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Despite broad public attention, surface water nutrient pollution from the Maumee River basin continues to be the largest contributor to the eutrophication of Lake Erie. A major impediment to nutrient management policy is that pollution sources are highly scattered across a complex stream network. These sources include inorganic fertilizers and manures applied to crop fields, runoff from intensive livestock farms, eroded soil, and wastewater treatment plants. While prior work has engaged in basin-scale attributions of pollutant sources, source attribution at finer spatial and temporal scales remains a major challenge, particularly for environmental policy and enforcement. This study addresses this challenge by developing a novel network modeling approach for subbasin-scale nutrient source attribution. We construct the network model for streamflow nutrient transport using USGS flowline data (NHDPlus) and …