Record Display for the EPA National Library Catalog

RECORD NUMBER: 19 OF 242

OLS Field Name OLS Field Data
Main Title AQUATOX (Release 3) Modeling Environmental Fate and Ecological Effects in Aquatic Ecosystems. Volume 2: Technical Documentation.
CORP Author Environmental Protection Agency, Washington, DC. Office of Science and Technology.
Year Published 2009
Report Number EPA/823/R-09/004
Stock Number PB2010-102580
Additional Subjects Ecology ; Acquatic ecosystems ; Environmental effects ; Computer models ; Pollutants ; Water quality ; Nutrients ; Chemicals ; Pesticides ; Hydrology ; Ecosystems ; Technical documentation ; Watersheds ; Environmental factors ; AQUATOX computer model ; Ecological risk assessment models
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB2010-102580 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 09/14/2010
Collation 339p
Abstract
The AQUATOX model is a general ecological risk assessment model that represents the combined environmental fate and effects of conventional pollutants, such as nutrients and sediments, and toxic chemicals in aquatic ecosystems. It considers several trophic levels, including attached and planktonic algae and submerged aquatic vegetation, invertebrates, and forage, bottom-feeding, and game fish; it also represents associated organic toxicants. It can be implemented as a simple model (indeed, it has been used to simulate an abiotic flask) or as a truly complex food-web model. Often it is desirable to model a food web rather than a food chain, for example to examine the possibility of less tolerant organisms being replaced by more tolerant organisms as environmental perturbations occur. Food web models provide a means for validation because they mechanistically describe the bioaccumulation process and ascribe causality to observed relationships between biota and sediment or water. The best way to accurately assess bioaccumulation is to use more complex models, but only if the data needs of the models can be met and there is sufficient time.