This work presents an evaluation of maize field trials that were conducted with micro-dams (i.e. small earthen dams between the rows; aka “furrow diking”, “furrow damming” etc.) and/or conservation tillage to investigate the effects on the reduction of runoff and erosion. The trials were simulated using the model PRZM over the complete vegetation period and runoff curve numbers (CN) as well as parameter values of the MUSS erosion equation (a relative adaption of the C-factor) were inversely estimated. Based on this data, a robust case can be made to lower CN or adapt parameters in the MUSS equation for surface water exposure scenarios to investigate the effect on EECs (estimated environmental/ecological concentration).  In Table 1, an example calculation for the IL corn scenario using the USEPA Pesticide Water Calculator (PWC) is presented with and without application of the derived parameter values.  Discussion will focus on the importance of these risk mitigation measures to reduce off-field emissions to the aquatic environment and support their application in regulatory surface water exposure calculations with e.g. PWC, as proposed e.g. by the MAgPIE workshop.

Inverse estimation of run-off and erosion model parameters for in-field risk mitigation measures and consideration in aquatic exposure assessments

ACS Fall 2021

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