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Ohio EPA Has the Data about Our Water

Ohio EPA Has the Data about Our Water

Ground Water Quality Characterization Program

As the designated state water quality management agency, Ohio EPA is responsible for defining and reporting on ambient ground water quality conditions, assessing ground water quality problems and recommending strategies for preventing contamination. Good information on past and present ambient ground water quality, the extent of ground water contamination problems and the relationship of land-use practices to ground water quality is critical to developing effective strategies to prevent ground water contamination. To provide this water quality data, the Ground Water Quality Characterization Program collects and reviews water quality data.

Ohio’s Ambient Ground Water Monitoring Network

Installing a ground water probe to collect samples

Ohio EPA Division of Drinking and Ground Waters maintains the Ambient Ground Water Monitoring Network as part of an effort to characterize general water quality conditions in Ohio. This program was established in 1967 to measure seasonal and annual water quality changes in the state’s major aquifers. The network initially consisted of 12 large production wells, and was expanded to 60 wells in 1972. In 1986, the network was further expanded to around 90 wells. A large number of public water supply wells were added to the network in the late 1980s and early 1990s to provide better representation of the major aquifers in Ohio.

§  Ambient Ground Water Quality Monitoring Program: History and Description of Program

The program currently includes over 200 wells (stations). Of the total stations, roughly 85 percent are public water systems and 15 percent are industrial or commercial enterprises or residential. Raw water is analyzed for a suite of inorganic parameters every six, 18 or 36 months depending on the total number of samples that have been collected and the stability of the geochemistry of major elements at the site. Samples are also analyzed for volatile organic compounds once every 18 or 36 months. Some ambient sites have historical semi-volatile organic compounds and pesticide data.

Locational and lithologic information have been compiled for all of the more than 200 ambient wells for effective geochemical and Geographical Information System (GIS) analysis. Two-thirds of the wells in the ambient network are developed in unconsolidated deposits and the remaining produce from bedrock aquifers systems.

A central goal of the Ambient Ground Water Monitoring Program is to provide reliable ground water quality data to enhance water resource planning and protection on a state-wide basis. This is consistent with the Division of Drinking and Ground Waters’ mission to protect human health and the environment by characterizing and protecting ground water quality and ensuring that Ohio’s public water systems provide adequate supplies of safe drinking water.

Ambient Ground Water Monitoring Locations and Water Quality Data

An interactive map of the ambient monitoring well locations has been developed. This application allows the user to zoom into an area in Ohio and click on a monitoring location. Information such as water quality summary reports and time series analyses for each monitoring location can be obtained from this site.

§  Ambient Ground Water Monitoring Well Locations (interactive map)

This link will take you to the Ohio map showing all the wells that are monitored.

Follow the instructions or enter the location of interest in the search box in the upper left.

Licking County has six wells that are monitored in the major aquifers:

·        Buckeye Lake

·        Granville

·        Hanover

·        Heath

·        Pataskala

·        Utica













(Sorry, couldn’t copy the map background.)


Zoom in on a specific well, click and get the details for that well.


At the bottom of the well details are links to years of data.

Inorganic Compounds

Tabular data


Organic Compounds

Tabular data


Time Series details
















To start your delving into the data, start at the link:

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