Please use this identifier to cite or link to this item:
https://hdl.handle.net/11681/3316
Title: | RECOVERY : a contaminated sediment-water interaction model |
Authors: | Clemson University. Department of Civil Engineering. Dredging Operations Technical Support Program (U.S.) Ruiz, Carlos E. Schroeder, P. R. (Paul R.) Aziz, Nadim Mahmound, 1954- |
Keywords: | Contaminated sediments RECOVERY Modeling Mathematical models Numerical models Sediment quality Water quality Dredging Natural attenuation |
Publisher: | Environmental Laboratory (U.S.) Engineer Research and Development Center (U.S.) |
Series/Report no.: | ERDC/EL SR-D ; 00-1. |
Description: | Special Report Abstract: This report describes a screening-level model (RECOVERY) used to assess the long-term impact of contaminated bottom sediments on surface waters. The model couples contaminated interaction between the water column and the bottom sediment, as well as between the contaminated and clean bottom sediments. The analysis is intended primarily for organic contaminates with the assumption that the water column is well-mixed. The contaminant is assumed to follow linear, reversible, equilibrium sorption and first-order decay kinetics. The physical representation of a system consists of a well-mixed water column (i.e., zero-dimensional) underlain by a vertically stratified sediment column (i.e., one-dimensional). The sediment is well-mixed horizontally but segmented vertically into a well-mixed surface (active) layer and deep sediment. The deep sediment is segmented into variably contaminated and clean sediment regions. Processes incorporated in the model are sorption, decay, volatilization, burial, resuspension, settling, bioturbation, and pore-water diffusion. The solution couples contaminant mass balance in the water column and in the mixed sediment layer along with diffusion in the deep sediment layers. The model was verified against laboratory and field data, as well as against an analytical solution for the water and mixed sediment layers. These comparisons indicate that the model can be used as an assessment tool for evaluating remediation alternatives for contaminated bottom sediments. |
Rights: | Approved for public release; distribution is unlimited. |
URI: | http://hdl.handle.net/11681/3316 |
Appears in Collections: | Special Report |