A dynamic model using monitoring data and watershed characteristics to project fish tissue mercury concentrations in stream systems

作者: Caroline Chan , John F Heinbokel , John A Myers , Robert R Jacobs

DOI: 10.1002/IEAM.1302

关键词: WetlandEnvironmental engineeringHydrologyTrophic levelWater qualityBioaccumulationWatershedFood webEnvironmental scienceStructural basinWater column

摘要: A complex interplay of factors determines the degree bioaccumulation Hg in fish any particular basin. Although certain watershed characteristics have been associated with higher or lower rates, relationships between these are poorly understood. To add to this understanding, a dynamic model was built examine stream systems. The follows from water column, through microbial conversion and subsequent concentration, food web piscivorous fish. calibrated 7 basins Kentucky further evaluated by comparing output sites in, proximal to, Ohio River Valley, an underrepresented region literature. Water quality basin were inputs into model, tissue concentrations generic trophic level 3, 3.5, 4 output. Regulatory monitoring data used calibrate evaluate model. Mean average prediction error for 26%, whereas mean evaluation 51%. Variability within natural systems can be substantial quantified analysis US Geological Survey National Fish Database. This pointed need more systematic sampling tissue. Analysis indicated that parameters had greatest impact on influenced system at several points. These included forested wetlands coverage nutrient levels. Factors less sensitive modified only 1 point unfiltered total input portion is developed. Integr Environ Assess Manag 2012; 8: 709–722. © 2012 SETAC

参考文章(39)
Darren M. Ward, Keith H. Nislow, Carol L. Folt, Bioaccumulation syndrome: identifying factors that make some stream food webs prone to elevated mercury bioaccumulation Annals of the New York Academy of Sciences. ,vol. 1195, pp. 62- 83 ,(2010) , 10.1111/J.1749-6632.2010.05456.X
Lisa B. Cleckner, Cynthia C. Gilmour, James P. Hurley, David P. Krabbenhoft, Mercury methylation in periphyton of the Florida Everglades Limnology and Oceanography. ,vol. 44, pp. 1815- 1825 ,(1999) , 10.4319/LO.1999.44.7.1815
Chad R. Hammerschmidt, William F. Fitzgerald, Methylmercury in freshwater fish linked to atmospheric mercury deposition. Environmental Science & Technology. ,vol. 40, pp. 7764- 7770 ,(2006) , 10.1021/ES061480I
Martin Tsz Ki Tsui, Jacques C. Finlay, Edward A. Nater, Mercury Bioaccumulation in a Stream Network Environmental Science & Technology. ,vol. 43, pp. 7016- 7022 ,(2009) , 10.1021/ES901525W
Karen Riva-Murray, Lia C. Chasar, Paul M. Bradley, Douglas A. Burns, Mark E. Brigham, Martyn J. Smith, Thomas A. Abrahamsen, Spatial patterns of mercury in macroinvertebrates and fishes from streams of two contrasting forested landscapes in the eastern United States Ecotoxicology. ,vol. 20, pp. 1530- 1542 ,(2011) , 10.1007/S10646-011-0719-9
Amanda H. Bell, Barbara C. Scudder, Mercury Accumulation in Periphyton of Eight River Ecosystems Journal of The American Water Resources Association. ,vol. 43, pp. 957- 968 ,(2007) , 10.1111/J.1752-1688.2007.00078.X
Erich B. Emery, John P. Spaeth, Mercury Concentrations in Water and Hybrid Striped Bass (Morone saxatilis × M. chrysops) Muscle Tissue Samples Collected from the Ohio River, USA Archives of Environmental Contamination and Toxicology. ,vol. 60, pp. 486- 495 ,(2011) , 10.1007/S00244-010-9558-6
Mahalingam Ravichandran, Interactions between mercury and dissolved organic matter––a review Chemosphere. ,vol. 55, pp. 319- 331 ,(2004) , 10.1016/J.CHEMOSPHERE.2003.11.011
Brenda M. Miskimmin, John W. M. Rudd, Carol A. Kelly, Influence of Dissolved Organic Carbon, pH, and Microbial Respiration Rates on Mercury Methylation and Demethylation in Lake Water Canadian Journal of Fisheries and Aquatic Sciences. ,vol. 49, pp. 17- 22 ,(1992) , 10.1139/F92-002