Bioresource and Agricultural Engineering Commons^™

Quantifying Hydrologic Pathway And Source Connectivity Dynamics In Tile Drainage: Implications For Phosphorus Concentrations, Saeid Nazari, William I. Ford, Kevin W. King

Biosystems and Agricultural Engineering Faculty Publications

Flowpathways and source water connectivity dynamics are widely recognized to affect tile-drainage water quality. In this study, we developed and evaluated a framework that couples event-based hydrograph recession and specific conductance end-member mixing analysis (SC-EMMA) to provide a more robust framework for quantifying both flow pathway dynamics and source connectivity of drainage water in tile-drained landscapes. High-frequency (30-min) flow and conductivity data were collected from an edge-of-field tile main located in northwestern Ohio, and the newly developed framework was applied for data collected in water year 2019. Multiple linear regression (MLR) analysis was used to evaluate the impact of pathway-connectivity …