Storm Water Pollution Source Identification in Washington, DC, Using Bayesian Chemical Mass Balance Modeling
Publication: Journal of Environmental Engineering
Volume 140, Issue 3
Abstract
A Bayesian chemical mass balance (CMB) model was used to identify the sources of heavy metals in a highly urbanized area at the vicinity of the Anacostia River in Washington, DC. This method uses the elemental profiles of potential sources and the storm water runoff samples at two outfalls into the Anacostia River to infer the contribution of each source by providing the joint probability densities of the contribution of each source and the credible intervals of the inference. For this purpose, the potential sources of heavy metals in the urban catchment were identified and multiple samples of each were collected and analyzed by using an inductively coupled plasma mass spectrometry technique to determine their elemental profiles. Next, a Bayesian CMB method was employed to infer the contribution of various sources to the storm water runoff. The results of the analysis revealed that paved surfaces that accommodate traffic (i.e., street, bridge, and parking lot) are the major contributors to both dissolved and particulate metals in storm water. It was also found that for both dissolved fraction and total pollutants, the wet deposition source has a small contribution to all elements and that the runoff originating from roofs can be responsible for up to 50% of the Pb in the storm water.
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Acknowledgments
Funding for this study was provided by the District of Columbia Water Resources Research Institute. The authors also would like to thank Mihn Tri Le and Peter Horgan undergraduate students at the Civil Engineering Department at the Catholic University of America who helped in the sample collection.
References
Billheimer, D. (2001). “Compositional receptor modeling.” Environmetrics, 12(5), 451–467.
Boller, M. (1997). “Tracking heavy metals reveals sustainability deficits of urban drainage systems.” Water Sci. Technol., 35(9), 77–87.
Candela, A., et al. (2009). “Quantification of diffuse and concentrated pollutant loads at the watershed-scale: An Italian case study.” Water Sci. Technol., 59(11), 2125–2135.
Davis, A. P., Shokouhian, M., and Ni, S. (2001). “Loading estimates of lead, copper, cadmium, and zinc in urban runoff from specific sources.” Chemosphere, 44(5), 997–1009.
Fox, J. F., and Papanicolaou, A. N. (2008). “An un-mixing model to study watershed erosion processes.” Adv. Water Resour., 31(1), 96–108.
Gamerman, D., and Lopes, H. F. (2006). Markov chain Monte Carlo: Stochastic simulation for Bayesian inference, Vol. 68, Chapman & Hall/CRC Press, Boca Raton, FL.
Geweke, J. (1992). “Evaluating the accuracy of sampling-based approaches to calculating posterior moments.” In bayesian statistics 4, J. M. Bernado, J. O. Berger, A. P. Dawid, and A. F. M. Smith, eds., Clarendon Press, Oxford, U.K.
Geweke, J., and Tanizaki, H. (2001). “Bayesian estimation of state-space models using the metropolis—hastings algorithm within Gibbs sampling.”Comput. Stat. Data Anal., 37(2), 151–170.
Göbel, P., Dierkes, C., and Coldewey, W. G. (2007). “Storm water runoff concentration matrix for urban areas.”J. Contam. Hydrol., 91(1), 26–42.
Good, J. C. (1993). “Roof runoff as a diffuse source of metals and aquatic toxicity in storm water.” Water Sci. Technol., 28(3–5), 317–321.
Gordon, G. E. (1988). “Receptor models.” Environ. Sci. Technol., 22(10), 1132–1142.
Hall, L. W., Anderson, R. D., and Alden, R. W. (2002). “A ten year summary of concurrent ambient water column and sediment toxicity tests in the Chesapeake Bay watershed: 1990-1999.” Environ. Monit. Assess., 76(3), 311–352.
Hopke, P. K. (1985). Receptor modeling in environmental chemistry (Chemical analysis: A series of monographs on analytical chemistry and its applications), Wiley, New York.
Hopke, P. K. (2003). “Recent developments in receptor modeling.” J. Chemometr., 17(5), 255–265.
Joshi, U. M., and Balasubramanian, R. (2010). “Characteristics and environmental mobility of trace elements in urban runoff.” Chemosphere, 80(3), 310–318.
Keats, A., Cheng, M.-T., Yee, E., and Lien, F.-S. (2009). “Bayesian treatment of a chemical mass balance receptor model with multiplicative error structure.” Atmos. Environ., 43(3), 510–519.
Kelley, D. W., and Nater, E. A. (2000). “Source apportionment of lake bed sediments to watersheds in an Upper Mississippi basin using a chemical mass balance method.” Catena, 41(4), 277–292.
Massoudieh, A., Gellis, A., Banks, W. S., and Wieczorek, M. E. (2013). “Suspended sediment source apportionment in Chesapeake Bay watershed using Bayesian chemical mass balance receptor modeling.” Hydrolog. Process., 27(24), 3363–3374.
Massoudieh, A., and Kayhanian, M. (2013). “A Bayesian chemical mass balance method for surface water contaminant source apportionment.” J. Environ. Eng., 250–260.
Metropolis, N., Rosenbluth, A. W., Rosenbluth, M. N., Teller, A. H., and Teller, E. (1953). “Equations of state calculations by fast computing machines.” J. Chem. Phys., 21(6), 1087–1092.
Miller, M., Friedlander, S., and Hidy, G. (1972). “A chemical element balance for the Pasadena aerosol.” J. Colloid Interface Sci., 39(1), 165–176.
National Research Council. (2008). Urban stormwater management in the United States, National Academy Press, Washington, DC.
Olmez, I., and Hayes, M. J. (1990). “Identifying sources of groundwater pollution using trace element signatures.” Biol. Trace Elem. Res., 26(1), 355–361.
Pitt, R., and Lalor, M. (2000). “The role of pollution prevention in stormwater management.” Models and applications to urban water systems, Monograph 9, J. William, ed., CHI Publications, Guelph, ON, 1–20.
Pitt, R., and Voorhees, J. (2002). “SLAMM, the source loading and management model in: Wet-weather flow in the urban watershed: technology and management.” R. F. A. D. Sullivan, ed., CRC Press, Boca Raton, FL, 103–139.
Shaheen, D. G. (1975). “Contributions of urban roadway usage to water pollution.”, U.S. Environmental Protection Agency, Washington, DC.
Soonthornnonda, P., and Christensen, E. R. (2008). “Source apportionment of pollutants and flows of combined sewer wastewater.” Water Res., 42(8–9), 1989–1998.
Storage, Treatment, Overflow Runoff Model (STORM) [Computer software]. Davis, CA, U.S. Army Corps of Engineers.
Storm Water Management Model (SWMM) [Computer software]. Washington, DC, U.S. Environmental Protection Agency.
Su, M. C., Christensen, E. R., and Karls, J. F. (1998). “Determination of PAH sources in dated sediments from Green Bay, Wisconsin, by a chemical mass balance model.” Environ. Pollut., 99(3), 411–419.
Tanner, S., Baranov, V., and Bandura, D. (2002). “Reaction cells and collision cells for ICP-MS: A tutorial review.” Spectrochim. Acta, B57(9), 1361–1452.
Thomas, P. R., and Greene, G. R. (1993). “Rainwater quality from different roof catchments.” Water Sci. Tech., 28(3–5), 291–299.
U.S. Army Corps of Engineers (USACE). (2010). “Anacostia river watershed restoration plan and report, final draft.” Baltimore District, Baltimore, MD, 〈http://www.anacostia.net/Restoration_Plan/download/Anacostia-Report-Web-Quality.pdf〉 (Nov. 08, 2013).
U.S. Environmental Protection Agency (USEPA). (2004). “National water quality inventory: Report to Congress: 2002 reporting cycle.”, USEPA, Washington, DC.
U.S. Environmental Protection Agency (USEPA). (2005). “National management measures to control nonpoint source pollution from urban areas.”, USEPA, Washington, DC.
Velinsky, D. J., et al. (2011). “A contamination history of the Anacostia River, Washington, DC.” Environ. Assess. Monit., 183(1–4), 307–328.
Watson, J. G. (1984). “Overview of receptor model principles.” J. Air Pollut. Control Assoc., 34(6), 619–623.
Weis, J. S., and Weis, P. (1996). “The effects of using wood treated with chromated copper arsenate in shallow-water environments: A review.” Estuaries, 19(2), 306–310.
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Published In
Journal of Environmental Engineering
Volume 140 • Issue 3 • March 2014
Copyright
© 2013 American Society of Civil Engineers.
History
Received: Jun 17, 2013
Accepted: Nov 15, 2013
Published online: Dec 18, 2013
Published in print: Mar 1, 2014
Discussion open until: May 18, 2014
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