Parameter estimation through inverse modelling and comparison of four leaching models using experimental data from two contrasting pesticide field trials in New Zealand
A. K. Sarmah A D , M. E. Close B , R. Dann B , L. Pang B and S. R. Green CA Landcare Research NZ Ltd, Private Bag 3127, Hamilton, New Zealand.
B Institute of Environmental Science and Research, PO Box 29-181, Christchurch, New Zealand.
C HortResearch, Private Bag 11-030, Palmerston North, New Zealand.
D Corresponding author. Email: sarmahA@LandcareResearch.co.nz
Australian Journal of Soil Research 44(6) 581-597 https://doi.org/10.1071/SR05163
Submitted: 12 October 2005 Accepted: 7 June 2006 Published: 15 September 2006
Abstract
Predicting pesticide fate with a reasonable degree of precision using mathematical models requires a good choice of parameter values. When experimentally derived values are not readily available, or need to be measured individually for each compound through systematic laboratory experiments, the process not only becomes too time-consuming, but also may not yield reliable parameters due to the uncertainties encountered with laboratory measurements. The inverse modelling technique has therefore become an important tool in recent times, allowing calibration of models against experimental data and thus alleviating the lack of exactness, reproducibility, and objectivity often associated with laboratory-derived data and trial–error simulation. In this study, we used the inverse modelling package PEST interfaced with the GLEAMS, HYDRUS-1D, and LEACHM models to derive field-based mobility and degradation parameters for a selected number of pesticides, along with a bromide tracer, applied to 2 contrasting field sites in the south island of New Zealand. Given the broad range in soil properties at both sites and the climatic conditions (one drier than the other) used in testing, the models performed well. Based on the performance of the models, they can be ranked in the order LEACHM > HYDRUS-1D > GLEAMS. Bromacil appeared to be the most mobile among the compounds at both sites as well as having a greater persistency, followed by hexazinone and terbuthylazine, based on their optimised Koc values at the sites. For bromacil, median optimised Koc values were 22 and 35 mL/g at Nelson and Southland sites, respectively (compared with a best available value of 14 mL/g). However, T1/2 values for bromacil were much lower than the available best literature value of 207 days. The median Koc values for terbuthylazine were 114 and 87 mL/g at Nelson and Southland sites, respectively. These values were much lower than the best available literature value of 220 mL/g, and fall below the literature range (162–278 mL/g for terbuthylazine).
Additional keywords: models, simulation, bromide, bromacil, hexazinone, terbuthylazine.
Acknowledgments
The authors thank Evan Baigent of Wakefield (Nelson), and Kevin Knowler of AgResearch (Woodlands), Southland, for site access. We thank Danny Thornburrow and Janine Ryburn (Landcare Research), Gordon Curnow and Tom Kennedy (Tasman District Council), and Jim Risk (Environment Southland) for assistance with the field work. The research was funded by contracts CO9X0017 (Landcare Research) and CO3X0303 (ESR) from the Foundation for Science, Research and Technology (New Zealand).
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