Quantification of Variabilities of Baseflow of Watersheds
dc.contributor.author | Dixon, Christian | |
dc.contributor.author | Martinez, Gabriel | |
dc.contributor.author | Park, Hwan Hee | |
dc.contributor.author | Rainey, Maddie | |
dc.contributor.author | Popuri, Sai | |
dc.contributor.author | Wijekoon, Nadeesri | |
dc.contributor.author | Adragni, Kofi | |
dc.date.accessioned | 2018-09-13T19:44:10Z | |
dc.date.available | 2018-09-13T19:44:10Z | |
dc.description.abstract | The 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.sponsorship | These 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.uri | https://userpages.umbc.edu/~gobbert/papers/REU2017Team2.pdf | en_US |
dc.format.extent | 13 pages | en_US |
dc.genre | Technical Report | en_US |
dc.identifier | doi:10.13016/M2R20S091 | |
dc.identifier.uri | http://hdl.handle.net/11603/11294 | |
dc.language.iso | en_US | en_US |
dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
dc.relation.ispartof | UMBC Mathematics Department Collection | |
dc.relation.ispartof | UMBC Student Collection | |
dc.relation.ispartof | UMBC Faculty Collection | |
dc.relation.ispartofseries | HPCF Technical Report;HPCF-2017-12 | |
dc.rights | This 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.subject | bootstrap method | en_US |
dc.subject | Delta method | en_US |
dc.subject | UMBC High Performance Computing Facility (HPCF) | en_US |
dc.subject | U.S. Geological Survey National Water-Quality Assessment Project | |
dc.subject | Chesapeake Bay watershed | |
dc.subject | Water discharge baseflow | |
dc.subject | recursive digital filter | |
dc.subject | estimating the variability of baseflow | |
dc.title | Quantification of Variabilities of Baseflow of Watersheds | en_US |
dc.type | Text | en_US |