Adaptive Implementation of Water Quality Improvement Plans: Opportunities and Challenges

Abstract

This report describes approaches for utilizing Adaptive Implementation (AI) in the face of uncertainty related to data, models, pollutant loads, the impacts of controls, and uses and criteria. The report's scope extends to the applicability of AI for promoting water quality improvement outside of the TMDL program. The report describes the current water quality management process in order to set the stage for proposing ways to bring AI to water quality management. Published by Duke University in cooperation with WERF and other organizations. 94 pages. Online PDF

Originally funded as WERF project 03-WSM-4CO.

Resources

Public Plus

Adaptive Implementation of Water Quality Improvement Plans: Opportunities and Challenges

Report

#3WSM4COPDF

06/28/2004

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Adaptive Implementation of Water Quality Improvement Plans: Opportunities and Challenges

Abstract

Resources

Adaptive Implementation of Water Quality Improvement Plans: Opportunities and Challenges

Nutrient Management Volume III: Development of Nutrient Permitting Frameworks

Nutrient Management: Regulatory Approaches to Protect Water Quality. Volume 1 - Review of Existing Practices

Nitrogen Credit Trading in Maryland: A Market Analysis for Establishing a Statewide Framework

Autonomous in situ Monitoring of Harmful Algal Blooms

Nitrogen Reduction Solutions for Ocean Discharges: Development of Sensors and Controls to Support the Implementation of Mainstream Shortcut Nitrogen Removal (SCNR) Processes

Unlocking the Advantages of Internally Stored Carbon for Nutrient Removal

Transforming Aeration Energy in Water Resource Recovery Facilities (WRRFs) through Suboxic Nitrogen Removal - Part 3