Scorza Júnior Rômulo P, Jarvis Nicholas J, Boesten Jos Jti, van der Zee Sjoerd Eatm, Roulier Stéphanie
Embrapa Agropecuária Oeste, Caixa Postal 661, CEP 79804-970 Dourados, MS, Brazil.
Pest Manag Sci. 2007 Oct;63(10):1011-25. doi: 10.1002/ps.1434.
Testing of pesticide leaching models against comprehensive field-scale measurements is necessary to increase confidence in their predictive ability when used as regulatory tools. Version 5.1 of the MACRO model was tested against measurements of water flow and the behaviour of bromide, bentazone [3-isopropyl-1H-2,1,3-benzothiadiazin-4(3H)-one-2,2-dioxide] and imidacloprid [1-(6-chloro-3-pyridylmethyl)-N-nitroimidazolidin-2-ylideneamine] in a cracked clay soil. In keeping with EU (FOCUS) procedures, the model was first calibrated against the measured moisture profiles and bromide concentrations in soil and in drain water. Uncalibrated pesticide simulations based on laboratory measurements of sorption and degradation were then compared with field data on the leaching of bentazone and imidacloprid. Calibrated parameter values indicated that a high degree of physical non-equilibrium (i.e. strong macropore flow) was necessary to describe solute transport in this soil. Comparison of measured and simulated bentazone concentration profiles revealed that the bulk of the bentazone movement in this soil was underestimated by MACRO. Nevertheless, the model simulated the dynamics of the bentazone breakthrough in drain water rather well and, in particular, accurately simulated the timing and the concentration level of the early bentazone breakthrough in drain water. The imidacloprid concentration profiles and its persistence in soil were simulated well. Moreover, the timing of the early imidacloprid breakthrough in the drain water was simulated well, although the simulated concentrations were about 2-3 times larger than measured. Deep groundwater concentrations for all substances were underestimated by MACRO, although it simulated concentrations in the shallow groundwater reasonably well. It is concluded that, in the context of ecotoxicological risk assessments for surface water, MACRO can give reasonably good simulations of pesticide concentrations in water draining from cracking clay soils, but that prior calibration against hydrologic and tracer data is desirable to reduce uncertainty and improve accuracy.
将农药淋溶模型与全面的田间尺度测量结果进行对比测试,对于增强其作为监管工具时预测能力的可信度而言是必要的。MACRO模型的5.1版本针对开裂黏土中水流以及溴化物、苯达松[3-异丙基-1H-2,1,3-苯并噻二嗪-4(3H)-酮-2,2-二氧化物]和吡虫啉[1-(6-氯-3-吡啶基甲基)-N-硝基咪唑烷-2-亚基胺]行为的测量结果进行了测试。按照欧盟(FOCUS)程序,该模型首先根据测得的土壤及排水中的水分剖面和溴化物浓度进行了校准。然后,将基于吸附和降解实验室测量结果的未校准农药模拟结果与苯达松和吡虫啉淋溶的田间数据进行了比较。校准后的参数值表明,需要高度的物理非平衡状态(即强大孔隙流)来描述该土壤中的溶质运移。实测和模拟的苯达松浓度剖面比较表明,MACRO低估了该土壤中苯达松的大部分运移情况。尽管如此,该模型较好地模拟了排水中苯达松突破的动态过程,特别是准确模拟了排水中苯达松早期突破的时间和浓度水平。吡虫啉的浓度剖面及其在土壤中的持久性模拟得较好。此外,虽然模拟浓度比实测值大约高2 - 3倍,但排水中吡虫啉早期突破的时间模拟得较好。MACRO低估了所有物质的深层地下水浓度,不过它对浅层地下水浓度的模拟较为合理。得出的结论是,在对地表水进行生态毒理学风险评估的背景下,MACRO能够对开裂黏土排水中的农药浓度给出较为良好的模拟结果,但需要事先根据水文和示踪数据进行校准,以减少不确定性并提高准确性。