This USGS data release includes a comma separated value (CSV) file that contains 19 reach-based dam metrics representing stream fragmentation and flow alteration for nearly 2.3 million stream reaches in the conterminous United States. Dam metrics fall into three main categories: count and density, distance-based, and cumulative reservoir storage (described below). These data were developed using spatially verified large dam locations (n=49,140) primarily from the National Anthropogenic Barrier Dataset (NABD) 2012 that were spatially linked to the National Hydrography Dataset Plus version 2.1 (NHDPlusV2.1). These dam metrics have been summarized using the unique identifier field native to the NHDPlusV2.1 (COMID) which can be used to join this table to spatial layers and data tables of the NHDPlusV2.1. Non-fluvial features representing lakes and reservoirs in the NHDPlusV2.1 are included (~300,000 features), however coastlines are excluded. For more details see the associated publication: Cooper, A.R., Infante, D.M., Daniel, W.M., Wehrly, K.E., Wang, L., Brenden, T.O. 2017. Assessment of dam effects for streams and fish assemblages of the conterminous USA. Science of the Total Environment https://doi.org/10.1016/j.scitotenv.2017.02.067

This CSV file contains 21 dam metrics representing stream fragmentation and flow alteration for nearly 2.3 million stream reaches in the conterminous USA. Dam metrics fall into four main categories: segment-based, count and density, distance-based, and cumulative reservoir storage (described below). These data were developed using spatially verified large dam locations (n=49,468) primarily from the National Anthropogenic Barrier Dataset (NABD) that were spatially linked to the National Hydrography Dataset Plus version 1 (NHDPlusV1). These dam metrics have been summarized using the unique identifier field native to the NHDPlusV1 (COMID) which can be used to join this table to spatial layers and data tables of the NHDPlusV1. Non-fluvial features in the NHDPlusV1 (lake and reservoir flow paths, coastlines, etc.) are excluded (see NFHP metadata). Please contact Arthur Cooper (coopera@msu.edu) for a copy of the publication associated with this data: Cooper, A.R., Infante, D.M., Daniel, W.M., Wehrly, K.E., Wang, L., Brenden, T.O. 2017. Assessment of dam effects for streams and fish assemblages of the conterminous USA. Science of the Total Environment doi:10.1016/j.scitotenv.2017.02.067

This CSV file contains 21 dam metrics representing stream fragmentation and flow alteration for nearly 2.3 million stream reaches in the conterminous USA. Dam metrics fall into four main categories: segment-based, count and density, distance-based, and cumulative reservoir storage (described below). These data were developed using spatially verified large dam locations (n=49,468) primarily from the National Anthropogenic Barrier Dataset (NABD) that were spatially linked to the National Hydrography Dataset Plus version 1 (NHDPlusV1). These dam metrics have been summarized using the unique identifier field native to the NHDPlusV1 (COMID) which can be used to join this table to spatial layers and data tables of the NHDPlusV1. Non-fluvial features in the NHDPlusV1 (lake and reservoir flow paths, coastlines, etc.) are excluded (see NFHP metadata). Please contact Arthur Cooper (coopera@msu.edu) for a copy of the publication associated with this data: Cooper, A.R., Infante, D.M., Daniel, W.M., Wehrly, K.E., Wang, L., Brenden, T.O. 2017. Assessment of dam effects for streams and fish assemblages of the conterminous USA. Science of the Total Environment doi:10.1016/j.scitotenv.2017.02.067

This tabular data set contains decadal information on dams compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data for dam information was produced by the United States Army Corps of Engineers. The information provided here contains the number of dams (both major and minor), dam storage (acre feet) and decade of construction compiled as described above. Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes cumulative upstream conditions. Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. (Schwarz and Wieczorek, 2018).

This tabular data set contains decadal information on dams compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data for dam information was produced by the United States Army Corps of Engineers. The information provided here contains the number of dams (both major and minor), dam storage (acre feet) and decade of construction compiled as described above. Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes cumulative upstream conditions. Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. (Schwarz and Wieczorek, 2018).

This tabular data set contains decadal information on dams compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data for dam information was produced by the United States Army Corps of Engineers. The information provided here contains the number of dams (both major and minor), dam storage (acre feet) and decade of construction compiled as described above. Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes cumulative upstream conditions. Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. (Schwarz and Wieczorek, 2018).

This metadata record describes two metrics that quantitatively measure the impact of reservoir storage on every flowline in the NHDPlus version 2 data suite (NHDPlusV2) for the conterminous United States. These metrics are computed for every 10 years from 1800 - 2015. The first metric (DamIndex_EROM.zip) estimates reservoir storage intensity in units of days based on reservoir storage in a contributing area normalized by the mean annual streamflow. This metric indicates the duration of storage impact upstream from each stream segment relative to the typical flow condition. In addition, this metric provides an assessment of the potential influence of a dam on average and low flows because the metric estimates the number of days of flow that can be sustained by contributing area storage alone, without additional water or groundwater input. The second metric (DamIndex_PMC.zip) represents the degree of regulation of a river reach based on upstream reservoir storage relative to the 30-year average annual precipitation, as well as the upstream dam and watershed areas. This second metric provides an estimate of the capacity of the contributing area to store precipitation and is oriented to understanding how peak flows may be affected by dams throughout the flow network; this metric is dimensionless. Reservoir storage, construction date and location data were obtained from the US Army Corps of Engineers' National Inventory of Dams (NID, 2018). Also, the dataset in this data release includes dam locations addressed to NHDPlusv2 (Final_NID_2018.zip). These calculations are based on the maximum NID storage , which indicates the maximum amount of water that can be stored behind each dam and therefore may overestimate the true reservoir storage impacts.

This metadata record documents two comma separated text files of average daily fresh-water withdrawal amounts by NHDPlus v2.1 catchment (COMID) within the conterminous United States for calendar year 2010. County-level reported estimated use of water are specifically reported as groundwater and surface water and are allotted to catchments by a sum of the catchment based on evenly distributing the county total across the number of county land-area pixels. All values are reported as gallons per day. Source county-level data were acquired from Estimated use of water in the United States in 2010 (Maupin and others, 2014; available at https://dx.doi.org/10.3133/cir1405). These datasets can be linked to the NHDPlus version 2.1 data suite by the unique identifier COMID (or comid).

This metadata record documents two comma separated text files of average daily fresh-water withdrawal amounts by NHDPlus v2.1 catchment (COMID) within the conterminous United States for calendar year 2010. County-level reported estimated use of water are specifically reported as groundwater and surface water and are allotted to catchments by a sum of the catchment based on evenly distributing the county total across the number of county land-area pixels. All values are reported as gallons per day. Source county-level data were acquired from Estimated use of water in the United States in 2010 (Maupin and others, 2014; available at https://dx.doi.org/10.3133/cir1405). These datasets can be linked to the NHDPlus version 2.1 data suite by the unique identifier COMID (or comid).

This metadata record documents two comma separated text files of average daily fresh-water withdrawal amounts by NHDPlus v2.1 catchment (COMID) within the conterminous United States for calendar year 2010. County-level reported estimated use of water are specifically reported as groundwater and surface water and are allotted to catchments by a sum of the catchment based on evenly distributing the county total across the number of county land-area pixels. All values are reported as gallons per day. Source county-level data were acquired from Estimated use of water in the United States in 2010 (Maupin and others, 2014; available at https://dx.doi.org/10.3133/cir1405). These datasets can be linked to the NHDPlus version 2.1 data suite by the unique identifier COMID (or comid).