Skip to main content
Advanced Search

Filters: Tags: Chesapeake Bay (X)

138 results (38ms)   

Filters
Date Range
Extensions (Less)
Types (Less)
Contacts (Less)
Categories (Less)
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
This dataset contains values of normal reservoir storage in units of acre-feet per km2, for three time periods: 1992, 2002, and 2012. Values are derived from a slightly-modified version of the National Inventory of Dams (NID) 2013 dataset, for which approximately 10% of records had the dam completion date estimated.
The relevance of the boundary concept to ecological processes has been recently questioned. Humans in the post-industrial era have created novel lateral transport fluxes that have not been sufficiently considered in watershed studies. We describe patterns of land-use change within the Potomac River basin and demonstrate how these changes have blurred traditional ecosystem boundaries by increasing the movement of people, materials, and energy into and within the basin. We argue that this expansion of ecological commerce requires new science, monitoring, and management strategies focused on large rivers and suggest that traditional geopolitical and economic boundaries for environmental decision making be appropriately...
thumbnail
Data release contains two shapefiles related to poultry houses on the Delmarva Peninsula (Delaware, Eastern Shore Maryland and, Eastern Shore Virginia). One dataset is a polygon shapefile representing 6013 poultry houses identified using 2016 and 2017 aerial imagery from the U.S. Department of Agriculture's National Aerial Imagery Program (NAIP). The second dataset is a point shapefile of inactive houses which displayed similar characteristics to the active houses except were overgrown or in a state of disrepair (in some cases only the building's footprint remains).
thumbnail
This metadata record documents 3 sets of comma delimited tables representing the amount of reported best management practice (BMP) implementation within the Chesapeake Bay watershed as well as output data from scenarios of the Chesapeake Bay Program Phase 5.3.2 Watershed Model. The scenario data were used to estimate the effects of BMPs on water quality. The data are organized by three themes (child items below); 1) BMP implementation and definitions, 2) isolation scenarios, and 3) "Progress" and "No Action" scenarios.
These tabular data are summaries of land use/land cover related variables within catchments of the Chesapeake Bay watershed using the Xstrm methodology at 1:24,000 scale. Variables being counted as land use/land cover related contain all land use and land cover data including datasets that are split off or combined from those data (eg. agriculture or impervious classes only datasets). Outputs consist of tabular comma-separated values files (CSVs) for both the local catchment and network summaries linked to the National Hydrography Dataset Plus High-Resolution (NHDPlus HR) framework by NHDPlus ID. Local catchments are defined as the single catchment the data is summarized within. Network accumulation summaries were...
Categories: Data; Tags: Agriculture, Aquatic Biology, Catchment, Catchments, Chesapeake, All tags...
thumbnail
As part of a larger study examining stream conditions and the effect of Best Management Practices in the Chesapeake Bay watershed, thirty small streams on the Delmarva Peninsula were instrumented and monitored for gage height (water level), water temperature, and air temperature using Onset HOBO sensors from March to September 2022. In addition, two discrete discharge measurements were made at baseflow at each site. This data release contains four .csv files with time-series for gage height, water temperature, and air temperature for all thirty monitoring locations and a table of discrete discharge measurements and associated field measurement metadata: Delmarva_2022_Continuous_Air_Temperature.csv Delmarva_2022_Continuous_Gage_Height.csv...
thumbnail
Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the nine Chesapeake Bay River Input Monitoring (RIM) stations for the period 1985 through 2015. Nutrient 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 that was exported from each of the nine RIM watersheds. When summed, the loads from the nine RIM stations represents the total load delivered from nearly eighty-percent of the bay watershed....
thumbnail
These data describe the affects of elastic leg-loop harnesses on the reproductive success and behavior of adult Common Terns and the growth and behavior of juvenile Common Terns. These data support a USGS authored manuscript.
thumbnail
These data, which support a paired USGS publication, describe the efficacy of several management practices for reducing the presence of herring gulls in the nesting colonies of Common Terns. This data was collected on Poplar Island, located in the Chesapeake Bay portion of Maryland.
thumbnail
U.S. Geological Survey (USGS) and Virginia Institute of Marine Science (VIMS) scientists conducted field data collection efforts during June 11th - 16th, 2020, using a combination of remote sensing technologies to map riverbank and wetland topography and vegetation at five sites in the Chesapeake Bay Region of Virginia. The five sites are located along the James, Severn, and York Rivers. The work was initiated to evaluate the utility of different remote sensing technologies in mapping river bluff and wetland topography and vegetation for change detection and sediment transport modeling. The USGS team collected Global Navigation Satellite System (GNSS), total station, and ground based lidar (GBL) data while the VIMS...
Tags: Bathymetry, Captain Sinclair's Recreational Area, Carter's Grove, Chesapeake Bay, Chippokes Plantation State Park, All tags...
thumbnail
This dataset contains values of soils, climate, hydrologic, topographic, and other geographic characteristics such as drainage area. These are considered "static" characteristics, which do not change over the time period of this study.
thumbnail
This dataset provides estimates of annual and seasonal precipitation for selected Chesapeake Bay watersheds. Season 1 is November-February; season 2 is March-June; and season 3 is July-October.
The Chesapeake Bay is the largest estuary in the US, and provides critical resources to fish, wildlife and people that use the 64,000 square mile watershed. For more than a decade, adverse effects potentially associated with exposure to endocrine disrupting chemicals (EDCs) have been observed in the Bay watershed. Our goal is to provide the scientific data and understanding about the environmental transport, fate, exposure pathways, and ecological effects of EDCs and pathogens using a combination of field and laboratory studies, geospatial analyses and risk assessment models. The USGS has a critical role to provide scientific information and work with Federal, State, and academic science partners to develop research...
thumbnail
The U.S. Geological Survey has been forecasting sea-level rise impacts on the landscape to evaluate where coastal land will be available for future use. The purpose of this project is to develop a spatially explicit, probabilistic model of coastal response for the Northeastern U.S. to a variety of sea-level scenarios that take into account the variable nature of the coast and provides outputs at spatial and temporal scales suitable for decision support. Model results provide predictions of adjusted land elevation ranges (AE) with respect to forecast sea-levels, a likelihood estimate of this outcome (PAE), and a probability of coastal response (CR) characterized as either static or dynamic. The predictions span the...
These tabular data are summaries of human related landscape variables within catchments of the Chesapeake Bay watershed using the Xstrm methodology at 1:24,000 scale. Variables being counted as human related include agriculture, barriers, road density and road/stream crossing data. Outputs consist of tabular comma-separated values files (CSVs) for both local catchment and network summaries linked to the National Hydrography Dataset Plus High-Resolution (NHDPlus HR) framework by NHDPlus ID. Local catchments are defined as the single catchment the data is summarized within. Network accumulation summaries were completed for each of the local catchments and their network connected upstream and/or downstream catchments....
Categories: Data; Tags: Agriculture, Aquatic Biology, Catchment, Catchments, Chesapeake, All tags...
thumbnail
The CBTN_v5 and CBTP_v5 SPARROW models were developed to support inferences about causes of observed changes in nitrogen and phosphorus (respectively) fluxes in Chesapeake Bay tributaries between 1992 and 2012. Model inputs and outputs are included in three files, which are described below. Detailed documentation of the SPARROW modeling technique is available at https://pubs.er.usgs.gov/publication/tm6B3.
thumbnail
Global trends in wetland degradation and loss have created an urgency to monitor wetland extent, as well as track the distribution and causes of wetland loss. Satellite imagery can be used to monitor wetlands over time, but few efforts have attempted to distinguish anthropogenic wetland loss from climate-driven variability in wetland extent. We present an approach to concurrently track land cover disturbance and inundation extent across the Mid-Atlantic region, United States, using the Landsat archive in Google Earth Engine. Disturbance was identified as a change in greenness, using a harmonic linear regression approach, or as a change in growing season brightness. Inundation extent was mapped using a modified version...
thumbnail
The Chesapeake Bay Estuary is the largest estuary in the United States and provides habitats for diverse wildlife and aquatic species, protects communities against flooding, reduces pollution to waterways, and supports local economies through commercial and recreational activities. In the Spring of 2018, the U.S. Geological Survey (USGS) Coastal National Elevation Database (CoNED) Applications Project at the USGS Earth Resources Observation and Science (EROS) Center and the Virginia Institute of Marine Science (VIMS) Center for Coastal Resources Management (CCRM) initiated collaborative work. The goal of this collaboration is to evaluate how various remote sensing technologies can be employed to model estuarine...
Tags: Bathymetry, Captain Sinclair's Recreational Area, Carter's Grove, Chesapeake Bay, Chippokes Plantation State Park, All tags...
thumbnail
This U.S. Geological Survey data release provides data on spatial variations in tidal datums, tidal range, and nuisance flooding in Chesapeake Bay and Delaware Bay. Tidal datums are standard elevations that are defined based on average tidal water levels. Datums are used as references to measure local water levels and to delineate regions in coastal environments. Nuisance flooding refers to the sporadic inundation of low-lying coastal areas by the maximum tidal water levels during spring tides, especially perigean spring tides (also known as king tides). Nuisance flooding is independent of storm event flooding, and it represents a cumulative or chronic hazard. The data were obtained by following a consistent methodology...
map background search result map search result map Probability of Predicted Elevation with respect to projected sea levels for the Northeastern U.S. from Maine to Virginia for the 2020s, 2030s, 2050s and 2080s (Albers, NAD 83) Seasonal precipitation for selected Chesapeake Bay watersheds Static soils, climate, hydrologic, topographic, and geographic characteristics for selected Chesapeake Bay watersheds Reservoir storage for selected Chesapeake Bay watersheds Nitrogen, Phosphorus, and Suspended-Sediment Loads and Trends measured in Nine Chesapeake Bay Tributaries: Trends in Annual Loads, Water Years 1985 - 2015 Inputs and Selected Predictions of the CBTN_v5 and CBTP_v5 SPARROW Models for the Chesapeake Bay Watershed Chesapeake Bay Endocrine Disrupting Chemicals Estimated effect of best management practice implementation on water quality in the Chesapeake Bay watershed from 1985 to 2014 Poultry Feeding Operations on the Delaware, Maryland, and Virginia Peninsula from 2016 to 2017 Tracking disturbance and inundation to identify wetland loss Tidal Datums, Tidal Range, and Nuisance Flooding Levels for Chesapeake Bay and Delaware Bay Chesapeake Bay Region Virginia River Bluff and Wetland Extent Mapping Chesapeake Bay Region Virginia River Bluff and Wetland Extent Mapping - 2020 Field Survey Data Data describing the effects of elastic leg-loop harnesses on adult and juvenile Common Terns Data regarding the efficacy of management practices for controlling gull use of Common Tern nesting colonies Data Release: Peat collapse and vegetation shift after storm-driven saltwater surge in a tidal freshwater swamp, vegetation Discharge measurements, air temperature, water temperature, and gage height data for select stream monitoring locations across Delmarva Peninsula (2022) Data Release: Peat collapse and vegetation shift after storm-driven saltwater surge in a tidal freshwater swamp, vegetation Chesapeake Bay Region Virginia River Bluff and Wetland Extent Mapping - 2020 Field Survey Data Discharge measurements, air temperature, water temperature, and gage height data for select stream monitoring locations across Delmarva Peninsula (2022) Chesapeake Bay Region Virginia River Bluff and Wetland Extent Mapping Poultry Feeding Operations on the Delaware, Maryland, and Virginia Peninsula from 2016 to 2017 Tidal Datums, Tidal Range, and Nuisance Flooding Levels for Chesapeake Bay and Delaware Bay Estimated effect of best management practice implementation on water quality in the Chesapeake Bay watershed from 1985 to 2014 Nitrogen, Phosphorus, and Suspended-Sediment Loads and Trends measured in Nine Chesapeake Bay Tributaries: Trends in Annual Loads, Water Years 1985 - 2015 Inputs and Selected Predictions of the CBTN_v5 and CBTP_v5 SPARROW Models for the Chesapeake Bay Watershed Seasonal precipitation for selected Chesapeake Bay watersheds Static soils, climate, hydrologic, topographic, and geographic characteristics for selected Chesapeake Bay watersheds Reservoir storage for selected Chesapeake Bay watersheds Tracking disturbance and inundation to identify wetland loss Probability of Predicted Elevation with respect to projected sea levels for the Northeastern U.S. from Maine to Virginia for the 2020s, 2030s, 2050s and 2080s (Albers, NAD 83)