Passive sampling in contaminated sediment assessment: Building consensus to improve decision making

2014 ◽  
Vol 10 (2) ◽  
pp. 163-166 ◽  
Author(s):  
Thomas F Parkerton ◽  
Keith A Maruya
Keyword(s):  
Decision Making ◽  
Passive Sampling ◽  
Contaminated Sediment ◽  
Sediment Assessment

scholarly journals Model‐Supported Decision‐Making at a Contaminated Sediment Site: Post‐Audit and Site Closure

2021 ◽  
Author(s):  
David Glaser ◽  
Kevin Russell ◽  
James Rhea ◽  
Wen Ku ◽  
Deirdre Reidy ◽  
...  
Keyword(s):  
Decision Making ◽  
Contaminated Sediment

A Management Strategy for Contaminated Sediment: Assessment and Remediation

1992 ◽  
Vol 27 (4) ◽  
pp. 871-882 ◽  
Author(s):  
M.A. Zarull ◽  
T.B. Reynoldson
Keyword(s):  
Management Strategy ◽  
Problem Definition ◽  
Contaminated Sediment ◽  
Assessment Data ◽  
Technical Problems ◽  
Complete Problem ◽  
Sediment Assessment ◽  
Toxic Organics ◽  
Areas Of Concern ◽  
River Mouths

Abstract Sediment contaminated with metals, persistent toxic organics and nutrients represents a significant concern throughout the Great Lakes. The highest levels of sediment-associated contaminants and some of the worst manifestations of their resultant problems are found in the urban-industrial harbours, embayments and river mouths. These “Areas of Concern” require complete problem definition and remediation of all impaired uses. However, our ability to fully remediate contaminated sediments in these nearshore areas is limited by the availability of proven technology, adequate assessment data and suitable restoration goals. All of these requirements are currently in the research, development and demonstration phases. Each of these is discussed in the context of their technical problems and further research needs and development directions are indicated.

Sediment Management: Ecological and Ecotoxicological Effects Must Direct Actions

2001 ◽  
Vol 36 (3) ◽  
pp. 367-376 ◽  
Author(s):  
Gail Krantzberg ◽  
Michael A. Zarull ◽  
John H. Hartig
Keyword(s):  
Action Plan ◽  
Management Strategies ◽  
Data Interpretation ◽  
Sediment Management ◽  
Biological Information ◽  
Sediment Chemistry ◽  
Contaminated Sediment ◽  
International Joint Commission ◽  
Sediment Assessment ◽  
Beneficial Uses

Abstract The need for guidance on the bioassessment and management of contaminated sediment has been articulated by Remedial Action Plan practitioners, the International Joint Commission, scientists, and managers in many jurisdictions. Encouragingly, a convergence of opinion, on what constitutes a comprehensive sediment assessment, is beginning. However, there continues to be a need for methods to interpret and integrate multiple pieces of information on sediment chemistry, biological information from field monitoring and laboratory sediment bioassessment in an ecologically meaningful way. This paper recommends an approach to comprehensive sediment bioassessment that is driven by the need to rehabilitate “beneficial uses” as described in the Great Lakes Water Quality Agreement. The paper also highlights advances in data interpretation that are facilitating he development of sediment management strategies.

A Decision Making Framework for Sediment Assessment Developed for the Great Lakes

2002 ◽  
Vol 8 (7) ◽  
pp. 1641-1655 ◽  
Author(s):  
Lee Grapentine ◽  
Janette Anderson ◽  
Duncan Boyd ◽  
G. Allen Burton ◽  
Conrad DeBarros ◽  
...  
Keyword(s):  
Decision Making ◽  
Great Lakes ◽  
Sediment Assessment ◽  
Decision Making Framework

Discarding optimality: Throwing out the baby with the bathwater?

2018 ◽  
Vol 41 ◽  
Author(s):  
Patrick Simen ◽  
Fuat Balcı
Keyword(s):  
Decision Making ◽  
Perceptual Decision Making ◽  
Reward Rate ◽  
Perceptual Decision ◽  
Standard Observer ◽  
Rate Maximization ◽  
Reward Rate Maximization ◽  
Descriptive Standard ◽  
Observer Model

AbstractRahnev & Denison (R&D) argue against normative theories and in favor of a more descriptive “standard observer model” of perceptual decision making. We agree with the authors in many respects, but we argue that optimality (specifically, reward-rate maximization) has proved demonstrably useful as a hypothesis, contrary to the authors’ claims.

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