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Journal of Environmental Quality Abstract - Organic Compounds in the Environment

Simulating Pesticide Leaching and Runoff in Rice Paddies with the RICEWQ–VADOFT Model


This article in JEQ

  1. Vol. 32 No. 6, p. 2189-2199
    Received: Oct 7, 2002

    * Corresponding author(s): ettore.capri@unicatt.it
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  1. Zewei Miaoa,
  2. Mark J. Cheplickb,
  3. Martin W. Williamsb,
  4. Marco Trevisana,
  5. Laura Padovania,
  6. Mara Gennaric,
  7. Aldo Ferrerod,
  8. Francesco Vidottod and
  9. Ettore Capri *a
  1. a Istituto di Chimica Agraria ed Ambientale, Università Cattolica del Sacro Cuore, 29100 Piacenza, Italy
    b Waterborne Environmental, Inc., 897-B Harrison Street, S.E. Leesburg, VA 20175
    c DACPA, Sezione di Scienze agrochimiche, University of Catania, Italy
    d Dipartimento Agronomia, Selvicoltura e Gestione del Territorio, Università degli Studi, Torino, Italy


There is a current need to simulate leaching and runoff of pesticide from rice (Oryza sativa L.) paddies for assessing environmental impacts on a valuable agricultural system. The objective of this study was to develop a model for determining predicted environmental concentration (PEC) in soil, runoff, and ground water through the linkage of two models, rice water quality model (RICEWQ) and vadose zone transport model (VADOFT), to simulate pesticide fate and transport within a rice paddy and underlying soil profile. Model performance was evaluated with a field data set obtained from a 2-yr field experiment in 1997 and 1998 in northern Italy. The predictions of amount of pesticide running off from the paddy field and accumulating in the paddy sediment were in agreement with measured values. Leaching into the vadose zone accounted for approximately 19% of the applied dose, but only a small amount of chemical (<0.1%) was predicted to reach ground water at a 5-m depth due to sorption and transformation in the soil. The permeability of the soil and the water management practices in the paddy field were shown to have a strong influence on pesticide fate. These factors need to be well characterized in the field if model predictions are to be successful. The combined model developed in this work is an effective tool for exposure assessments for soil, surface water, and ground water, in the particular conditions of rice cultivation.

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Copyright © 2003. American Society of Agronomy, Crop Science Society of America, Soil Science SocietyASA, CSSA, SSSA