Map Information:

Map Title:
Density of Drinking Water Contaminants
Name(s) of Author(s):
Will Bogetti
Organization:
Burlington County
Email Address:
wbogetti@co.burlington.nj.us
Telephone Number:
609-265-5431
Software Used to Make Map:
ArcMap
Platform on Which
Software Was Used:
Windows XP Professional
Plotter Used to Print Map:
HP DesignJet 1055CM
Data Sources:

Burlington County

Map Description:

New Jersey residents have a right to know that the water they drink is clean and healthy. Beginning on September 16, 2002 New Jersey's Private Well Testing Act requires that sampling of private drinking water wells is conducted for contamination whenever a property is sold. It is estimated that 20,000 to 30,000 real-estate transactions occur per year. Before closings, both buyer and seller must certify in writing that the tests were performed and that the results were shared with the parties. People will receive their well test results on a standardized form, which will also provide them information about options for correcting a well-contamination problem. About 12 percent of New Jersey residents receive their drinking water from private wells.

A laboratory certified by the New Jersey Department of Environmental Protection in drinking water methods must perform the tests, which are estimated to cost between $450 and $650. Laboratories performing drinking water analyses will be required to submit all sampling data to DEP electronically. The law and regulations require the DEP to report all test failures to county health officials, or in some cases, municipal health officials, within five days. The testing provides environmental and health agencies with data about ground water in areas that may require additional investigation.

Using the electronically submitted data the test failures were digitized against the Burlington County Department of Information Technology, GIS Section, tax parcel information. After several years of compiling testing result data, it was determined that the distribution of the failed testing results formed a highly clustered pattern across the county. This was discovered using the average nearest neighbor spatial statistics tool. Knowing this information the kernel density of the failed locations was ascertained using the kernel density spatial analysts tools. The areas of high density indicate areas where further investigation may be needed to ensure the quality of the ground water is safe for consumption.