Record Display for the EPA National Library Catalog


OLS Field Name OLS Field Data
Main Title New Jersey Department of Environmental Protection Baseline Studies. Volume I: Overview, Summary, and Application.
CORP Author Geo-Marine, Inc., Plano, TX.; New Jersey Dept. of Environmental Protection, Trenton.
Year Published 2010
Stock Number PB2014-104194
Additional Subjects Wind Power Plants ; Comparative Evaluation ; Ecosystems ; New Jersey ; Environmental Impacts ; Fishes ; Operation ; Regional Analysis ; Seas ; Sound Waves ; Environmental assessment
Library Call Number Additional Info Location Last
NTIS  PB2014-104194 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 07/30/2014
Collation 259p
The State of New Jersey is committed to finding long-term energy solutions and is pursuing alternative energy options. Offshore wind may provide a solution to New Jerseys long-term energy needs. There are limited data and information on the natural resources and their environment occurring in New Jerseys offshore waters, specifically the region being considered for wind turbine development. Geo-Marine, Inc. (GMI) was contracted to conduct a scientific baseline study by the New Jersey Department of Environmental Protection (NJDEP) Office of Science to fill major data gaps for birds, sea turtles, marine mammals, and other natural resources and their environments found in the Study Area. The objective of this study was to conduct baseline studies in waters off New Jerseys coast to determine the current distribution and usage of this area by ecological resources. The goal was to provide GIS and digital spatial and temporal data on various species utilizing these offshore waters to assist in determining potential areas for offshore wind power development. The scope of work includes the collection of data on the distribution, abundance and migratory patterns of avian, marine mammal, sea turtle and other species in the study area over a 24-month period. These data, as well as existing (historical) data, were compiled and entered into digital format and geographic information system (GIS)-compatible electronic files. Those portions of the study area that are more or less suitable for wind/alternative energy power facilities were determined based on potential ecological impact using predictive modeling, mapping, and environmental assessment methodologies.