Pesticide transport simulation by SWAP–PEARL (Soil–Water–Atmosphere–Plant and Pesticide Emission Assessment at Regional and Local scales) models can help to predict pesticide leaching at regional scales. For reasons of economic and time efficiency, measurement efforts should be prioritized towards critical parameters. The objective of this research is to perform a Morris screening and Sobol–Jansen sensitivity analysis to SWAP–PEARL models, using a reasonable worst‐case scenario. Three pesticide compounds were analyzed:, bentazon (zero sorption), imidacloprid (moderately sorbed), and compound I (highly sorbed). Initial macropore and pesticide parameter values were varied by ±20% to generate parameter ranges. The outputs analyzed were the concentration in drainage water, the average concentration in groundwater between 1 and 2 m, and the concentration in the soil system at 100‐cm depth. Influential parameters found through the Morris method were analyzed using the Sobol–Jansen method. The results for bentazon indicate that the degradation half‐life (DT50), the bottom depth of the internal catchment (z_ic), and the proportion of the internal catchment at the soil surface (p_{ic_0}) are critical parameters in all the outputs analyzed. For imidacloprid and compound I, the most relevant parameters for drainage output are the Freundlich sorption exponent (F_exp) and z_ic; for groundwater, the relevant parameters are F_exp, the bottom depth of static macropores (z_st), and p_{ic_0}; and for soil concentrations at 100‐cm depth, the relevant parameters are F_exp, z_ic, and p_{ic_0}. The Morris and Sobol–Jansen methods produce the same results for the first position in the ranking. Measurement efforts should be performed to update national soil databases, including critical pesticide and macropore parameters.

中文翻译：

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SWAP–PEARL模型对大孔土壤中农药淋洗的参数敏感性

通过SWAP-PEARL（区域和地方尺度的土壤-水-大气-植物和农药排放评估）模型进行农药运输模拟可以帮助预测地区尺度的农药浸出。出于经济和时间效率的考虑，应优先考虑关键参数的测量工作。本研究的目的是在合理的最坏情况下，对SWAP-PEARL模型进行Morris筛选和Sobol-Jansen敏感性分析。分析了三种农药化合物：苯达松（零吸附），吡虫啉（中等吸附）和化合物I（高度吸附）。初始大孔和农药参数值相差±20％，以生成参数范围。分析的输出为排水中的浓度，地下水中的平均浓度（1-2毫米），以及在100-cm深度的土壤系统中的浓度。使用Sobol–Jansen方法分析了通过Morris方法发现的影响参数。苯达唑的结果表明，降解半衰期（DT50），内部集水区的底部深度（z _ic），土壤表面内部集水的比例（p _{ic_0}）是所有分析输出中的关键参数。对于吡虫啉和化合物I，与排水量最相关的参数是Freundlich吸附指数（F _exp）和z _ic。对于地下水，相关参数为F _exp，静态大孔的底部深度（z _st）和p _{ic_0}。对于100-cm深度的土壤浓度，相关参数为F _exp，z _ic和p _{ic_0}。Morris和Sobol–Jansen方法对于排名第一的位置产生相同的结果。应进行测量工作以更新国家土壤数据库，包括关键农药和大孔参数。