• Title of article

    IPTM-CS: A windows-based integrated pesticide transport model for a canopyesoil system

  • Author/Authors

    Xuefeng Chu a، نويسنده , , *، نويسنده , , Miguel A. Marin?o b، نويسنده , , c، نويسنده ,

  • Issue Information
    ماهنامه با شماره پیاپی سال 2007
  • Pages
    12
  • From page
    1316
  • To page
    1327
  • Abstract
    AWindows-based integrated pesticide transport modeling system (IPTM-CS) has been developed for simulating three-phase (dissolved, adsorbed, and vapor phases) pesticide environmental fate in a canopyesoil system (or in the vadose zone alone). The modeling system integrates pre-processing of data (parameters estimation and input), model run, and post-processing of simulation results (summary tables, Excel spreadsheets, and graphs) in a user-friendly Windows interface. To facilitate parameter estimation, an extensive data supporting system that includes convenient parameter calculators and databases has also been developed and incorporated in the IPTM-CS. The data supporting system also provides links to a number of web-based databases maintained by government agencies and institutions. A time-continuous and space-discrete (TC-SD) method is employed to solve the transport problem and five different solution schemes of varying accuracy and features have been incorporated in the interfaced IPTM-CS. Finally, testing of the IPTM-CS at a field site in Chico, California is presented. Comparison of the simulated and observed diazinon concentrations is conducted for three selected depths (0.15, 0.25, and 0.5 m) and the results are further evaluated by using three methods (linear regression, normalized objective function, and modeling efficiency). The quantitative evaluation indicates that the IPTM-CS yields fairly good simulations.
  • Keywords
    IPTM-CS , transport modeling , Semidiscrete method , Canopyesoil system , Pesticide contamination , vadose zone
  • Journal title
    Environmental Modelling and Software
  • Serial Year
    2007
  • Journal title
    Environmental Modelling and Software
  • Record number

    958764