Lillian E Gorman Sanisaca
Lillian (Lily) is a Physical Scientist with the USGS. She works on a variety of projects as an expert in the R programming language, Rshiny, and in translation of proprietary programming languages (SAS, Python, etc.) to R. Current research projects include development of RSPARROW and RSPARROW_Bayesian with Richard Alexander and of the Sediment Source Assessment Tool (Sed_SAT) with Allen Gellis.
Biography
Education
Graduate Studies, Dept. Earth and Planetary Science, Johns Hopkins University 2008-2010
B.S. Geophysics, B.S. Geology University of Minnesota, Twin-Cities, Minneapolis, MN
Professional Experience
2014-present Physical Scientist USGS MD-DE-DC Water Science Center Baltimore, MD
2013-2014 Contractor USGS MD-DE-DC Water Science Center Baltimore, MD
2013 Volunteer USGS MD-DE-DC Water Science Center Baltimore, MD
Publications
Gorman Sanisaca, L.E., Gellis, A.C., and Lorenz, D.L., 2017, Determining the sources of finegrained sediment using the Sediment Source Assessment Tool (Sed_SAT): U.S. Geological Survey Open File Report 2017–1062, 104 p., https://doi.org/10.3133/ofr20171062, IP-079059.
Gorman Sanisaca, L., Gellis, Allen, Lorenz, David, 2017, Sediment Source Assessment Tool (Sed_SAT): U.S. Geological Survey software release, accessed at https://my.usgs.gov/bitbucket/projects/SED/repos/sed_sat/
Science and Products
Annual wastewater nutrient data preparation and load estimation using the Point Source Load Estimation Tool (PSLoadEsT)
The Point-Source Load Estimation Tool (PSLoadEsT) provides a user-friendly interface for generating reproducible load calculations for point source dischargers while managing common data challenges including duplicates, incompatible input tables, and incomplete or missing nutrient concentration or effluent flow data. Maintaining a consistent...
Gorman Sanisaca, Lillian E.; Skinner, Kenneth D.; Maupin, Molly A.
Bank‐derived material dominates fluvial sediment in a suburban Chesapeake Bay watershed
Excess fine sediment is a leading cause of ecological degradation within the Chesapeake Bay watershed. To effectively target sediment mitigation measures, it is necessary to identify and quantify the delivery of sediment sources to local waterbodies.This study examines the contributions of sediment sources within Upper Difficult Run, a...
Cashman, Matthew J.; Gellis, Allen; Gorman Sanisaca, Lillian; Noe, Gregory B.; Cogliandro, Vanessa; Baker, Anna
Sediment Source Assessment Using Sediment Fingerprints
ProblemSediment is one of the most common causes of loss of stream-biologic integrity, whether in suspension in the water column, or as deposition on a stream or lake bottom. Fine-grained silts and clays are of particular concern because they can degrade habitat and often carry phosphorus and (or) other contaminants harmful to humans and aquatic...
Gellis, Allen C.; Gorman Sanisaca, Lillian E.; Cashman, Matthew J.
Determining the sources of fine-grained sediment using the Sediment Source Assessment Tool (Sed_SAT)
A sound understanding of sources contributing to instream sediment flux in a watershed is important when developing total maximum daily load (TMDL) management strategies designed to reduce suspended sediment in streams. Sediment fingerprinting and sediment budget approaches are two techniques that, when used jointly, can qualify and quantify the...
Gorman Sanisaca, Lillian E.; Gellis, Allen C.; Lorenz, David L. Identifying sediment sources in the sediment TMDL process
Sediment is an important pollutant contributing to aquatic-habitat degradation in many waterways of the United States. This paper discusses the application of sediment budgets in conjunction with sediment fingerprinting as tools to determine the sources of sediment in impaired waterways. These approaches complement monitoring, assessment, and...
Gellis, Allen C.; Fitzpatrick, Faith A.; Schubauer-Berigan, Joseph P.; Landy, R.B.; Gorman Sanisaca, Lillian E.