title: Risk management of sediment stress: a framework for sediment risk management research.
abstract: Research related to the ecological risk management of sediment stress in watersheds is placed under a common conceptual framework in order to help promote the timely advance of decision support methods for aquatic resource managers and watershed-level planning. The proposed risk management research program relies heavily on model development and verification, and should be applied under an adaptive management approach. The framework is centered on using best management practices (BMPs), including eco-restoration. It is designed to encourage the development of numerical representations of the performance of these management options, the integration of this information into sediment transport simulation models that account for uncertainty in both input and output, and would use strategic environmental monitoring to guide sediment-related risk management decisions for mixed land use watersheds. The goal of this project was to provide a sound scientific framework based on recent state of the practice in sediment-related risk assessment and management for research and regulatory activities. As a result, shortcomings in the extant data and measurement and modeling tools were identified that can help determine future research direction. The compilation of information is beneficial to the coordination of related work being conducted within and across entities responsible for managing watershed-scale risks to aquatic ecosystems.
authors: US EPA, Office of Research and Development, National Risk Management Research Laboratory, Water Supply Water Resources Division, Water Quality Management Branch, 26W MLK, Cincinnati, Ohio 45268, USA. nietch.christopher@epa.gov
authors: Christopher T
authors: CT
authors: Nietch
authors: Michail
authors: M
authors: Borst
authors: Joseph P
authors: JP
authors: Schubauer-Berigan
mesh_terms: D003247:Conservation of Natural Resources; D003661:Decision Support Techniques; D019015:Geologic Sediments; D008962:Models, Theoretical; D012306:Risk; D045483:Rivers; D014881:Water Supply