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The University of Texas at Austin

QuickLET : a web-based tool for estimating pollutant loads in a watershed

Abstract

dc:description.abstract

Web-based modeling tools for estimating pollutant loads in watersheds are few in literature. Those that are available for public access often require domain expertise, making them relevant mostly among environmental researchers. Aside from intensive efforts required to gather enormous amount of data, the complexity of the modeling tools themselves hinder their application among non-technical users. Consequently, environmental decision makers often rely on outside consultants to perform watershed assessments for them. This report presents the Quick Load Estimating Tool (QuickLET), a Web-based tool for estimating pollutant loads in watersheds across the contiguous US. QuickLET empowers users to visualize the effects of land use patterns, cultivated crops, and conservation practices through graphical representation. QuickLET implements an export coefficient approach for predicting the pollutant loads resulting in significant simplification of the estimating process.

Degree

thesis:*
Name thesis:degree_name
Master of Science in Engineering
Level thesis:degree_level
Masters
Discipline thesis:degree_discipline
Electrical and Computer Engineering
Grantor
The University of Texas at Austin
Year dc:date.issued
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Gambone, Marilyn Aldover
Advisor dc:contributor.advisor
  • Aziz, Adnan
Committee member dc:contributor.committeemember
  • White, Michael J

Subjects

dc:subject × 6

Rights

Language dc:language.iso
en

Identifiers

dc:identifier.*
Identifier
doi:10.15781/T2BW4N
OAI identifier oai:identifier
oai:repositories.lib.utexas.edu:2152/32268

Chain of custody

source
Harvested from
University of Texas
Base URL
repositories.lib.utexas.edu/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Gambone, Marilyn Aldover. QuickLET : a web-based tool for estimating pollutant loads in a watershed. Masters thesis, The University of Texas at Austin, 2015. http://hdl.handle.net/2152/32268