Watershed Assessment of Nutrient Loads to the Detroit River
The University of Michigan is completing a modeling project to characterize nutrient loads to the Detroit River and then compare the efficacy of different management options.
The University of Michigan is completing a modeling project to characterize nutrient loads to the Detroit River and then compare the efficacy of different management options.
NOAA's Great Lakes Environmental Research Lab (GLERL) compiled information on their modeling and research on HABs and hypoxia.
Ohio Sea Grant performs a wide range of research, outreach, and education on Lake Erie harmful algal blooms.
The Pennsylvania Office of the Great Lakes webpage hosts information on their programming. The PA Office of the Great Lakes conducts extensive water quality monitoring of Lake Erie and its tributaries, and coordinates with other state, county, and local government entities, as well as non-governmental organizations, to develop policies and programs that reduce pollutants and support public health.
Michigan Agriculture Environmental Assurance Program (MAEAP) is a voluntary program that teaches land stewardship to producers in Michigan. It is Michigan's largest tool to assist in the implementation of agricultural pollution prevention practices on farms.
The Natural Resources Conservation Services (NRCS) program encourages implementation of practices that reduce phosphorus loadings from farms.
A mobile friendly view of real-time water quality data. The latest NOAA cyanobacterial index image is also available.
The Centers for Disease Control and Prevention (CDC) compiled information on illnesses associated with HABs.
The Ohio Lake Erie Phosphorus Task Force Phase II effort built on the work of the 2010 Phase I report by incorporating newly available information and including more stakeholders with additional areas of expertise. The purpose of Phosphorus Task Force Phase II is to 1) develop reduction targets for total and dissolved reactive phosphorus that can be used to track future progress, and 2) develop policy and management recommendations based upon new and emerging data and information.