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Model Evaluation of Dry Deposition to Vegetation for Volatile and Semi-Volatile Organic Compounds in a Multimedia Environment

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Water, Air and Soil Pollution: Focus

Abstract

Gas-phase atmospheric deposition wasevaluated in a screening level model of themultimedia environmental distribution of toxics(MEND-TOX). Algorithmic additions to MEND-TOXfor the estimation of gas-phase depositionvelocity over vegetated surfaces were analyzedusing recently published dry deposition fluxmeasurements for nitric acid. Model outputs arecompared to similar estimates from the NOAAmultilayer dry deposition model. Results of theevaluation indicate that MEND-TOX performs wellas a screening level model for the estimation ofgas-phase dry deposition velocity of nitric acidover soybeans. The present study expandsprevious laboratory results for organic speciesto include an inorganic species and open fieldand dry leaf, conditions.

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References

  • Cohen, Y.: 1996, ‘Volatile Organic Compounds in the Environment: A Multimedia Perspective’, in Wang, W., Schnoor, J. and Doi, J. (eds), Volatile Organic Compounds in the Environment, ASM STP 1261, Amer. Soc. for Testing and Materials, 100 Barr Harbor Drive, West Conshohocken, PA, pp. 7–32.

    Google Scholar 

  • Cohen, Y. and Clay, R. E.: 1994, ‘Multimedia partitioning of particle-bound organics’, J. Hazard. Mat. 37, 507–526.

    Google Scholar 

  • Cooter, E. J. and Schwede, D. B.: 2000, ‘Sensitivity of the National Oceanic and Atmospheric Administration multilayer model to instrument error and parameterization uncertainty’, J. of Geophys. Res. 105, D5, 6695–6707.

    Google Scholar 

  • Erisman, J.W. and Duyzer, J.: 1991, ‘A micrometeorological investigation of surface exchange parameters over heathland’, Bound. Lay. Meteorol. 57, 115–128.

    Google Scholar 

  • Hicks, B. B., Baldocchi, D. D., Meyers, T. P. and Matt, D. R.: 1987, ‘A preliminary multiple resistance routine for deriving dry deposition velocities from measured quantities’, Water, Air, and Soil Pollut. 36, 311–330.

    Google Scholar 

  • Lee, G., Zhuang, L., Huebert, B. J. and Meyers, T. P.: 1993, ‘Concentration gradients and dry deposition of nitric acid vapor at the Mauna Loa Observatory, Hawaii’, J. Geophys. Res. 98(D7), 12,661–12,671.

    Google Scholar 

  • Meyers, T. P., Finkelstein, P., Clarke, J., Ellestad, T. G. and Sims, P. F.: 1998, ‘A multilayer model for inferring dry deposition using standard meteorological measurements’, J. Geophys. Res. 103(D17), 22,645–22,661.

    Google Scholar 

  • Paterson, S., Mackay, D., Bacci, E. and Calamari, D.: 1991, ‘Correlation of the equilibrium and kinetics of leaf-air exchange of hydrophobic organic chemicals’, Environ. Sci. Technol. 25, 866–871.

    Google Scholar 

  • Ryan, P. and Cohen Y.: 1986, ‘Multimedia distribution of particle-bound pollutants: Benzo(a)pyrene test case’, Chemosphere 15, 21–47.

    Google Scholar 

  • Ryan, P. A. and Cohen, Y.: 1985, ‘Multimedia modelling of environmental transport: Trichloroethylene test case’, Environ. Sci. Technol. 19, 412–417.

    Google Scholar 

  • Sauer, T. J., Norman, J. M., Tanner, C. B. and Wilson, T. B.: 1995, ‘Measurement of heat and vapor transfer coefficients at the soil surface beneath a maize canopy using source plates’, Agric. For. Meteorol. 75, 161–189.

    Google Scholar 

  • Tsai, W., Cohen, Y., Sakugawa, H. and Kaplan, I.: 1991, ‘Dynamic partitioning of semivolatile organics in gas/particle/rain phases during rain scavenging’, Environ. Sci. Technol. 25, 2012–2023.

    Google Scholar 

  • Vohra, R.: 1996, ‘Dynamic Partitioning and Intermedia Transport of Hydrophobic Chemicals in Aquatic Systems’, Masters Thesis, Chemical Engineering Department, University of California, Los Angeles, 191 pp.

    Google Scholar 

  • Wesely, M. W.: 1989, ‘Parameterizations of surface resistances to gaseous dry deposition in regional scale numerical models’, Atmos. Environ. 23, 1293–1304.

    Google Scholar 

  • Wilkerson, G. G., Jones, J. W., Boote, K. J., Ingram, K. T. and Mishe, J. W.: 1983, ‘Modelling soybean growth for crop management’, Trans. ASAE 26, 67–73.

    Google Scholar 

  • Williams, J. R., Jones, C. A. and Dyke, P. T.: 1984, ‘A modelling approach to determining the relationship between erosion and soil productivity’, Trans. ASAE 27, 129–144.

    Google Scholar 

  • Williams, J. R. and Renard, K. G.: 1985, ‘Assessments of Soil Erosion and Crop Productivity with Process Models (EPIC)’, in R. F. Follett and B. A. Stewart (eds), Soil Erosion and Crop Productivity, Am. Soc. Of Agron., Madison, Wis., pp. 67–103.

    Google Scholar 

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(On assignment to the National Exposure Research Laboratory, U.S. Environmental Protection Agency); (author for correspondence, e-mail

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Cooter, E.J., Cohen, Y. Model Evaluation of Dry Deposition to Vegetation for Volatile and Semi-Volatile Organic Compounds in a Multimedia Environment. Water, Air, & Soil Pollution: Focus 1, 285–294 (2001). https://doi.org/10.1023/A:1013192113565

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