Investigation of the self-cleaning ability of Lake Koumoundourou near Athens from oil pollution

The highly permeable sand and gravel of the Little Miami River Valley Aquifer System near Milford, Ohio provide the community with a high-yielding source of drinking water. While this hydrogeologic setting is ideal from a water quantity standpoint, it is greatly vulnerable to contamination. The future viability of the wellfield came into question when it was discovered that the wellfield was contaminated with volatile organic contaminants, leaving the City with the costly cleanup. Milford's perseverance is also challenged by having to deal with a deteriorating treatment plant. Furthermore, larger water suppliers in the area have threatened the community's independence. The question facing this community, and many other smaller communities, was whether to surrender its independence or invest in their future. The city has decided to keep their wellfield and to conduct a groundwater study. The objectives of the study were to: (a) collect and evaluate hydrogeological data; (b) develop a conceptual model of the groundwater system; (c) construct groundwater flow and geochemical models; (d) delineate wellhead protection area; and (e) develop a comprehensive management program. Collected hydrogeologic data served as a basis for the conceptual model. The U.S. Geological Survey (USGS) three-dimensional groundwater flow model MODFLOW was used in conjunction with MODPATH, a particle-tracking program, to identify travel times and paths of contaminants. This approach ultimately lead to the delineation of the wellhead protection area (WHPA). Geochemical mixing models were constructed using the USGS PHREEQC to verify the flow model results. The use of both flow and geochemical models to delineate the WHPA and to manage groundwater resources is a unique approach. The modeling results provide the City of Milford a management tool in making difficult policy decisions regarding future land use, siting for new monitoring and production wells, and identification of potential pollution sources.