Silvia spent most of her career with the Water Mission Area in USGS, first in the Virginia Water Science Center and then with the South Atlantic Water Science Center. She served as a GIS Specialist, Team lead and Project Chief for numerous hydrologic studies over the years. She has also served on many technical advisory teams addressing geospatial needs, with an emphasis on lidar applications and
Professional Experience
Hydrologic and geomorphologic derivatives from high-resolution elevation data sets. StreamStats support and Advisory Team member.
Education and Certifications
Masters in Urban and Regional Planning (1986) Virginia Commonwealth University, Richmond, VA
Bachelor of Science, Psychology (1983) Randolph-Macon College, Ashland, VA
Science and Products
Filter Total Items: 35
A regional modeling framework of phosphorus sources and transport in streams of the southeastern United States
We applied the SPARROW model to estimate phosphorus transport from catchments to stream reaches and subsequent delivery to major receiving water bodies in the Southeastern United States (U.S.). We show that six source variables and five land-to-water transport variables are significant (p < 0.05) in explaining 67% of the variability in long-term log-transformed mean annual phosphorus yields. Three
Authors
Ana María García, Anne B. Hoos, Silvia Terziotti
Digital hydrologic networks supporting applications related to spatially referenced regression modeling
Digital hydrologic networks depicting surface-water pathways and their associated drainage catchments provide a key component to hydrologic analysis and modeling. Collectively, they form common spatial units that can be used to frame the descriptions of aquatic and watershed processes. In addition, they provide the ability to simulate and route the movement of water and associated constituents thr
Authors
John W. Brakebill, David M. Wolock, Silvia Terziotti
Use of StreamStats in the Upper French Broad River Basin, North Carolina: A Pilot Water-Resources Web Application
StreamStats is a Web-based Geographic Information System (GIS) application that was developed by the U.S. Geological Survey (USGS) in cooperation with Environmental Systems Research Institute, Inc. (ESRI) to provide access to an assortment of analytical tools that are useful for water-resources planning and management. StreamStats allows users to easily obtain streamflow statistics, basin characte
Authors
Chad R. Wagner, Kirsten C. Tighe, Silvia Terziotti
Trends in Water Quality in the Southeastern United States, 1973-2005
As part of the U.S. Geological Survey National Water-Quality Assessment Program, water-quality data for 334 streams in eight States of the Southeastern United States were assessed for trends from 1973 to 2005. Forty-four U.S. Geological Survey sites were examined for trends in pH, specific conductance, and dissolved oxygen, and in concentrations of dissolved solids, suspended sediment, chloride, s
Authors
Douglas A. Harned, Erik L. Staub, Kelly L. Peak, Kirsten M. Tighe, Silvia Terziotti
Data to support statistical modeling of instream nutrient load based on watershed attributes, southeastern United States, 2002
This report presents and describes the digital datasets that characterize nutrient source inputs, environmental characteristics, and instream nutrient loads for the purpose of calibrating and applying a nutrient water-quality model for the southeastern United States for 2002. The model area includes all of the river basins draining to the south Atlantic and the eastern Gulf of Mexico, as well as t
Authors
Anne B. Hoos, Silvia Terziotti, Gerard McMahon, Katerina Savvas, Kirsten C. Tighe, Ruth Alkons-Wolinsky
Inventory of Well Yields in Avery and Watauga Counties, North Carolina
More than 1,500 well records were compiled for Avery and Watauga Counties, North Carolina, as part of a study of ground-water resources. Wells in this area of the Blue Ridge Physiographic Province produce water from the fractured-bedrock aquifer. Prior to this study, only about 132 wells were included in the U.S. Geological Survey's National Water Information System, as a result of a study conduct
Authors
Brad A. Huffman, Melinda J. Chapman, Kirsten C. Tighe, Silvia Terziotti
LiDAR-Derived Flood-Inundation Maps for Real-Time Flood-Mapping Applications, Tar River Basin, North Carolina
Flood-inundation maps were created for selected streamgage sites in the North Carolina Tar River basin. Light detection and ranging (LiDAR) data with a vertical accuracy of about 20 centimeters, provided by the Floodplain Mapping Information System of the North Carolina Floodplain Mapping Program, were processed to produce topographic data for the inundation maps. Bare-earth mass point LiDAR data
Authors
Jerad D. Bales, Chad R. Wagner, Kirsten C. Tighe, Silvia Terziotti
Direction of ground-water flow in the surficial aquifer in the vicinity of impact areas G-10 and K-2, Camp Lejeune Marine Corps Base, North Carolina, 2004
Marine Corps Base Camp Lejeune is located in Onslow County in the North Carolina Coastal Plain. In support of North Carolina Department of Environment and Natural Resource requirements, Camp Lejeune is developing a site closure plan for two Resource Conservation and Recovery Act (RCRA) regulated open burn/open detonation (OB/OD) facilities located within Impact Area K-2 and Impact Area G-10, respe
Authors
Stephen L. Harden, Stephen S. Howe, Silvia Terziotti
Susceptibility index to surface contamination for the Little Cross Creek watershed, Cumberland County, North Carolina
An index of surface-water contamination potential was constructed for the Little Cross Creek Basin, a 9.7-square-mile, water-supply watershed in Cumberland County, North Carolina. The index was developed because previous water-quality investigations raised concerns regarding inputs of bacteria, suspended sediment, and phosphorus from nonpoint sources in the watershed. A geographic information syst
Authors
M. J. Giorgino, Silvia Terziotti
Vertical series hydraulic conductance classes to characterize the unsaturated zone in North Carolina
This web site contains the Federal Geographic Data Committee-compliant metadata (documentation) for digital data produced for the North Carolina, Department of Environment and Natural Resources, Public Water Supply Section, Source Water Assessment Program. The metadata are for 11 individual Geographic Information System data sets. An overlay and indexing method was used with the data to derive a r
Authors
Jo Leslie Eimers, Silvia Terziotti, Gloria M. Ferrell
Ground-water contribution classes to characterize watersheds in North Carolina
This web site contains the Federal Geographic Data Committee-compliant metadata (documentation) for digital data produced for the North Carolina, Department of Environment and Natural Resources, Public Water Supply Section, Source Water Assessment Program. The metadata are for 11 individual Geographic Information System data sets. An overlay and indexing method was used with the data to derive a r
Authors
Silvia Terziotti, Jo Leslie Eimers
Land-cover classes to characterize the unsaturated zone in North Carolina
This web site contains the Federal Geographic Data Committee-compliant metadata (documentation) for digital data produced for the North Carolina, Department of Environment and Natural Resources, Public Water Supply Section, Source Water Assessment Program. The metadata are for 11 individual Geographic Information System data sets. An overlay and indexing method was used with the data to derive a r
Authors
Silvia Terziotti, Jo Leslie Eimers
Science and Products
- Data
No Result Found
- Maps
- Publications
Filter Total Items: 35
A regional modeling framework of phosphorus sources and transport in streams of the southeastern United States
We applied the SPARROW model to estimate phosphorus transport from catchments to stream reaches and subsequent delivery to major receiving water bodies in the Southeastern United States (U.S.). We show that six source variables and five land-to-water transport variables are significant (p < 0.05) in explaining 67% of the variability in long-term log-transformed mean annual phosphorus yields. ThreeAuthorsAna María García, Anne B. Hoos, Silvia TerziottiDigital hydrologic networks supporting applications related to spatially referenced regression modeling
Digital hydrologic networks depicting surface-water pathways and their associated drainage catchments provide a key component to hydrologic analysis and modeling. Collectively, they form common spatial units that can be used to frame the descriptions of aquatic and watershed processes. In addition, they provide the ability to simulate and route the movement of water and associated constituents thrAuthorsJohn W. Brakebill, David M. Wolock, Silvia TerziottiUse of StreamStats in the Upper French Broad River Basin, North Carolina: A Pilot Water-Resources Web Application
StreamStats is a Web-based Geographic Information System (GIS) application that was developed by the U.S. Geological Survey (USGS) in cooperation with Environmental Systems Research Institute, Inc. (ESRI) to provide access to an assortment of analytical tools that are useful for water-resources planning and management. StreamStats allows users to easily obtain streamflow statistics, basin characteAuthorsChad R. Wagner, Kirsten C. Tighe, Silvia TerziottiTrends in Water Quality in the Southeastern United States, 1973-2005
As part of the U.S. Geological Survey National Water-Quality Assessment Program, water-quality data for 334 streams in eight States of the Southeastern United States were assessed for trends from 1973 to 2005. Forty-four U.S. Geological Survey sites were examined for trends in pH, specific conductance, and dissolved oxygen, and in concentrations of dissolved solids, suspended sediment, chloride, sAuthorsDouglas A. Harned, Erik L. Staub, Kelly L. Peak, Kirsten M. Tighe, Silvia TerziottiData to support statistical modeling of instream nutrient load based on watershed attributes, southeastern United States, 2002
This report presents and describes the digital datasets that characterize nutrient source inputs, environmental characteristics, and instream nutrient loads for the purpose of calibrating and applying a nutrient water-quality model for the southeastern United States for 2002. The model area includes all of the river basins draining to the south Atlantic and the eastern Gulf of Mexico, as well as tAuthorsAnne B. Hoos, Silvia Terziotti, Gerard McMahon, Katerina Savvas, Kirsten C. Tighe, Ruth Alkons-WolinskyInventory of Well Yields in Avery and Watauga Counties, North Carolina
More than 1,500 well records were compiled for Avery and Watauga Counties, North Carolina, as part of a study of ground-water resources. Wells in this area of the Blue Ridge Physiographic Province produce water from the fractured-bedrock aquifer. Prior to this study, only about 132 wells were included in the U.S. Geological Survey's National Water Information System, as a result of a study conductAuthorsBrad A. Huffman, Melinda J. Chapman, Kirsten C. Tighe, Silvia TerziottiLiDAR-Derived Flood-Inundation Maps for Real-Time Flood-Mapping Applications, Tar River Basin, North Carolina
Flood-inundation maps were created for selected streamgage sites in the North Carolina Tar River basin. Light detection and ranging (LiDAR) data with a vertical accuracy of about 20 centimeters, provided by the Floodplain Mapping Information System of the North Carolina Floodplain Mapping Program, were processed to produce topographic data for the inundation maps. Bare-earth mass point LiDAR dataAuthorsJerad D. Bales, Chad R. Wagner, Kirsten C. Tighe, Silvia TerziottiDirection of ground-water flow in the surficial aquifer in the vicinity of impact areas G-10 and K-2, Camp Lejeune Marine Corps Base, North Carolina, 2004
Marine Corps Base Camp Lejeune is located in Onslow County in the North Carolina Coastal Plain. In support of North Carolina Department of Environment and Natural Resource requirements, Camp Lejeune is developing a site closure plan for two Resource Conservation and Recovery Act (RCRA) regulated open burn/open detonation (OB/OD) facilities located within Impact Area K-2 and Impact Area G-10, respeAuthorsStephen L. Harden, Stephen S. Howe, Silvia TerziottiSusceptibility index to surface contamination for the Little Cross Creek watershed, Cumberland County, North Carolina
An index of surface-water contamination potential was constructed for the Little Cross Creek Basin, a 9.7-square-mile, water-supply watershed in Cumberland County, North Carolina. The index was developed because previous water-quality investigations raised concerns regarding inputs of bacteria, suspended sediment, and phosphorus from nonpoint sources in the watershed. A geographic information systAuthorsM. J. Giorgino, Silvia TerziottiVertical series hydraulic conductance classes to characterize the unsaturated zone in North Carolina
This web site contains the Federal Geographic Data Committee-compliant metadata (documentation) for digital data produced for the North Carolina, Department of Environment and Natural Resources, Public Water Supply Section, Source Water Assessment Program. The metadata are for 11 individual Geographic Information System data sets. An overlay and indexing method was used with the data to derive a rAuthorsJo Leslie Eimers, Silvia Terziotti, Gloria M. FerrellGround-water contribution classes to characterize watersheds in North Carolina
This web site contains the Federal Geographic Data Committee-compliant metadata (documentation) for digital data produced for the North Carolina, Department of Environment and Natural Resources, Public Water Supply Section, Source Water Assessment Program. The metadata are for 11 individual Geographic Information System data sets. An overlay and indexing method was used with the data to derive a rAuthorsSilvia Terziotti, Jo Leslie EimersLand-cover classes to characterize the unsaturated zone in North Carolina
This web site contains the Federal Geographic Data Committee-compliant metadata (documentation) for digital data produced for the North Carolina, Department of Environment and Natural Resources, Public Water Supply Section, Source Water Assessment Program. The metadata are for 11 individual Geographic Information System data sets. An overlay and indexing method was used with the data to derive a rAuthorsSilvia Terziotti, Jo Leslie Eimers - Multimedia