Science Inventory

Combining Existing Monitoring Sites with a Probability Survey Design-Examples from U.S. EPA's National Coastal Assessment

Citation:

PAUL, J. F., H. A. WALKER, W. B. GALLOWAY, W. B. GALLOWAY, G. G. PESCH, D. J. COBB, C. J. STROBEL, KEVIN K. SUMMERS, M. A. CHARPENTIER, AND J. HELTSHE. Combining Existing Monitoring Sites with a Probability Survey Design-Examples from U.S. EPA's National Coastal Assessment . The Open Environmental & Biological Monitoring Journal. Bentham Science Publishers, Ltd., Ewing Township, NJ, 1:16-25, (2008).

Impact/Purpose:

U.S. Environmental Protection Agency's (EPA's) National Coastal Assessment was envisioned as a research effort led by EPA's Office of Research and Development to evaluate assessment methods for ecosystem condition monitoring.

Description:

U.S. Environmental Protection Agency's (EPA's) National Coastal Assessment was envisioned as a research effort led by EPA's Office of Research and Development to evaluate assessment methods for ecosystem condition monitoring. The program was conducted through strategic partnerships with the coastal states. These states conducted the survey in their waters with a common set of indicators. The resources targeted for initial monitoring were estuarine waters. A flexible probability survey design was used to incorporate, to the extent possible, existing state monitoring program sites. Three criteria were developed to evaluate existing monitoring program sites in the northeastern United States for possible incorporation into the national design: (1) the sites were selected to be representative, (2) the variables sampled at the sites were similar in distribution with variables from a probability design, and (3) the correlation structure of variables was equivalent to that for a probability design. Detailed examples were presented for Long Island Sound water quality sites, New Jersey coastal water quality sites, and Casco Bay, ME, sediment sites to illustrate the approach.

URLs/Downloads:

aedlibrary@epa.gov

Record Details:

Record Type:DOCUMENT( JOURNAL/ PEER REVIEWED JOURNAL)
Product Published Date:05/29/2008
Record Last Revised:10/07/2008
OMB Category:Other
Record ID: 191730