Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/20343
Title: Testing and validation studies of the NSMII-benthic sediment diagenesis module
Authors: Zhang, Zhonglong.
Johnson, Billy E.
Keywords: Water quality
Hydrology
Hydrologic models
Chemical kinetics
Sediment transport
Water--Dissolved oxygen
Publisher: United States. Army. Corps of Engineers.
Engineer Research and Development Center (U.S.)
Environmental Laboratory (U.S.)
Ecosystem Management and Restoration Research Program (U.S.)
Series/Report no.: ERDC/EL ; TR-16-11
Abstract: Abstract: Nutrient simulation modules (NSMs) have been developed as “plug in” water quality modules for HEC-RAS (Hydrologic Engineering Center-River Analysis System) and other hydrologic and hydraulic models. The NSMs model multiple water quality constituents and biogeochemical processes in the water column. The NSMs consist of two modules: NSMI and NSMII, differing mainly in the number of water quality constituents (state variables) and kinetic processes (transformations) included. The benthic sediment diagenesis module was developed as an option module for coupling with the NSM I and NSMII’s water column kinetics. Sediment-water fluxes of dis-solved oxygen and nutrients are computed internally rather than prescribed if the benthic sediment diagenesis module is activated. The ability of the NSMII-benthic sediment diagenesis module to correctly predict sediment-water nutrient fluxes and sediment oxygen demand was validated and evaluated against observed data and existing benthic sediment diagenesis models through a series of case studies. These case studies were chosen for representing various sedimentation and environmental conditions in aquatic systems. The simulated sediment-water nutrient fluxes and sediment oxygen demand over time were generally in good agreement with observed data and two model results for all test cases. This report documents testing and evaluation of the NSMII-benthic sediment diagenesis module. The report describes the testing conditions, model inputs, and model results.
Description: At head of title: "Ecosystem Management and Restoration Research Program."
URI: http://hdl.handle.net/11681/20343
Appears in Collections:Technical Report

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