Stage 2 Research Program 2003 - 2005 Technical Report No. 17 March 2006 The loads of particulate matter and atmospheric nitrogen deposited from wet and dryfall to Adelaide metropolitan coastal waters. The loads of particulate matter and atmospheric nitrogen deposited from wet and dryfall to Adelaide metropolitan coastal waters Author Jeremy Wilkinson, Erick Bestland, Lynn Smythe, Nicholas White. Department of Environmental Health Flinders University of SA GPO Box 2100 Adelaide SA 5001 Copyright © 2005 South Australian Environment Protection Authority This document may be reproduced in whole or in part for the purpose of study or training, subject to the inclusion of an acknowledgement of the source and to its not being used for commercial purposes or sale. Reproduction for purposes other than those given above requires the prior written permission of the Environment Protection Authority. Disclaimer This report has been prepared by consultants for the Environment Protection Authority (EPA) and the views expressed do not necessarily reflect those of the EPA. The EPA cannot guarantee the accuracy of the report, and does not accept liability for any loss or damage incurred as a result of relying on its accuracy. ISBN 1 876562 98 6 March 2006 Reference This report can be cited as: Wilkinson, J., Bestland, E., Smyth, L., and White, N., (2006). “The loads of particulate matter and atmospheric nitrogen deposited from wet and dryfall to Adelaide metropolitan coastal waters.” ACWS Technical Report No. 17 prepared for the Adelaide Coastal Waters Study Steering Committee, March 2006. Flinders University of South Australia Acknowledgement This report is a product of the Adelaide Coastal Waters Study. In preparing this report, the authors acknowledge the financial and other support provided by the ACWS Steering Committee including the South Australian Environment Protection Authority, SA Water Corporation, the Torrens Patawalonga and Onkaparinga Catchment Water Management Boards, Department for Transport Energy and Infrastructure, Mobil Refining Australia Pty Ltd, TRUenergy, Coast Protection Board and PIRSA. Non-funding ACWS Steering Committee members include the Conservation Council of SA, SA Fishing Industry Council Inc, Local Government Association, Department of Water Land and Biodiversity Conservation and Planning SA. Acknowledgements The authors would like to acknowledge the following individuals for their assistance with data or other invaluable material or knowledge: Peter Christy of EPA and Peter Clemmett of BOM. Adelaide Coastal Waters Study Technical Report No. 17 iv Contents Executive Summary .................................................................................................... vi 1. 2. 3. Introduction.......................................................................................................1 Background ......................................................................................................2 Methodology.....................................................................................................2 4. 4.1 Results .............................................................................................................4 Wetfall and Dryfall Nitrogen Load.............................................................4 4.2 Wetfall, Washout and Individual Rainfall Events ......................................5 4.3 Dryfall Particulate Matter ..........................................................................9 4.4 High-volume Sampler Particulate TKN...................................................11 4.5 High-volume Sampling Particulate Composition ....................................11 5. Conclusions....................................................................................................23 6. References .....................................................................................................24 Appendix I: The Wetfall Collector Located at BOM, Adelaide Airport ........................26 Appendix II: Analysis flow diagram for high volume air sample filter papers. ............27 Appendix III: Concentrations of TKN nitrogen collected on high volume air sampler filters per cubic metre of air sampled and per gram of particulate matter collected . ................................................................................................................28 Appendix IV: Comparison of mass of element in digest of blank and exposed filters.... ................................................................................................................29 Appendix V: Mass of element in digest of exposed filters..........................................30 Appendix VI: Mean concentrations of elements analysed for in high volume air samples. ...............................................................................................................33 Appendix VII: Multiple scatter plots of minor and trace elements in Adelaide high volume air samples. .............................................................................................34 Appendix VIII: Dry deposition of nitrogen species to the central and northern Adelaide Metropolitan Area and 2km buffer strip for estimating N load (prepared by M. Hartley, South Australian EPA). ...........................................................................36 Adelaide Coastal Waters Study Technical Report No. 17 v Executive Summary The contribution of dryfall and wetfall to inputs of nitrogen into metropolitan Adelaide Coastal Waters is a minor component of the overall load as is illustrated in Figure 1. Rainfall contributes over 50 % of the water entering a 5 km wide near-shore strip along the Adelaide Coast. Although significant in volume, the very low concentrations of nitrogen and other pertinent constituents in rainwater when compared to the high concentrations in waste water from treatment plants (WWTP) and storm flows, makes the wetfall source relatively insignificant. This wetfall input deposits around 30 tonnes N per year of the total nitrogen load, or less than 1% of the annual load from the combined WWTP, stormwater and groundwater sources. Similarly dryfall contributes less than 1% of total nitrogen. Dryfall or dust deposition does contribute a significant component of the solids input to the coastal strip with approximately 18% of the annual load, approaching 2000 tonnes. Flow 391 GL 2.0, 1% 62.0, 16% 114.2, 29% 213.0, 54% WWTP Wetfall Stormwater Penrice Dry Fall Groundwater TN 2453 Tonnes WWTP Wetfall 1204.2, 49% 15.3, 1% Stormwater Penrice NOxN 486 Tonnes 6849, 67% Particulates 10337 Tonnes WWTP Stormwater Dry Fall Groundwater 766.8, 40% 1000.0, 52% 150.7, 6% 16.8, 1% WWTP Stormwater 20, 6% 1.9, 1% Dry Fall Wetfall Cu 4.5 Tonnes 0.23, 5% WWTP WWTP Stormwater Dry Fall Wetfall Penrice Pb 3.0 Tonnes 0.21, 7% 2.96, 66% Stormwater Penrice 335, 92% 1.34, 44% 1.31, 29% Wetfall 4.9, 1% 437.5, 90% Stormwater 114.2, 6% 15.3, 1% Dry Fall TP 361 Tonnes 12.7, 3% 36.0, 7% WWTP Dry Fall TKN 1913 Tonnes 50.0, 2% 1000.0, 41% 32.8, 1% 1579, 15% 1852, 18% Dry Fall 1.47, 49% WWTP Stormwater Dry Fall Figure 1. Summary diagram showing the contribution of wetfall and dryfall to ACWS area loads. Since particulates have elevated lead and copper, they have also contributed a significant component of the total copper (5%) and lead (44%). With gradual replacement of leaded petrol with unleaded petrol since the late 1980s, the concentration of lead in air has declined dramatically. This has also reduced the Adelaide Coastal Waters Study Technical Report No. 17 vi indirect inputs of lead to the near-shore zone because stormwater now carries significantly less lead (-65%). In the early 1990s the lead load to the immediate coastal zone was around 2 tonne/y, and is now near 400 kg/y. Adelaide Coastal Waters Study Technical Report No. 17 vii 1. Introduction The direct input to the Adelaide coastal water zone of dissolved and solid material from atmospheric sources (wetfall and dryfall) has been a largely unknown quantity with the exception of nitrogen and phosphorus deposition estimates from rainwater for the Adelaide area (Clark, 1987). What has not been addressed is the dryfall load which could be significant given the severity of wind and dust conditions in the Adelaide area. Specifically, strong northerly winds with visible dust loads occur several times a year, especially during late spring and early summer. These dust-laden winds are commonly followed directly by cool fronts that can produce rainfall. One question addressed by this project is how background rates of wetfall and dryfall compare to these large northerly dryfall events just described, and, what component of the dissolved and solid input to the coastal zone is contributed by atmospheric sources (Refer stakeholder issue # 3.2.1.2). The significance of wind-blown dust in the marine realm has been noted for some time (Darwin, 1846). However, both the quantification of its input and the realisation of its impact have only recently been appreciated (Prospero, 1999; Shinn et al., 2000; Castro and Driscoll, 2002). The data collected and analysed in Sub-program 4 provide a first approximation of the quantities and composition of dryfall and wetfall input to the Adelaide coastal zone. A quantitative assessment of pre-European and Pre-Indigenous dust accession levels in the Adelaide area, as has been done elsewhere from sediment cores (Pye, 1987; Busacca et al., 1998), is outside the scope of the Adelaide Coastal Waters Study. Previous workers (Pye, 1987; Shinn et al., 2000) have shown that in some semi-arid to humid regions the wetfall and dryfall deposition of nutrients in particular nitrogen has been shown to be significant compared to other sources. In fact, a previous study in the Adelaide area (Clark, 1987), found significant nitrogen and phosphorus deposition from rainwater (2-6 kgTKN/Ha/yr, 1.2 kgNOx/Ha/yr in the late 1970s) as well as significant deposition of sea salts (Kayaalp, 2001). The question addressed by Sub-program 4 is how do these inputs from wetfall and dryfall total-up in the coastal zone and how do these totals compare to waste water and stormwater inputs. In some urbanised parts of the world, wet deposition to estuaries of oxidised nitrogen species has been shown to be not only substantial, but a major component of the nitrogen load. Wet deposition of NO3- at the rural sites of Chiang Mai and Nan (Bangkok Thailand) ranged from 2.1 to 3.2 kg N/ha/y, while at the urban sites near estuaries this ranged from about 6 kg N/ha/y, in Chiang Mai and Nan Cities to 8.6 kg N/ha/y, in Bangkok. Wet deposition of NH4+ at the rural sites was about 2.4 to 3.6 kg N/ha/y, and at the urban sites of Chiang Mai, Nan and Bangkok this was 7.7, 4.9 and 8.1 kg N/ha/y, respectively (Paramee et al., 2005). Nakamura et al. (2005) found that the atmospheric deposition of nitrogen to the South China Sea was comparable to the riverine input of the Changjiang River. Nitrogen from atmospheric inputs to the estuaries of the Mid-Atlantic Region of the United States of America was an important component of the budget, with deposition rates varying between 2.7 and 10.8 kg N/ha/y (Castro and Driscoll, 2002). In dryer areas it has been found that rates of atmospheric deposition can be very high; in the order of 70 to 150 kg/ha/y (Singer et al., 2003), although nitrogen is a small component of this as the particulates are largely mineral and not rich in organic matter. Singer et al. (2003) found that average NCP (nitrogen, carbon and phosphorus) dry deposition fluxes were equivalent to 12.3, 6.9 and 6.6 kg N/ha/y, and non-nitrate containing particulate dry Adelaide Coastal Waters Study Technical Report No. 17 1 deposition fluxes were 17.0, 12.3 and 10.1 kg N/ha/y, at highway intersections, coastal and suburban areas, respectively. NCPs < 10 µm in size contributed 3.4%, 9.6% and 6.4% by weight to the total dry deposition at the highway intersection, coastal, and suburban areas, respectively, showing that over 90% of dry deposition was particulates larger than 10 µm in diameter (Yang et al., 2004). By comparison, the average total (wet plus dry) nitrogen deposition to the Tampa Bay Estuary was 7.3 (+/- 13) kg N/ha/y, (Poor et al., 2001). For Chicago, Lestari et al. (2003) measured dry deposition fluxes of sulfate and nitrate of between 1.0–4.0 and 0.5–3.9 mg(m2/d), respectively (Lestari et al., 2003). This investigation quantifies loads and estimates overall deposition to the ACWS study area. Wetfall samples were collected and analysed for a variety of dissolved constituents and dry samples derived from high volume air sampling filters were analysed for nitrogen, major, minor, trace and rare earth elements. Point loads were extrapolated to provide estimates of deposition across the ACWS study area using the north to south distribution of urbanized area in the Adelaide airshed. 2. Background The Adelaide airshed and general climatic conditions of the Adelaide area are conducive for significant loads of atmospheric origin to be delivered directly to the coastal zone. The strong Mediterranean climate of the area with its long dry summer combined with strong northerly winds that occur during high to low pressure changes produces significant dust deposition. Several significant dust deposition events occur each year. Major dust sources include organic and other detritus that collects on impervious urban surfaces (roads, parking lots, and roofs), agricultural fields especially to the north of Adelaide in the North Adelaide Plains, and tidal-estuary mudflats. Major gaseous sources of pollution relevant to the coastal zone include motor vehicles, cement plants, and other industrial activity. It is generally thought that burning of fossil fuels is the source of most NOx and SOx (NPI, 2000). 3. Methodology The selection of dust sampling sites was constrained by existing high-volume dust sampling sites maintained by the EPA. The Osborne site was chosen because it is the most proximal high-volume sampler to Gulf St Vincent and is approximately in the middle of the airshed. Only one high-volume sampler was analysed due to time and budget constraints for this sampling. The rainfall collector was deployed at the Adelaide Airport due to the airports central and near coastal location (within 1.5 km of the coast) and adjacent to the Airport Bureau of Meteorology weather monitoring station (photos: Appendix I). In order to estimate urban pollution loads to the coastal strip, the Adelaide airshed was segmented on a north to south axis according to the percentage urbanised land cover which was used to proportion the atmospheric loads. In addition estimates of the dry deposition of nitrogen were provided by the EPA air quality modelling group (Appendix VIII), these were used to compliment the values estimated from the high-volume filter analyses and calculations. In the Adelaide area, the EPA has collected particulate matter from the air column for approximately the past 20 years. Also included in the EPA dataset are particulate matter samples from the Port Pirie area. The samples are from high volume dust samplers which trap dust on glass fibre mats. These samplers record the volume of air that has passed through the sampler so that mass of particulate matter per volume of air can be calculated. Adelaide Coastal Waters Study Technical Report No. 17 2 Particulate matter samples have been continuously collected over this 20 year time frame for various of the sites at a frequency of one day in every six. Each sampling period is for 24 hours. The samples are archived in Adelaide under constant humidity conditions and have at least one half to three fourths of the sample remaining. The samples have been analysed for total suspended particulates (TSP) and lead (pers. comm. Rob Mitchell, EPA scientist, 2002). The ACWS Input Studies Sub-program 4 obtained approval to use one third of these samples to analyse for rates of dryfall for a range of elements. Existing dust sample data were compiled on mass per volume over the years of record and this data was evaluated to arrive at yearly average particulate masses collected as well as to identify dust storm events. Selected samples were acid digested and analysed using ICP AES (inductively coupled plasma atomic emission spectrometry) by CSIRO Energy Technology, Lucas Heights, in order to determine the concentration of major and trace elements (Appendix II). Forty one bulked samples were analysed by ICP-AES. Samples were bulked in three month groupings: Jan.-Feb.-March; April-May-June; July-AugustSeptember; October-November-December. Elements obtained are presented in Appendix III. Quarterly bulked samples were used in order to provide an indication of seasonal variation and variation from year to year as well as having the advantage of diminishing sample to sample variation in load collected on each individual filter. Each bulked composite sample comprised between 10 and 15 sub-samples. In addition to the ambient sampling filters, high dust concentration event filters were selected and analysed. In addition to the ICP-AES analyses, the filters were analysed for total Kjeldahl nitrogen (TKN). Only eight years of actual filters were available, therefore it was not possible to investigate dust composition over as long a period as originally intended. Rainfall samples were collected by an automated sampler that was installed at the Adelaide Airport for the purposes of this study. Samples were analysed for a variety of nutrients including nitrogen species (NO2, NO3, NH3), carbon species (total, inorganic and total organic), and phosphorus species (dissolved, soluble and reactive). The sampler collected rainfall through the wet season of 2004 and several events in early 2005. Samples were analysed in the Environmental Health Laboratory at Flinders University. The overall nitrogen loading by wetfall to the entire coastal zone was calculated by summing each sample volume and its concentration to yield a total average load for all data points at the sampling location. The overall load throughout the coastal zone was estimated by the technique of grouping the coastline into 5 km wide east-west strips extending 10 km off shore. Loads were calculated on the basis of the percent urbanised area in each strip and weighting the loading to each strip accordingly. The Adelaide airshed was defined as an area 115 km by 60 km wide, centred on the urbanised metropolitan area between the Adelaide Hills and the coast. The overall load to the 10 km wide strip from the coastline out into Gulf St Vincent from Gawler River to Sellicks Creek was calculated by summing the load in each strip. A value of 85 µg N/L was used as the un-urbanised background concentration based on the lowest five percentile concentration measured during onshore storms when maximum washout had already occurred. This background concentration results in a load of 1.65 g N/m2/y. Dryfall TKN was estimated using the same approach as for wetfall nitrogen. Literature values of the deposition rate were the basis for the calculations and were between 1.7 and 3.4 kg N/ha/y, to give an upper and lower estimate. Adelaide Coastal Waters Study Technical Report No. 17 3 4. Results 4.1 Wetfall and Dryfall Nitrogen Load Total Wetfall N (Tonnes) The wetfall nitrogen deposition for 2004 to a 10-km-wide strip of the ACWS coastline from the Gawler River to Sellicks Beach was estimated at approximately 33 tonnes. The total load of wetfall nitrogen to the coastal zone based on the measured concentrations and calculated loads totals 32.8 tonnes with a maximum loading of 8.1 kg N/ha/y (wetfall). The loading follows an expected pattern based-on the extent of urbanised area. The maximum urban loading above an assumed ambient loading in the central zone is 6.5 kg N/ha/y. 4.5 4.0 3.5 3.0 2.5 2.0 1.5 1.0 0.5 0.0 Sector 12 = Airport Wetfall Collector Urban Loading Background 1 2 3 4 5 Total N Load for 10 km strip: 32.8 Tonnes 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 Coastal Sector, Gawler to Sellicks Beach Figure 2. Total load of nitrogen from wetfall across 5 km strips along the coastal zone in Adelaide. There was 213 GL of direct rainfall during the 2004/5 hydrological year. Dryfall TKN was estimated at between 800 and 1600 kg/y to the 10 km coastal strip. The EPA has estimated dryfall oxides of nitrogen at 40 tonnes/y to a 2 km strip between the Light River and Marino (M. Hartley, EPA, pers comm., 2005). The EPA estimates used the TAPM air quality model which gives a range of deposition rates ranging from approximately 0.3 kg N/ha/yr in the off-shore zone to 8 kg N/ha/y adjacent to major sources of NOx such as the Pelican Point power plant. The mean deposition rate for the 2 km wide strip was 2.9 kg N/ha/y. For dryfall TKN the mean deposition rate was 0.016 kg N/ha/y, similar to that estimated for Chicago by Lestari et al. (2003). This lower mean is not surprising given that the estimation strip extends 10 km off-shore. The Pelican Point power plant emission was not included in the TKN estimate. As can be seen in the maps in Appendix VIII Pelican Point power plant dominates the deposition of dry NOx in the Barker Inlet area. Elsewhere the deposition rate is significantly lower. In summary, the dry TKN load is approximately 1.6 tonnes into 1050 km2 and the EPA 2 km strip NOx deposition is 40 tonnes into 142 km2. Assuming a deposition rate of approximately 0.5 kg N/ha/y NOx to the remaining 908 km2, an additional 45 tonnes per year NOx would be deposited into the off-shore part of the 10 km strip. This brings the estimated total nitrogen to the coastal zone to approximately 86 tonnes a year. This figure approaches the total input of stormwater nitrogen and is less than a tenth of the load from waste-water treatment plant discharges. The omission of the Pelican Point power plant discharge from the estimate of wetfall nitrogen, undoubtedly results in an underestimation of nitrogen from wetfall and it is possible that there may be in excess of 20 tonnes wetfall NOx annually in the vicinity of the power plant. Adelaide Coastal Waters Study Technical Report No. 17 4 4.2 Wetfall, Washout and Individual Rainfall Events Of the carbon, nitrogen and phosphorus measured in rainfall at Adelaide Airport, carbon was in the highest concentration with total carbon at 2.55 mg/L (Table 1). Organic carbon was the largest subset of the total carbon. The geometric mean of the total nitrogen results was only 0.275 mg/L, and ammonia nitrogen was generally the largest component of the nitrogen (Table 1, Figure 3); 60% by concentration for the whole dataset. Phosphorus was only present at concentrations of a few tens of micrograms per litre. Table 1. Wetfall carbon, nitrogen and phosphorus concentrations from the automatic rainfall sampler sited at Adelaide Airport. The maximum concentration of nitrogen was somewhat greater than 2.5 mg TN/L. In general, ammoniacal nitrogen was a large component of the high TN results, however, there were a number of events that had high TN that were almost entirely oxidised nitrogen. The reason for this is not clear, these events do not correlate with wind direction or other variables. Summarising the wetfall nitrogen data into monthly mean concentrations and total loads demonstrates that, for the 2004-5 rainfall season, oxides of nitrogen are the dominant components of the total nitrogen concentration from March to the end of May (Figure 4). From June onwards into the wet season, the mean monthly total nitrogen concentration is significantly lower and ammonia nitrogen is the dominant form of nitrogen. An obvious interpretation of these results is that, during late summer and Autumn, air pollution sources of nitrogen are dominant. Then, with the wetting of soils and streams, microbial ammonia sources become dominant. Adelaide Coastal Waters Study Technical Report No. 17 5 2500 Total Nitrogen (mg/L) NOx_N, 37.2% 2000 1500 NH3_N, 62.8% High NOx events 1000 500 0 Figure 3. Rainwater samples ranked by total nitrogen concentration showing the proportion of oxidised and reduced nitrogen species. An examination of wind speed and direction associated with the antecedent period for each rainfall event offers no surprises in the interpretation of the monthly mean nitrogen concentration and load (Figure 4). Greater rain totals are associated with stronger westerly winds whereas easterly light winds with less rain are associated with lower nitrogen loads. In 2004, there was a tendency for winds to go from southerly to northerly as the season progressed. Figure 4 gives a false indication that there was no rain between from October to March 2004/5. This was not the case. It was simply that the events that did occur were small and infrequent and hence did not result in sufficient liquid volume to analyse. The use of a bulk rainfall collector in tandem with the automatic rainfall sampler would have been valuable. This would have made analysis for metals feasible, as it was there was rarely sufficient liquid volume to run the analyses. In addition, some measure of total ionic strength such as electrical conductivity would have been informative to identify marine influence in the collected wetfall. A useful outcome of the automatic rainfall collector was that it was possible to investigate washout events following periods of dry weather. These demonstrate the accumulation of nutrients and total carbon in the atmosphere and their subsequent washout during rainfall events. Figures 5 and 6 show two washout events, one from early, and one from the middle of the wet season. White bars on upper graph represent duration over which samples were bulked (Figures 5 and 6). Note the high levels of nitrogen and carbon species in the first parts of the rainfall events (Figure 5). In the June event (Figure 6), the overall levels of nitrogen and carbon species were lower compared to the March event, yet washout of nitrogen and carbon still occurred. The return to elevated concentrations of nutrients and total carbon was relatively rapid (a day or two), and occurred during the wet season and after early wet season storms. An examination of nitrogen concentrations and antecedent dry days demonstrated some confirmation of a build-up washout process (Figure 7). A moderate correlation between antecedent dry time greater than 12 hours and nitrogen concentration was found (Figure 7). This pattern exists for total nitrogen, nitrate and ammonia. Thus, from a minimum of twelve hours, the concentration of nitrogen species increases with increasing antecedent dry time. Adelaide Coastal Waters Study Technical Report No. 17 6 Rainfall Total (mm) 0 50 Rainfall Wind Strength (m/s) 1 Wind Strength 20 0 1 = westerly, 0 = easterly Westerly 1 = northerly, 0 = southerly Northerly 0.5 0 1.5 1 0.5 0 8000 NH3N 6000 NOxN 4000 2000 0 1000 750 NH3N 500 NOxN 250 December November October September August July June May April March February 0 January Nitrogen concentration (ug/L) Nitrogen Load (kg) 40 Wind Tendency Wind Tendency 100 Figure 4. Seasonal variation in total rainfall, mean wind strength and wind direction at Adelaide Airport, nitrogen load for the 10-km coastal strip and, nitrogen concentration at Adelaide Airport. Adelaide Coastal Waters Study Technical Report No. 17 7 Adelaide Coastal Waters Study Technical Report No. 17 16:30:00 9:00:00 2:00:00 18:30:00 11:00:00 4:00:00 20:40:59 15:00:00 9:30:00 4:00:00 20:30:00 13:00:00 5:28:59 23:00:00 15:30:00 8:00:00 1:00:00 PPTT & ug/L 16:30:00 9:00:00 2:00:00 18:30:00 11:00:00 4:00:00 20:40:59 15:00:00 9:30:00 4:00:00 20:30:00 13:00:00 5:28:59 23:00:00 15:30:00 8:00:00 1:00:00 mm 21:00:00 20:30:00 20:00:00 19:46:00 19:30:00 19:16:00 19:00:00 18:30:00 18:00:00 17:30:00 17:00:00 16:46:59 16:30:00 16:19:59 16:00:00 PPTT & ug/L 21:00:00 20:30:00 20:00:00 19:46:00 19:30:00 19:16:00 19:00:00 18:30:00 18:00:00 17:30:00 17:00:00 16:46:59 16:30:00 16:19:59 16:00:00 mm M a r c h 2 8 e v e n t: An t. D r y d a ys 1 9 4.5 4 3.5 3 2.5 2 1.5 1 0.5 0 M arch 28 e v e nt 1400 1200 1000 800 600 400 200 0 TC NO3 IC NH3 TO C Time (hours) Figure 5. Hydrograph and corresponding analyses of precipitation event March 28, 2004. J u n e 1 2 -1 6 E v e n t: A n t. D r y d a y s 0 4 3 .5 3 2 .5 2 1 .5 1 0 .5 0 J u n e 1 2 -1 6 E v e n t 1400 1200 1000 800 600 TC NO3 NH3 400 IC TO C 200 0 Figure 6. Hydrograph and corresponding analyses of precipitation events over June 12-16, 2004. 8 10000 10000 0.7857 y = 62.126x 2 R = 0.0828 1000 Total Nitrogen (ug/L) Total Nitrogen (ug/L) 0.0906 100 y = 12.485x 2 R = 0.762 1000 12 hr < T < 400 hr All Data 100 10 0.0 913 1553 0.1 1.0 10 100.0 1000.0 10000. 0 Time between events (hours) 144 10.0 1000 10000 10000 0.7694 y = 8.4793x 2 R = 0.6835 1.1569 y = 0.6897x 2 R = 0.7067 1000 NH3_N (ug/L) NO3_N (ug/L) 100 Time between events (hours) 100 1000 100 70 < [NH3_N] 12 hr < T < 400 hr 12 hr < T < 400 hr 10 10 10 100 1000 Time between events (hours) 10 100 1000 Time between events (hours) Figure 7. Correlation plots for antecedent dry days between rainfall events and nitrogen species. 4.3 Dryfall Particulate Matter Total suspended particulates and PM10 (particulate matter that passes through a 10 µm filter) collected by the high volume air sampler at Osborne were found to be highly variable (Figure 8). Overall seasonal variation and day-to-day variation in dust concentration is apparent from both Figure 8 and 9. Over the eight years and 350 days of high volume data available for the Osborne station, the low reading was 3.6 µg/m3, high reading was 263 µg/m3, with an average of 57 µg/m3 (standard deviation of 49 µg/m3). Thus, the high dust days had only 2-5 times the average dust concentration, less than anticipated. In fact, low dust days (< 10 µg/m3) are five times lower than the average. These data support the overall view of the Adelaide area being a moderately to strongly, windy and dusty place. The dust concentration data when analysed with the rainfall data illustrate the well-known process of washout of dust and aerosols by rainfall. In addition, the dust concentration data and rain wash-out data show that in the Adelaide metropolitan area, dust levels require only a few days of dry weather to get back to average and even above average levels. Adelaide Coastal Waters Study Technical Report No. 17 9 Osborne/2000 160.0 140.0 120.0 ug/M3 100.0 TSP 80.0 TSP-PM10 60.0 40.0 20.0 09/09/2000 26/08/2000 12/08/2000 29/07/2000 15/07/2000 01/07/2000 17/06/2000 03/06/2000 20/05/2000 06/05/2000 22/04/2000 08/04/2000 25/03/2000 11/03/2000 26/02/2000 12/02/2000 29/01/2000 15/01/2000 01/01/2000 0.0 Figure 8. An example of a dust year for the station at Osborne (near Port Adelaide). As expected, the PM10 concentrations are much less than the TSP, although at some low concentrations the two measurements approach similar values. TSP-95-avg/month 140.0 120.0 100.0 TSP-95-avg/month TSP-96-avg/m TSP-97 80.0 ug/M3 TSP-98 TSP-99 TSP-00 60.0 TSP-01 TSP-02 TSP-03 40.0 20.0 0.0 Jan-95 Feb-95 Mar-95 Apr-95 May-95 Jun-95 Jul-95 Aug-95 Sep-95 Oct-95 Nov-95 Dec-95 Figure 9. Plot of monthly averaged high-volume filter data over the years from 1995-2003. Data illustrate the rough seasonal pattern of lower TSP during wet winter months and higher TSP during drier months. The annual load of atmospheric particulate matter deposited into the 10 km coastal strip was estimated at between 1,800 and 3,860 tonnes. This assumed a peak deposition rate of between 215 kg/ha/y and 450 kg/ha/y. The deposition rates assumed mean settling velocity of between 0.012 and 0.025 m/s and mean TSP of 57 µg/m3. The mean deposition rate over the entire 10 km coastal strip was 36 kg/ha/y. Adelaide Coastal Waters Study Technical Report No. 17 10 4.4 High-volume Sampler Particulate TKN The high-volume sampler filters were analysed for a wide range of elements by ICP-AES, in addition analysis for TKN nitrogen was undertaken. Appendix III provides the analytical results and the calculated concentrations of TKN in ambient air and total particulates collected on the Osborne sampler filters. The TKN values were estimated for three, 4-month periods covering each year of the approximately 8-year period of record. Table 2 summarises the mean, maximum and minimum TKN concentrations in the analytical digest solution, air passed through the filters and on the particulates collected by the filters. As discussed in Section 4.5 below, the variability of the blank unexposed filters over time is not known. There were two results of greater than 0.05 µg/m3 in the period from late 2001 to 2004, these include around 20 filters each and span a four month period. The surrounding results are around the mean concentration, it seems possible that these results may represent early summer and late summer dust storms in 2001 and 2003. Table 2. Basic descriptive statistics for TKN concentration of digested filters, ambient air and particulates collected on the filters. n Mean Min Max 4.5 TKN analysis result (blank corrected) Average TKN in air Average TKN on mg/L ug/m3 particulates mg/g 22 22 22 0.196 0.025 0.446 0.100 0.011 0.238 0.350 0.057 1.383 High-volume Sampling Particulate Composition An examination of the content of a wide range of major and trace elements in particulates collected by the high volume air sampler at Osborne indicates a number of major changes in composition. These are: • Increased sulfur content; • reduced lead; • reduced trace element concentrations, and; • three grouped periods of self consistent composition. Interpretation of the high-volume filter analytical results was severely hampered by the lack of representative blank filters for analysis. The filters were sourced from different suppliers during the period of use of the samplers. The change in suppliers meant that the elemental composition of the filters changed with each new supply of filters. The composition of the filters was not of significance for the original EPA study which was intended to examine PM10 particulates and total suspended particulates (TSP) and lead concentration. It was not anticipated that the filters would be of such variable quality and contain high concentrations of a wide range of elements. Adelaide Coastal Waters Study Technical Report No. 17 11 Na Ca 100.000 1.000 0.100 0.001 Blank Mean exposed filters 90 Zr 0.010 95 Mo 78 Se 163 Dy 118 Sn 238 U 45 Sc 59 Co 157 Gd 172 Yb 111 Cd 166 Er 147 Sm 153 Eu 141 Pr 133 Cs 107 Ag 159 Tb 121 Sb 209 Bi 169 Tm 175 Lu 182 W 195 Pt 232 Th 205 Tl 105 Pd 9 Be 93 Nb 202 Hg Cr 10.000 Pb 208 Pb 47 Ti 63 Cu 85 Rb Mn 60 Ni 7 Li 127 I 140 Ce 51 V 139 La 146 Nd 75 As 1000.000 69 Ga P 88 Sr Concentration in digested filter (mg/g) 10000.000 Mg B K Al S 137 Ba Zn Fe 100000.000 0.000 Figure 10. Comparison of elemental concentrations in blank and exposed filters. The implications of the changes in filter composition did not become fully apparent until after the laboratory analyses were completed. The consequence of the changing filter composition is that three distinct compositional groups are apparent in the analytical results for the digested exposed filters. Since the composition of the blank filters used to correct the results was not specifically chosen to match the batch of exposed filters for each subsample and hence bulked filter digest, it is almost impossible to separate the filter composition offset of the results from the true composition of the particulate matter collected. Figure 10 charts the concentration of each element analysed in the blank and the mean of the exposed filters, the results are expressed as the proportion of the digested filter mass. Appendix IV presents all of the raw data for each element with the blank value. Even if it had it been known that the filter composition would vary so greatly, there was insufficient unexposed filter material available to provide representative individual blanks for each filter sub-sample, and if there had been, the need to run tandem blanks for each bulked digest of sub-samples would have halved the number of results analysed because of the available analysis budget. Since the data were exhaustively investigated in order to assess whether some useful or informative outcome could be attained, the observations made are presented below. In Appendix V the elements that are auto-correlated are plotted on the same axis to demonstrating which elements co-vary and their relative abundance. Should additional funding and sufficient contemporary blank filter material be sourced it is possible that appropriate blank assays might be carried-out to allow the current results to be corrected and the true patterns of abundance and variability of the elemental composition of the collected high volume air sampler particulates be revealed. The elements Na, Ca, Mg, B, K, Al, Cu, Cr, Rb, Li, As, Se, Be, Ba, Zn, Ga and Eu appear to have been most strongly influenced by the changes in filter composition. For this reason these elements are not discussed below. In addition, various other variables were eliminated from the analysis on the basis of the elevated blank concentration. These were Pt, Pd, W and Zr. The loss of platinum from the analysis was unfortunate because Pt is an important component of roadside dust (Batley, pers. comm.) A range of the other elements were clearly influenced by the filter compositional variation (Figure 11), and others show no apparent variation with the filters (TSP, Fe, Mn, Sr, Ti, Bi) (Figure 12). Adelaide Coastal Waters Study Technical Report No. 17 12 Mass on one filter (ug) 10000.0 137 Ba Data Point 1 = Blank Zn 1000.0 69 Ga 153 Eu 100.0 10.0 1.0 0.1 0.0 1 2 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 Figure 11. Variation in concentration of four variables clearly influenced by the major variations in filter composition, in this case the result for the exposed filter was less than the blank. The results presented below summarise the investigation of the elements whose concentration was significantly higher than the blank and that were less affected by the changes in composition of the unexposed filters. Appendix VI summarises the mean concentrations in air and particulates for these elements. Figure 13 demonstrates the inter-elemental relationships between the particulates on high volume air sampler filter papers by presenting multiple X-Y scatter plots of the data. The plots demonstrate certain correlations in the elements present. The strongest relationships are between the lanthanide elements, atomic numbers 57 to 70. These elements form two closely correlated groups: • Lanthanum, cerium, praseodymium, neodymium, promethium and samarium; and • Terbium, dysprosium, erbium, thulium, ytterbium and lutetium. 1000000 Mass (TSP) Mass on one filter (ug) 100000 Fe 10000 1000 Mn 100 88 Sr 10 47 Ti 1 0.1 209 Bi 0.01 1. 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 Figure 12. Elements that co-vary with total suspended particulates and show no long term trend (data point 1 is the blank). Adelaide Coastal Waters Study Technical Report No. 17 13 Figure 13. Inter-elemental composition of constituents of particulates collected by the highvolume air sampler at Osborne, Metropolitan Adelaide. “Dust” represents the concentration of particulates in µg/m3 of air sampled. The elements in these groups correlate very closely (r2 > 0.92) and the two groups have been represented by dysprosium and neodymium which cross-correlate most strongly within their respective groups (see Appendix VII). While discussing the lanthanides, it is worth noting that previous studies have used the ratios of lanthanides, lanthanum and cerium in atmospheric samples (e.g. Kitto et al., 1992; Wilkinson et al., 1997) as a tracer. Ratios of La:Ce ≈ 1 are indicative of a petrochemical catalytic cracking agents used in the refining of oil products. In the current study the ratio of La:Ce in solids collected on the high volume air samplers varied from 0.41 to 0.56 (mean 0.457), this is consistent with a crustal source (Table 3, Figure 14). Adelaide Coastal Waters Study Technical Report No. 17 14 Table 3. Sources and ratios of Lanthanum and Cerium Source Ratio La:Ce Reference Particulates on high volume air filters: Adelaide Earths crust Marine shale Bermuda aerosol Soil and road dust (Japan) Mineral monazite Coal-fired power station (US) 0.457 (0.41 – 0.56) Current study 0.50 ± 0.04 0.49 (0.39 – 0.52) 0.454 0.45 (0.25 – 0.68) 0.51 0.51 ± 0.04 Olmez and Gordon (1985) Sholkovitz (1990) Sholkovitz (1990) Mizohata (1986) Mizohata (1986) Mizohata (1986) 18 Lanthanum (ug/g) 16 14 12 10 8 y = 0.4555x 6 R2 = 0.9252 4 2 5 15 25 35 Cerium (ug/g) Figure 14. Correlation of lanthanum and cerium in particulates collected on high volume air sampler filters at Osborne between 1995 and 2004. The apparent variation in trace element content of the particulates was used to partition the data and highlighted both the three compositional blocks of time during which the elemental composition remained consistent and the dramatic change between blocks (associated with the change in the blank filter composition). The use of a multiple-scatter was highly effective in demonstrating the major variations in elemental composition. An initial interpretation of the data was that the differing compositional relationships were a consequence of air masses of differing sources, however, an examination of the data tables indicated sharp transitions in discrete blocks. This demonstrates the value of multiple visualisation techniques in investigating large datasets relating to environmental variables (also used by Wilkinson et al., 1997; 2005). Adelaide Coastal Waters Study Technical Report No. 17 15 50 .12 20 Particulate matter g/m3 Iron mg/g Sulphur mg/g 18 9 .10 40 16 .08 30 14 .06 12 20 .04 N= 2.5 9 11 12 1 2 3 FE 8 0.00 0 S DUST_AIR 10 10 .02 N= 3.5 EPOCH2 Phosphorus mg/g 9 11 11 1 2 3 EPOCH2 N= 20 Lead mg/g 3.0 9 11 12 1 2 3 EPOC H2 EPOCH2 Lanthanum ug/g 18 2.0 16 2.5 14 2.0 1.5 6 12 1.5 10 1.0 1.0 6 .5 6 9 11 12 1 2 3 4 LA P N= PB 0.0 31 0.0 -.5 N= EPOCH2 9 11 12 1 2 3 2 N= EPOCH2 5 Dysprosium ug/g 4 8 .5 .7 Samarium ug/g 5 9 11 12 1 2 3 EPOC H2 EPOCH2 Mercury ug/g .6 4 4 .5 3 3 .4 34 2 .3 2 34 4 1 34 .2 4 1 N= 6 .1 9 11 12 1 2 3 HG 39 SM DY 0 -1 0 N= EPOCH2 9 11 12 1 2 3 0.0 N= 10 EPOCH2 3.5 Thorium mg/g 9 11 12 1 2 3 EPOCH2 Caesium mg/g 5 Uranium mg/g 3.0 1 10 8 4 2.5 20 6 21 3 2.0 2 34 2 1.5 4 4 15 1 1.0 2 .5 -1 N= EPOCH2 9 11 12 1 2 3 30 28 0 U CS TH 0 N= 9 11 12 1 2 3 EPOCH2 0.0 N= 9 11 12 1 2 3 EPOCH2 Figure 15. Box and whisker plots demonstrating changes in the elemental content of particulates collected from ambient air by the high-volume sampler sited at Osborne, Metropolitan Adelaide. The three periods between which significant compositional variations were found are: (i) January 1995 to end August 1997; (ii) September 1997 to end May 2000; and (iii) September 2000 to end august 2004. During periods (i) and (ii) the concentration of lead is still elevated, in period iii the lead concentration is low as are many of the other trace element concentrations. It is not clear Adelaide Coastal Waters Study Technical Report No. 17 16 whether this reduction in purely associated with the changing filter composition of the reduction in lead. The later period (iii) samples in Figure 13 have blue coloured markers. Period (i) data points have red markers and period ii data and marked green. As can be seen, the period (i) and period (ii) data are quite distinct in their trace element composition. Figure 15 represents the same three blocks of samples with box and whisker plots for data on a various elements. In Figure 13 the plot of neodymium (ND) and dysprosium (DY) demonstrates that the two groups of lanthanides were present in different ratios. This difference was what highlighted the block composition of particulates. In period i the lighter lanthanides (atomic numbers 41 to 62) represented by ND were present in higher proportion than the heavier ones (atomic numbers 65 to 71) represented by DY. In period (ii) the opposite was the case. In period iii, the lanthanides and many of the other trace elements as well as minor elements were significantly reduced. 0.70 Jan'95 to Sept'97 Lutetium (ug/g) 0.60 Sept'97 to Jun'00 0.50 Jun'00 to Sept'04 0.40 0.30 0.20 0.10 Recent low Lead samples 0.00 0 1000 2000 3000 4000 Lead (ug/g) Figure 16. Relationship between lead and the trace element lutetium in particulates collected by the high volume air sampler at Osborne. The box and whisker plots of Figure 15 indicate this very clearly. Although many of the trace elements undergo major reductions in concentration from periods (i )and (ii) to period (iii), the actual particulate concentration per cubic metre of air sampled did not fall. The fact that the dust concentration in the air did not fall but the reduction in trace element concentrations coincided with the elimination of lead could mean that the removal of lead in petrol has also reduced many other elements that were associated with lead. In addition to the differing lanthanide composition of periods (i) and (ii), Figure 15 demonstrates that the changes in the thorium and uranium concentrations coincide with the variation in the lanthanides. Uranium was elevated in period ii along with the DY heavier lanthanides. Conversely, thorium was elevated in period (i) and significantly lower in period (ii) and (iii). Adelaide Coastal Waters Study Technical Report No. 17 17 160 TSP in Air (ug/m3) 140 120 100 Osborne Port Adelaide Thebarton 80 60 40 20 3/ 12 /0 125 1/ /2 6/ /0 02 2 2 4/ 6/ 12 8/ /0 02 226 2/ /2 6/ /0 03 3 -3 5/ 1/ 12 8/ /0 03 327 2/ /2 6/ /0 04 4 -3 1/ 8/ 04 3/ 1/ 95 -2 6/ 2/ 2/ 6/ 95 95 31 5/ /8 12 /9 /9 5 627 2/ /2 6/ /9 96 6 -3 5/ 1/ 12 8/ /9 96 627 3/ /2 6/ /9 97 7 -2 6/ 6/ 12 8/ /9 97 728 4/ /2 6/ /9 98 8 2 1/ 7/ 12 8/ /9 98 823 5/ /2 6/ /9 99 9 -2 2/ 8/ 12 8 /9 /9 9 924 /2 /0 0 0 800 Lead in Air (ng/m3) 700 600 500 Osborne Port Adelaide Thebarton 400 300 200 100 3/ 12 /0 125 1/ /2 6/ /0 02 2 26 4/ /8 12 /0 /0 2 226 2/ / 2 6/ / 0 03 3 -3 5/ 1/ 12 8/ /0 03 327 2/ /2 6/ / 04 04 -3 1/ 8/ 04 3/ 1/ 95 -2 6/ 2/ 2/ 6/ 95 95 -3 5/ 1 /8 12 /9 /9 5 627 2/ / 2/ 6/ 96 96 -3 5/ 1/ 12 8 /9 /9 6 627 3/ /2 6/ / 9 97 7 -2 6/ 6/ 12 8/ /9 97 728 4/ /2 6/ / 98 98 -2 1/ 7/ 12 8 /9 /9 8 823 5/ /2 6/ / 9 99 9 -2 2/ 8/ 12 8/ /9 99 924 /2 /0 0 0 Figure 17. Quarterly TSP and lead in air sampled at Osborne, Port Adelaide and Thebarton. Figure 17 demonstrates the dramatic reduction in lead concentration in ambient air at Osborne, Port Adelaide and Thebarton. Thebarton is in an area of far greater traffic movement and hence had a much higher initial lead concentration. By 2002, the concentration of lead in air at Thebarton was approximately the same as that at Osborne. Figure 16 further demonstrates the periods of differing composition, and highlights that recent low lead results were also low in trace elements (the blue points in Figure 13 above). Again, to reiterate from above, this may be significant if it demonstrates that the trace elements were associated with lead. It is certainly nothing new to report reduced lead in air. This has been known for some time and the elimination of lead in petrol was prompted by health studies of the impact of lead on the development of children. Figure 18 shows the gradual change-over in sales of leaded petrol to un-leaded petrol in Australia from 1986 to 2004. For the period over which high volume filters were analysed, 1995 to 2004, the reduction in lead concentration is clear (Figure 19). The reduction in the lead concentration in particulates in ambient air at Osborne indicated by the data analysed for this report is greater than 82%. The reduction in the concentrations of a suite of minor and trace elements (Figure 19), these include antimony, tin, silver, mercury and various others may be associated with the decline in the use of lead. Adelaide Coastal Waters Study Technical Report No. 17 18 Australian Petrol Usage (kBl) 20000 18000 16000 Leaded (-92%) Unleaded (+88%) 14000 12000 10000 8000 6000 4000 2000 0 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 Figure 18. The reduction in sales of leaded petrol in Australia from 1987 to 2002 (data from Australian Institute of Petroleum). If there has been a genuine reduction in the concentrations of these other contaminants at the same time as the removal of lead this must be beneficial since these elements would not have been present in such high concentrations prior to European settlement. The surprising corollary of the reduction of lead in petrol is that the concentration of lead in stormwater has also declined significantly (see Wilkinson et al., 2005). The percentage change in the central metropolitan creeks range from a 65 to 83% reduction in median lead concentrations from the peak annual median for each site, for the available record. Figure 19 demonstrates the relative abundance of the measured analytes in filtered particulates from the Osborne high-volume sampler. The data are presented on a log10 yaxis, this makes it possible to see the concentrations of the trace elements and allows a comparison of the relative increase or reduction in concentration. Sulfur, TKN and iron are three of the larger constituents of particulates that were analysed for. Lead and phosphorus were two of the other constituents in larger proportion until recent times (Table 4). Of the constituents that appear to have reduced at the same time as lead, there is P, Sn, Sb and Hg. Silver had also reduced in concentration, however, as indicated in Appendix V there appear to have been a number of extreme silver events that resulted in the elevated means in periods i and ii. Certain of the elements/constituents appear to have increased in concentration, for example S, TKN, Cu, Ni, As, Se and Be. The reason for this is not clear and while many of these elements are in concentrations greater than the blanks analysed, in the absence of representative blanks, it is still unclear whether the increases are genuine or simply due to the filter composition variations. Sulfur presents an interesting case. Sulfur is greater in the later air samples. Is this due to a deterioration in fuel quality as a consequence of elevated sulfur in petroleum products, or is it simply representative of a decay mechanism whereby sulfur on the stored high volume papers has been sequestered away? Adelaide Coastal Waters Study Technical Report No. 17 19 100000.000 S, 90.1%, 29091 Period i (Jan'95 to end Aug'97) Period ii (Sept'97 to end Aug'00) Fe, -22.7%, 11557 TKN, 48.3%, 556 P, -65.6%, 467 Mn, -7.3%, 305 Sr, 18.1%, 255 Ti, 56.6%, 244 Pb, -85.4%, 222 Cu, 84.7%, 140 I, 148.7%, 45.7 V, 46.6%, 42.8 Ni, 219.0%, 37.8 As, 203.2%, 17.8 Ce, -44.7%, 15.8 Co, 76.6%, 10.47 Nd, -45.2%, 8.09 La, -49.4%, 7.13 Se, 568.5%, 6.02 Mo, -33.1%, 4.83 Cd, -27.3%, 3.07 Pr, -44.1%, 2.21 Sm, -51.3%, 1.56 Be, 123.8%, 1.410 Gd, -56.8%, 1.34 Cs, -59.5%, 1.34 Bi, -13.0%, 1.037 U, -50.6%, 0.861 Th, -78.6%, 0.839 Ag, -81.7%, 0.808 Dy, -75.8%, 0.790 Sn, -87.4%, 0.727 Tl, -42.7%, 0.675 Er, -84.9%, 0.445 Sb, -64.9%, 0.407 Yb, -92.1%, 0.216 Tb, -68.2%, 0.156 Nb, -66.9%, 0.141 Hg, -62.5%, 0.128 Lu, -87.6%, 0.049 Tm, -90.7%, 0.042 10000.000 Lead Period iii (Sept'00 to end Aug'04) Mean Concentration (ug/g) 1000.000 100.000 10.000 1.000 0.100 0.010 0.001 Figure 19. Relative abundance of analytes in high-volume air sampling particulates, showing the mean concentration of period iii and maximum percentage change between the grouped periods; period (i) (January 1995 to end August 1997), period (ii) (September 1997 to May 2000) and, period (iii) (September 2000 to end August 2004). Figure 20 demonstrates the seasonal variation in TSP and lead. The particulate concentration is lowest during the winter months (June to the end of August). The lead concentration on the particulates was highest during the winter. This was probably due to there being less particulate matter to adsorb to, but the same degree of motoring activity and hence the same amount of lead available in the air. There was also more lead per cubic metre of air sampled during the winter. This may have been related to the lack of particulates which would have reduced the scavenging of lead from the atmosphere and subsequent settling-out. Put another way, the exhaust fume and associated lead would hang in the air for longer. This effect is likely to have been exacerbated by inversion conditions trapping exhaust fume rich air in a shallow layer of a few tens of metres above the ground. Clearly these data present some interesting puzzles that might be worthy of further investigation, however, for the purposes of the current study these matters remain supplementary to the project objective and any further investigation might be done within a student dissertation if funding to analyse representative blanks is available. Adelaide Coastal Waters Study Technical Report No. 17 20 Table 4. The concentration of each element whose exposed filter analytical results were significantly greater than the blank for three periods associated with changes in filter composition and reduced lead. Valid N Mean (ug/g) Valid N Mean (ug/g) Valid N % change Period iii Mean (ug/g) S Fe TKN Pb P Mn Sr Ti Cu V Ce I Nd La Ni Mo Co As Sn Ag Th Pr Cd Cs Sm Gd Dy Er Tl U Sb Bi Yb Se Be Nb Hg Tb Tm Lu Period ii Valid N Particulates (mg/m3) Total Particulates (g) Period i Mean (ug/g) All values 0.0572 N=32 0.0529 N=9 0.0624 N=11 0.0557 N=12 18.0 1.593 21333 12839 523 778 808 313 237 244 119 38.9 23.7 38.9 12.12 10.80 26.0 5.33 7.67 14.7 2.179 1.87 1.904 3.29 3.00 2.08 2.49 2.23 1.901 1.580 0.840 1.253 0.678 1.020 1.306 4.05 1.139 0.284 0.206 0.309 0.222 0.197 N=32 N=31 N=32 N=22 N=32 N=32 N=32 N=32 N=32 N=32 N=32 N=32 N=32 N=32 N=32 N=32 N=32 N=32 N=32 N=32 N=32 N=32 N=32 N=32 N=32 N=32 N=32 N=32 N=32 N=31 N=32 N=32 N=32 N=32 N=32 N=32 N=32 N=32 N=32 N=32 N=32 1.548 15300 14943 463 1523 1356 329 239 186 76 29.2 28.5 19.1 14.25 14.09 11.9 6.88 6.07 6.0 5.769 4.408 3.928 3.91 3.47 3.30 2.86 2.35 1.708 1.419 1.178 1.177 1.160 1.088 1.032 0.90 0.630 0.426 0.341 0.292 0.181 0.155 N=9 N=9 N=9 N=5 N=9 N=9 N=9 N=9 N=9 N=9 N=9 N=9 N=9 N=9 N=9 N=9 N=9 N=9 N=9 N=9 N=9 N=9 N=9 N=9 N=9 N=9 N=9 N=9 N=9 N=9 N=9 N=9 N=9 N=9 N=9 N=9 N=9 N=9 N=9 N=9 N=9 1.701 18510 12517 476 776 731 309 216 291 131 42.6 28.5 47.6 14.77 12.12 24.8 4.60 5.93 18.3 0.824 0.953 1.411 3.96 2.52 1.90 3.19 3.11 3.271 2.949 0.734 1.743 0.579 0.947 2.719 4.46 1.261 0.326 0.182 0.49 0.453 0.394 N=11 N=11 N=11 N=8 N=11 N=11 N=11 N=11 N=11 N=11 N=11 N=11 N=11 N=11 N=11 N=11 N=11 N=11 N=11 N=11 N=11 N=11 N=11 N=11 N=11 N=11 N=11 N=11 N=11 N=10 N=11 N=11 N=11 N=11 N=11 N=11 N=11 N=11 N=11 N=11 N=11 1.528 29091 11557 615 222 467 305 255 244 140 42.8 15.8 45.7 8.09 7.13 37.8 4.83 10.47 17.8 0.727 0.808 0.839 2.21 3.07 1.34 1.56 1.34 0.790 0.445 0.675 0.861 0.407 1.037 0.216 6.02 1.410 0.141 0.128 0.156 0.042 0.049 N=12 N=11 N=12 N=8 N=12 N=12 N=12 N=12 N=12 N=12 N=12 N=12 N=12 N=12 N=12 N=12 N=12 N=12 N=12 N=12 N=12 N=12 N=12 N=12 N=12 N=12 N=12 N=12 N=12 N=12 N=12 N=12 N=12 N=12 N=12 N=12 N=12 N=12 N=12 N=12 N=12 -10.2 90.1 -22.7 32.8 -85.4 -65.6 -7.3 18.1 56.6 84.7 46.6 -44.7 148.7 -45.2 -49.4 219.0 -33.1 76.6 203.2 -87.4 -81.7 -78.6 -44.1 -27.3 -59.5 -51.3 -56.8 -75.8 -84.9 -42.7 -50.6 -64.9 -13.0 -92.1 568.5 123.8 -66.9 -62.5 -68.2 -90.7 -87.6 Adelaide Coastal Waters Study Technical Report No. 17 21 summer Particulates mg/m3 0.12 autumn 0.10 winter 0.08 spring 0.06 0.04 0.02 Particulates 0.00 1994 1996 1998 2000 2002 2004 2006 summer 3.5 autumn Lead mg/g 3 winter 2.5 spring 2 1.5 1 0.5 Lead 0 1994 1996 1998 2000 2002 2004 2006 summer 0.10 autumn Lead mg/m3 0.08 winter spring 0.06 0.04 0.02 Lead 0.00 1994 1996 1998 2000 2002 2004 2006 Figure 20. Changes in lead concentration of air and filtered particulates from 1994 to 2004 showing seasonal differences. Adelaide Coastal Waters Study Technical Report No. 17 22 5. Conclusions The wetfall and dryfall contribution of nitrogen input to the Adelaide Coastal Waters is a minor component of the overall load (less than 1% of the total or about 33 tonnes/y) and is about the same as stormwater flows. This low loading is due to the low concentrations in rainwater and particulate matter of nitrogen and other pollutants. Dryfall contributes a significant amount to the total solids (approximately 18%), however again the concentration of nitrogen and other pollutants is low. With the gradual reduction of lead in the air due to unleaded petrol over the last 15 years, lead input has declined significantly. Nitrogen species washed out in rainwater are dominated by oxidised nitrogen (NOx) during the summer and autumn, presumably from fossil fuel burning sources. During the winter wet season, reduced ammonia nitrogen dominates the washout. Dusty wind events do not contribute much greater loads than background dust and wind conditions. Dust and pollutants in the atmosphere are quickly returned to background levels after only a day or two following washout events (rain). However, generally, the longer the dry period prior to a rainfall event, the higher the concentration of dust and pollutants will be. Adelaide Coastal Waters Study Technical Report No. 17 23 6. References Busacca, A., Wagoner L., Mehringer, Jr., P., and Bacon, M., (Barber. 2000. African Dust and the Demise of Caribbean Coral Reefs. Geophysical Research Letters. 27(19), p. 3029-3032. Busacca, A., et al., 1998). Effect of human activity on dustfall: a 1,300-year lake core record of dust deposition on the Columbia Plateau, Pacific Northwest U.S.A.. p. 8-11. In A.J. Busacca (ed.) Dust Aerosols, Loess Soils, and Global Change. College of Agriculture and Home Economics Miscellaneous Publication MISC0190, Washington State University, Pullman, WA. Castro, M.S., and Driscoll, C.T. (2002). Atmospheric nitrogen deposition to estuaries in the mid-Atlantic and northeastern United States. Environmental Science Technology, 26, 3242-3249. Clark, R.D.S. (1987). Nitrogen and phosphorus in rainwater at locations near Adelaide, South Australia: unpublished technical report for the Engineering and Water Supply Department, South Australian Government, 44 p. Darwin, C. (1846). An account of the fine dust which often falls on vessels in the Atlantic Ocean. Quarterly Journal of the Geological Society of London, v. 2, p. 26-30. Kayaalp, A.S. (2001). Application of rainfall chemistry and isotope data to hydrometeological modelling: unpublished Ph.D. thesis Flinders University, 273 p. Kitto, M.E., Anderson, D.L., Gordon, G.E., and Olmez, I. (1992). Rare earth distributions in catalysts and airborne particles. Environ. Sci. Technol., 26, 1368-1375. Lestari, P., Oskouie, A.K., Noll, K.E. (2003). Size distribution and dry deposition of particulate mass, sulphate and nitrate in an urban area. Atmospheric Environment 37, 2507-2516. Mizohata, A.J. (1986). Rare earth elements in atmospheric particles and their sources. J. Aerosol Res. Japan, 1, 966-968. Nakamura, T., Matsumoto, K., Uematsu, M. (2005). Chemical characteristics of aerosols transported from Asia to the East China Sea: an evaluation of anthropogenic combined nitrogen deposition in autumn. Atmos. Environ. 39, 1749-1758. National Pollutant Inventory Summary Report of Fourth Year Data 2001-2002: Environment Australia; www.npi.gov..au. Olmez, I. and Gordon, G.E. (1985). Rare earths: Atmospheric signatures for oil-fired power plants and refineries. Science 229, 966-968. Paramee, S. Chidthaisong, A., Towprayoon, S., Asnachinda, P., Bashkin, V.N., Tangtham, N., 2005: Three-year monitoring results of nitrate and ammonium wet deposition in Thailand DE nitrate, ammonium, wet deposition, Thailand: Environmental Monitoring and Assessment, 102, 27-40. Adelaide Coastal Waters Study Technical Report No. 17 24 Poor, N., Pribble, R., Greening, H. (2001). Direct wet and dry deposition of ammonia, nitric acid, ammonium and nitrate to the Tampa Bay Estuary, FL, USA. Atmospheric Environment, 35, 3947-3955. Prospero, J.M. 1999). Long-term measurements of the transport of African mineral dust to the southeastern United States: Implications for regional air quality: Journal of Geophysical Research, 104, 15,917-15,927. Pye, K. (1987). Aeolian Dust and Dust Deposits: Harcourt Brace Jovanovich, New York. Shinn, E.A., Smith, G.W., Prospero, J.M., Betzer, P., Hayes, M.L., Garrison, V., and Barber, R.T. (2000). African dust and the demise of Caribbean Coral Reefs. Geophysical Research Letters, 27, 3029-3032. Sholkovitz, E.R. (1990). Rare-earth elements in marine sediments and geochemical standards. Cheimcal Geology 88, 333-347. Singer, A., Ganor, E., Dultz, S., and Fischer, W. (2003). Dust deposition over the Dead Sea. Journal of Arid Environments 53, 41-59. Wilkinson R.J., Reynolds B., Neal C., Hill S., Neal M. and Harrow M.L. (1997). Major, minor and trace element composition of cloud water and rainwater at Plynlimon, Mid-Wales. Hydrology and Earth Systems Sciences (Special Issue: Water Quality of the Plynlimon Catchments (UK)), 1, 557-570. Wilkinson J, White, N., Smythe, L., Fallowfield, H., Hutson, J., Bestland, E., Simmons, C. and Lamontagne, S. (2005). Volumes of inputs, their concentrations and loads received by Adelaide metropolitan coastal waters. ACWS Technical Report No. 12 prepared for the Adelaide Coastal Waters Study Steering Committee by Flinders Centre for Coastal and Catchment Environments, Flinders University of SA September 2005. Adelaide Coastal Waters Study Technical Report No. 17 25 Appendix I: The Wetfall Collector Located at BOM, Adelaide Airport Adelaide Coastal Waters Study Technical Report No. 17 26 Adelaide Coastal Waters Study Technical Report No. 17 no air no air Vair Blank mwhole Whole filter n msub-blank n msub Sub-sample Vsol Vsol Acid digest = mg\L ICP msub Vsol ICP = mg\L x Vsol mdig mass in digest x Vsol mdig n Subtract blank me me-sub-sum x npapers : n mblank mass element mass element mass in subsamples in one in one sum sub sample sub sample from air : msam mass in whole papers x mwhole msub me-whole : Vair concair Appendix II: Analysis flow diagram for high volume air sample filter papers. 27 Date range of bulked filters TKN analysis result (Already Blank Corrected) Average TKN in air Average TKN on particulates Appendix III: Concentrations of TKN nitrogen collected on high volume air sampler filters per cubic metre of air sampled and per gram of particulate matter collected 3/1/95-27/4/95 3/5/95-31/8/95 6/9/95-29/12/95 4/1/96-27/4/96 3/5/96-31/8/96 12/9/96-23/12/96 4/1/97-28/4/97 4/5/97-8/8/97 7/9/97-30/12/97 11/1/98-29/4/98 11/5/98-27/8/98 2/9/98-31/12/98 6/1/99-30/4/99 12/5/99-28/8/99 3/9/99-26/12/99 1/1/00-30/4/00 4/9/01-27/12/01 2/1/02-26/4/02 2/5/02-30/8/02 5/9/02-28/12/02 3/1/03-27/4/03 3/5/03-31/8/03 6/9/03-29/12/03 4/1/04-27/4/04 3/5/04-31/8/04 mg/L 0.26 <0.1 0.15 0.14 0.10 0.19 0.22 <0.1 0.16 0.13 0.14 0.22 0.20 0.18 0.19 0.17 0.35 0.14 0.12 0.18 0.35 0.14 0.28 0.30 <0.1 ug/m3 0.034 mg/g 0.74 Adelaide Coastal Waters Study Technical Report No. 17 0.015 0.015 0.011 0.022 0.023 0.28 0.29 0.32 0.39 0.24 0.021 0.019 0.017 0.020 0.025 0.026 0.037 0.017 0.050 0.024 0.013 0.021 0.057 0.017 0.029 0.031 0.29 0.30 0.43 0.30 0.36 0.76 0.43 0.25 1.38 0.40 0.32 0.37 0.83 0.45 0.40 0.30 28 Appendix IV: Comparison of mass of element in digest of blank and exposed filters ug/g Na Ca Mg B K Al S Ba Zn Fe Ga P Sr Cr Pb (OES) Pb (MS) Ti Cu Rb Mn Ni Li I Ce V Nd La As Mo Parts per million of digested filter matrix Mean exposed Blank filters ug/g Blank 41000 36900 Zr 0.056 6970 8182 Se 0.039 2380 2220 Dy 0.039 2200 1650 Sn 0.036 1270 1300 U 0.036 1070 1102 Sc 0.033 292 931 Co 0.032 229 239 Gd 0.032 161 176 Yb 0.028 53.3 457 Cd 0.027 19.0 12.8 Er 0.026 5.44 30.6 Sm 0.024 3.28 10.3 Eu 0.019 3.01 4.37 Pr 0.018 2.46 23.7 Cs 0.016 2.20 24.7 Ag 0.008 2.00 9.82 Tb 0.006 1.51 4.91 Bi 0.005 1.21 1.66 Sb 0.005 0.754 10.4 Tm 0.005 0.721 1.43 Lu 0.004 0.590 0.859 W 0.002 0.557 1.61 Pt 0.002 0.118 0.874 Th 0.001 0.102 1.27 Tl 0.001 0.072 0.455 Pd 0.000 0.072 0.413 Be 0.000 0.062 0.463 Nb 0.000 0.056 0.206 Hg -0.001 Adelaide Coastal Waters Study Technical Report No. 17 Mean exposed filters 0.002 0.153 0.100 0.094 0.076 0.050 0.271 0.103 0.069 0.108 0.076 0.103 0.032 0.122 0.079 0.064 0.016 0.036 0.024 0.012 0.010 0.003 0.002 0.064 0.029 0.008 0.033 0.009 0.005 29 Appendix V: Mass of element in digest of exposed filters 300000 10000.0 9000.0 8000.0 7000.0 6000.0 5000.0 4000.0 3000.0 2000.0 1000.0 0.0 250000 Mass (ug) 200000 150000 100000 50000 Bl A u an k tu m n '95 Sp rin g' 95 W in te r' 9 Au 6 tu m n '97 Sp rin g' 97 Au tu m n '98 Sp rin g' 98 Au tu m n '99 Sp rin g' 99 Au tu m n ' 00 Su m m er '01 W in te r' 01 Su m m er '02 W in te r' 02 Su m m er '03 W in te r' 03 Su m m er '04 W in te r' 04 0 Mass (TSP) Mass 2 (filter + elements) Mass 2 (minus Na, Ca, Mg, B, K, Al, S, Cu, Cr, Rb, Li, As, Se, Be, Ba, Zn, Ga and Eu[2nd y-axis]) 1. ICP Concentration (ug/L) 1000000.0 Na Data Point 1 = Blank Ca Mg B 100000.0 K Al S 10000.0 1000.0 1 1.1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 ICP Concentration (ug/L) 100.0 63 Cu Cr 85 Rb 7 Li 75 As 78 Se 9 Be 10.0 1.0 0.1 Data Point 1 = Blank 0.0 1 1.2 3 5 7 9 11 13 ICP Concentration (ug/L) 10000.0 15 17 19 21 23 25 27 29 31 33 35 37 137 Ba Zn 69 Ga 153 Eu Data Point 1 = Blank 1000.0 100.0 10.0 1.0 0.1 0.0 2 1 3 5 7 9 11 13 15 17 19 21 Adelaide Coastal Waters Study Technical Report No. 17 23 25 27 29 31 33 35 37 30 10.0 ICP Concentration (ug/L) Data Point 1 = Blank 1.0 0.1 0.0 1 3 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 Fe P Mn 88 Sr 47 Ti 202 Hg 10000.0 ICP Concentration (ug/L) 140 Ce 146 Nd 139 La 141 Pr 147 Sm 157 Gd 163 Dy 238 U 166 Er 172 Yb 45 Sc 159 Tb 169 Tm 175 Lu 93 Nb 1000.0 100.0 10.0 1.0 0.1 0.0 Data Point 1 = Blank 0.0 0.0 1 4 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 10.0 ICP Concentration (ug/L) Data Point 1 = Blank 118 Sn 232 Th 1.0 0.1 0.0 0.0 0.0 1 5 3 5 7 9 11 13 15 10.0 19 21 23 25 27 29 31 33 35 37 107 Ag Data Point 1 = Blank ICP Concentration (ug/L) 17 107 Ag 1.0 0.1 0.0 1 3 5 7 9 11 13 15 17 19 21 Adelaide Coastal Waters Study Technical Report No. 17 23 25 27 29 31 33 35 37 31 ICP Concentration (ug/L) 100.0 127 I 60 Ni 51 V 10.0 1.0 Data Point 1 = Blank 0.1 1 8 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 ICP Concentration (ug/L) 1.0 209 Bi 205 Tl 0.1 0.0 Data Point 1 = Blank 0.0 1 9 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 10.0 59 Co 95 Mo 133 Cs 121 Sb ICP Concentration (ug/L) Data Point 1 = Blank 1.0 0.1 0.0 1 10 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 ICP Concentration (ug/L) 1000.0 208 Pb 111 Cd 195 Pt 100.0 10.0 Data Point 1 = Blank 1.0 0.1 0.0 0.0 11 1 3 5 7 9 11 13 15 17 19 Adelaide Coastal Waters Study Technical Report No. 17 21 23 25 27 29 31 33 35 37 32 Appendix VI: Mean concentrations of elements analysed for in high volume air samples. Element 32 S 56 Fe 31 P 207 Pb 55 Mn 47 Ti 88 Sr 63 Cu 51 V 127 I 60 Ni 140 Ce 75 As 146 Nd 139 La 59 Co 95 Mo 78 Se 141 Pr 111 Cd 147 Sm 157 Gd 118 Sn 133 Cs 163 Dy 232 Th 107 Ag 166 Er 172 Yb 238 U 9 Be 209 Bi 205 Tl 121 Sb 159 Tb 93 Nb 169 Tm 202 Hg 175 Lu Concentration in Particulates ug/g 21845.554 12644.135 786.530 739.784 305.399 240.235 231.807 113.951 37.742 36.975 25.229 23.211 14.103 11.845 10.575 7.440 5.170 3.842 3.220 2.922 2.437 2.179 2.048 2.043 1.844 1.828 1.780 1.518 1.252 1.226 1.094 0.990 0.930 0.646 0.301 0.277 0.213 0.197 0.189 Adelaide Coastal Waters Study Technical Report No. 17 Concentration in Air ng/m3 1224.905 1008.184 57.053 38.769 21.860 19.194 16.165 7.017 2.621 2.038 1.632 1.796 0.848 0.901 0.808 0.531 0.333 0.215 0.247 0.194 0.189 0.166 0.097 0.149 0.135 0.127 0.103 0.102 0.083 0.097 0.068 0.067 0.062 0.037 0.023 0.020 0.014 0.011 0.012 33 Appendix VII: Multiple scatter plots of minor and trace elements in Adelaide high volume air samples. Figure AVII.1. Inter-elemental relationships of log10 transformed concentrations of minor and trace elements in solids collected on filter papers from air passing through high volume samplers (excluding the actinides and lanthanides). Adelaide Coastal Waters Study Technical Report No. 17 34 Figure AVII.2. Multiple scatter plots of log10 transformed concentrations of lanthanides and actinides in solids on high volume air sampling filter papers (values not shown are in ng/g solids). Adelaide Coastal Waters Study Technical Report No. 17 35 Appendix VIII: Dry deposition of nitrogen species to the central and northern Adelaide Metropolitan Area and 2km buffer strip for estimating N load (prepared by M. Hartley, South Australian EPA). Figure AVIII.1. Dry nitrogen dioxide deposition to Adelaide Coastal Waters in tonnes per year, 2002. Adelaide Coastal Waters Study Technical Report No. 17 36 Figure AVIII.2. Dry deposition total nitrogen oxides to Adelaide Coastal Waters in tonnes/y, 2002. Adelaide Coastal Waters Study Technical Report No. 17 37 Figure AVIII.3. The buffer strip used to estimate the dry nitrogen oxide load to the immediate coastal strip. Adelaide Coastal Waters Study Technical Report No. 17 38
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