Quantification of Variabilities of Baseflow of Watersheds

dc.contributor.authorDixon, Christian
dc.contributor.authorMartinez, Gabriel
dc.contributor.authorPark, Hwan Hee
dc.contributor.authorRainey, Maddie
dc.contributor.authorPopuri, Sai
dc.contributor.authorWijekoon, Nadeesri
dc.contributor.authorAdragni, Kofi
dc.date.accessioned2018-09-13T19:44:10Z
dc.date.available2018-09-13T19:44:10Z
dc.description.abstractThe U.S. Geological Survey National Water-Quality Assessment Project conducted a study of 225 sites in the Chesapeake Bay watershed to estimate base flow. Baseflow is the estimated volumetric discharge of water, primarily from groundwater sources, that is relayed to the measurement sites. The study is necessary in order to address the nation’s water supply for changes in the environment. Baseflow is estimated using a recursive digital filter. Calculating the variability of baseflow water discharge is important to make informed decisions about water regulation. We explored the estimation of variability of baseflow using two methods: the bootstrap method and the Delta method. Each method has its own limitations and requirements. Ultimately, bootstrapping was shown to be a reasonable recommendation for estimating baseflow variability. The bootstrapping algorithm was parallelized in order to compute numerous iterations on multiple processors for big data analysis. The derivation of the variability of a non-constant streamflow was also considered for further study, but not implemented.en_US
dc.description.sponsorshipThese results were obtained as part of the REU Site: Interdisciplinary Program in High Performance Computing (hpcreu.umbc.edu) in the Department of Mathematics and Statistics at the University of Maryland, Baltimore County (UMBC) in Summer 2017. This program is funded by the National Science Foundation (NSF), the National Security Agency (NSA), and the Department of Defense (DOD), with additional support from UMBC, the Department of Mathematics and Statistics, the Center for Interdisciplinary Research and Consulting (CIRC), and the UMBC High Performance Computing Facility (HPCF). HPCF is supported by the U.S. National Science Foundation through the MRI program (grant nos. CNS-0821258 and CNS-1228778) and the SCREMS program (grant no. DMS-0821311), with additional substantial support from UMBC. Author Christian Dixon was supported, in part, by the UMBC National Security Agency (NSA) Scholars Program through a contract with the NSA. Graduate assistants Nadeesri Wijekoon and Sai Popuri were supported by UMBC.en_US
dc.description.urihttps://userpages.umbc.edu/~gobbert/papers/REU2017Team2.pdfen_US
dc.format.extent13 pagesen_US
dc.genreTechnical Reporten_US
dc.identifierdoi:10.13016/M2R20S091
dc.identifier.urihttp://hdl.handle.net/11603/11294
dc.language.isoen_USen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Mathematics Department Collection
dc.relation.ispartofUMBC Student Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofseriesHPCF Technical Report;HPCF-2017-12
dc.rightsThis item may be protected under Title 17 of the U.S. Copyright Law. It is made available by UMBC for non-commercial research and education. For permission to publish or reproduce, please contact the author.
dc.subjectbootstrap methoden_US
dc.subjectDelta methoden_US
dc.subjectUMBC High Performance Computing Facility (HPCF)en_US
dc.subjectU.S. Geological Survey National Water-Quality Assessment Project
dc.subjectChesapeake Bay watershed
dc.subjectWater discharge baseflow
dc.subjectrecursive digital filter
dc.subjectestimating the variability of baseflow
dc.titleQuantification of Variabilities of Baseflow of Watershedsen_US
dc.typeTexten_US

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