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University of New Orleans

Water Quality Modeling of a Storm Water Channel

Abstract

dc:description.abstract

The fate of nutrients and their relationships in the London Avenue Canal is very complex. This study was undertaken to assess the water quality of the canal in wet and dry weather conditions, and to develop a 2 "“ layer model to predict the response of the canal to storm water discharges. Samples were collected at specific locations and at five different depths during wet and dry weather periods. These were used as background values in the model and for comparing the model output with the actual field results to verify the validity of the model. A 2-layer model has been developed to predict the response time of the system during and after a pumping event. This model has been used to predict various scenarios and the corresponding response times. The results by and large confirm the field data observed for certain parameters.

Degree

thesis:*
Name thesis:degree_name
M.S.
Level thesis:degree_level
Thesis
Discipline thesis:degree_discipline
Civil and Environmental Engineering
Year
2003

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Sangameswaran, Sivaramakrishnan
Contributors dc:contributor
  • McCorquodale, John Alex
  • Kura, Bhaskar
  • Cothren, Gianna

Subjects

dc:subject × 4

Identifiers

dc:identifier.*
Repository record dc:identifier
https://scholarworks.uno.edu/td/35
OAI identifier oai:identifier
oai:scholarworks.uno.edu:td-1034

Chain of custody

source
Harvested from
University of New Orleans
Base URL
scholarworks.uno.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Sangameswaran, Sivaramakrishnan. Water Quality Modeling of a Storm Water Channel. Thesis thesis, 2003. https://scholarworks.uno.edu/td/35