METAL ACCUMULATION AND IMPACTS ON BENTHIC ORGANISMS IN DETENTION POND SEDIMENTS David M. Baker Environmental Research and Design, Inc. 3419 Trentwood Boulevard, Orlando, Florida 32812 Yousef A. Yousef Department of Civil and Environmental Engineering University of Central Florida, Orlando, Florida 32816-2450 ABSTRACT Sediment cores were collected from thirteen wet detention ponds, located in Central and South Florida and were analyzed for heavy metal content. Benthic macroinvertibrates were collected from nine of these ponds. These organisms were identified, enumerated and analyzed for Cu, Pb and Zn content. The Shannon-Weaver diversity indeces were calculated for the study ponds. The calculated diversity indeces ranged from 0.0 to 1.9 which are typical of a stressed environment. The diversity index appeared to decline with an increase in the metal content of the top sediment layer. Copper appears to be the most detrimental metal to benthic organisms since it had the highest correlation with diversity index and was the most concentrated metal in the benthic organisms. INTRODUCTION Numerous researchers have reported significant concentrations of nutrients, heavy metals, pesticides, bacteria, organics and sediment in stormwater runoff (Wanielista, 1978; Harper, 1985; Yousef et al.; 1986). A comprehensive critical review for urban stormwater quality has been recently published by Makepeace et al., (1995). The advantage of retention/detention ponds is that they increase storage, reduce peak discharge, and reduce pollutant loads in runoff water. Pollutants, originating from urbanized areas are deposited in the ponds and form a loose layer of accumulated sediments. These accumulated sediments can be distinguished from the original parent soils by unique soil characteristics. Pond sediments are rich in heavy metals such as lead, zinc, copper, nickel, cadmium, and chromium. Of these, copper, lead and zinc have been reported to compromise up to 90% of all heavy metals, excluding iron (Yousef et al., 1991). Heavy metals are of concern as contaminants to aquatic systems because of their toxicity at low concentrations. Metal-impacted benthic communities are generally characterized by reduced abundance, lower species diversity, and shifts in community composition from sensitive to tolerant taxa (Winner et al., 1980; La Point et al., 1984; 32 Baker Clements, 1991). Several investigators have noted a general decrease in tolerance to heavy metals from chironomids to caddisflies (Trichoptera), to stoneflies (Plecoptera), to mayflies (Ephemeroptera) (Winner et al., 1980; Clements., 1992). Some investigators have reported that copper and mercury are the most toxic metals to benthic organisms (Khangarot, 1991). Analysis of the distribution and abundance of benthic organisms is routinely used in biomonitoring studies and is expressed by the diversity index within a cormnunity (Shannon and Weaver, 1949). In polluted environments the presence of a small number of species with a large number of individuals per specie produces low values for the species diversity index. Conversely, environments composed of a large number of species with equally distributed individuals produce large diversity index values. Values less than 1 have been reported from polluted waters (Wilhm and Dorris, 1968) and values above 3 have been reported from oligotrophic waters (Ransom and Dorris, 1972). Diversity index values for Florida lakes have been reported from 2 to 5 (Herbster, 1994). STUDY SITES The study ponds used in this report were located throughout Florida and are shown in Figure 1. The ponds ranged in age from 1 to 25 years. The age of each pond was considered to be from the operation start date through the actual sampling date. Drainage basin areas ranged from 85.4 Ha to 2.99 Ha, and pond surface areas ranged from 1.84 Ha to 0.53 Ha. Detailed data for physical characteristics, sediment metal concentrations and benthic organism distribution for the ponds is presented in Baker (1994). MATERIALS AND METHODS Core samples of pond bottom sediments were collected by driving a polycarbonate pipe 15 to 30 cm into the pond bottom sediments and retrieving the sediment cores. The cores were then frozen, separated into 5 or 6 layers and stored for analysis. A minimum of 25 core samples were collected from each pond. A detailed description of the sampling procedures used, the location of the sediment cores and the number of cores collected from each pond are listed in a published reports by Yousef et al., (1991). Heavy metal concentrations of each sediment layers were measured on a plasma emission spectrophotometer following a nitric acid - sulfuric acid digestion. Benthic macroinvertibrates were collected from May 1989 to September 1989 at various stations for each pond with the use of an Ekman dredge. Four samples were collected and cornposited for each station. These samples were washed through a #30 mesh screen bucket and macroinvertibrates were hand picked, preserved, identified and enumerated as described in Standard Methods section 1005, 1985. The number of species and total number of individuals per species were used to calculate the species 33 Baker G 0 diversity index. The formula for the Shannon-Weaver diversity index is presented as follows: H’ = -Z(%) log,($) (5-l) RESULTS Heavy Metal Concentrations in Bottom Sediments Most of the particulates entering wet retention/detention ponds will settle to the bottom and form a loose layer of accumulated sediments. The accumulated sediment layers are very loose and uncompacted and, therefore, have a much lower wet density than the parent soils. The accumulated sediments also have higher organic, nutrient and metal content than the parent soils. Pollutant concentrations generally declined rapidly from the loose top layer to the underlying parent soils. A summary of metal concentrations in the loose and parent layers is presented in Table 1. Benthic Organisms The families Plesiopora h@icidae and Diptera culicidaedae were found in seven of the study ponds and the families Diptera cerotopogonidae and Diptera chironomidae were found in six of the ponds. The distribution of benthic macroinvertibrates in the study ponds is shown in Table 2. Figure 2 shows the average percent of benthic organisms present in the study ponds. The families Diptera culicidae and Diptera chironomidae accounted for over 60 percent of all organisms collected. Table 3 presents the calculated diversity index and average concentrations of Cu, Pb and Zrt in the top sediment layer. The diversity indeces ranged from 0 in the Palm Bay pond to 1.925 in the Cleat-water Pond. The 0 value in the Palm Bay pond was because only one family was found in the pond. As seen in figure 3 the relationship between sediment concentrations of copper and the diversity index indicates that in general, as the Cu content of the sediment increases the species diversity decreases. Similar relationships were found with Pb and Zn. However Cu showed the strongest relationship. 35 Baker TABLE 1 SUMMARY OF HEAVY METAL CONCENTRATIONS IN BOTTOM SEDIMENT LAYERS Sediment Metal Concentration (ug/gDry Wt.) Metal Layer Number of Ponds Copper Accumulated 13 23.5 19.9 19 5 73 Parent 13 4.9 4.6 3.2 1.2 13.8 Accumulated 13 278.3 124 348.2 18 1,047 Parent 13 49.5 31.7 48.3 6 163 Accumulated 13 123.7 58.5 154.8 13 538 Parent 13 9.5 5.9 9.9 1.6 38.1 M x . a a x ’ Mean Median Standard Min. M Deviation TABLE 2 SUMMARY OF BENTHIC ORGANISMS FOUND IN NINE STUDY PONDS Pond Number of Samples Mean Number of collected ~O r g a n i s m s p e r Square foot Mean Number-of Families per Square foot Fort Myers 5 302.2 9 Tampa 4 11 2.75 Clearwater 9 10 4 4 269 3.5 MeIbourne 5 114 3.4 Palm Bay 2 5 1 Orlando 3 13.33 2 New Symma 6 963 7.33 Greenview 3 90.67 5.67 Ocala 36 Baker (3.15%) %I &bra udcjdae (32.88%) Pmopom htrnbfhddae (8.26%) hskpom turn (10.22%) Figure 2: Mean benthic composition of nine Central and South Florida wet detentionl/etention ponds. SEDlMENT DIVERSITY INDEX AND HEAVY METAL CON CENTRATIONS FOR SELECI’ED STUDY PONDS Pond Diversity Index r- Sediment Metal Content (JI copper Lead 22 237 hvmwt,) zinc - -Bay 0 Orlando 0.468 73 1,025 538 New smyrna 0.761 7 124 20 Melbourne 1.024 46 159 71 1.03 1 31 371 286 Tampa 1.498 13 94 56 Fort Myers 1.572 7 192 13 Greew 1.807 20 57 58.5 1.925 16 119 91 cl-er i: 37 Baker 2.5 I 0.5 Palm Bay 0 Figure 3: 10 20 30 40 50 60 Sediment Copper Conc. (ug/g dry wt.) 70 8d Change in diversity index with top sediment layer copper concentrations of wet detention ponds. Metal Accumulation in Benthic Organisms The metal content was determined for the benthic organisms collected from six of the pond sites studied. The metal content of the benthic organisms varied considerably from pond to pond (Table 4). Metal concentration factors for the benthic organisms were calculated by dividing the metal concentrations of the benthic organisms by the metal concentrations of the of the top sediment layer (Table 4). Copper had the highest concentration factor (mean=598), while lead had the lowest concentration factor (mean=5). Based on the high concentration factor, relative to the other heavy metals, and the relatively strong relationship between copper and the species diversity index, it appears that copper may be the most detrimental metal in bottom sediments to benthic organisms. 38 Baker TABLE 4 METAL CONTENT AND CONCENTRATION FACTORS FOR BENTHIC ORGANISMS COLLECTED IN STUDY PONDS Pond T Concentration ug/j CR Pb Tampa 3 1,362 1,043 Orlando 6,750 Grdew dry wt. T zn Concentration Factor Cll Pb 2,975 2,412 11 53 2,400 9,750 92 2 18 1,154 189 578 58 3 10 Melbourne 1,465 415 1,100 964 13 750 Fort Myers 6,750 2,400 9,750 32 3 1.5 225 45 192 32 0 10 Mean 7,95 1 1,082 4,057 598 5 143 Median 4,108 729 2,038 75 3 17 S&L Dev. 11,823 1,076 4,512 961 5 298 New Smyrna Zn SUMMARY AND CONCLUSIONS Sediment core samples and benthic macroinvertibrates were collected from thirteen wet detention ponds, located in Central and South Florida. The samples were analyzed for heavy metal content and the benthic organisms were identified, enumerated and analyzed for Cu, Pb and Zn content. Attempts were made to evaluate the impact of sediment heavy metals on benthic organisms for these ponds. The calculated diversity indeces varied from 0 to 1.9 which are typical of stressed environments. Copper concentration factors for the benthic organisms were the highest among the metals measured. The data suggests that detention ponds retain heavy metals and may be effective in stormwater control and protection of receiving water bodies. 39 Baker LITERATURE CITED AAPHA, AWWA and WPCF. “Standard Methods for the Examination of Water and Wastewater” published by APHA, Sixteenth edition, 1985. Baker, D. M. “Modeling Metal Accumulation In Wet Detention Ponds.” M.S. Env. Thesis, University of Central Florida, 1994. Clements, W. H. “Community Responses of Stream Organisms to Heavy Metals: A Review of Descriptive and Experimental Approaches.” In Ecotoxicolonv of Metals: Current Concepts and Applications, pp 363-391. Edited by M. C. Newman and A. W. McIntosh. Boca Raton, FL: CRC Press, 1991. Clements, W. H.; Cherry, D. S.; and Van Hassel, J. H. “Assessment of the Impact of Heavy Metals on the Benthic Communities at the Clinch River (Virginia): Evaluation of an Index of Community Sensitivity.” Canadian Journal of Fisheries and Aquatic Science 49 (October 1992): 1686-1694. Harper, H. H. Fate of Heavy Metals from Highway Runoff in Stormwater Management Svstems. Ph. D., Dissertation, University of Central Florida, Orlando, 1985. “Typical Diversity Indices for Floridian Lakes, ” Personal Herbster, D . Communication, Orlando, Florida Department of Environmental Protection, November 5, 1994. Khangarot, B. S. “Toxicity of Metals to a Freshwater Tubificid Worm Tubifex tubifex (Muller). ” Bulletin of Environmental Contamination and Toxicologv 44 (September 1991): 907-912. La Point, T, W.; Melancan, S. M.; and Morris, M. I(. Relationships, Among Observed Metal Concentrations, Criteria, and Benthic Community Structural Responses in 15 Streams.” Journal of the Water Pollution Control Federation 56 (September 1984): 1030-1038. Makepeace, D. K.; Smith, D, W. and Stanley, S. J. “Urban Stormwater Quality: Summary of Contaminant Data.” Critical Reviews in Environmental Engineering and Technology 25, (November 1995): 93-140. Ransom, J. D.; and Dorris, T. C. Analysis of Benthic Community Structure in a Reservoir by Use of Diversity Indices.” American Midland Naturalist (February 1972): 434447. 40 Baker Shannon, C. E. ; and Weaver, W. The Mathematical Theorv of Comunication. Urbana, 11: University of Illinios Press, 1949. Wanielista, M. P. Stormwater Management Quantitv and Qualitv. Ann Arbor, MI: Ann Arbor Science, 1978. Wilhm, J. L.; and Dorris, T. C. “Biological Parameters of Water Quality” Bioscience 18 (May 1968): 477-481. Winner, R. W.; Boesel, B. W.; and Farrel, M. P. “Insect Community Structure as an Index of Heavy-Metal Pollution in Lotic Ecosystems. ” Canadian Journal of Fisheries and Aquatic Science 37 (June L980): 647-655. Yousef, Y. A.; Wanielsita, M. P. ; and Harper, H. H. “Design and Effectiveness of Urban Retention Basins, ” ASCE Proceedings of an Engineering. Foundation Conference on Urban Runoff Qualitv-Imnact and Qualitv Enhancement Technologv, pp 338-350. Henniker, NH, June 23, 1986. Yousef, Y. A.; Lin, J; Sloat, J.; and Kaye,K. Maintenance Guidelines for Accumulated Sediments in Retention/Detention Ponds Receiving Highway Runoff. University of Central Florida, Florida Department of Transportation, 1991. 41 Baker
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