roadside stations during the same periods showed 61.5 μg/m3 for August 2008 and 79.3 μg/m3 for January 2009. The average PM10 levels measured at both of the general stations and the roadside stations were higher in January 2009 than in August 2008 (P < 0.05). The PM10 levels at Din Daeng, one of the roadside PCD stations on 6 of 8 days in January 2009 were greater than 120 μg/m3, the National Standard of Thailand. The background levels in Bangkok were greater than 37.4 μg/m3; thus, our results suggest that the exposure level of drivers exceeded the WHO guidelines due to additional PM10 exhausted from vehicles. According to the explanation of the WHO, the standard level of PM2.5 is 50% of the standard level of PM10. The proportion of PM2.5 to PM10 for the drivers in our study was greater than 70%. Our results suggest that the average PM2.5 exposure levels of drivers in Bangkok are probably higher than the levels that the WHO guidelines allow.

Figure 1. Bangkok bus routes and Pollution Control Department stations. PCD = Pollution Control Department, Ministry of Natural Resources and Environment.

Figure 1. Bangkok bus routes and Pollution Control Department stations. PCD = Pollution Control Department, Ministry of Natural Resources and Environment.

Other studies have shown that PM levels in Asian countries are strongly influenced by seasonal variations ( CitationBegum et al., 2006; CitationGatari et al., 2006; CitationHo et al., 2006; CitationWang et al., 2008). During our survey in the rainy season (autumn), the temperature, dew-point temperature, and precipitation were 29.0 °C, 23.4 °C, and 8.5 mm, respectively, on average. Rainfall was observed 8 out of 10 days. During our survey in the dry season (winter), the average temperature was 25.3 °C, the average dew-point temperature was 16.5 °C, and the average precipitation was 0.0 mm. No precipitation was observed on these study days. We believe that rain or forest fires may influence the PM levels seasonally, but further studies are needed to confirm this assumption.

The level of OC in the PM samples and the proportion of TC to the PM2.5 levels in Bangkok were higher than those of other cities (CitationJapan Central Environment Council, 2009). It was unusual that the proportion of TC to PM2.5 ranged from 0.89 to 1.07 in August 2008; this may be attributable to the evaporation of organic carbons and volatile inorganic ions due to high temperatures during sampling or storage at room temperature after sampling.

From another experiment, the decrease in weight during storage at room temperature for a month was 10% ± 11% (data not shown). Some volatile and semivolatile organic carbons may have evaporated. Thus, the proportion of TC to PM2.5 levels may have been overestimated. The true PM2.5 value may have been higher had we analyzed the filters immediately after they were collected. Another study also reported that the proportion of TC to PM2.5 levels was much higher during the wet season than in the dry season, but the reason was unclear (CitationMkoma et al., 2010). Nevertheless, the proportions of TC levels to the PM2.5 levels were higher than those of other cities (0.06–0.17 in Japan in 2008) (CitationJapan Central Environment Council, 2009). PM2.5 has been reported to be produced primarily by human activities, including driving cars and manufacturing (CitationFushimi et al., 2008; CitationJapan Central Environment Council, 2009; WHO, 2005). To date, measurements of the exposure concentrations of EC and OC in PM2.5 while driving vehicles have been scarce. Although the concentrations of EC and OC in PM2.5 along the roadside in Bangkok were not measured simultaneously in our study, our results indicated that the concentrations OC in PM2.5 to which drivers of vehicles in Bangkok were exposed were high compared to those in other cities.

Because the current study collected data in only two series, in August and January, the conclusions reached may require further confirmation by repeated measurements. Our results, however, seem to be typical in Bangkok, Thailand, and may be used to facilitate considerations of making changes to the traffic system in Bangkok and improving the work environment for drivers.

Conclusions

This study demonstrated that drivers in Bangkok were exposed to high concentrations of fine particulate matter (PM2.5) as well as organic and elemental carbon, and that there were different PM exposure levels among drivers of different vehicle types. Also, the PM2.5 exposure level of drivers in Bangkok varied by season. The carbonaceous component of PM2.5 while driving vehicles in Bangkok was high and differed from that of environmental PM2.5. Because the PM2.5 in Bangkok consisted largely of OC, which usually contains various toxic substances, only weighing PM2.5 may not be sufficient to evaluate the health effects of air pollution in Bangkok.

Acknowledgments

Partial funding of this study was received from The National Research University Project of CHE and the Ratchadaphiseksomphot Endowment Fund (CC307A). Mr. Chanin Kaewmanee is most appreciative of the post-graduate scholarship from the 90th Anniversary of Chulalongkorn University Fund.

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