The Effect of Climate Change on the Net Benefits of Tile Drainage Systems in Southern Ontario: A Spatial Stochastic Simulation

Sirrs, Lauren
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University of Guelph

In this thesis, I explore the relationship between climate change and the benefit of drainage. I present primary interview data and a spatial stochastic drainage simulation model. I found the effect of drainage on yield is larger for corn than soybeans. The costs and benefits of drainage depend on the capacity of the system (measured by the drainage coefficient). I compare a commonly installed drainage coefficient (25.4 mm/day) to a drainage coefficient of 57.2 mm/day. For the climate change scenarios (in comparison to the base scenario), a drainage coefficient of 57.2 mm/day becomes relatively more preferable in to 25.4 mm/day. For the highest intensity of precipitation scenario, 57.2 mm/day resulted in a higher median present value of net benefits (pvnb). For the lowest intensity scenario, 25.4 mm/day resulted in a higher median pvnb. Since the intensity variable is a proxy for precipitation, further research is required for specific recommendations.

drainage, economics, climate change, adaptation, tile drainage, drainage coefficient, damage control input, ontario, corn, soybean, yield, revenue, net benefit, excess water, drainage coefficient, agriculture, cost