Published 1988 | Version v1
Book

Building-wake diffusion

  • 1. Pacific Northwest Lab., Richland, WA (USA)

Description

A recent review of building-wake diffusion models compares model predictions of centerline concentrations in building wakes with concentrations observed in experiments at seven nuclear reactors. In general, the model predictions are conservative in that they tend to predict concentrations that are greater than those actually observed. However, the models show little skill in accounting for variations in the observed concentrations. Analysis of experimental data indicates that the general form of the standard wake diffusion models is inconsistent with observed variations of concentrations in the wakes. The inconsistency is especially marked for ground-level releases. As an interim measure, multiple linear regression techniques have been used to develop a statistical building-wake model alternative to the current models. This paper describes the statistical wake model and compares it with other models

Additional details

Publishing Information

Publisher
American Meteorological Society.
Imprint Place
Boston, MA (USA)
Imprint Title
Proceedings of the sixth joint conference on applications of air pollution meteorology
Imprint Pagination
285 p.
Journal Page Range
p. 150-153.

Conference

Title
6. joint conference on applications of air pollution meteorology.
Dates
29 Jan - 3 Feb 1989.
Place
Anaheim, CA (USA).

INIS

Country of Publication
United States
Country of Input or Organization
United States
INIS RN
22059749
Subject category
S54: ENVIRONMENTAL SCIENCES;
Resource subtype / Literary indicator
Conference
Descriptors DEI
AIR POLLUTION; BUILDINGS; DATA PROCESSING; FISSION PRODUCT RELEASE; FISSION PRODUCTS; MATHEMATICAL MODELS; MONITORING; POWER REACTORS; RADIOECOLOGICAL CONCENTRATION; REGRESSION ANALYSIS; WAVE PROPAGATION
Descriptors DEC
ECOLOGICAL CONCENTRATION; ISOTOPES; MATERIALS; MATHEMATICS; POLLUTION; RADIOACTIVE MATERIALS; REACTORS; STATISTICS

Optional Information

Secondary number(s)
CONF-890133--.