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State of New Jersey Department of Environmental Protection
State of New Jersey Department of Environmental Protection
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Hydrology and Hydrogeology

Biological Indicator Development

  • Paleolimnological analysis of nutrient enrichment for criteria development in New Jersey and New York lakes - Final Report
  • Forecasting Algal blooms in Surface Water Systems with Artificial Neural Networks - March 2006
    The original objectives of this study were: 1) to assess the feasibility of using artificial neural networks (ANNs) as a real-time tool or accurately forecasting cyanobacteria counts, more commonly knows as blue-green algae, in surface water systems; 2) through sensitivity analyses conducted with the ANNs, identify critical climate, hydrologic, and water quality factors (i.e. variables) that may influence algae levels; 3) assess the feasibility of using ANNs with formal optimization for optimizing water treatment processes for reducing algae levels; 4) assess and provide guidance for improving data collection/organization for the purpose of improving algae level forecasting capability with the ANN technology.

Water Quality and Chemistry

Atmospheric Deposition
Office of Science
Dr. Gary A. Buchanan, Manager
Mailing Address:
Mail code 428-01, P.O. Box 420
P.O. Box 420
Trenton, NJ 0862

Phone: (609) 984-6070
Fax: (609) 292-7340

For Information regarding this site, please contact Terri Tucker.

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Last Updated: June 11, 2014