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This article in JEQ

  1. Vol. 39 No. 5, p. 1751-1761
     
    Received: Dec 23, 2009
    Published: Sept, 2010


    * Corresponding author(s): kwon.hoyoung@gmail.com
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doi:10.2134/jeq2009.0509

Modeling of Phosphorus Loads in Sugarcane in a Low-Relief Landscape Using Ontology-based Simulation

  1. Ho-Young Kwon *a,
  2. Sabine Grunwaldb,
  3. Howard W. Beckc,
  4. Yunchul Jungd,
  5. Samira H. Daroube,
  6. Timothy A. Langf and
  7. Kelly T. Morgang
  1. a Soil and Water Science Dep., Institute of Food and Agricultural Sciences, Univ. of Florida, Gainesville, FL 32611
    b Soil and Water Science Dep., Institute of Food and Agricultural Sciences, Univ. of Florida, Gainesville, FL 32611
    c Agricultural and Biological Engineering Dep., Institute of Food and Agricultural Sciences, Univ. of Florida, Gainesville, FL 32611
    d Agricultural and Biological Engineering Dep., Institute of Food and Agricultural Sciences, Univ. of Florida, Gainesville, FL 32611
    e Everglades Research and Education Center, Univ. of Florida, Belle Glade, FL 33430
    f Everglades Research and Education Center, Univ. of Florida, Belle Glade, FL 33430
    g Soil and Water Science Dep. and Southwest Florida Research and Education Center, Univ. of Florida, Immokalee, FL 34142. Assigned to Associate Editor R.W. McDowell

Abstract

Water flow and P dynamics in a low-relief landscape manipulated by extensive canal and ditch drainage systems were modeled utilizing an ontology-based simulation model. In the model, soil water flux and processes between three soil inorganic P pools (labile, active, and stable) and organic P are represented as database objects. And user-defined relationships among objects are used to automatically generate computer code (Java) for running the simulation of discharge and P loads. Our objectives were to develop ontology-based descriptions of soil P dynamics within sugarcane- (Saccharum officinarum L.) grown farm basins of the Everglades Agricultural Area (EAA) and to calibrate and validate such processes with water quality monitoring data collected at one farm basin (1244 ha). In the calibration phase (water year [WY] 99–00), observed discharge totaled 11,114 m3 ha−1 and dissolved P 0.23 kg P ha−1; and in the validation phase (WY 02–03), discharge was 10,397 m3 ha−1 and dissolved P 0.11 kg P ha−1 During WY 99–00 the root mean square error (RMSE) for monthly discharge was 188 m3 ha−1 and for monthly dissolved P 0.0077 kg P ha−1; whereas during WY 02–03 the RMSE for monthly discharge was 195 m3 ha−1 and monthly dissolved P 0.0022 kg P ha−1 These results were confirmed by Nash–Sutcliffe Coefficient of 0.69 (calibration) and 0.81 (validation) comparing measured and simulated P loads. The good model performance suggests that our model has promise to simulate P dynamics, which may be useful as a management tool to reduce P loads in other similar low-relief areas.

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Copyright © 2010. American Society of Agronomy, Crop Science Society of America, Soil Science SocietyAmerican Society of Agronomy, Crop Science Society of America, and Soil Science Society of America