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农药根区模型3.12的比较:淋溶预测与田间数据

Comparison of pesticide root zone model 3.12: leaching predictions with field data.

作者信息

Russell Mark H, Jones Russell L

机构信息

DuPont Crop Protection, Stine-Haskell Research Center, Newark, Delaware 19714-0030, USA.

出版信息

Environ Toxicol Chem. 2002 Aug;21(8):1552-7.

Abstract

As part of a process to improve confidence in the results of regulatory modeling, predictions of the pesticide root zone model (PRZM) 3.12 were compared with measured data collected in nine different field leaching studies. Reasonable estimates of leaching were obtained with PRZM 3.12 in homogeneous soils where preferential flow is not significant. The PRZM 3.12 usually did a good job of predicting movement of bromide in soil (soil and soil pore-water concentrations were generally within a factor of two of predicted values). For simulations based on the best choices for input parameters, predictions of soil pore-water concentrations for pesticides were usually within a factor of three and soil pore-water estimates within a factor of 11. When the model input parameters were calibrated to improve the simulation of hydrology, predicted pesticide concentrations in soil pore water were usually within a factor of two of measured concentrations. Because of the sensitivity of leaching to degradation rate, the most accurate predictions were obtained with pesticides with relatively slow degradation rates. When conservative assumptions were used to define input pesticide parameters, predictions of pesticide concentrations were usually a factor of two greater than when using the best estimate of input parameters without any built-in conservatism.

摘要

作为提高对监管模型结果信心的过程的一部分,将农药根区模型(PRZM)3.12的预测结果与在九项不同田间淋溶研究中收集的实测数据进行了比较。在优先流不显著的均质土壤中,PRZM 3.12对淋溶进行了合理估计。PRZM 3.12通常能很好地预测土壤中溴化物的移动(土壤和土壤孔隙水浓度通常在预测值的两倍范围内)。对于基于输入参数最佳选择的模拟,农药土壤孔隙水浓度的预测通常在三倍范围内,土壤孔隙水估计值在11倍范围内。当对模型输入参数进行校准以改进水文模拟时,土壤孔隙水中预测的农药浓度通常在实测浓度的两倍范围内。由于淋溶对降解速率敏感,对于降解速率相对较慢的农药,能获得最准确的预测。当使用保守假设来定义输入农药参数时,农药浓度的预测通常比使用无任何固有保守性的输入参数最佳估计值时高出两倍。

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