ArticleEnvironmental science and pollution research international2026
Probabilistic comparisons of grey water footprint models for herbicide mixtures in Brazilian sugarcane.
Article in Environmental science and pollution research international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
The grey water footprint (GWF) quantifies freshwater pollution from pesticide use. The H-model relies on regulatory concentration limits, while the P-model uses ecotoxicological endpoints and concentration addition (CA); independent action (IA) across modes of action (MOA) remains underexplored. We present a fully re-verified probabilistic Monte Carlo comparison of CA and HRAC-based IA P-models for 17 herbicides applied to Brazilian sugarcane, built exclusively from traceable, source-cited inputs, including a soil attenuation factor recomputed from first principles and maximum acceptable concentrations compiled from five source tiers. Total grey water footprint is
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