The stream corridor at the Big Spring Run restoration site has been identified as a substantial source of sediment and nutrients to streams due to streambank erosion and floodplain scour of legacy sediment. Three USGS streamgages were installed and water-quality monitoring began in water year 2009, prior to the legacy sediment removal from the restoration area. The legacy sediment was removed from approximately 4.6 acres within the Big Spring Run study area in the fall of 2011. Monitoring has continued in the post-restoration period. This study was conducted in cooperation with the Pennsylvania Department of Environmental Protection, Franklin and Marshall College, and the US Environmental Protection Agency and examines the effects of the legacy sediment removal on nutrients and sediment during the post-restoration monitoring period (Water Years 2012-2015) compared to the pre-restoration monitoring period (Water Years 2009-2011) in the Big Spring Run watershed. The content and connection among files in this product are described in the readme file.

The stream corridor at the Big Spring Run restoration site has been identified as a substantial source of sediment and nutrients to streams due to streambank erosion and floodplain scour of legacy sediment. Three USGS streamgages were installed and water-quality monitoring began in water year 2009, prior to the legacy sediment removal from the restoration area. The legacy sediment was removed from approximately 4.6 acres within the Big Spring Run study area in the fall of 2011. Monitoring has continued in the post-restoration period. This study was conducted in cooperation with the Pennsylvania Department of Environmental Protection, Franklin and Marshall College, and the US Environmental Protection Agency and examines the effects of the legacy sediment removal on nutrients and sediment during the post-restoration monitoring period (Water Years 2012-2015) compared to the pre-restoration monitoring period (Water Years 2009-2011) in the Big Spring Run watershed. The content and connection among files in this product are described in the readme file. The version 2.0 revision includes all available water temperature data from the three sites not published in NWISWeb, water years 2009 - 2016. NOTE: The previous version is available from the author; all of the data in the previous version can be found in version 2.0

Input and release of phosphate, nitrate, and ammonium measured using stacked ion-exchange resin bags on top of soil in floodplains along Pocomoke River, Maryland, in order to evaluate the effectiveness of floodplain reconnection on water quality functions.

The data.zip dataset contains metadata and total suspended solids, total phosphorus, nitrate plus nitrite, and total Kjeldahl nitrogen concentration data and associated daily mean streamflow data for the White River at Muncie, near Nora, and near Centerton, Indiana, 1991-2020

The data.zip dataset contains metadata and total suspended solids, total phosphorus, nitrate plus nitrite, and total Kjeldahl nitrogen concentration data and associated daily mean streamflow data for the White River at Muncie, near Nora, and near Centerton, Indiana, 1991-2020

Nutrient reduction on the landscape scale often focuses on actions that reduce the movement of nitrogen (N) and phosphorus (P) from agricultural lands into streams and rivers. However, processing of N and P in streams and rivers can be substantial and increasing these in-stream processing rates could result in reductions or transformations of nutrients to less labile or less mobile forms. We hypothesize that buffer conditions could influence the microbial community and sediment characteristics of streams and rivers and thereby influence in-stream N and P processing rates. As a result, we predict that variation in buffer land cover (from agricultural to wetlands to forest) causes differences in processing rates. To test this prediction, we measured inorganic nutrient transformation in the water column and sediment flux of inorganic N and P in streams draining predominantly agricultural landscapes in the Fox River and Duck Creek watersheds (WI, USA) repeatedly during the 2018 growing season.

Nutrient reduction on the landscape scale often focuses on actions that reduce the movement of nitrogen (N) and phosphorus (P) from agricultural lands into streams and rivers. However, processing of N and P in streams and rivers can be substantial and increasing these in-stream processing rates could result in reductions or transformations of nutrients to less labile or less mobile forms. We hypothesize that buffer conditions could influence the microbial community and sediment characteristics of streams and rivers and thereby influence in-stream N and P processing rates. As a result, we predict that variation in buffer land cover (from agricultural to wetlands to forest) causes differences in processing rates. To test this prediction, we measured inorganic nutrient transformation in the water column and sediment flux of inorganic N and P in streams draining predominantly agricultural landscapes in the Fox River and Duck Creek watersheds (WI, USA) repeatedly during the 2018 growing season.

This dataset consists of 262 variables which describe various known and suspected point and non-point sources of contaminants and endocrine disrupting compounds (EDCs) throughout the Chesapeake Bay Watershed. Contaminant data was summarized to the NHDPlus Version 2.1 catchment level (1:100K). Contaminant data summarized span a time range of 2001 to 2016 and include regulated facilities, pesticides, manure and biosolids application data, mercury deposition, animal feeding applications, septic systems, landfills, and land use and land cover. These data are presented in a comma separated file, which includes all variables summarized and the NHDPlus Version 2.1 FEATUREID field (also known as COMID). The FEATUREID field can be used to relate these summaries to the NHDPlus Version 2.1 data suite for mapping and other analytical purposes. Total (TOT) and Divergent (DIV) upstream summaries were generated using the NHDPlusV2 Catchment Attribute Allocation and Accumulation Tool (CA3TV2). Using this method, upstreams summaries are generated for 82,263 of the 83,637 NHDPlus catchments in the Chesapeake Bay Watershed. These data will be used to investigate source-sink linkages between contaminant sources, water quality issues, and impacted receptor populations (e.g., smallmouth bass) throughout the Bay Watershed. Information gained from this work may also be used to evaluate the success of mitigation activities and help to prioritize new locations for mitigation, implementation of best management practices, or habitat conservation actions.

The Maumee River transports huge loads of nitrogen (N) and phosphorus (P) to Lake Erie. The increased concentrations of N and P are causing eutrophication of the lake, creating hypoxic zones, and contributing to phytoplankton blooms. It is hypothesized that the P loads are a major contributor to harmful algal blooms that occur in the western basin of Lake Erie, particularly in summer. The Maumee River has been identified by the United States Environmental Protection Agency as a priority watershed where action needs to be taken to reduce nutrient loads. This study quantified rates of biogeochemical processes affecting downstream flux of N and P by 1) measuring indices of potential sediment P retention and 2) measuring nitrification and ambient and potential denitrification throughout the Maumee River Basin. Data generated from this project will inform models that estimate P retention and N removal potential in the basin and watershed models that simulate the effects of different conservation practices on the landscape.

The Maumee River transports huge loads of nitrogen (N) and phosphorus (P) to Lake Erie. The increased concentrations of N and P are causing eutrophication of the lake, creating hypoxic zones, and contributing to phytoplankton blooms. It is hypothesized that the P loads are a major contributor to harmful algal blooms that occur in the western basin of Lake Erie, particularly in summer. The Maumee River has been identified by the United States Environmental Protection Agency as a priority watershed where action needs to be taken to reduce nutrient loads. This study quantified rates of biogeochemical processes affecting downstream flux of N and P by 1) measuring indices of potential sediment P retention and 2) measuring nitrification and ambient and potential denitrification throughout the Maumee River Basin. Data generated from this project will inform models that estimate P retention and N removal potential in the basin and watershed models that simulate the effects of different conservation practices on the landscape.