Chemosphere ( IF 5.778 ) Pub Date : 2021-02-22 , DOI: 10.1016/j.chemosphere.2021.130014 Céline Gentil-Sergent; Claudine Basset-Mens; Juliette Gaab; Charles Mottes; Carlos Melero; Peter Fantke
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The inventory model ‘PestLCI Consensus’, originally developed for temperate conditions, estimates initial pesticide emission fractions to air, to off-field surfaces by drift deposition, and to field crop and field soil surfaces according to crop foliar interception characteristics. Since crop characteristics and application techniques differ in tropical conditions, these aspects need to be included in the model in support of evaluating pesticide emissions under tropical conditions.
Based on published literature, a consistent set of crop foliar interception fractions was developed as function of crop characteristics and spraying techniques for tropical crops. In addition, we derived drift deposition fractions from published drift experiments specifically conducted under tropical conditions. Finally, we compiled a consistent set of pesticide emission fractions for application in life cycle assessment (LCA).
Foliar interception fractions are strongly influenced by the spraying technique, particularly for hand-operated applications. Drift deposition fractions to off-field surfaces were derived for air blast sprayer on papaya and coffee, for boom sprayer on bean and soybean, for aerial application on soybean, sorghum, millet, corn and cotton, and for hand-operated application on cotton. Emission fractions vary for each combination of crop and application method. Drift deposition curves for missing crop-application method combinations can only partly be extrapolated from the set of considered combinations.
Overall, our proposed foliar interception fractions and drift deposition fractions for various crops grown under tropical conditions allow to estimate pesticide emissions in support of assessing the environmental performance of agrifood systems in LCA with focus on tropical regions.
中文翻译:

量化热带条件下的农药排放分数
清单模型“ PestLCI共识”最初是针对温带条件开发的,它根据作物的叶面拦截特性,估算了农药向空气,野外表面(通过漂移沉积)以及田间作物和田间土壤表面的初始农药排放分数。由于热带条件下作物的特性和应用技术不同,因此需要将这些方面包括在模型中以支持评估热带条件下的农药排放。
根据已发表的文献,开发了一套一致的农作物叶面截留组分集,作为农作物特性和热带作物喷洒技术的函数。此外,我们从专门在热带条件下进行的已发表的漂移实验中得出了漂移沉积分数。最后,我们汇编了一套一致的农药排放分数,用于生命周期评估(LCA)。
叶面截留率受喷涂技术的影响很大,特别是对于手动操作的应用。番木瓜和咖啡的鼓风喷雾器,豆类和大豆的动臂喷雾器,大豆,高粱,小米,玉米和棉花的空中应用,以及棉花的手动操作,都可以得出到野外表面的漂移沉积分数。排放分数因作物和施用方法的每种组合而异。缺少的作物施用方法组合的漂移沉积曲线只能从所考虑的组合中部分推算出来。
总体而言,我们针对热带条件下种植的各种农作物提出的叶面截留率和漂移沉降率可以估算农药排放,以支持评估LCA中以热带地区为重点的农业食品系统的环境绩效。