Empirical methodology for estimating entrainment losses at power plants sited on estuaries
Journal Article
·
· Trans. Am. Fish. Soc.; (United States)
- Fish and Wildlife Service, Ann Arbor, MI
A model based on empirically derived age-, time-, and space-varient entrainment susceptibility data may be used for estimating conditional entrainment mortality of aquatic organisms, particularly fish and shellfish, caused by operation of one or more power plants on an estuary. Model application requires knowledge of the morphometry of the water body, the power-plant flow rates, the probability of entrainment survival, and the duration, distribution, and abundance of entrainable age-groups. A novel feature of the model is that organism distribution and movement within the model are defined by information derived from field samples rather than by hydrodynamic principles and equations.
- DOE Contract Number:
- W-7405-ENG-26
- OSTI ID:
- 6780926
- Journal Information:
- Trans. Am. Fish. Soc.; (United States), Journal Name: Trans. Am. Fish. Soc.; (United States) Vol. 110:2; ISSN TAFSA
- Country of Publication:
- United States
- Language:
- English
Similar Records
Impact of entrainment and impingement on fish populations in the Hudson River estuary. Volume I. Entrainment-impact estimates for six fish populations inhabiting the Hudson River estuary
Effect of stochastic variation on estimates of the probability of entrainment mortality: methodology, results, and user's guide. Environmental Sciences Division, Publication No. 1832
Entrainment mortality of ichthyoplankton: detectability and precision of estimates
Technical Report
·
Thu Dec 31 23:00:00 EST 1981
·
OSTI ID:5479728
Effect of stochastic variation on estimates of the probability of entrainment mortality: methodology, results, and user's guide. Environmental Sciences Division, Publication No. 1832
Technical Report
·
Tue Jun 01 00:00:00 EDT 1982
·
OSTI ID:5343274
Entrainment mortality of ichthyoplankton: detectability and precision of estimates
Journal Article
·
Sun Feb 28 23:00:00 EST 1982
· Environ. Manage.; (United States)
·
OSTI ID:5592716