Filters: Tags: Buffalo River (X)
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Karst environments present many challenges to agencies and engineers attempting to work in these landscapes, particularly towards building infrastructure. The interconnectivity of karst hydrologic systems means that activities occurring on the surface of a karst landscape can have an impact on water quality and quantity. Additionally, soil thickness in karst landscape is often highly variable due to the presence of solutionally-enlarged fractures, joints, and openings at the soil-bedrock interface. Therefore, when planning infrastructure in karst terrains it is critical to do a thorough assessment to ensure that planned activities will not negatively impact the sensitive environment. In October 2020 Electric Resistivity...
This dataset includes audio-magnetotelluric (AMT) sounding data collected in August 2017 in the Buffalo River watershed of northern Arkansas by the U.S. Geological Survey (USGS). Along with geologic mapping, the USGS used AMT data at 6 sites along a southwest-northeast profile of about 7 kilometers across the inferred northeastern margin of the Bear Creek uplift within the southern Ozark Dome to better constrain the buried, northeastern margin of the Bear Creek uplift.
This Fish Community Analysis dataset, a conceptual subgroup of the Lake Erie Ecological Investigations (LEEI) dataset, focuses on the fish communities sampled at Areas of Concern (AOCs) on Lake Erie. Per the Quality Assurance Project Plan (QAPP), fish were sampled for identification and measurement of length and weight. Identification of fish were done by the same biologists for both the 1998-2000 data and the 1986-87 historical data (Smith et al. 1994). Any fish difficult to identify were preserved in buffered formalin for later identification. If large numbers of a particular species were collected the first thirty fish were measured and weighed; remaining fish were individually measured and group weighed. All...
This data release contains numerous shapefiles that describe baseline characterization of the physical attributes of the riverine ecosystems in two national parks – Ozark National Scenic Riverways (ONSR), Missouri, and Buffalo National River (BNR), Arkansas. The individual metadata associated with each shapefile describe in detail the specific process steps, source inputs for the data, and the specific river the data characterize.
This data release pertains to a seepage investigation and dye tracing study conducted in the Big Creek watershed of Newton County, Arkansas. The dye tracing dataset consists of geospatial files of monitoring sites, dye injection location, and dye flow paths. Hydrologic systems in karst environments have a high degree of interconnectivity between surface water and groundwater systems. Because of this interconnectivity, activities which occur on the surface in karst environments have a direct impact on the water quality and quantity of karst groundwater. The Ozark Plateaus Physiographic region (Ozarks) of northern Arkansas and southern Missouri is an extensive karst area where many of the karst flow systems are recharged...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: Arkansas,
Big Creek,
Buffalo National River,
Buffalo River,
Left Fork Big Creek,
A data release containing information on macroinvertebrate communities and sediment toxicity in the Buffalo River Area of Concern (AOC) and reference areas immediately upstream of the AOC collected during 2017 and 2020. Macroinvertebrate community samples were collected using bottom-deployed multiplate artificial substrate samplers and organisms were identified to the lowest practical taxonomic resolution and used to calculate metrics of biological integrity following standard New York State Department of Environmental Conservation procedures. Bed sediments were collected using a petite Ponar dredge and used for toxicity tests with two test species, Chironomus dilutus and Hyalella azteca, following USEPA test methods...
Categories: Data,
Data Release - Revised;
Tags: Aquatic Biology,
Aquatic Community Health,
Buffalo River,
Ecosystem Health,
Environmental Health,
The Lake Erie Ecological Investigations (LEEI) dataset contains data collected on contaminants in sediments, benthic invertebrate populations, fish populations and abnormalities, and fish health of primarily brown bullhead in Areas of Concerns (AOCs) on Lake Erie. A subset of the larger dataset, this section specifically handles reference tables, used in database design in order to standardize often used values and to make the data file efficient, for the main tables of the LEEI dataset. The reference tables include: site.csv, site_date.csv, and species.csv.
This dataset includes audio-magnetotelluric (AMT) sounding data collected in August 2017 in the Buffalo River watershed of northern Arkansas by the U.S. Geological Survey (USGS). Along with geologic mapping, the USGS used AMT data at 6 sites along a southwest-northeast profile of about 7 kilometers across the inferred northeastern margin of the Bear Creek uplift within the southern Ozark Dome to better constrain the buried, northeastern margin of the Bear Creek uplift.
Background The New York State Department of Environmental Conservation (NYSDEC) and Department of Health (NYSDOH), and the U.S. Geological Survey (USGS) plan to obtain data on chemical contaminants in fish from multiple Areas of Concern (AOCs) in New York State and use this information to evaluate fish consumption advisories, which are a critical component of most removal criteria for “Restriction on Fish and Wildlife Consumption” beneficial use impairments (BUI). The first project will be implemented in the Buffalo River AOC during summer 2017. This project will help determine if current fish consumption advisories each AOC are appropriate, if they can be modified, and if they support or do not support BUI removal...
Categories: Data,
Project;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Buffalo River,
Contaminants, Organic,
Contaminants, Organic,
Contaminants, organic,
Cooperative Water Program,
This Fish Health Evaluation dataset, a conceptual subgroup of the Lake Erie Ecological Investigations (LEEI) dataset, focuses on the health of fish—primarily brown bullhead—sampled at Areas of Concern (AOCs) on Lake Erie, as measured by anomalies, tumors, biomarkers, and other heath indicators. The focus of the data in the Fish Health dataset is from the 1998-2000 study, which reevaluated fish health in comparison to data from various historical studies also in the dataset. All of the data from the 1998-2000 evaluation and the data used for comparison from historical studies are in the main FISH_HEALTH table; additional historical data, which presumably fell out of scope for comparison, is also in the OLDFISHDATA_NOTERIE...
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