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Integrated Water Planning Management 2
Phase 2 of Integrated Water Resource Management (formerly known as Integrated Water Resource Management).
Phosphorus Reduction Strategy for Inland Non-tidal Waters
Phosphorus Reduction Strategy for Inland Non-tidal Waters
Phosphorus PA12-155 Coordinating Committee and Workgroup Proceedings
2019 Triennial Review of the Connecticut Water Quality Standards
Presentations, Comments and Summaries from two PA 12-155 Public Meetings
Stressor Identification and Causal Assessment Work
Stressor identification involves defining and listing possible sources of pollution, evaluating existing data, designing a sampling program to bracket the sources if additional data are needed, characterizing the causes, and, finally, identifying the most probable cause.
Riffle Bioassessment by Volunteers (RBV) Program
The Riffle Bioassessment by Volunteers program (RBV) is a statewide volunteer water quality monitoring program coordinated by the CT DEEP Bureau of Water Protection & Land Reuse. Each fall RBV volunteers participate in a ‘treasure hunt’ to find Connecticut’s healthiest streams. To accomplish this, RBV volunteers are trained to collect ‘macroinvertebrates,’ or ‘river bugs' from their local rivers and streams. Depending on the types of macroinvertebrates that volunteers find in a stream, the CT DEEP can assess it as a healthy stream.
Water Temperature Monitoring Project
Water temperature is very important to aquatic organisms as it can drive chemical reactions and physiological activity. In addition, water temperature is an important factor in determining which species of aquatic organisms, such as fish, are able to live in a particular section of river or stream. The Water Monitoring Group routinely monitors water temperature at wadeable river and stream locations across Connecticut. Data are collected to complement routine and probabilistic ambient biological monitoring data, to identify high quality watersheds as part of the Group’s Healthy Watersheds Initiative, and to support evaluation of temporal trends, quantification of natural variability, and testing of hypotheses and predictive models related to climate change and water resource management.