Filters: partyWithName: Matthew J Komiskey (X)
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This section of the data release supports the data used in models for the associated publication. The U.S. Geological Survey and the University of Wisconsin – Green Bay collected hydrologic and water-quality data to assess the effectiveness of agricultural conservation management practice (CMP) implementation at Mainstem Plum Creek (USGS site ID: 04084911) and West Plum Creek (USGS site ID: 04084927) in northeastern Wisconsin. Monitoring data from 2010–2020 at Mainstem Plum and 2013–2020 at West Plum were used to detect changes in hydrologic and water-quality responses during runoff events. Runoff events were defined by hydrographers and used to compute event loads and event flow-weighted mean concentrations of...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Lake Michigan,
Wisconsin,
agriculture,
erosion,
nutrient content (water),
Airborne electromagnetic (AEM) and magnetic survey data were collected during January and February 2021 over a distance of 3,170 line kilometers in northeast Wisconsin. These data were collected in support of an effort to improve estimates of depth to bedrock through a collaborative project between the U.S. Geological Survey (USGS), Wisconsin Department of Agriculture, Trade, and Consumer Protection (DATCP), and Wisconsin Geological and Natural History Survey (WGNHS). Data were acquired by SkyTEM Canada Inc. with the SkyTEM 304M time-domain helicopter-borne electromagnetic system together with a Geometrics G822A cesium vapor magnetometer. The survey was acquired at a nominal flight height of 30 - 40 m above terrain...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Brown County,
Calumet County,
Door County,
Fond du Lac County,
GGGSC,
Airborne electromagnetic (AEM) and magnetic survey data were collected during March 2022 over a distance of 2,574.6 line kilometers in southeast and southwest Wisconsin. These data were collected in support of an effort to improve estimates of depth to bedrock through a collaborative project between the U.S. Geological Survey (USGS), Wisconsin Department of Agriculture, Trade, and Consumer Protection (DATCP), and Wisconsin Geological and Natural History Survey (WGNHS). Data were acquired by SkyTEM Canada Inc. with the SkyTEM 304M time-domain helicopter-borne electromagnetic system together with a Geometrics G822A cesium vapor magnetometer. The survey was acquired at a nominal flight height of 30 - 40 meters (m)...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Crawford County,
Dane County,
GGGSC,
Geology, Geophysics, and Geochemistry Science Center,
Geophysics,
This data release provides computed rainfall (rain total, duration, intensity, erosivity and antecedent rainfall) and flow (flow volume, flow-weighted mean concentrations, total loads, and total yields) metrics from monitored precipitation, discharge, and water quality (nutrients and sediment concentrations) data collected at U.S. Geological Survey edge-of-field (EOF) monitoring sites located in five Great Lakes States (Wisconsin, Michigan, Ohio, Indiana, and New York). EOF monitoring sites are installed at the edge of agricultural fields, either on the field surface or using subsurface tiles, where runoff can be intercepted and channeled through monitoring equipment before it enters the natural stream system. These...
Categories: Data,
Data Release - Revised;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Great Lakes,
Indiana,
Michigan,
New York,
Ohio,
Phosphorus, nitrogen, and suspended-sediment loads, in 24 U.S. tributaries of the Great Lakes, were calculated using U.S. Geological Survey (USGS) data from the Great Lakes Restoration Initiative (GLRI) monitoring program for the period Oct 2010 through Sept 2020 (USGS water years 2011–2020). Total phosphorus, orthophosphate, particulate phosphorus, total nitrogen, nitrate plus nitrite, ammonium plus ammonia, and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season). The load results represent the total mass of nitrogen, phosphorus, and suspended sediment exported downstream at each tributary site....
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Great Lakes Watershed,
Indiana,
Kalman filtering,
Michigan,
Minnesota,
Soil data were collected from catchments of USGS edge-of-field (EOF) monitoring sites in Great Lakes Restoration Initiative (GLRI) priority watersheds. As part of this release, soil data from 2016 through 2019 are provided from 14 sites spanning 5 Great Lake States (Wisconsin, Michigan, Ohio, Indiana, and New York). The data collected are from private farms representing a variety of agronomic systems, landscapes settings, soil types, and climate regimes. These data can be used to investigate relationships among microbial properties (e.g. soil microbial biomass, activity, diversity, and enzymes), general soil structure (e.g. bulk density, soil aggregate structure, soil water holding capacity, soil texture, and infiltration...
Categories: Data;
Tags: Allen County, IN,
Best Management Practices,
Brown County, WI,
Fox River,
Genesee County, MI,
This section of the data release supports an archive of the models used in the associated publication. The U.S. Geological Survey and the University of Wisconsin – Green Bay collected hydrologic and water-quality data to assess the effectiveness of agricultural conservation management practice (CMP) implementation at Mainstem Plum Creek and West Plum Creek in northeastern Wisconsin. Monitoring data from 2010–2020 at Mainstem Plum and 2013–2020 at West Plum were used to detect changes in hydrologic and water-quality responses during runoff events. Runoff events were defined by hydrographers and used to compute event loads and event flow-weighted mean concentrations of total phosphorus and total suspended solids –...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Lake Michigan,
Wisconsin,
agriculture,
erosion,
nutrient content (water),
As part of the Great Lakes Restoration Initiative, the U.S. Department of Agriculture, Natural Resources Conservation Service; U.S. Environmental Protection Agency; and the U.S. Geological Survey (USGS) have partnered to evaluate the impacts of implementing agricultural conservation practices focused on nutrient management. Monitoring methods have been designed to allow for rapid assessment of water-quality changes in response to conservation efforts by focusing on subsurface-tile drainage and direct surface runoff from fields—the major pathways for nonpoint-source pollution to enter streams. Monitoring stations were established at the field edge that measured runoff volume and enabled the collection of samples...
The U.S. Geological Survey and the University of Wisconsin – Green Bay collected hydrologic and water-quality data to assess the effectiveness of agricultural conservation management practice (CMP) implementation at Mainstem Plum Creek and West Plum Creek in northeastern Wisconsin. Monitoring data from 2010–2020 at Mainstem Plum and 2013–2020 at West Plum were used to detect changes in hydrologic and water-quality responses during runoff events. Runoff events were defined by hydrographers and used to compute event loads and event flow-weighted mean concentrations of total phosphorus and total suspended solids – all of which are included in this data release. Additionally, changes in these parameters were assessed...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Hydrology,
Lake Michigan,
USGS Science Data Catalog (SDC),
Water Quality,
Wisconsin,
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Best Management Practices,
GLRI,
Great Lakes Restoration Initiative,
Great Lakes Restoration Initiative,
Lake,
Description of Work The Great Lakes Restoration Initiative (GLRI) was established to accelerate ecosystem restoration in the Great Lakes by confronting the most serious threats to the region, such as nonpoint source pollution, toxic sediments, and invasive species. Three Priority Watersheds have been targeted by the Regional Working Group's Phosphorus Reduction Work Group (Fox/Green Bay, Saginaw, and Maumee) and are characterized by having a high density of agricultural land use and have ecosystem impairments that have been clearly identified. Within the Maumee River Priority Watersheds, monitoring is being conducted at the sub-watershed, edge-of-field, and subsurface-tile scale. The edge-of-field and subsurface-tile...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Best Management Practices,
GLRI,
Great Lakes Restoration Initiative,
Great Lakes Restoration Initiative,
Lake,
Description of Work The Great Lakes Restoration Initiative (GLRI) was established to accelerate ecosystem restoration in the Great Lakes by confronting the most serious threats to the region, such as nonpoint source pollution, toxic sediments, and invasive species. Three Priority Watersheds have been targeted by the Regional Working Group's Phosphorus Reduction Work Group (Fox/Green Bay, Saginaw, and Maumee) and are characterized by having a high density of agricultural land use and have ecosystem impairments that have been clearly identified. Within the Fox River Priority Watershed, monitoring is being conducted at the sub-watershed and edge-of-field scale. The edge-of-field stations are targeted to those areas...
These data describe daily mean air temperature, soil temperature, soil-water (moisture) content, and solar radiation at two edge-of-field sites monitored as part of the Great Lakes Restoration Initiative. These data were used to catalog the general range of conditions at each site in order to provide context for when sub-surface agricultural drainage (tile drains) is visible in remote-sensing imagery available from DigitalGlobe and Google Earth.
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