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CASTNET Methodology for Modeling Dry and Total Deposition

  • Christopher M. RogersEmail author
  • Thomas F. Lavery
  • Marcus O. Stewart
  • William R. Barnard
  • H. Kemp Howell
Conference paper
Part of the Springer Proceedings in Complexity book series (SPCOM)

Abstract

Gaseous and particulate pollutants are deposited to the environment through dry, wet, and occult atmospheric processes. The US Environmental Protection Agency (USEPA), in conjunction with the National Park Service (NPS), the Bureau of Land Management (BLM), and other partners, has established the Clean Air Status and Trends Network (CASTNET) to provide estimates of the dry deposition component of total deposition of sulfur and inorganic nitrogen across the United States. CASTNET began operation in 1991 and currently features 90 active sites with many partners including multiple federal agencies, tribal, state, and local entities, and educational institutions. Most CASTNET locations are rural and intended as long term monitoring sites. Previously, CASTNET used an inferential method to estimate dry deposition by combining measured pollutant concentrations and modeled deposition velocities. Until recently, deposition velocities were modeled using the NOAA/USEPA Multi-layer Model (MLM), which incorporated meteorological measurements and information on the vegetative cover within 1 km of each site. These values were combined with wet deposition values provided by the National Atmospheric Deposition Program’s National Trends Network (NADP/NTN) to obtain total deposition. Recent changes to the methodology have improved data completeness.

Keywords

Deposition Velocity Inverse Distance Weighting Total Deposition National Atmospheric Deposition Program National Park Service 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Bowker GE, Schwede DB, Lear GG, Warren-Hicks WJ, Finkelstein PL (2011) Quality assurance decisions with air models: a case study of imputation of missing input data using EPA’s multi-layer model. Water Air Soil Pollut 222:391–402CrossRefGoogle Scholar
  2. 2.
    Daly C, Neilson RP, Phillips DL (1994) A statistical-topographic model for mapping climatological precipitation over mountainous terrain. J Appl Meteorol 33:140–158CrossRefGoogle Scholar
  3. 3.
    Finkelstein PL, Ellestad TG, Clarke JF, Meyers TP, Schwede DB, Hebert EO, Neal JA (2000) Ozone and sulfur dioxide dry deposition to forests: observations and model evaluation. J Geophys Res 105(D12):15365–15377CrossRefGoogle Scholar
  4. 4.
    Meyers TP, Finkelstein P, Clarke J, Ellestad TG, Sims PF (1998) A multilayer model for inferring dry deposition using standard meteorological measurements. J Geophys Res 103(D17):22645–22661CrossRefGoogle Scholar
  5. 5.
    Schwede D, Lear G. A novel approach for estimating total deposition in the United States. In PressGoogle Scholar
  6. 6.
    U.S. Environmental Protection Agency (EPA) (2011) Using PRISM to estimate wet deposition for CASTNET. Presented at Spring 2011 NADP meeting Pensacola, FL. http://nadp.sws.uiuc.edu/committees/minutes.aspx

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Christopher M. Rogers
    • 1
    Email author
  • Thomas F. Lavery
    • 2
  • Marcus O. Stewart
    • 3
  • William R. Barnard
    • 3
  • H. Kemp Howell
    • 3
  1. 1.AMEC Environment & Infrastructure, Inc.JacksonvilleUSA
  2. 2.ConsultantCranstonUSA
  3. 3.AMEC Environment & Infrastructure, Inc.NewberryUSA

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