Keywords
sediment; NHDPlus V2; water quality
Start Date
5-7-2022 12:00 PM
End Date
8-7-2022 9:59 AM
Abstract
Towards the goal of creating a comprehensive water quality/quantity system of reusable and inter-operable modeling components, the USEPA developed Hydrologic Micro Services (HMS - https://qed.epa.gov/hms/). HMS is a series of data provisioning and hydrologic processes used to build workflows for decision support systems and provide comprehensive surface water modeling within the United States. When conducting a modeling exercise, users choose modules to form a workflow specific to their prediction/forecast needs. HMS outputs include flow and water quality variables associated with nutrient and sediment dynamics of aquatic ecosystems at enhanced spatial and temporal resolution of predictions/forecasts. With limited available data for total suspended sediment (TSS), modeling particle advection and settling dynamics is essential for developing total maximum daily loads (TMDLs) and biotic solids production which serve as eutrophication agents in aquatic ecosystems. The SYLVIA v1.0 module within HMS provides the location, concentration, and mass loadings for TSS introduced into a NHDPlus V2 stream segment (COMID) network. NHDPlus V2 is a national, medium resolution stream and river data product maintained by the EPA Office of Water (https://www.epa.gov/waterdata/nhdplus-national-hydrography-dataset-plus). Model initialization is performed through data acquisition from the HMS workflow beginning with importing streamflow, stream velocity, and bank-full depth for the COMIDs selected within the network domain. Additionally, users provide conditional descriptive and processed based particle characteristics capturing settling, resuspension, and depositional processes. These regimes are implemented with an iterative mass balance advective transport approach. SYLVIA is a vertically-stratified, three-layer water column model, where the bottom layer represents the surface benthic layer. Here, we present a technical demonstration of the underlying algorithms, the user defined state variables, and a representative case study analysis.
Hydrologic Micro Services (HMS) sediment module using the Sediment Yield’s Layered Vertically in Advection (SYLVIA v1.0) algorithm
Towards the goal of creating a comprehensive water quality/quantity system of reusable and inter-operable modeling components, the USEPA developed Hydrologic Micro Services (HMS - https://qed.epa.gov/hms/). HMS is a series of data provisioning and hydrologic processes used to build workflows for decision support systems and provide comprehensive surface water modeling within the United States. When conducting a modeling exercise, users choose modules to form a workflow specific to their prediction/forecast needs. HMS outputs include flow and water quality variables associated with nutrient and sediment dynamics of aquatic ecosystems at enhanced spatial and temporal resolution of predictions/forecasts. With limited available data for total suspended sediment (TSS), modeling particle advection and settling dynamics is essential for developing total maximum daily loads (TMDLs) and biotic solids production which serve as eutrophication agents in aquatic ecosystems. The SYLVIA v1.0 module within HMS provides the location, concentration, and mass loadings for TSS introduced into a NHDPlus V2 stream segment (COMID) network. NHDPlus V2 is a national, medium resolution stream and river data product maintained by the EPA Office of Water (https://www.epa.gov/waterdata/nhdplus-national-hydrography-dataset-plus). Model initialization is performed through data acquisition from the HMS workflow beginning with importing streamflow, stream velocity, and bank-full depth for the COMIDs selected within the network domain. Additionally, users provide conditional descriptive and processed based particle characteristics capturing settling, resuspension, and depositional processes. These regimes are implemented with an iterative mass balance advective transport approach. SYLVIA is a vertically-stratified, three-layer water column model, where the bottom layer represents the surface benthic layer. Here, we present a technical demonstration of the underlying algorithms, the user defined state variables, and a representative case study analysis.
Stream and Session
false