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Published online 1 March 2006
Published in J Environ Qual 35:628-640 (2006)
DOI: 10.2134/jeq2005.0257
© 2006 American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America
677 S. Segoe Rd., Madison, WI 53711 USA
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Impact of Data Quality and Model Complexity on Prediction of Pesticide Leaching

R. L. Danna, M. E. Closea,*, R. Leeb and L. Panga

a Institute of Environmental Science and Research, PO Box 29-181, Christchurch, New Zealand
b Landcare Research NZ Ltd, Private Bag 3127, Hamilton, New Zealand


Figure 1
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  		Fig. 1. Comparison of observed procymidone soil concentration data for LEACHM simulations using optimized, laboratory, and USDA derived sorption and degradation parameters with site derived soil data. Sampling depths were 15 cm on Day 43, 50 cm on Day 149, 60 cm on Day 267, and 1 m on the remaining dates (detection limit = 10–2 mg kg–1). Simulated values below 10–4 are plotted at 10–4.

 

Figure 2
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  		Fig. 2. Comparisons of the range of SSres values (from "best" soil value to "limited" soil quality value) for each of the models run with optimized, USDA, and laboratory (for procymidone) pesticide parameters. Boxes show maximum and minimum range with line through box indicating median value. The term SSres is the sum of squares residual, and Hex, Pro, Pic, and Tri are hexazinone, procymidone, picloram, and triclopyr, respectively.

 

Figure 3
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  		Fig. 3. (a) Comparison of ranges ("best" to "limited") of r2 values for procymidone soil results with each model and each pesticide leaching parameter source, showing better correlations for optimized than laboratory or USDA sourced model results; and (b) a gradient of coefficient of residual mass (CRM) values from low (optimum value of 0) using optimized data to high (near 1) using USDA data.

 

Figure 4
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  		Fig. 4. Comparison of models run with different soil quality inputs using optimized pesticide sorption and degradation data (y axis values are normalized SSres values). The term SSres is the sum of squares residual.

 




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