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28 results for “Virginia Reservoirs”
General Lake Model-Aquatic EcoDynamics model parameter set for Falling Creek Reservoir, Vinton, Virginia, USA 2013-2019
The General Lake Model (GLM), an open-source, one-dimensional hydrodynamic model, was used to simulate physical, chemical, and biological variables in Falling Creek Reservoir, Vinton, Virginia, USA between 15 May 2013 and 31 December 2019. GLM (v.3.2.0a3) was coupled to the Aquatic EcoDynamics (AED) module library via the Framework for Aquatic Biogeochemical Modeling (FABM). GLM-AED requires three configuration files to run the model. First, the glm3.nml file configures lake metadata (including hypsometry), meteorological driver data, stream inflow and outflow driver data files, and physical response variables (mixing parameters and sediment heat zones). Second, the aed2_20220111_2DOCpools.nml file configures various biogeochemical modules for the simulation of oxygen, carbon, silica, nitrogen, phosphorus, organic matter, and phytoplankton. Third, the aed2_phyto_pars_4Jan2022.nml file configures all parameters pertaining to phytoplankton dynamics. Meteorological data, two surface stream inflow files, a submerged oxygenation inflow file, and outflow file used in this calibration are also included.
Time series of high-frequency sensors measuring water temperature and dissolved oxygen at discrete depths in Falling Creek Reservoir, Virginia, USA in 2012-2018
We measured water temperature and dissolved oxygen at multiple depths in Falling Creek Reservoir (Vinton, Virginia, USA) with high-frequency (10 to 15-minute) sensors for different durations during 2012 to 2018. Falling Creek Reservoir is owned and managed by the Western Virginia Water Authority as a primary drinking water source for Roanoke, Virginia. All measurements were collected at discrete depths at the deepest site of the reservoir adjacent to the dam. The sensors consisted of: 1) InsiteIG dissolved oxygen and water temperature sensors (Model 20 dissolved oxygen sensor) at both 1 m (November 2015 - December 2018) and 8 m (September 2012 - December 2018) and 2) HOBO (HOBO Pendant Temperature/Light 64K Data Logger) water temperature loggers deployed at 1, 2, 3, 4, 5, 6, 7, 8, and 9.3 m depths (September 2015 - January 2018).
Time series of stable water isotopes (d18O, d2H) from Carvins Cove Reservoir in Southwestern Virginia, USA 2024-2025
Samples of stable water isotopes (delta 18O and delta 2H) were collected from surface waters and depth profiles in Carvins Cove Reservoir (Roanoke, Virginia, USA). Carvins Cove Reservoir is owned operated by the Western Virginia Water Authority as a primary drinking water source for Roanoke, Virginia. Samples were collected approximately monthly at two sites along a primary tributary and depth profiles at multiple transects within Carvins Cove Reservoir from May 2024 - April 2025. Additional isotope samples were analyzed from precipitation collected at the Carvins Cove Reservoir dam in 2024. Samples were analyzed using cavity ringdown spectroscopy and reported as deviation of concentration from that of Vienna standard mean ocean water. An Rmarkdown file to visualize the dataset accompanies the package.
Ice cover data for Falling Creek Reservoir and Beaverdam Reservoir, Vinton, Virginia, USA for December 2013-December 2022
Ice cover was recorded at Falling Creek Reservoir and Beaverdam Reservoir (both located in Vinton, Virginia, USA) using multiple methods. The ice cover record for Falling Creek Reservoir began in the winter of 2013-2014 and Beaverdam Reservoir beginning in the winter of 2020-2021. Falling Creek Reservoir and Beaverdam Reservoir are owned and operated by the Western Virginia Water Authority as a primary and secondary drinking water source, respectively, for Roanoke, Virginia. These two reservoirs are some of the southernmost waterbodies in the United States that exhibit ice cover during the winter. Given incipient climate change, Falling Creek Reservoir and Beaverdam Reservoir's ice cover data represent an important record of warming for waterbodies in the southeastern United States. Ice cover presence was assessed using multiple methods: visual observation of ice spanning the deep hole (from an observer standing on a reservoir's dam); visual observation via an automated camera deployed near the deep hole; water temperature data from a profile of sensors deployed at a reservoir's deepest site; upwelling shortwave radiation and albedo measured by a meteorological station deployed on a metal structure located over Falling Creek Reservoir's deep hole; and dissolved oxygen sensors deployed at multiple depths at the deep hole of both reservoirs.
Methane ebullition and diffusion rates, turbulence, water temperature, and water depth data from Falling Creek Reservoir (Virginia, USA) in the ice-free period during 2016-2019
This dataset includes weekly and subweekly methane ebullition and diffusion rates collected from March through November in 2016, 2017, 2018, and 2019 in Falling Creek Reservoir (FCR), a drinking water reservoir owned and managed by the Western Virginia Water Authority and located in Vinton, Virginia, USA. In 2016, ebullition rates were measured at four near-shore sites along a longitudinal gradient in FCR that included four replicate locations within each site, for a total of 16 sites in the reservoir. In 2017, methane emission rates and five different potential environmental driver variables (water temperature, wind speed, pressure, turbulence, primary production) were measured at five longitudinal transects that included four replicate sites per transect, for a total of 20 sites in the reservoir. In 2018, ebullition was measured at the same five longitudinal transects but with two replicate sites per transect, for a total of 10 sites. In 2019, ebullition was only measured at the furthest upstream transect monitored in 2017-2018, with four replicate sites within that transect. The dataset consists of four tables: 1) weekly methane ebullition and diffusion rates and the water depths at each of the 24 unique monitoring sites; 2) 10-minute resolution sediment-water interface and surface water temperatures from 16 sites in 2017; 3) weekly sediment-water interface and surface turbulence at the four transects in 2017; and 4) geographical coordinates of each of the 24 sites in the reservoir.
Organic carbon, temperature, oxygen, and inflow volume time series for Falling Creek Reservoir, Vinton, Virginia: Summer 2014
Weekly and subweekly monitoring data collected from June to October 2014 were used to study organic carbon dynamics in Falling Creek Reservoir, a drinking water reservoir owned and managed by the Western Virginia Water Authority and located in Vinton, Virginia, USA. The dataset consists of: 1) daily inflow volumes and the temperature of water entering the reservoir, measured at a gauged weir on Falling Creek Reservoir’s primary inflow tributary; 2) weekly to subweekly depth profiles of temperature and oxygen collected at the deepest site of the reservoir adjacent to the dam; and 3) approximately weekly grab samples of dissolved organic carbon and dissolved carbon dioxide collected from subsurface (0.1 m depth) and just above the sediments (9.0 m depth). This dataset also includes approximately weekly grab samples of organic carbon and dissolved carbon dioxide in the inflow tributary measured at the gauged weir, dissolved oxygen concentrations in the inflow tributary measured at the gauged weir, and organic carbon deposition rates measured at 8 m depth at the deepest site of the reservoir approximately every 4 weeks with sedimentation traps.
Dissolved silica time series for Beaverdam Reservoir, Carvins Cove Reservoir, Claytor Lake, Falling Creek Reservoir, Gatewood Reservoir, Smith Mountain Lake, and Spring Hollow Reservoir in southwestern Virginia, USA during 2014
Water column dissolved silica (SiO2) was analyzed during 2014 in seven freshwater reservoirs in southwestern Virginia (VA), USA. These reservoirs are: Beaverdam Reservoir (Vinton, VA), Carvins Cove Reservoir (Roanoke, VA), Claytor Lake (Pulaski, VA), Falling Creek Reservoir (Vinton, VA), Gatewood Reservoir (Pulaski, VA), Smith Mountain Lake (Bedford, VA), and Spring Hollow Reservoir (Salem, VA). Beaverdam, Carvins Cove, Falling Creek, and Spring Hollow Reservoirs are owned and operated by the Western Virginia Water Authority as primary or secondary drinking water sources for Roanoke, Virginia; Gatewood Reservoir is a drinking water source for the Town of Pulaski, Virginia; and Smith Mountain Lake is jointly treated by Bedford Regional Water Authority and Western Virginia Water Authority as a drinking water source for Franklin County, Virginia. Claytor Lake is utilized for hydroelectric power generation by Appalachian Power Company. The dataset consists of depth profiles of dissolved silica samples generally measured at the deepest site of each reservoir adjacent to the dam and an inflow stream into Falling Creek Reservoir. The water column samples were collected approximately fortnightly from April-June, weekly from June-July and sporadically from July-October at Beaverdam Reservoir; weekly from April-July and fortnightly from July-November at Carvins Cove Reservoir; sporadically from April-August at Claytor Lake; weekly from April-November at Falling Creek Reservoir; fortnightly from April-October at Gatewood Reservoir; fortnightly from May-November at Spring Hollow Reservoir; and fortnightly from May-October at Smith Mountain Lake.
Time series of iron (II) and sulfate concentrations for Beaverdam and Falling Creek Reservoirs in southwestern Virginia, USA during 2016
Water chemistry data were collected approximately weekly from May through October 2016 to study the biogeochemical cycling in Falling Creek Reservoir (FCR) and Beaverdam Reservoir (BVR). FCR and BVR are owned and operated by the Western Virginia Water Authority as primary or secondary drinking water sources for Roanoke, Virginia, USA. The dataset consists of depth profiles of sulfate (SO4) and dissolved Fe(II) samples measured at the deepest site of each reservoir adjacent to the dam. The dissolved Fe(II) samples were speciated from total dissolved Fe using the ferrozine method adapted from Viollier et al. (2000).
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