Quantifying uncertainty of sediment TMDLs using a stochastic approach

dc.contributor.author Newman, James
dc.contributor.author Kaleita, Amy
dc.contributor.department Agricultural and Biosystems Engineering
dc.date 2018-02-13T07:04:06.000
dc.date.accessioned 2020-06-29T22:32:41Z
dc.date.available 2020-06-29T22:32:41Z
dc.date.copyright Thu Jan 01 00:00:00 UTC 2009
dc.date.embargo 2013-03-11
dc.date.issued 2009-06-01
dc.description.abstract <p>Scientific uncertainty inherent in the development of Total Maximum Daily Load (TMDL) standards for non-point source pollutants such as sediment hampers the program’s 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.</p>
dc.description.comments <p>This is an ASABE Meeting Presentation, Paper No. <a href="http://elibrary.asabe.org/abstract.asp?aid=27748&t=3&dabs=Y&redir=&redirType=" target="_blank">096650</a>.</p>
dc.identifier archive/lib.dr.iastate.edu/abe_eng_conf/237/
dc.identifier.articleid 1242
dc.identifier.contextkey 3885197
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath abe_eng_conf/237
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/247
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/abe_eng_conf/237/2009_NewmanJK_QuantifyingUncertainty.pdf|||Fri Jan 14 22:49:19 UTC 2022
dc.subject.disciplines Agriculture
dc.subject.disciplines Bioresource and Agricultural Engineering
dc.subject.keywords Sediment
dc.subject.keywords TMDL
dc.subject.keywords Uncertainty analysis
dc.subject.keywords GeoWEPP
dc.subject.keywords Monte Carlo simulation
dc.title Quantifying uncertainty of sediment TMDLs using a stochastic approach
dc.type article
dc.type.genre conference
dspace.entity.type Publication
relation.isAuthorOfPublication 8a405b08-e1c8-4a10-b458-2f5a82fcf148
relation.isOrgUnitOfPublication 8eb24241-0d92-4baf-ae75-08f716d30801
File
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
2009_NewmanJK_QuantifyingUncertainty.pdf
Size:
2.33 MB
Format:
Adobe Portable Document Format
Description: