Quantifying the spatial distribution of soil nutrient movement at the field scale

Our proposed research is to measure soil erosion and runoff in the field and use it to calibrate water runoff models. The approach is twofold: a) Use of field data for to determine runoff rates and nutrient loading and b) use high resolution non-destructive methods to monitor water runoff after a precipitation event through unmanned aerial vehicles (UAV). In this way, data will help to adjust current runoff simulation models, and predict real-life scenarios. These models will accurately portray the effect of conventional agricultural practices in soil architecture and runoff water quality.

Intern: 
Maria Angelica Ouellette;Erin Menzies Pluer
Faculty Supervisor: 
Derek Robinson
Province: 
Ontario
Sector: 
Partner University: 
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