Click on “Download PDF” for the PDF version or on the title for the HTML version.

If you are not an ASABE member or if your employer has not arranged for access to the full-text, Click here for options.

Quantifying uncertainty of sediment TMDLs using a stochastic approach

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan

Citation:  2009 Reno, Nevada, June 21 - June 24, 2009  096650.(doi:10.13031/2013.27748)
Authors:   James K. Newman, Amy L Kaleita
Keywords:   Sediment, TMDL, Uncertainty analysis, GeoWEPP, Monte Carlo simulation

Scientific uncertainty inherent in the development of Total Maximum Daily Load (TMDL) standards for non-point source pollutants such as sediment hampers the programs effectiveness. Sediment is an important water quality parameter because deposition in streams and lakes adversely affects aquatic ecosystems. Equally important, suspended sediment is a transport mechanism for nutrients, pesticides and pathogens. This paper presents an alternative methodology that permits statistically valid calculation of sediment TMDL uncertainty. The sediment delivery computer simulation technology used for this project, the Geo-spatial interface for the Water Erosion Prediction Project (GeoWEPP), is capable of simulating single storm events and provides daily output useful for TMDL statistical analysis.

(Download PDF)    (Export to EndNotes)