Water Quality Monitoring of Maryland’s Tidal Waterways
| dc.contributor.author | Le, Rosemary K. | |
| dc.contributor.author | Rackauckas, Christopher V. | |
| dc.contributor.author | Ross, Anne S. | |
| dc.contributor.author | Ulloa, Nehemias | |
| dc.date.accessioned | 2018-10-26T14:21:18Z | |
| dc.date.available | 2018-10-26T14:21:18Z | |
| dc.date.issued | 2012 | |
| dc.description.abstract | The Chesapeake Bay and its surrounding tributaries are home to over 3,600 species of plants and animals. In order to assess the health of the region, the Maryland Department of Natural Resources (DNR) monitors various parameters, such as dissolved oxygen, with monitoring stations located throughout the tidal waterways. Utilizing data provided by DNR, we assessed the waterways for areas of water quality concern. We analyzed the percentage of the readings taken for each parameter that failed to meet the threshold values and used the Wilcoxon Signed-Rank Test to determine the statuses of the stations. In order to assess the applicability of the Wilcoxon Test given the positive skew in the data, a simulation was performed. This simulation demonstrated that log-transforming the data prior to performing the Wilcoxon Test helped reduce the Type I Error. Furthermore, we ranked the stations using a set of multiple comparison methods: a version of the Tukey Test on variance-transformed proportions, the Bonferroni adjustment method, a Bayesian method, and the Benjamini-Hochberg rejection method. Also, we conducted a trend analysis for the five stations in the Corsica River. To aid in the presentation of our analyses, we constructed an interactive GUI (Graphical User Interface) for use by researchers and the general public. | en |
| dc.description.sponsorship | This program is funded jointly by the National Science Foundation and the National Security Agency (NSF grant no. DMS–1156976), 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). | en |
| dc.description.uri | https://userpages.umbc.edu/~gobbert/papers/REU2012Team2.pdf | en |
| dc.format.extent | 38 pages | en |
| dc.genre | technical report | en |
| dc.identifier | doi:10.13016/M20Z71138 | |
| dc.identifier.uri | http://hdl.handle.net/11603/11745 | |
| dc.language.iso | en | en |
| dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
| dc.relation.ispartof | UMBC Mathematics Department Collection | |
| dc.relation.ispartof | UMBC Faculty Collection | |
| dc.relation.ispartof | UMBC Student Collection | |
| dc.relation.ispartofseries | HPCF Technical Report;HPCF–2012–12 | |
| dc.rights | This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author. | |
| dc.subject | Chesapeake Bay | en |
| dc.subject | Water Quality Monitoring | en |
| dc.subject | Wilcoxon Signed-Rank Test | en |
| dc.subject | Multiple Comparison Tests | en |
| dc.subject | Simulation | en |
| dc.subject | Benjamini-Hochberg method | en |
| dc.subject | UMBC High Performance Computing Facility (HPCF) | en |
| dc.title | Water Quality Monitoring of Maryland’s Tidal Waterways | en |
| dc.type | Text | en |
