• Title of article

    Sediment flux modeling: Calibration and application for coastal systems

  • Author/Authors

    Brady، نويسنده , , Damian C. and Testa، نويسنده , , Jeremy M. and Di Toro، نويسنده , , Dominic M. and Boynton، نويسنده , , Walter R. and Kemp، نويسنده , , W. Michael، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2013
  • Pages
    18
  • From page
    107
  • To page
    124
  • Abstract
    Benthic–pelagic coupling in shallow estuarine and coastal environments is an important mode of particle and solute exchange and can influence lag times in the recovery of eutrophic ecosystems. Links between the water column and sediments are mediated by particulate organic matter (POM) deposition to the sediment and its subsequent decomposition. Some fraction of the regenerated nutrients are returned to the water column. A critical component in modeling sediment fluxes is the organic matter flux to the sediment. A method is presented for estimating POM deposition, which is especially difficult to measure, by using a combination of long term time series of measured inorganic nutrient fluxes and a mechanistic sediment flux model (SFM). A Hooke–Jeeves pattern search algorithm is used to adjust organic matter deposition to fit ammonium ( NH 4 + ) flux at 12 stations in Chesapeake Bay for up to 17 years. position estimates matched reasonably well with sediment trap estimates on average (within 10%) and were strongly correlated with previously published estimates based upon sediment chlorophyll-a (chl-a) distribution and degradation. Model versus field data comparisons of NH 4 + flux, sediment oxygen demand (SOD), sulfate ( SO 4 2 − ) reduction rate, porewater NH 4 + , and sedimentary labile carbon concentrations further validated model results and demonstrated that SFM is a powerful tool to analyze solute fluxes. Monthly model-field data comparisons clearly revealed that POM decomposition in the original SFM calibration was too rapid, which has implications for lagged ecosystem responses to nutrient management efforts. Finally, parameter adjustments have been made that significantly improve model-field data comparisons and underscore the importance of revisiting and recalibrating models as long time series (>5 years) become available.
  • Keywords
    sediments , MODELING , Ammonium , Sediment oxygen demand , Chesapeake Bay , diagenesis
  • Journal title
    Estuarine, Coastal and Shelf Science
  • Serial Year
    2013
  • Journal title
    Estuarine, Coastal and Shelf Science
  • Record number

    1945012