Reservoir Sediment Management and Monitoring Database

Authors:
Carly Hansen, Antonia Chu, Jiyong Lee, Mirko Musa


Citation:
Hansen, CH, Chu, A, Lee, J. Musa, M. 2026. Reservoir Sediment Management and Monitoring Database v1. HydroSource. Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA. https://doi.org/10.21951/res_sed_mgmt/3019328


File Descriptions:
US_Sediment_Management.csv: Describes sediment survey and management techniques at reservoirs and in upstream watersheds throughout the US based on federal and state agency websites, documented features in the National Inventory of Dams, journal articles, and project websites.

Downstream_Sediment_Monitoring.csv: Describes the records of sediment (concentration, total discharge, etc.) indexed to the National Linked Data Index available downstream of reservoirs.

Reservoir_Sediment_Management_Monitoring_field_descriptions.csv: A data dictionary describing the fields the US_Sediment_Management.csv and Downstream_Sediment_Monitoring.csv files


Abstract: This dataset compiles dam sediment management and monitoring information from surveys, case studies, and journal articles. Additionally, features described by the National Inventory of Dams (i.e., presence of sluice gates) are included to indicate known infrastructure features that may address sediment releases. The location and description of records from downstream monitoring gages are catalogued in order to help with tracking conditions over time (e.g., before and after management actions, as operations change, etc.). The data help address national scale understanding of challenges and solutions related to the accumulation of sediment behind a dam as well as downstream passage. Sediment trapping causes problems as it reduces storage capacity, disrupts dam and reservoir function, impedes access for recreation, alters water quality/habitat conditions, and contributes to riverbank and coastal erosion within the reservoir. Data compilation from a variety of sources is a first step towards assessing system-wide efficacy of management solutions.

Methodology:
An outer join on dams/reservoirs with surveys and survey reports (documented in the RESSED database, USBR or USACE databases, project websites, etc.) with the National Inventory of Dams, based on the NIDID to determine dams with documented management and/or sluice gates. Additional dams with documented management activity were identified through review of technical articles from the past 25 years in Journal of Hydrology, Journal of Water Resources Planning and Management, Geomorphology, Journal of Hydraulic Engineering, Water, Journal of Cleaner Production, International Journal of Sediment Research, Nature Scientific Reports, Earth Surface Processes and Landforms, and Environmental Science and Pollution Research. Individual records were created for each survey or management activity documented.
To evaluate downstream sediment monitoring records, the nhdPlusTools and dataRetrieval packages in R were used to find gages within 10km of each dam in the management database. Length of record and location of matched gages were retrieved for those parameters relevant to sediment concentration or total sediment discharge.


Related Datasets:
Chu, A, Hansen, CH, Lee, J. Musa, M. 2025. Reservoir Storage Capacity Change. HydroSource. Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA. https://doi.org/10.21951/3001919 

References:

USBR. 2025. Technical Service Center. Reservoir Surveys. Available at https://www.usbr.gov/tsc/techreferences/reservoir.html

Texas Water Development Board. 2025. Surface Water. Lake Surveys. Available at https://www.twdb.texas.gov/surfacewater/surveys/completed/list/index.asp

USACE. 2024. Enhancing Reservoir Sedimentation Information Web Portal (RSI). Retrieved September 5, 2024. Restricted access.
 
USACE. 2025. National Inventory of Dams. Retrieved August 18, 2025. Available at https://nid.usace.army.mil/#/downloads

USGS. 2026. National Water Information System data available on the World Wide Web (Water Data for the Nation), accessed January 28, 2026, at http://waterdata.usgs.gov/nwis/.

Dataset contacts:
Carly Hansen: hansench@ornl.gov
  

Acknowledgement:
Funding and support were provided by the U.S. Department of Energy's (DOE) Water Power Technology Office through Oak Ridge National Laboratory, which is managed by UT-Battelle, LLC