Dynamic grey water footprint and aggregation factor of herbicide mixtures in Brazilian sugarcane: model code, data and results

Model code, input data, numerical results and figures supporting the manuscript ‘Dynamic grey water footprint and aggregation factor of herbicide mixtures in Brazilian sugarcane from a periodic fugacity model’ and its theoretical companion, deposited separately at https://doi.org/10.5281/zenodo.23763426 The grey water footprint of a pesticide mixture is normally reported as one annual volume, a number that treats a cubic metre of assimilative capacity in January as interchangeable with one in July. This deposit holds the code and the results of deriving it instead as a periodic dilution flow rate, from a Level IV fugacity model with a straw mulch compartment, applied to the seventeen herbicides registered for Brazilian sugarcane harvested without burning, in the soils and climates of the two producing regions. The quantity of practical interest is the aggregation factor, the ratio of the peak of a moving average of the dilution requirement to its annual mean, which converts a published annual footprint into the instantaneous requirement that an aquatic quality criterion actually imposes. The lookup tables are the deliverable most readers will want: they correct a published annual footprint over the straw loads and application dates a mill can choose between, without running anything. Also included are the 900 paired Monte Carlo draws behind the reported percentiles and sensitivities, the compiled fate and ecotoxicity coefficients with their sources, and a consistency guard that reports the silent failure modes of a deposit of this shape: a file duplicated under a misleading name, and a result older than the model version that produced it.