Probabilistic approach to TMDL analysis for urban stormwater quality control.
Published: 2004
Language: eng
Number of pages: 198
Description: In recent years, the issue of receiving water protection from pollution by urban stormwater discharges has gained in importance. This work examines the basic processes and functions behind urban stormwater pollution delivery into surface waters and develops a set of tools that allow the estimation of pollutant load dynamics on receiving waters and the generation of statistics of pollutant(s) concentration in stormwater runoff and in the receiving water mixing zone. A flexible Monte Carlo based methodology allows the performance of water quality simulations with varying levels of complexity. Additional provisions are developed for the incorporation of various source control and downstream control facilities into the simulation algorithm. A range of currently employed methods for the interpretation of probabilistic results and their use in the estimation of maximum allowable pollutant load on surface waters is reviewed. A hypothetical case study illustrates the benefits of a proposed methodology.
Notes: Adviser:  B. J. Adams.

Thesis (M.A.Sc.)--University of Toronto, 2004.

Electronic version licensed for access by U. of T. users.

Source: Masters Abstracts International, Volume: 43-03, page: 0955.

MICR copy on microfiche (3 microfiches).