Chlorinated pesticides and PCBs in the sea-surface microlayer and seawater samples of Singapore

Chlorinated pesticides and PCBs in the sea-surface microlayer and seawater samples of Singapore

Marine Pollution Bulletin 50 (2005) 1233–1243 www.elsevier.com/locate/marpolbul Chlorinated pesticides and PCBs in the sea-surface microlayer and sea...

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Marine Pollution Bulletin 50 (2005) 1233–1243 www.elsevier.com/locate/marpolbul

Chlorinated pesticides and PCBs in the sea-surface microlayer and seawater samples of Singapore Oliver Wurl a

a,b,*

, Jeffrey Philip Obbard

a,b

Department of Chemical and Biomolecular Engineering, National University of Singapore, 4 Engineering Drive 4, Singapore 117576, Singapore b Tropical Marine Science Institute, National University of Singapore, 14 Kent Ridge Road, Singapore 119223, Singapore

Abstract Sea-surface microlayer (SML) and seawater samples collected from SingaporeÕs coastal marine environment were analyzed for selected chlorinated pesticides and polychlorinated biphenyls (PCBs). The SML is a potentialPsite of enrichment of P persistent organic P pollutants (POPs) compared to the underlying water column. The concentration ranges of HCH, DDT and PCB in subsurface (1 m depth) seawater were 0.4–27.2 ng/l (mean ng/l (mean 0.1 ng/l) and 0.05–1.8 ng/l (mean 0.5 ng/l) respecP 4.0 ng/l), P 0.01–0.6P tively. In the SML, the concentration ranges of HCH, DDT and PCB were 0.6–64.6 ng/l (mean 9.9 ng/l), 0.01–0.7 ng/l (mean 0.2 ng/l) and 0.07–12.4 ng/l (mean 1.3 ng/l) respectively. High spatial and temporal distribution was observed for all POPs measured. However, overall levels measured in the SML were lower than levels reported in the literature for SML samples from temperate coastal regions—possibly due to loss of semi-volatile compounds in the tropical climate of Singapore. Atmospheric wet deposition during the monsoon season may be an important source of POPs to the SML. This study provides the first scientific data on POP concentrations and enrichment factors in the SML for Southeast Asia.  2005 Elsevier Ltd. All rights reserved. Keywords: Sea-surface microlayer; Seawater; Organochlorines; Persistent organic pollutants; Southeast Asia

1. Introduction The surface microlayer SML of the ocean represents the boundary layer between the atmosphere and the ocean surface body, and has a typical thickness of 40– 100 lm. The SML is enriched in naturally occurring organic compounds, including protein, lipids and organic surfactants giving it a distinct chemical composition (Hardy, 1982; Garabetian et al., 1993). Anthropogenic contaminants, including persistent organic pollutants (POPs) are known to hyper accumulate in the SML resulting in an enrichment relative to the underlying *

Corresponding author. Address: Department of Chemical and Biomolecular Engineering, National University of Singapore, 4 Engineering Drive 4, Singapore 117576, Singapore. Tel.: +65 6774 9920; fax: +65 6774 9654. E-mail address: [email protected] (O. Wurl). 0025-326X/$ - see front matter  2005 Elsevier Ltd. All rights reserved. doi:10.1016/j.marpolbul.2005.04.022

water column. There is also evidence that flocculated particles floating on the sea surface may act as an important sink for POPs in the water column of coastal areas (Wurl and Obbard, submitted for publication). For example, Mato et al. (2001) reported that plastic resin microparticulates floating on the sea surface play an important role in the transport of contaminants in the marine environment and may represent another medium for the accumulation of contaminants in the SML. Concentration levels and enrichment factors of POPs in the SML sampled in different parts of the world have been reviewed by Wurl and Obbard (2004). The SML is considered to be a unique ecosystem with a high biodiversity of organisms, and is a critical habitat for the early-life stages of many fish and invertebrate species (Hardy, 1982). POPs in the SML of polluted coastal waters have been shown to induce a toxic response in fish larvae (Cross et al., 1987; Hardy et al.,

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1987). As such, the enrichment of POPs in the SML represents a potential threat to both natural marine biodiversity and commercial fisheries. The tropical island-state of Singapore is located 120 km north of the equator in Southeast Asia, with Malaysia to the north and Indonesia to the south. Due to its strategic trade location within the Straits of Malacca, Singapore has over 140,000 ship movements per year (2002 data), making it one of the busiest ports in the world. Singapore is also home to the worldÕs third largest petroleum refining centre with a processing capacity in excess of 1 million barrels of oil per day. Basheer et al. (2003) reported the prevalence of chlorinated pesticides and PCBs in the coastal seawater of Singapore. The aim of this study was to determine the concentration levels of chlorinated pesticides and PCBs in the SML samples from Singapore and to identify potential sources. Data reported represents the first measurements of POPs in SML samples from Asian coastal waters.

2. Experimental 2.1. Sample locations Sampling was conducted between November 2003 and March 2004 at the coastal sampling locations shown in Fig. 1. Sampling locations no. 1 (Pulau Seletar) and no. 2 (Pulau Tekong) are affected by shipping traffic and river discharges. Sample locations no. 3 (St. John

Island) and no. 7 (Raffles Lighthouse) are located 4 km and 15 km seawards from the main island of Singapore, respectively. Sample location no. 3 is likely to be affected by surrounding shipping anchorage. Location no. 4 (RSYC) is located within a marina and is potentially affected by boat fuelling activity, as well as nearby shipyards and ferry traffic. Sample locations no. 5 (Povan Reservoir) and no. 6 (Kranji) are located in mangrove areas with nearby fish farming and agricultural activities. 2.2. Sampling methods Ten liters of subsurface seawater and SML samples were collected using a rotating drum sampler (Fig. 2), as developed by Harvey (1966) and Carlson et al. (1988). The SML is collected under capillary force by a rotating glass drum (diameter 300 mm, length 500 mm, RPM 7–8) and diverted to a glass container. Simultaneously, subsurface water from a depth of 1 m was collected by a 12 V DC Teflon pump. The sampler device was designed for trace organic analysis of samples, where only stainless steel, anodized aluminum and Teflon materials were used for construction. The sampler device was attached to a small a research vessel by a 5 m long aluminum beam located starboard. The glass drum, Teflon tubing, pumps and sample containers were cleaned thoroughly with acetone prior to sampling. The device was operated in the sea for 10 min to rinse Teflon tubes, pumps and the glass drum with seawater

Fig. 1. Rotating drum sampler for the collection of SML samples.

O. Wurl, J.P. Obbard / Marine Pollution Bulletin 50 (2005) 1233–1243

Fig. 2. Concentrations and enrichment factors (EF) of

before connecting the sampling tubes to sample containers. Approximately 1 l of rainwater samples were collected in a glass container using a stainless steel funnel (0.4 m in diameter). Meteorological data and temperature of the surface water (0.5 and 40 cm depth) were recorded at each sample location and are summarized in Table 1.

P

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HCH in seawater () and SML ( ).

dilution in hexane. Calibration standards were prepared from the working standard solution. Sodium sulfate (Riedel de Haen, Seelze, Germany) was of pesticide grade and cleaned at 400 C for 10 h prior to use. Silica gel (Grade 634, 100–200 Mesh) was obtained from Sigma-Aldrich. Fifty grams of silica gel were soaked in 3 · 200 ml acetone for 12 h under a slow stirring speed and dried at 130 C for 16 h prior to use.

2.3. Standards and reagents 2.4. Sample extraction and cleanup All solvents used in analysis were of pesticide grade. Hexane was purchased from Tedia (Fairfield, OH, USA), acetone and dichloromethane from Sigma Aldrich (St. Louis, USA). Purified water was obtained from ELGA PureLAB UHQ system (Veolia Water Systems, High Wycombe, UK). Mixed standard solutions for pesticides (Z-014C-R) and PCBs (C-QME-01) were obtained from AccuStandard (New Haven, CT, USA). Pentachloronitrobenzene (PCNB) was used as surrogate standard and purchased from AccuStandard. Mixed working standards of 1000 lg/l OCPs, 500–2000 lg/l PCBs and 1000 lg/l of PCNB was prepared by stock

All glassware and sample containers were washed with detergent solution overnight, and then rinsed several time with hot tap water and DI water, and then dried at 220 C for 12 h. No acetone was used to rinse glassware prior to use. Pasteur pipettes and sample vials were cleaned by rinsing with acetone, heated to 400 C for 12 h and kept sealed in a glass bottle. Pasteur pipette and sample vials were rinsed with acetone and dried at 220 C prior to use. All water samples were spiked with 5 ll of a 1000 ll/l PCNB surrogate standard after collection. All water

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Table 1 Description and characteristics of sampling sites Location

Date

c (lm)a

Current

Humidity (%)

Slick (%)b

Low High High Low Low Low

32.4 28.7 28.2 26.9 30.7 28.7

31.7 29.2 28.9 28.5 30.7 29.5

30.3 28.6 28.2 28 29.7 28.2

1–2 2 2 1 2 2

60 71 60 79 71 62

50 0 0 30 5 15

Calm Calm Moderate Calm Low Moderate

Low High Low High Low High

29.5 29.6 29.2 27.6 29.3 28.8

29.3 28.4 30 23.8 29.3 29.3

27.7 28.3 28.3 23.6 28.1 28.1

2 3 2 1–2 2 3

70 69 63 64 68 71

20 0 0 20 10 15

Calm Strong Strong Low Low Low Low

Low High High Low Low Low Low

30.6 29.6 32.2 28.5 27.4 29.3 30.2

31.2 28.9 28.7 28.4 27.5 27.5 29.2

30.3 28.5 28 28.1 26.8 27 28.7

2 2–3 2 1–2 1–2 2 1–2

60 60 72 77 71 68 63

20 0 0 25 10 20 0

Calm Moderate Moderate Calm Low Low

Survey 2 1 2 3 4 5 6

14.01.04 05.02.04 09.02.04 21.01.04 15.01.04 04.02.03

41 53 43 40 45 44

Survey 3 1 2 3 4 5 6 7

03.03.04 17.03.04 18.03.04 11.03.04 04.03.04 10.03.04 24.03.04

60 20 22 42 46 47 48

c

Beaufort scale d

Water

40 52 41 47 50 51

d

c

Surface water

07.11.03 18.12.03 11.12.03 05.11.04 19.11.03 17.12.03

a

Temperature (C) Air

Survey 1 1 2 3 4 5 6

b

Tide

Thickness of collected SML. Visual observation. At depth 0.5–1 cm. At depth 40 cm.

samples were extracted on the same day as collection by liquid–liquid extraction with 3 · 200 ml hexane in a 10-l separation funnel. Rainwater samples were extracted with 3 · 50 ml hexane in a 2-l separation funnel. The samples were shaken for 20 min and allowed to separate for 30 min before transferring the water phase back to the sample container. The organic phase was transferred to a 1000 ml round-bottom flask. The extracts were kept at 20 C for not longer than 16 h before reducing the volume of the cold extracts to 5 ml using a rotary evaporator at below 18 C. A clean-up column containing 4 g of silica gel topped with 2 cm of anhydrous sodium sulfate was washed with 2 · 15 ml hexane. The sample extracts were then transferred onto the column and eluted with 130 ml of hexane and 15 ml of dichloromethane. Elutes were collected as single fraction. The cold extracts were concentrated to about 5 ml at below 18 C and further to 200 ll using a gentle purified nitrogen gas stream. The extracts were then kept in sealed vials at 20 C until ready for analysis. 2.5. Sample analysis Sample analysis was conducted using a QP5050 GCMS equipped with a Shimadzu AOC-20i auto sampler and DB-5 fused silica capillary column (30 m · 0.32 mm ID, film thickness 0.25 lm). Purified helium

was used as carrier gas with a flow rate of 1.5 ml/min. Four microlitres of sample was injected into the GCMS in splitless mode with an injection time of 1 min. Injection and interface temperatures were set to 280 C and 300 C respectively. The oven temperature for analyses of OCPs and PCBs was programmed from 70 C to 140 C at a rate of 25 C min1, 140 C to 179 C at a rate of 2 C min1, 179 C to 210 C at a rate of 1 C min1, 210 C to 300 C at 5 C min1, and held for 10 min. The analysis was conducted in selective ion monitoring mode (SIM). The criteria for compound identification were a retention time within 2 s of the retention time from a standard injection, and a secondary ion ratio of ±30% of the theoretical value for the low range. 2.6. Quality assurance The quality of the analytical method was evaluated by checking the recovery of the surrogate standard. Recoveries of surrogate standard in seawater and SML samples were between 78% and 92% for all samples. Seawater samples (n = 7) were collected at sample location no. 4 prior to the first sampling to evaluate recovery of spiked samples. Spike sample recoveries of PCBs, DDTs, HCHs, ChlordaneÕs, Heptachlor, Heptachlor epoxide, Dieldrin, Aldrin, EndrinÕs, Endosulfan I/II,

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Endosulfan sulfate, Methoxychlor were in the range of 79–104%, 82–95%, 75–126%, 68–125%, 67%–122%, 71–99%, 75–120%, 70–108%, 73–122%, 83–109%, 75– 123%, 76–107%, 72–95% and 69–86%, respectively. The efficiency of the extraction method was tested by conducting sequential extraction steps, as described previously. Analyte recoveries were in a range of 80–100% for all compounds after three extraction steps and therefore considered satisfactory for analysis. At sample location no. 4, triplicate samples were collected during each survey to evaluate reproducibility of the overall method. No samples were collected from the sea surface affected by obvious surface slicks. Relative standard deviations (RSD) for triplicate samples were less than 25% for OCPs and less than 22% for PCB congeners. Potential contamination of solvents used was checked by measurement of POPs in the first and last 100 ml of solvent used from each 4 l stock bottle. Method blanks were carried out for every six samples collected. Control standards were carried out for every four samples analysed to check the performance of analytical system during analysis.

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3. Results and discussion 3.1. Concentrations levels Among the 19 OCPs analysed, HCHs isomers (aHCH, b-HCH, c-HCH and d-HCH) and DDT residues (p,p 0 -DDT, p,p 0 -DDD and p,p 0 -DDE) were most abundant in subsurface and SML P P samples. The concentration range for HCH and DDT in subsurface water varied from 0.4 to 27.2 ng/l and 10 to 630 pg/l, respectively and in SML samples from 0.6 to 64.6 ng/l and 6 to 650 pg/l respectively (Figs. 2 and 3). Data for OCP concentrations reported for subsurface water in this study are comparable with previous studies on bulk seawater conducted elsewhere in Southeast Asia (Table 2). However, the concentrations of OCPs reported for the SML in this study are lower than for available data reported for SML samples taken from coastal areas in temperate regions of the world by a factor of 20 up to 6000 for DDT residues, and up to 3 for HCH isomers (Wurl and Obbard, 2004). The enrichment factors (EF) of OCPs in the SML relative to subsurface water for

Fig. 3. Concentrations and enrichment factors (EF) of

P DDT in seawater () and SML ( ).

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Table 2 Reported concentrations in ng/l of OCPs and PCBs in bulk seawater in the region of Southeast Asia P P P Location Year PCBs DDTs HCHs a

South China Sea Strait of Malacca, Malaysiaa Java Sea, Indonesiaa Indonesiae Phillipinese Thailande Viet Name Singaporee Singaporee a b c d e f g h i j k l

P

1989/1990 1989/1990 1989/1990 1999 1999 2000 1999 2000 1999 2002 2004

b

0.01–0.033 0.02b 0.022b

c

0.004–0.012 0.007c 0.006c

7.4f 3.72f

0.04–61.76h 0.045–1.80b

49.27f 0.03–2.58i 0.01–0.63k

Reference d

0.007–0.91 0.48d 0.058d 42.2f 11.1f 10.1f 15.3f 14.25f 13.3g 1.93–18.44j 0.43–27.16l

Iwata et al. (1993) Iwata et al. (1993) Iwata et al. (1993) UNEP (2002) UNEP (2002) UNEP (2002) UNEP (2002) UNEP (2002) UNEP (2002) Basheer et al. (2003) This study

Open ocean. Sum of 40 PCBs congeners. Sum of p,p 0 -DDE, o,p 0 -DDT and p,p 0 -DDT. Sum of a-HCH and c-HCH. Coastal water. Sum not specified. Only c-HCH. Sum of 8 PCB congeners. Sum p,p 0 -DDD and p,p 0 -DDT. Sum of a-HCH, b-HCH and c-HCH. Sum p,p 0 -DDE, p,p 0 -DDD and p,p 0 -DDT. Sum of a-HCH, b-HCH, d-HCH and c-HCH.

P HCH and DDT were 0.8–6.9 and 0.2–7.6 respectively, but generally ranged between 1.2 and 4. EF values are lower for Singapore SML samples compared to those collected in coastal areas from temperate climatic zones. EF values reported for an estuary in Argentina ranged between 0.1 and 23.1 (Sericano and Pucci, 1984) and 0.2–93 in coastal offshore waters of Croatia (Picer and Picer, 1992). Comparable EF values of 1.7– 3.5 were reported for SML samples collected in the subtropical zone of Alexandria, Egypt (Abd-Allah, 1999). Concentration of other OCPs in seawater samples (SML and subsurface) were mainly below detection limits ranging between 0.01 and 0.2 ng/l among all sample locations. At sample location no. 6, Endosulfan I, Endosulfan II, Aldrin, and cis- and trans-Chlordane were present above detection limits for the first and third survey. The wider range of OCPs detected at this location may Pbe due to discharges from agricultural catchments. PCBs represents the sum of following congeners: 18, 28, 31, 33, 44, 49, 53, 70, 74, 82, 87, 95, 99, 101, 105, 118, 128, 132, 138, 153, 156, 169, 170, 171, 177, 180, 183, 187, 190, 194, 195,P199, 205, 206, 208 and 209. The concentrations of PCBs ranged between 0.05–1.8 ng/l and 0.07–12.4 ng/l in seawater and SML samples, respectively, and EF values ranged between 0.7 P and 39.6 as shown in Fig. 4. Concentrations of PCBs in SML samples in this study are lower than for available data reported for SML samples taken from coastal areas in temperate regions of the world, by a factor of 20–2500 (Wurl and Obbard, 2004). A higher surface temperature of the ocean in tropical areas may be

expected to lead to a lower concentration level of semi-volatile OCPs and PCBs in the SML compared to temperate climate zones. 3.2. Spatial and temporal distribution The spatial distribution of HCHs, DDTs and PCBs measured in seawater The highest P samples Pis significant.P concentrations of HCH, DDT, and PCB were found at sample location no. 4, located within a marina. A petrol station and leisure boat activities within the marina lead to frequent petroleum hydrocarbon slicks on the water surface. Positive correlations between the presence of petroleum hydrocarbons and enrichment of OCPs in the SML were reported by Mikhaylov (1979). Mohnke et al. (1986) suggested that petroleum hydrocarbons may act as an Ôextracting agentÕ for OCPs from subsurface waters to the SML. However, in this study, sample collection from areas affected by surface slicks was specifically avoided and EF values were comparable to these found at other sample locations. The lowest concentrations were found at offshore sample location no. 7, 15 km offshore. Greater hydrodynamic dispersion and stronger currents at offshore locations is known to result in a decline of contaminant levels of in both subsurface water and the SML (Sericano and Pucci, 1984; Cross et al., 1987; Picer and Picer, 1992). Sample location no. 1 is located further inside the Straits of Johor with lower hydrodynamic influences. Sample location no. 2 is characterized by stronger currents and river run-off, but generally the

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Fig. 4. Concentrations and enrichment factors (EF) of

concentration levels are lower compared to sample location no. 1. An evaluation of the temporal distribution of contaminants shows a significant decline of concentrations during the second survey (January–February) compared to levels during the first survey (November–December) by a factor of up to 50. Rainfall patterns for Singapore in 2003 and 2004 show that most rain fell between October and December 2003 during the northeast monsoon (approximately 250 mm per month) and in March 2004 (400 mm), whereas February 2004 had the lowest rainfall incidence (approximately 25 mm) (NEA, 2004). During the first and third survey subsurface and SML samples were collected prior to and after a heavy rainfall event at sample locations no. 4 and 5. The load factor (LF) (Table 3), or the enrichment of contaminants before and after rainfall, is insignificant for subsurface water, but between 2 and 5.9 greater for the SML. This indicates that wet deposition is a significant source of HCH isomers, DDTs and PCB congeners in the SML, but not the subsurface water. Consequently, the EF value increased significantly after

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P PCB in seawater () and SML ( ).

a rainfall event by up to 20 times. In general, the physical effects of rainfall on the structure of the SML are not well understood, but it has been suggested that the small rain droplets below 1 mm in diameter could form a thin film of lower density water on top of the SML which is then slowly mixed with the saline water below (Hasse, 1997). The passage of bigger raindrops creates a turbulent motion and a disturbance of the SML. However, it has been estimated that the renewal and reorientation of organic surface films can occur within 0.2 s following a disturbance event (Dragcevic and Pravdic, 1981), but the mechanism is not well understood. Only two rainwater samples of sufficient volume could be collected in March. The samples were collected 4 km north of sample location no. 4, and results are summarized in Table 4. HCH isomers were predominant in the rainwater samples with concentrations of 200.7 and 219.3 ng/l, approximately two orders of magnitude higher than for DDTs and PCB congeners. HCH isomers tend to partition to water and air due to their higher vapor pressure and water solubility than DDTs and PCBs.

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Table 3 P P P Concentrations in ng/l of HCH, DDT and PCB in seawater and SML before and after rainfall events Load factor (LF)a

Concentration in ng/l Before rainfall Subsurface Sample location no. 4 (November) P 27.2 PHCH DDT 0.3 P PCB 1.8 Sample location no. 5 (March) P HCH 1.49 P DDT 0.04 P PCB 0.35

After rainfall SML

Subsurface

SML

Subsurface

SML

64.6 0.9 2.9

26.1 0.2 0.8

351.7 2.2 17.3

1.0 0.7 0.4

5.4 2.4 6.0

1.0 1.5 0.8

2.0 5.3 3.0

1.96 0.06 0.63

1.46 0.06 0.27

3.91 0.32 1.87

Load factor (LF) represents the enrichment after a rainfall event. a LF = CSub,SML(after)/CSub,SML(before).

Table 4 P P P Concentrations in ng/l of HCH, DDT and PCB in rainwater

3.4. DDT and its metabolites

Compounds

DDT has been banned in many countries in Southeast Asia, but was still used up until 1994 in Vietnam and Thailand, and restricted usage continues in the Philippines (UNEP, 2002). Despite a ban on DDT in 1983, usage in China is still likely P (Chen et al., 2002). P The ratios of DDE/ DDT and DDD/ DDTs can be used to assess how recently DDT inputs occurred to the environment (Maldonado and Bayona, 2002). P P In this study, the DDE/ DDT and DDD/ DDTs ratios in seawater ranged between 0.08–0.46 (mean 0.24) and 0.07–1 (mean 0.46) respectively, and in SML samples between 0.08–0.43P(mean 0.27) and 0.07–0.77 (mean P 0.41). Since the DDE/ DDT and DDD/ DDTs ratios are below unity in both subsurface water and SML samples, it appears that inputs of DDT are still ongoing in SingaporeÕs coastal waters. DDT inputs may be derived from central Southeast Asia by ocean currents and/or atmospheric transport from other parts of Asia. DDT residues in SingaporeÕs coastal sediments may act as a local source of DDT to the marine waters (Wurl and Obbard, 2005).

P HCH P PDDT PCB

Rainwater sample 1 (08.04.2004)

Rainwater sample 2 (21.04.2004)

200.7 2 1.3

219.3 2.2 3

3.3. HCH isomers HCH isomers predominated among the measured OCPs in the coastal waters of Singapore. It has been reported that Lindane (c-HCH) and technical HCH is still used in Southeast Asia (UNEP, 2002; Li, 1999). The a-HCH/c-HCH ratio can be used to identify the source of HCHs in seawater (Chernyak et al., 1995; Maldonado and Bayona, 2002; Zhang et al., 2003). The a-HCH/c-HCH ratio in areas where Lindane has been used typically ranges between 0.2 and 1, due to photochemical transformation of c-HCH to a-HCH, compared to a range of 4–15 for technical mixtures of HCH (McConnell et al., 1993). In this study the aHCH/c-HCH ratio in subsurface seawater ranged between 1.1 and 12.9 and in the SML between 0.4 and 29.4 However, in 72% of all subsurface and SML samples the a-HCH/c-HCH was below 4, indicating Lindane as the main HCH source. Higher ratios may be explained by usage of technical HCH mixtures in the past and/or due to photochemical transformation of c-HCH to a-HCH in the atmosphere with subsequent deposition to the SML. The key environmental sources to SingaporeÕs marine environment may be the regional usage of HCH isomer pesticides and resuspension of HCHs from local sediments. Residual concentrations of HCH isomers in SingaporeÕs coastal sediments have the potential to act as a local source of HCHs to coastal marine waters (Wurl and Obbard, 2005).

3.5. Polychlorinated biphenyls Import of PCBs has been banned in many countries in Southeast Asia, but restricted use, manufacture and import of PCBs are reported for the Philippines and Vietnam (UNEP, 2002). Waste disposal of electrical transformers, oil spillage and sewage from ships may lead to a widespread distribution of PCBs in the marine environment of Southeast Asia. The major PCBs congeners measured in subsurface water and SML samples were PCB 18, 28, 44, 49, 52, 70, 74, 118, 128, 132, 138, 153, 156 and 187. In general tri-, tetra-, and penta-chlorobiphenyls are more abundant in subsurface water, whereas the distribution of PCBs in the SML is characterized by an increasing mass fraction of higher

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Fig. 5. Mass distribution of PCB congeners at sample location no. 1 (a) subsurface waters, (b) SML, and at sample location no. 3 (c) subsurface waters, (d) SML (: survey 1, : survey 2, j: survey 3).

chlorinated PCBs congeners. The mass distribution pattern is similar among sample location in the north and in the south. The mass distributions of PCBs congeners in subsurface water and SML samples for sample locations no. 1 and 3 are given in Fig. 5. The mass distributions in rainwater samples were characterized by tri- and tetrachlorobiphenyls, which have a relative high vapor pressure relative to the higher chlorinated biphenyls. For tri-, tetra-, penta-, hexa-, hepta- and octa-chlorobiphenyls the average Kow (Makino, 1998) and the corresponding average EF value show a good linear correlation for the representative northern sample location no. 1 and the southern sample location no. 3 (Fig. 6). The lower correlation at sample location no. 3 may be a result of rougher sea conditions and a less pronounced formation of the SML and/or bubble formation at the air–sea interface. 3.6. Mechanisms of enrichment of OCs in the SML The chemical composition of the SML is not well understood, but it can be concluded from the literature that the SML is typically enriched with naturally occurring organic compounds, particular proteins and organic surfactants (Hunter, 1997). Lipids may also represent a small fraction of the organic matter present in the SML (Garabetian et al., 1993). Proteins, lipids and organic surfactants form a hydrophobic film, which is the major force for the enrichment of hydrophobic compounds in the SML, including OCs. The hydrophobic character of the SML may vary considerably depending

on the level of biological activity within the SML between geographical locations. For example, microlayer samples collected within mangrove ecosystems in Singapore nearby location no. 6 were enriched with OCs with a mean EF ranging between 2.1 and 17 (Bayen et al., in press), whereas the mean EF from the offshore location (no. 7) in this study were not higher than 1.6. Hunter (1980) suggested that organic particulates with surfaceactive compounds adsorbed onto their surface are stabilised at the air–sea interface and serve to capture OCs within the SML. It has also been demonstrated by Wurl and Obbard (submitted for publication) that the SML plays an important role in the fate of DDTs and PCBs associated with particulates. The SML receives organic matter from both benthic sediments and the underlying water column by upwelling, convection, diffusion and bubble formation. The accumulation of microbubbles at the air–sea interface is known to be a significant transport vector of organic matter to the sea-surface, particularly for the removal of small particles from the water column (Hardy, 1982). The increasing enrichment of OCs after heavy rainfall events noted in this study provides supporting evidence that the SML receives a significant amount of organic contaminants via atmospheric wet deposition. Volatilization and adsorption of POPs through the SML in the gas phase is considered to be important for their global distribution, but so far has largely been overlooked (Wania et al., 1998). Iwata et al. (1993) reported positive fluxes (volatilization) for DDTs and PCBs in the region of Southeast Asia, but negative fluxes (adsorption) for

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taminants to the SML. However, more experimental data are needed to yield a more profound understanding of the role of the SML in determining the fate and transport of organic contaminants across the SML interface. Acknowledgements The authors gratefully acknowledge the financial support of this research project by the National University of Singapore and The Tropical Marine Science Institute. Authors are thankful to the crew of Hammerhead for their cooperation during sampling cruises. References

Fig. 6. Correlation between average Kow value of tri- (j), tetra- (d), penta- (m), hexa- (h), hepta- (s) and octa-chlorobiphenyls (n) and corresponding average enrichment factors (EF) at sample locations no. 1 (a) and 3 (b).

HCHs. It can be concluded that the SML acts as a source of DDTs and PCBs from the atmosphere of this region, but as a sink for atmospheric HCH isomers.

4. Conclusions This study has provided first reported data on the levels of organic pollutants the sea-surface microlayer (SML) for coastal marine waters in Asia. HCH isomers, DDTs and PCB congeners are the most abundant POPs occurring in SingaporeÕs coastal waters. These compounds are enriched in the SML, but enrichment is lower compared than that reported for temperate climate zones. Semi-volatile POPs may evaporate more rapidly from the SML due to higher water surface temperatures in tropical P regions. P Measured seasonal P changes in the levels of HCH, DDT and PCBs were found to be significant. During the northeast monsoon period, the concentration levels of POPs in the SML were higher by factors of up to 50. Wet deposition is therefore likely to be one of the major sources of con-

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