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Abstract

During the last 15 years, there has been something of a "revolution" in ecosystem modeling. The generality and predictive power of ecosystem models have increased in a remarkable way and a new generation of practically useful models that predict as well as one can measure - if one measures well – have been developed. And yet, they are driven by readily available driving variables and have a general structure that applies to most types of pollutants in aquatic systems. The major reason for this is the Chernobyl accident. Large quantities of radiocesium were released in April/May 1986 as a pulse. To follow that pulse through ecosystem pathways has meant that important fluxes and mechanisms, i.e., ecosystem structures have been revealed and many of these structures and equations are valid not just for radiocesium, but for most types of contaminants. These new models are incorporated in the MOIRA decision support system (DSS). The radiation dose resulting from a contamination may be reduced by suitable countermeasures. The interventions are wide-ranging and can be grouped into three categories: chemical, physical and social countermeasures. MOIRA DSS is a user-friendly, computerized tool that will allow decision makers to choose optimal intervention strategies with different contamination scenarios

Keywords

Ecosystem; Model; Pollutant; Radionuclide; Radiocesium; Radiostrontium; Nuclear Accident; Decision Support System

Published in

Title: JAEA-Conf 2010-003: Proceedings of the meeting and computational and experimental studies for modeling of radionuclide migration in complex aquatic systems
Publisher: Japan Atomic Energy Agency

Conference

Japan Atomic Energy Agency Conference 2010-003: Meeting on Computational and Experimental Studies for Modeling ofRadionuclide Migration in Complex Aquatic Ecosystems

SLU Authors

  • Håkanson, Lars

    • Uppsala University

UKÄ Subject classification

Environmental Sciences and Nature Conservation
Fish and Aquacultural Science

Permanent link to this page (URI)

https://res.slu.se/id/publ/37213