Filters: Tags: {"type":"Theme"} (X) > partyWithName: Oklahoma-Texas Water Science Center (X) > partyWithName: Victoria G Stengel (X)
8 results (15ms)|
Filters
Date Range
Extensions Types
Contacts
Categories Tag Schemes
|
A study to develop an earth observation monitoring system to detect harmful algal bloom (HABs) presence within selected north Texas reservoirs using satellite imagery was conducted by the U.S. Geological Survey (USGS). This data release provides the data collected for this study including site locations, water-quality, phytoplankton, and hyperspectral water surface reflectance data. Data were collected between September of 2019 and December of 2020 at 39 sites distributed across 16 reservoirs and 1 stream. The stream site was sampled in response to an algal bloom in August of 2019 in Austin Tex., and is included herein but the reservoir sites are the focus of this data release. The datasets include all routine and...
The Soil Water Assessment Tool (SWAT) model was used to simulate the hydrologic response of a watershed in south-central Texas within the Honey Creek State Natural Area for the time period 2001 to 2010; the simulation was focused on simulating the hydrologic outcomes of brush management. Specifically a SWAT2012 (Arnold et al., 2012) model of the watershed was built using the ArcSWAT tool (Winchell et al., 2007). Included are the necessary files and processing scripts for users to recreate the Monte Carlo and global sensitivity analysis results presented in the publication. Note the actual outputs from the analyses are not included herein because of storage size limitations. The results of the SWAT modeling are presented...
Using the National Oceanic Atmospheric Administration’s (NOAA) Air Stagnation Index (ASI), the total number of days during 2007–2016 with atmospheric conditions conducive for stagnant air conditions in the conterminous U.S. are documented in raster format geospatial data. These data provide the number of days that would allow the temporal buildup of atmospheric pollution (NOAA, 2017). NOAA provides ASI data on a monthly basis based on a modified version of Wang and Angell’s (1999) algorithm. The air stagnation index criteria are defined as sea level geostrophic wind less than 8m/sec (meters per second) (if there is a temperature inversion below 850mb (millibars), then less than 10 m/sec), 500 mb wind less than 13m/sec,...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Air stagnation,
Atmosphere,
Climatology,
Conterminous U.S.,
Energy Resources,
The Edwards aquifer is a karst aquifer system that is a primary water source for a large part of central Texas including the city of San Antonio, Texas. These vector geospatial data represent the geographic extent of the contributing zones for the Northern, Barton Springs, and San Antonio segments of the Edwards aquifer. The contributing zone is defined as the drainage area of the Edwards Plateau that contributes surface water to the Edwards aquifer recharge zone. The recharge zone is where surface water and precipitation infiltrate into the outcrop of the rocks that compose the aquifer (see Ashworth and Hopkins, 1995, and George and others, 2011). References Ashworth, J.B., and Hopkins, Janie, 1995, Aquifers of...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Bandera County,
Bell County,
Bexar County,
Blanco County,
Comal County,
Consumptive use (CU) of water is an important factor for determining water availability and groundwater storage. Many regional stakeholders and water-supply managers in the Upper Rio Grande Basin have indicated CU is of primary concern in their water-management strategies, yet CU data is sparse for this area. This polygon feature class, which represents irrigated acres for 2015, is a geospatial component of the U.S. Geological Survey National Water Census Upper Rio Grande Basin (URGB) focus area study's effort to improve quantification of CU in parts of New Mexico, west Texas, and northern Chihuahua. These digital data accompany Ivahnenko, T.I., Flickinger, A.K., Galanter, A.E., Douglas-Mankin, K.R., Pedraza, D.E.,...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Abiquiu Reservoir,
Ahumada,
Alamosa,
Alamosa County,
Alamosa Creek,
Open pit uranium mining in Atascosa, Karnes, and Live Oak Counties in the Texas gulf coast region was active during the second half of the 20th century. Understanding the history of these mining operations is important for proper management and restoration. Although some mines have extensive records documenting the locations and extents of mining pits and mine waste-rock piles, and provide descriptions of reclamation activities, abandoned mines with little to no such documentation are present on the landscape. A multiple lines of evidence approach using lidar derivatives and multispectral remote sensing temporal analysis (Stengel, 2022) was developed to (1) identify uranium mine waste-rock, wastewater, and land...
Open pit uranium mining in Atascosa, Karnes, and Live Oak Counties in the Texas gulf coast region was active during the second half of the 20th century. Understanding the history of these mining operations is important for proper management and restoration. Although some mines have extensive records documenting the locations and extents of mining pits and mine waste-rock piles, and provide descriptions of reclamation activities, abandoned mines with little to no such documentation are present on the landscape. A multiple lines of evidence approach using lidar derivatives and multispectral remote sensing temporal analysis (Stengel, 2022) was developed to (1) identify uranium mine waste-rock, wastewater, and land...
Dispersion of dust depends on many complex factors related to the nature of the disturbed materials, climate, dust control measures, and localized weather patterns. This dataset presents wind speed and rainfall as climate factors that influence dust dispersion. These two basic factors were identified as a subset of the many factors that can lead to dust dispersion. Arpacioglu and Er (2003) reviewed historical data from selected mine sites and suggested that days when the windspeed was at least 5.4 meters per second (m/s) at 10 meters above land surface and rainfall was less than 0.25 centimeter (cm) might lead to greater dust dispersion. Existing publicly available precipitation and wind speed data from NASA’s North...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Dust,
Soil Sciences,
USGS Science Data Catalog (SDC),
biota
|
|
