Advanced Search
DSpace@MIT

Bacteria attenuation modeling and source identification in Kranji Catchment and Reservoir

Research and Teaching Output of the MIT Community

Show simple item record

dc.contributor.advisor Peter Shanahan. en_US
dc.contributor.author Kerigan, Kathleen B en_US
dc.contributor.author Yeager, Jessica M en_US
dc.contributor.other Massachusetts Institute of Technology. Dept. of Civil and Environmental Engineering. en_US
dc.coverage.spatial a-si--- en_US
dc.date.accessioned 2010-02-09T16:46:28Z
dc.date.available 2010-02-09T16:46:28Z
dc.date.copyright 2009 en_US
dc.date.issued 2009 en_US
dc.identifier.uri http://hdl.handle.net/1721.1/51572
dc.description Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2009. en_US
dc.description Includes bibliographical references (leaves 58-60). en_US
dc.description.abstract This study was performed to determine the bacterial loading of Kranji Catchment and Reservoir and how this will affect planned recreational use of Kranji Reservoir. Field and laboratory work was conducted in Singapore during the month of January 2009 to characterize the concentration of bacteria at sampling locations in the drainage system of Kranji Catchment and in Kranji Reservoir. Using this data, a first-order attenuation model was constructed and used to evaluate attenuation of bacteria while traveling through the drainage network to the reservoir. GIS tools used this model to predict areas of potential concern in one specific sub-catchment of Kranji Catchment. The USEPA WASP modeling program was used to determine fate and transport of bacteria throughout Kranji Reservoir based on bacteria concentrations flowing into the reservoir. These analyses led to the recommendation that farm run-off near the reservoir was the bacterial source of greatest concern. The relatively high concentrations coupled with short travel time, which diminishes opportunity for attenuation, resulted in high concentrations reaching the reservoir. Residential areas were found to contribute high concentrations of bacteria to the catchment, but due to relatively long travel times from the sources to the main body of the reservoir, have less of an effect on the bacterial concentrations of the main reservoir. Due to the uncharacteristically dry weather Singapore experienced during January 2009, the applicability of the results of this study to wet weather conditions is uncertain. en_US
dc.description.statementofresponsibility by Kathleen B. Kerigan and Jessica M. Yeager. en_US
dc.format.extent 60, [21] leaves en_US
dc.language.iso eng en_US
dc.publisher Massachusetts Institute of Technology en_US
dc.rights M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. en_US
dc.rights.uri http://dspace.mit.edu/handle/1721.1/7582 en_US
dc.subject Civil and Environmental Engineering. en_US
dc.title Bacteria attenuation modeling and source identification in Kranji Catchment and Reservoir en_US
dc.type Thesis en_US
dc.description.degree M.Eng. en_US
dc.contributor.department Massachusetts Institute of Technology. Dept. of Civil and Environmental Engineering. en_US
dc.identifier.oclc 491281218 en_US


Files in this item

Name Size Format Description
491281218.pdf 40.91Mb PDF Preview, non-printable (open to all)
491281218-MIT.pdf 40.91Mb PDF Full printable version (MIT only)

This item appears in the following Collection(s)

Show simple item record

MIT-Mirage